123 Data Scientist jobs

Key Responsibilities: 1. Collect, analyze, and interpret complex data to inform business decisions. 2. Develop and maintain databases, data systems, and data processes. 3. Create data visualizations, reports, and dashboards to communicate insights to stakeholders. 4. Collaborate with cross-functional teams, including business stakeholders, data scientists, and IT professionals. 5. Develop and implement data models, algorithms, and statistical models to solve complex business problems. 6. Stay up-to-date with industry trends, emerging technologies, and new tools and methodologies. Requirements: 1. Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. 2. Advanced degree (e.g., MS) preferred. 3. Minimum 2 years of experience in data analysis or a related field. 4. Professional certifications, such as Google Data Analytics or Microsoft Certified: Data Analyst Associate. 5. Strong analytical, problem-solving, and communication skills. 6. Ability to work in a fast-paced environment. 7. Proficiency in data analysis tools, such as Excel, SQL, Tableau, or Power BI. Nice to Have: 1. Experience with programming languages, such as Python, R, or Julia. 2. Knowledge of machine learning algorithms and statistical modeling. 3. Familiarity with cloud-based technologies, such as AWS or Azure. 4. Experience with data visualization tools, such as D3.js or Matplotlib.

Failing Interviews or not getting Interviews Isn't a Talent Problem. It's a Tech stack Problem. If you're getting interviews but not offers, you're closer than you think-and that's the most frustrating stage to be in. You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates don't fail because they're "not smart." They fail because they prepared the wrong way-watching tutorials, building shallow projects, or memorizing answers without mastering fundamentals. SynergisticIT's approach is built for this exact scenario. Since 2010, SynergisticIT has helped candidates move from "almost" to "offer," with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Client, Client, Banking, Walmart Labs, AutoZone, Client, Client, and more. SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI. Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end" thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps, and international candidates on F1/OPT who need employment to maintain status and pursue STEM extension/H-1B pathways. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer). Explore resources and get started: If you want to explore the program directly, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: If you're tired of being "final round" without the offer, stop guessing and start preparing with a plan. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

"Failing Tech Interviews? Or Not getting any Interviews ? Turn 'Frustration' Into an Offer." Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. It's also one of the most fixable-because interview performance is rarely about intelligence. It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they don't learn how to present their skills under pressure. SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers-companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and many more-with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear. Why do people fail interviews after doing CS or online courses? Typically it's one (or several) of these gaps: Weak fundamentals (you know syntax, but not the "why") Poor project explanation (you built something, but can't defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on-like a sport. You don't just watch videos; you practice real drills. We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI-because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes). If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Form (Get Started): If you're already getting interviews, you're closer than you think. Now it's time to train like you mean it-and turn interviews into offers. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

"Ghosted by companies after Interviews and/or Failing Interviews? or worse no Interviews?-Start getting offers" For jobseekers who get interviews but don't convert them into offers If you're getting interviews but not offers, you're closer than you think-yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: "almost hired" over and over again, while the confidence drops. The truth is that interviewing is its own skill, and most bootcamps don't teach it deeply. They teach how to code-but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer. Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you don't know what the interview is truly measuring. Interviews rarely test "can you write code at home." They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is "I reach interviews but don't clear them," you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You don't need to be perfect-you need to show you can think, collaborate, and deliver. That's why guided mock interviews and structured interview coaching can be a game-changer. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in "screen round limbo" Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven't interviewed in years and feel rusty Career changers who fear "I'm behind CS grads" (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical. Event videos (OCW, JavaOne, Gartner): USA Today feature If you're tired of failing interviews and want a structured plan to convert interviews into offers, start here: Contact SynergisticIT: Because getting hired isn't about trying harder-it's about preparing smarter, practicing correctly, and having the right guidance. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

W2 Machine Learning Engineer in Los Angeles, CA. Opportunity! This Jobot Consulting Job is hosted by: Robert Reyes Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $120,000 - $180,000 per year A bit about us: Prestige Hospital System Placed in both California in a broad assessment of excellence in hospital-based patient care. Why join us? Competitive Salary Stellar Benefits (Medical, Dental Vision, Life Insurance) Flexible Schedule Job Stability Career growth The position offers a competitive salary If you are passionate, thrive in a fast-paced environment and are ready to take your career to the next level, we would love to hear from you. Job Details Job Details: We are seeking a dynamic and innovative Consulting Machine Learning Engineer to join our Tech Services team. The successful candidate will be responsible for the full lifecycle management of machine learning models, including design, build, and maintenance. As an MLOps Engineer, you will play an integral role in implementing artificial intelligence solutions across our organization. You will partner with data scientists, data team members, and clinical operations to deploy, monitor, and maintain machine learning solutions that will improve operational efficiency and advance research. Responsibilities: Deploying and maintaining production-grade machine learning models, ensuring real-time inference, scalability, and reliability. Developing end-to-end scalable ML infrastructures using on-premise cloud platforms such as AWS, GCP, or Azure. Leading engineering efforts in creating and implementing methods and workflows for ML/GenAI model engineering, LLM advancements, and optimizing deployment frameworks. Developing AI pipelines for various data processing needs, ensuring solutions meet all technical and business requirements. Collaborating with data scientists, data engineers, analytics teams, and DevOps teams to design and implement robust deployment pipelines. Implementing and optimizing CI/CD pipelines for machine learning models, automating testing and deployment processes. Setting up monitoring and logging solutions to track model performance, system health, and anomalies. Implementing version control systems for machine learning models and associated code. Ensuring machine learning systems meet security and compliance standards, including data protection and privacy regulations. Maintaining clear and comprehensive documentation of ML Ops processes and configurations. Qualifications: Bachelor's degree in computer science, artificial intelligence, informatics or closely related field. Master's degree in computer science, engineering or closely related field. Minimum of 3 years relevant Machine Learning Engineer Experience. Experience with AI and machine learning platforms (e.g., AWS, Azure or GCP). Proficiency in containerization technologies (e.g., Docker) or container orchestration platforms (e.g., Kubernetes). Experience with CI/CD tools (e.g., Github Actions). Proficiency in programming languages and frameworks (e.g., Python, R, SQL). Deep understanding of coding, architecture, and deployment processes. Strong understanding of critical performance metrics. Extensive experience in predictive modeling, LLMs, and NLP. Understanding of healthcare regulations and standards, and familiarity with Electronic Health Records (EHR) systems. Experience in managing end-to-end ML lifecycle and automation with Terraform is a must. Ability to effectively articulate the advantages and applications of the RAG framework with LLMs. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Director, Data Science and Marketing Analytics Innovation US-MI-Livonia Job ID: Type: Regular Full-Time # of Openings: 1 Category: Marketing Analytics & Data Science Livonia, MI Hybrid Overview Why AAA Life AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them - and their families - when we're needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive. How You'll Work Work Solution: Hybrid Relocation Eligibility: Available Responsibilities What You'll Do The Data Science and Marketing Analytics Innovation Lead drives data-driven marketing strategies for a specific product line. This agile, empathetic, adaptable analytics leader bridges marketing and data science teams while demonstrating deep data science marketing knowledge-including direct mail, digital strategies, customer behavior, campaign execution and optimization, and process automation -to develop effective, data-driven decisions. Excelling at multitasking, they seamlessly transition between strategic planning and tactical execution under tight deadlines, effectively communicating complex concepts to diverse audiences. They contribute to the organizational transformation initiatives, lead change management, foster a culture of data-driven decision-making, identify and implement emerging analytics technologies. This role supervises a team of data scientists, analysts, and engineers and collaborates with product team members and managers. Product Data and Analytics Strategy : Develop and execute data and analytics plans aligned with product and organizational goals. Predictive Modeling : Lead the creation of customer segmentation and propensity models to enhance marketing effectiveness. Marketing Analytics : Direct cross-channel campaign analysis, establish KPIs, and optimize marketing ROI. Cross-functional Collaboration : Serve as the primary liaison between data teams and marketing stakeholders, translating technical insights into actionable business recommendations. Team Leadership : Mentor and manage Data Scientists, Analysts, Engineers in a collaborative, innovative environment. Data Infrastructure : Collaborate with Analytics Engineering to build and maintain robust, compliant data pipelines. Experimental Design : Implement testing frameworks and A/B experiments to boost customer experience and marketing performance. Performance Reporting : Develop dashboards and reports to monitor product performance and key business metrics. Automation Strategy : Spearhead the identification, design, and implementation of automation opportunities, including generative AI, across the data and marketing workflow. Develop intelligent automation solutions that reduce manual effort, increase operational efficiency, and allow the team to focus on high-value strategic activities. Innovation and Optimization : Review and understand tools in the marketplace that will help with innovation and optimization. Actively seek out new use cases and experiments that will result in organizational transformation and sales and profit improvements. Qualifications Basic Required Qualifications Master's degree in Statistics, Data Science, Economics, Computer Science, Mathematics, or related quantitative field Minimum 10 years of experience in data science, analytics, or related field Minimum of 7 years of experience in managing and leading people Strategic thinker with a passion for innovative marketing strategies; has a deep understanding of direct mail and digital marketing analytics. Proven leadership in data science or analytics with a marketing focus. Strong technical background in predictive modeling, statistics, and data visualization coupled with experience leading teams through organizational transformation and innovation. Extensive hands-on experience in direct marketing, digital campaign optimization, experimental design, A/B testing, modeling using Generative AI/ML, and marketing media attribution models. Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts Advanced proficiency in Python, SQL, and marketing technology platforms such as DataRobot, Adobe Campaigns, DataBricks, and CDPs. Experience with marketing technology cloud platforms (AWS, Azure, GCP) and data visualization tools (Tableau, Power BI, or similar). Adaptable and quick with technology. Knowledge of automation tools and technologies (workflow automation, RPA, AI-driven automation). Experience designing and implementing automated reporting and alerting systems. Excellent persuasive communication skills for bridging technical and non-technical audiences. Excellent presentation skills for executive leadership. Preferred Qualifications Previous experience in the life insurance, insurance, or adjacent industry Experience with Generative AI technologies for marketing applications Experience leading cross-functional teams in a matrix organization without direct authority Experience with customer journey and lifetime value analysis Position Success Criteria Excellent written and verbal communication skills Strong organizational, problem-solving, and analytical skills Versatility, flexibility, and willingness to adapt to changing priorities Ability to exercise independent judgment and demonstrate leadership skills Proven ability to manage multiple projects and meet deadlines Strong interpersonal skills for effective collaboration and stakeholder engagement While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus. This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future. PM21 PI8cac5dbe83cb-8688

Applied Everywhere? Still No Interviews or Offers? Let's Fix the Missing Link." If you've sent out hundreds-maybe thousands-of applications and your inbox is still silent, it doesn't mean you're not capable. It usually means your profile isn't lining up with how companies filter, shortlist, and interview candidates right now. In today's market, employers expect more than a degree or a few tutorial projects. They want candidates who look job-ready on paper, sound confident in interviews, and demonstrate hands-on ability in the tools teams actually use. That's exactly what SynergisticIT's JOPP is built to solve-because the real challenge isn't learning in isolation. The real challenge is translating learning into interviews and offers. Since 2010, SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands-think Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Wayfair, and many more-often in the $95k to $154k offer range depending on role, location, and skillset. The purpose of SynergisticIT's JOPP is simple: close the gap between what you know and what employers expect you to prove. That gap is where most bootcamps leave you stranded. Here's the truth most bootcamps won't say out loud: training alone doesn't win offers. Many programs teach "just enough to build a demo," but employers hire based on whether you can handle real work-clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That's why SynergisticIT positions JOPP as a Job Placement Program, not just a bootcamp. The program emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process. What roles are in demand right now? A lot of jobseekers assume they must become "AI experts" overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine learning/AI engineer. In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on what employers repeatedly request. Who benefits most from this model? If you're applying and not seeing results, you're likely in one of these situations: You have skills, but your resume doesn't show impact and your projects look generic You know tools, but you can't explain them confidently in interviews You've learned from courses, but you lack real-world structure and job alignment You've built a portfolio, but it doesn't match what hiring managers evaluate SynergisticIT works especially well for candidates such as: recent grads in CS/Engineering/Math/Stats, jobseekers who were laid off and need an updated stack, career switchers who want a guided plan, candidates with career gaps, people with "learning but not hired" bootcamp history, experienced professionals not landing interviews, and international candidates on F1/OPT needing a clear employment pathway. SynergisticIT also supports candidates with guidance around STEM extension, and provides process support for H-1B and Green Card filing once employed (as applicable through employers and standard processes). If you're reading this and thinking, "I've already done a bootcamp," you're not alone. SynergisticIT often sees candidates join after trying other bootcamps, Udemy/Coursera tracks, or university bootcamps-then realizing the missing piece was job-placement execution. Many programs focus on teaching; SynergisticIT focuses on getting you hired. If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us (Fill the Form): You don't need more random applications. You need a job-ready plan. Start smarter-start with the right support. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT

Failing Interviews Isn't a Talent Problem. It's a Preparation Problem. If you're getting interviews but not offers, you're closer than you think-and that's the most frustrating stage to be in. You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates don't fail because they're "not smart." They fail because they prepared the wrong way-watching tutorials, building shallow projects, or memorizing answers without mastering fundamentals. SynergisticIT's approach is built for this exact scenario. Since 2010, SynergisticIT has helped candidates move from "almost" to "offer," with many JOPP graduates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Client, Client, Banking, Walmart Labs, AutoZone, Client, Client, and more. The difference is that JOPP is designed to prepare you for how employers evaluate, not how bootcamps teach. SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI. Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end" thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives. This is where many bootcamps fall short. They train you, hand you a certificate, and leave you alone. about 30% of candidates entering the Job Placement Program have already tried Udemy, Coursera, university bootcamps, or other coding bootcamps and still didn't land jobs-because those paths often focus on learning content, not passing interviews and securing offers. Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps, and international candidates on F1/OPT who need employment to maintain status and pursue STEM extension/H-1B pathways. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer). Explore resources and get started: If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: If you're tired of being "final round" without the offer, stop guessing and start preparing with a plan. Fill out the SynergisticIT contact form and ask about the JOPP track that matches your target role. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT

"No Responses to 100's of Applications? Make Recruiters Notice You." If your applications disappear into a black hole, you're experiencing the modern hiring funnel. Most resumes never reach a hiring manager. They're filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals-specific stacks, strong project depth, relevant certifications, and clear experience narratives. That's why "I applied a lot" often leads to silence. The fix is not more applications. The fix is improving what your application communicates in the first 10 seconds. SynergisticIT's JOPP is built to help you do exactly that. Since 2010, SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and hundreds more. Many JOPP graduates achieve offers in the $90,000 to $154,000 range depending on their role focus and skill coverage. The program's purpose is to align your skills and profile with what employers are hiring for right now-so you get responses, interviews, and offers. Why you may not be getting replies Your resume lacks stack clarity (recruiters can't quickly see your fit) Projects look like tutorials (no depth, no real-world features, no measurable outcomes) Skills are scattered (no coherent narrative: "What role are you targeting?") You're missing job-market staples (Git, CI/CD basics, APIs, cloud exposure, SQL) You're not speaking the language of the job description SynergisticIT approaches this from both angles: build real skills and build a market-ready profile. JOPP is positioned as a job placement program-not a training-only bootcamp-because it includes the support that many programs skip: preparing you for screening, interview calls, technical rounds, and offer negotiation readiness. Target roles and stacks Current demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers. The focus remains consistent: Java / Full Stack / DevOps plus Data Analytics / Data Engineering / Data Science / Machine Learning / AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system. Why JOPP is different Many bootcamps sell hope with flashy marketing and "guarantees" that come with fine print. JOPP positions itself around outcomes: building job-ready capability and supporting candidates through the job search. SynergisticIT also notes that roughly 30% of candidates entering JOPP previously tried bootcamps, university programs, or Udemy/Coursera paths but didn't get hired-because those programs focused on learning, not job placement execution. Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers needing a stable tech role. SynergisticIT also provides support and guidance around STEM extension, and process support related to H-1B and Green Card filing once employed (as applicable through employers). If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us (Fill the Form): If recruiters aren't responding, it's not the end-it's feedback. And you can fix it with the right plan. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT

Overview We're looking for a Contingent Worker (CW) to help build and maintain OpenXR-based XR applications. You'll work closely with engineers and cross-functional partners to prototype, implement, and iterate on immersive experiences that run across OpenXR-capable runtimes/devices. Responsibilities Develop XR applications using OpenXR (end-to-end: architecture, implementation, testing, and iteration). Build interactive features such as the following: Input handling (controllers, hands, action sets, haptics) Scene/interaction systems (grabbing, ray interactions, UI in 3D) Rendering and performance optimizations (frame pacing, latency-sensitive updates) Integrate platform/runtime features where applicable (tracking spaces, anchor-like constructs, passthrough/scene understanding if available via extensions). Create clean, testable code and contribute to basic CI/build scripts as needed. Debug runtime/device issues (graphics, tracking, input) and provide clear repro steps and fixes. Collaborate with product/UX and engineering stakeholders and document designs and tradeoffs. Minimum Qualifications 3+ years of professional software development experience (or equivalent). Hands-on experience shipping 3D real-time applications (XR, games, simulation, or visualization). Practical experience with OpenXR (core concepts: instance/session, swapchains, spaces, actions). Strong C/C++ and/or C# skills (depending on stack), plus solid debugging skills. Experience with a real-time engine or framework such as Unity (C#) and OpenXR plugin ecosystem, or Unreal (C++) XR pipeline, or Custom/native OpenXR rendering with Vulkan/OpenGL/DirectX Understanding of rendering/perf constraints for XR (72/90/120 FPS targets, GPU/CPU bottlenecks, latency). Preferred Qualifications Shipped at least one OpenXR-based app or feature to production. Experience with OpenXR extensions (e.g., hand tracking, eye gaze, foveated rendering, scene/space-related extensions). Graphics experience: Vulkan/OpenGL/DirectX, shaders, profiling tools (RenderDoc, engine profilers). Android XR experience (Gradle, NDK, JNI) or low-level platform integration. Experience building reusable components/frameworks for XR interaction or app scaffolding.

"Stop Failing Interviews-Start Acing Them" For jobseekers who get interviews but don't convert them into offers If you're getting interviews but not offers, you're closer than you think-yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: "almost hired" over and over again, while the confidence drops. The truth is that interviewing is its own skill, and most bootcamps don't teach it deeply. They teach how to code-but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer. That's exactly where SynergisticIT's Job Placement Program (JOPP) is positioned differently. Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers, and the point of JOPP is not simply training-it's to align your skills with what interview panels actually evaluate. around 30% of JOPP candidates previously tried other bootcamps or platforms like Udemy/Coursera without job success-often because those programs focus on learning checklists, not hiring performance. The best way to understand this: you can be smart and still fail interviews if you don't know what the interview is truly measuring. Interviews rarely test "can you write code at home." They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? That's why a job-focused program must include more than training. SynergisticIT's JOPP emphasizes end-to-end preparation for roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is "I reach interviews but don't clear them," you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You don't need to be perfect-you need to show you can think, collaborate, and deliver. That's why guided mock interviews and structured interview coaching can be a game-changer. Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in "screen round limbo" Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven't interviewed in years and feel rusty Career changers who fear "I'm behind CS grads" (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical. If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature If you're tired of failing interviews and want a structured plan to convert interviews into offers, start here: Contact SynergisticIT: Because getting hired isn't about trying harder-it's about preparing smarter, practicing correctly, and having the right guidance. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT

Career Gap? Outdated Tech stack? Rebuild Momentum and Get Back Into the Market. If you've been unemployed for 3-6+ months-or longer-you've probably seen how quickly the market can change. A career gap or an outdated tech stack can reduce callbacks, even when you have talent. Recruiters may assume your skills are outdated or your confidence is lower. But gaps don't define ability. They simply require a strategy: refresh your stack, rebuild proof of work, and re-enter with structure. SynergisticIT's JOPP is designed for exactly this scenario. Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers-companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Client, Banking, Walmart Labs, Client, and more-often with offers between $90,000 and $154,000 depending on role and expertise. JOPP is built to close the gap between "I used to work in tech" or "I learned tech" and "I'm ready to be hired today." Why gaps hurt-and how to neutralize them Employers worry about currency: are your tools current? Can you still perform? The solution is demonstrating recent, relevant work: projects, certifications, and interview readiness. JOPP helps you rebuild that proof and confidence systematically. Current role demand (expressed with variety) SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI. Why programs don't fix gaps Many candidates with gaps try "one more course," but that rarely changes outcomes. SynergisticIT often sees candidates arrive after trying multiple bootcamps or online learning platforms and still not securing roles. A commonly cited pattern is that around 30% of JOPP candidates have already done other bootcamps, university bootcamps, or Udemy/Coursera tracks and didn't get hired-because those options focused on learning without the placement and interview execution. Ideal candidates for gap-to-offer support Professionals returning after layoffs or personal reasons Candidates with limited recent experience but strong potential Recent grads who never launched properly International candidates on F1/OPT with timeline pressure SynergisticIT provides guidance around STEM extension and process support for H-1B/Green Card filing once employed (as applicable through employers). Want to see credibility and event participation? If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Us: Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT A gap isn't the end of your career. It's a chapter-and you can write the next one strategically

Data Scientist - Property/Casualty Farm Bureau is looking for a strong data driven professional to join our team and help us live out our mission of protecting livelihoods and futures. In this role, you will perform statistical analysis as part of the predictive modeling team and assist in the delivery of pricing models and competitive research. Candidate must be local to the Des Moines area, or willing to relocate as at least three days in the office is required per week. Candidates must also have predictive modeling or actuarial experience. Who We Are: At Farm Bureau Financial Services, we make insurance simple so our client/members can feel confident knowing their family, home, cars and other property are protected. We value a culture where integrity, teamwork, passion, service, leadership and accountability are at the heart of every decision we make and every action we take. We're proud of our more than 80-year commitment to protecting the livelihoods and futures of our client/members and creating an atmosphere where our employees thrive. What You'll Do: Develop, implement, and document predictive models Interpret results to audiences of various technical knowledge Test, validate, and correct / clean data as needed Collaborate with managing actuaries on the pricing teams to deliver results What It Takes to Join Our Team: College degree plus 3 years predictive modeling experience required. Property Casualty experience preferred. Must have strong skills with SQL, R, Emblem or other predictive modeling software. Be team focused and be able to work in a collaborative work environment. Strong communication and presentation skills. What We Offer You: When you're on our team, you get more than a great paycheck. You'll hear about career development and educational opportunities. We offer an enhanced 401K with a match, low-cost health, dental, and vision benefits, and life and disability insurance options. We also offer paid time off, including holidays and volunteer time, and teams who know how to have fun. Add to that an onsite wellness facility with fitness classes and programs, a daycare center, a cafeteria, and for many positions, even consideration for a hybrid work arrangement. Farm Bureau where the grass really IS greener! Work Authorization/Sponsorship Applicants must be currently authorized to work in the United States on a full-time basis. We are not able to sponsor now or in the future, or take over sponsorship of, an employment visa or work authorization for this role. For example, we are not able to sponsor OPT status.

From 'I Know basics" to 'I'm Ready for Interviews': Level Up Without Starting Over." Not every jobseeker is a beginner. Many candidates already have foundational skills-maybe you've built projects, completed certifications, or worked in a tech-adjacent role. But when you apply to stronger companies or higher-paying roles, the bar shifts: you're expected to understand reliability, scalability, system design, cloud workflows, and real business tradeoffs. That's where many "training-only" paths fail-you learn tools, but you don't learn how to perform like a production engineer. SynergisticIT has helped candidates since 2010 bridge that gap and land full-time roles with offers often ranging from $90,000 to $154,000, depending on role and level. JOPP candidates have received offers from employers such as Apple, Google, PayPal, Visa, Western Union, Wells Fargo, Client, Client, Banking, Client, Walmart Labs, AutoZone, Client, and more. The program emphasis is not "watch videos and hope"-it's structured preparation aligned to what hiring managers actually test. SynergisticIT supports roles such as entry-level programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The program focus areas are Java / Full Stack / DevOps and Data Engineering / Analytics / Data Science / BI + Machine Learning / AI. For candidates aiming to level up, the value is that you build depth across multiple layers: backend + databases + cloud + CI/CD + projects + interview readiness. about 30% of candidates who join JOPP have already tried other bootcamps or online learning (Udemy, Coursera, university bootcamps) but did not get hired-because those paths often deliver training without delivering job conversion. Skills matter, but how you package and demonstrate them matters just as much. If you want to explore the program directly, here are the key links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: If you're ready to stop being "almost qualified" and start being the candidate employers trust, fill out the contact form and ask which JOPP path matches your salary and role goals. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT

Florida's Largest Affordable Behavioral Healthcare Organization! This Jobot Job is hosted by: David Hyon Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $30 - $35 per hour A bit about us: Stable nonprofit organization serving the Central Florida area. Why join us? Strong funding and stable organization Great mission! Personal Growth and Community Engagement Work Life Balance Job Details Responsibilities: As a Business Intelligence Developer, you will be tasked with the following: 1. Designing, developing, and deploying business intelligence solutions such as reports, dashboards, and other data visualization tools. 2. Collaborating with cross-functional teams to gather and document BI requirements. 3. Interpreting business needs and translating them into technical requirements. 4. Developing complex SQL queries and scripts for data extraction. 5. Utilizing SSIS for ETL processes. 6. Ensuring data accuracy and integrity in the BI solutions. 7. Providing technical support and troubleshooting for BI tools and systems. 8. Creating and maintaining technical documentation. 9. Conducting regular system tests and implementing security measures to safeguard data. 10. Keeping up-to-date with the latest industry trends and suggesting new methods to improve data analysis and reporting. Qualifications: To be successful in this role, you should have the following qualifications: 1. A Bachelor's degree in Computer Science, Information Technology, or a related field. 2. At least 2 years of experience as a Business Intelligence Developer, Data Scientist, or similar role in the Accounting and Finance industry. 3. Proficiency in Power BI, ColdFusion, JavaScript, HTML, SQL, and SSIS. 4. Strong knowledge of data warehousing, data modeling, and ETL processes. 5. Excellent problem-solving skills and attention to detail. 6. Strong communication skills to convey technical concepts to non-technical stakeholders. 7. Ability to work independently and collaboratively in a team environment. 8. Knowledge of accounting and finance principles is a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Opportunity to join the industries top AI Consulting firm Working with the world's top brands to execute data initiatives in artificial intelligence FULLY REMOTE This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $185,000 per year A bit about us: We are seeking a dynamic and experienced Senior Machine Learning (ML) Solution Architect to join our team. This is a unique opportunity to shape the future of our ML applications and contribute to the development of our technology stack. The successful candidate will be responsible for designing, implementing, and maintaining ML solutions that will have a direct impact on our business and customers. This is a permanent position that offers a challenging and rewarding work environment, where innovation and initiative are highly valued. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design and build robust and scalable ML solutions to meet business requirements. Work closely with data scientists and engineers to implement and deploy scalable ML solutions into production. Develop and maintain data pipelines for large scale data processing. Use tools such as Spark, Snowflake, Python, and Scala to handle data extraction, cleaning, and transformation. Implement best practices for ML development, including testing, documentation, and version control. Collaborate with cross-functional teams to understand their needs and translate them into ML solutions. Provide consulting services to internal and external stakeholders on ML best practices and solutions. Use Terraform, Docker, and other tools to manage infrastructure and deploy ML models. Implement and manage CI/CD pipelines for ML solutions. Stay up-to-date with the latest developments in the field of ML and introduce new technologies and methodologies as appropriate. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Minimum 5 years of experience in designing and implementing ML solutions. Strong programming skills in Python and Scala. Experience with data pipeline tools such as Spark and Snowflake. Proven experience in consulting, with excellent communication and problem-solving skills. Experience with infrastructure management tools such as Terraform and Docker. Experience in setting up and managing CI/CD pipelines. Strong understanding of ML algorithms and principles, as well as the ability to apply them in real-world situations. Excellent analytical and problem-solving skills, with the ability to handle complex data and ML challenges. Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders. Self-motivated and proactive, with the ability to work independently and as part of a team. Strong desire to learn and stay updated with the latest advancements in the field of ML. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

RAG - Vector Databases - Cloud - AI/ML This Jobot Job is hosted by: Chuck Wirtz Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $175,000 - $200,000 per year A bit about us: We are a rapidly-growing and well-funded women-lead AI start-up that innovates our client's projects from concept to delivery. Why join us? We work with highly recognizable enterprise clients to deliver a fully customized solution. Our technology solution is best-in-class and proven. This is a fully remote role. Report directly to the VP of Tech & work directly with the Founders. Start-up experience is ideal. Base + bonus + equity. Job Details This is not a Data Scientist role - This is an experienced, AI-focused Software Engineer role. Python API Agentic/Orchestration Frameworks: Langchan - Langgraph - Autogen - Semantic Kernel - Lamaindex RAG ML AI Vector Databases: Pinecone - Weaviate - Chroma AWS - GCP - Azure Domain-driven design and microservices architecture TensorFlow - PyTorch Inheritance - Polymorphism - Design Patterns No C2C or Sponsorship Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

RAG - Vector Databases - Cloud - AI/ML This Jobot Job is hosted by: Chuck Wirtz Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $175,000 - $200,000 per year A bit about us: We are a rapidly-growing and well-funded women-lead AI start-up that innovates our client's projects from concept to delivery. Why join us? We work with highly recognizable enterprise clients to deliver a fully customized solution. Our technology solution is best-in-class and proven. This is a fully remote role. Report directly to the VP of Tech & work directly with the Founders. Start-up experience is ideal. Base + bonus + equity. Job Details This is not a Data Scientist role - This is an experienced, AI-focused Software Engineer role. Python API Agentic/Orchestration Frameworks: Langchan - Langgraph - Autogen - Semantic Kernel - Lamaindex RAG ML AI Vector Databases: Pinecone - Weaviate - Chroma AWS - GCP - Azure Domain-driven design and microservices architecture TensorFlow - PyTorch Inheritance - Polymorphism - Design Patterns No C2C or Sponsorship Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

RAG - Vector Databases - Cloud - AI/ML This Jobot Job is hosted by: Chuck Wirtz Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $175,000 - $200,000 per year A bit about us: We are a rapidly-growing and well-funded women-lead AI start-up that innovates our client's projects from concept to delivery. Why join us? We work with highly recognizable enterprise clients to deliver a fully customized solution. Our technology solution is best-in-class and proven. This is a fully remote role. Report directly to the VP of Tech & work directly with the Founders. Start-up experience is ideal. Base + bonus + equity. Job Details This is not a Data Scientist role - This is an experienced, AI-focused Software Engineer role. Python API Agentic/Orchestration Frameworks: Langchan - Langgraph - Autogen - Semantic Kernel - Lamaindex RAG ML AI Vector Databases: Pinecone - Weaviate - Chroma AWS - GCP - Azure Domain-driven design and microservices architecture TensorFlow - PyTorch Inheritance - Polymorphism - Design Patterns No C2C or Sponsorship Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Opportunity to join the industries top AI Consulting firm Working with the world's top brands to execute data initiatives in artificial intelligence FULLY REMOTE This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $185,000 per year A bit about us: We are seeking a dynamic and experienced Senior Machine Learning (ML) Solution Architect to join our team. This is a unique opportunity to shape the future of our ML applications and contribute to the development of our technology stack. The successful candidate will be responsible for designing, implementing, and maintaining ML solutions that will have a direct impact on our business and customers. This is a permanent position that offers a challenging and rewarding work environment, where innovation and initiative are highly valued. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design and build robust and scalable ML solutions to meet business requirements. Work closely with data scientists and engineers to implement and deploy scalable ML solutions into production. Develop and maintain data pipelines for large scale data processing. Use tools such as Spark, Snowflake, Python, and Scala to handle data extraction, cleaning, and transformation. Implement best practices for ML development, including testing, documentation, and version control. Collaborate with cross-functional teams to understand their needs and translate them into ML solutions. Provide consulting services to internal and external stakeholders on ML best practices and solutions. Use Terraform, Docker, and other tools to manage infrastructure and deploy ML models. Implement and manage CI/CD pipelines for ML solutions. Stay up-to-date with the latest developments in the field of ML and introduce new technologies and methodologies as appropriate. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Minimum 5 years of experience in designing and implementing ML solutions. Strong programming skills in Python and Scala. Experience with data pipeline tools such as Spark and Snowflake. Proven experience in consulting, with excellent communication and problem-solving skills. Experience with infrastructure management tools such as Terraform and Docker. Experience in setting up and managing CI/CD pipelines. Strong understanding of ML algorithms and principles, as well as the ability to apply them in real-world situations. Excellent analytical and problem-solving skills, with the ability to handle complex data and ML challenges. Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders. Self-motivated and proactive, with the ability to work independently and as part of a team. Strong desire to learn and stay updated with the latest advancements in the field of ML. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Florida's Largest Affordable Behavioral Healthcare Organization! This Jobot Job is hosted by: David Hyon Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $30 - $35 per hour A bit about us: Stable nonprofit organization serving the Central Florida area. Why join us? Strong funding and stable organization Great mission! Personal Growth and Community Engagement Work Life Balance Job Details Responsibilities: As a Business Intelligence Developer, you will be tasked with the following: 1. Designing, developing, and deploying business intelligence solutions such as reports, dashboards, and other data visualization tools. 2. Collaborating with cross-functional teams to gather and document BI requirements. 3. Interpreting business needs and translating them into technical requirements. 4. Developing complex SQL queries and scripts for data extraction. 5. Utilizing SSIS for ETL processes. 6. Ensuring data accuracy and integrity in the BI solutions. 7. Providing technical support and troubleshooting for BI tools and systems. 8. Creating and maintaining technical documentation. 9. Conducting regular system tests and implementing security measures to safeguard data. 10. Keeping up-to-date with the latest industry trends and suggesting new methods to improve data analysis and reporting. Qualifications: To be successful in this role, you should have the following qualifications: 1. A Bachelor's degree in Computer Science, Information Technology, or a related field. 2. At least 2 years of experience as a Business Intelligence Developer, Data Scientist, or similar role in the Accounting and Finance industry. 3. Proficiency in Power BI, ColdFusion, JavaScript, HTML, SQL, and SSIS. 4. Strong knowledge of data warehousing, data modeling, and ETL processes. 5. Excellent problem-solving skills and attention to detail. 6. Strong communication skills to convey technical concepts to non-technical stakeholders. 7. Ability to work independently and collaboratively in a team environment. 8. Knowledge of accounting and finance principles is a plus. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

500+ Leetcode Problems! -Still No Offers? Let's Get You Hired with a plan which actually works. You've done a ton of Leetcode. You've racked up certificates, aced LeetCode challenges, and you know your way around system design like the back of your hand. On paper, you're everything a tech company wants. However tech stacks and requirement change every day. Also, tech clients want in depth Tech stack knowledge and the school projects don't make the cut. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit's JOPP focuses on closing the gap between your tech skills and what employers want now. Open Roles We're Hiring For our clients: Entry-Level Software Programmers (Java/Python) Java Full Stack Developers Data Analysts & BI Engineers Data Scientists & ML Engineers All visa types and U.S. citizens are encouraged to apply. Check the links below: Please check the below links: Job Placement Program (JOPP): Java Job Placement Program Data Science / Data Jobs Program Event videos (OCW, JavaOne, Gartner): USA Today feature Contact: We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Candidates on F1/OPT needing a job for STEM extension or H-1B filing Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. Top tech companies are flooded with smart grads. What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room-or a Zoom. That's what we teach. please check the below links Why do Tech Companies not Hire recent Computer Science Graduates SynergisticIT Technical Skills or Experience? Which one is important to get a Job? SynergisticIT Backend vs. Full Stack Development: Job Prospects SynergisticIT What Recruiters Look for in Junior Developers SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs - SynergisticIT The Market's Changed-Have You?

Digital Library Product and Service Manager University Libraries, Stanford, California, United States New Information Technology Services 4 hours ago Post Date 108045 Requisition # The Libraries values are rooted in a commitment of mutual respect, the idea that every member of the staff has something to contribute, and that learning is constant.We seek a team member who is ready to share their skills and perspectives.This position is dual posted at level 2 and 3. This position is suited to candidates who thrive on supporting others to achieve their goals, who embrace curiosity and exploration with technology, and enjoy working in a dynamic and highly collaborative environment. An ideal candidate will bring experience with digital librarianship, familiarity with research practice, understanding of the open source ethos and the software development lifecycle, knowledge of the digital library discovery landscape, and capacity for hands-on technical analysis and management of digital content. About Stanford Libraries: Stanford Libraries has a network of over 15 libraries with over 400 employees. We are committed to fueling the teaching, learning and research across Stanford by acquiring, stewarding, and making available a robust collection, currently in excess of 12 million items. Everyone in the organization plays a vital role in fulfilling that objective. Our dedication to discoverability and information management also has us engaged in dynamic global partnerships. We are constantly building and strengthening our organization, and we recognize striving for excellence is a marathon and not a sprint. We are constantly trying to strike the right pace and admit there are times when we find ourselves at a fast jog. While we hope to always find candidates who fit within our organization, what we truly seek is someone who will add to our culture, our profession as well as the greater academic arena. We are invested in the success of our teams and the individuals who represent Stanford Libraries. About the Position: The Digital Library Product and Service Manager (DLPSM) will report to the Associate Director for Digital Library Services in the Digital Library Systems and Services (DLSS) division of the Libraries. The division is based on the historic campus of Stanford University in Stanford, California. The position is eligible for remote work. The Digital Library Product and Service Manager will join a high performing team including digital library service managers, product owners, systems analysts, data scientists, and project managers in DLSS, the department within Stanford University Libraries (SUL) responsible for the development, promotion, delivery, and continual improvement of digital library services for the Stanford community and the research community more broadly. The role's primary responsibility is to manage and advance two established programs at Stanford University Libraries: Spotlight Exhibits and Virtual Tribunals. The DLPSM will serve as the product and service manager for Spotlight Exhibits, SUL's online platform for showcasing digital library collections. They will work closely with software development teams at SUL and in the Spotlight open source community to routinely maintain and enhance its features and capabilities over time as digital content, user needs and online technologies evolve. They will directly support SUL collection managers, library curators and their partners in their adoption and ongoing use of Spotlight to promote discovery and use of Stanford's extensive collections. They will lead a service team to promote collaborative, participatory service development with library colleagues. They will also support faculty and researchers at Stanford who aim to showcase their work through teaching and broader online dissemination to reach global audiences. Further they will actively be involved and engage with fellow digital library staff in ongoing efforts to explore and re-imagine the future of digital library collection discovery and access. The DLPSM will also serve as the product and service manager for Virtual Tribunals (VT), a collaboration between SUL and the Stanford CHRIJ to compile a comprehensive, searchable digital archive database of international criminal law and tribunal records, from post-World War II war crimes trials through to contemporary courts. Alongside content contributors, subject matter experts, data scientists, engineers and archivists, the DLPSM manages and executes discrete digital collections projects, scoping timelines and resource requirements, engaging with digitization and metadata vendors, developing project plans, specifying and reviewing work packages, tracking progress and communicating outcomes. The size and nature of the VT collection which is made available via Stanford's Spotlight has grown significantly in the past five years; this role is positioned to build on recent successes to continue to heighten VT's international visibility, to develop new partnerships and attract funding, and to advance the usability of the database through the introduction of new technologies. Beyond these two primary focus areas, they will contribute to organizational portfolio analysis, continually helping to surface, assess, understand, and communicate the business needs of the library's evolving digital programs and initiatives. They will work with their teammates and DLSS leadership to inform prioritization and decision making where the outcomes impact or depend on the services and resources of DLSS and adjacent units. And they will contribute to team efforts to ensure our systems and services support the organization's mission and values while promoting a culture of collaboration, peer support and professional development. CORE DUTIES Gather and document functional and business requirements for complex services. Analyze new business requirements, assist with feasibility of enhancement requests, system functionality, current system use and user needs. Specify functional analysis and design and work with developers and analysts to recommend solutions and resolve system and/or data issues. Perform testing of new systems, upgrades and patching of existing systems; plan, conduct and document results of testing. Review, research and evaluate software to determine its usefulness and appropriateness as related to existing or proposed business systems; assist or develop preliminary and detailed system design documentation. Advise users requiring assistance in solving complex problems or issues regarding business systems. Analyze data and provide data sets to users for analysis. May include development of operational and analytical reports for end users. Develop and execute user support plans and processes. Develop and deliver training materials. Serve as service manager, managing day-to-day activities associated with the lifecycle of the service. Serve as product owner on work cycles. May also serve as project lead on several concurrent projects. Conduct and synthesize research to inform decision making and planning. Make recommendations. Liaise with external vendors or partners in support of a business system, which may include coordination of system development or integration, implementation and/or operations. - Other duties may also be assigned. MINIMUM REQUIREMENTS: Education & Experience: IT Business Analyst 2: Bachelors + 5 years experience or a combination of education and relevant experience. IT Business Analyst 3: Bachelors + 8 years experience or a combination of education and relevant experience. Knowledge, Skills and Abilities: Knowledge of computer system capabilities, business processes, and workflow. Experience with enterprise applications and understanding of database and index driven applications. Strong understanding of the software development life cycle. Current knowledge of changes and advances in computer and data technology. Skill in conducting interviews and facilitating group meetings. Skill in developing and conducting training programs. Excellent communication skills, both written and verbal, including the ability to bridge functional and technical resources by communicating effectively with individuals of varying systems expertise and business needs. Strong listening, negotiation, and conflict resolution skills. Ability to develop and execute system test plans. Ability to document business systems. Proven problem solving and analytical thinking and ability to approach problems logically and systematically. Strong project management skills, interpersonal skills, and customer service orientation Capabilities in the following: data mapping, conversion, table structure knowledge, documentation skills, test scripts development, functional analysis, coordination of user acceptance and sign-off, fit/gap analysis, requirements documentation and process flow charting. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, use a telephone. Rarely writing by hand, lift/carry/push/pull objects that weigh up to 10 pounds. - Consistent with its obligations under the law . click apply for full job details

Job ID: 695377BR Date posted: Jan. 13, 2026 Description: Who We Are: Lockheed Martin RMS provides mission software for the United States Strategic Command (USSTRATCOM) Nuclear Deterrence Mission. Our amazing men and women are on a mission to make a difference in the world and keep our nation safe. We use our unique skills and experiences every day to create, design and build solutions to some of the world's hardest engineering problems. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers, AI Engineers, and Data Scientists executing engineering best practices, full-stack design patterns, and secure software and AI techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include development, design, and technical leadership for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Software Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers executing web development best practices, full-stack design patterns, and secure software techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Basic Qualifications: • Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 9 years of professional experience; or 7 years of professional experience with a related Masters degree. Considered an emerging authority. • Must be a US Citizen; this position will require a government security clearance. This position is located at a facility that requires special access • Experience with AI/ML: disciplines, domain programming languages (including Python), models, frameworks, and toolsets. • Experience analyzing domain problems and selecting and designing AI solutions. Desired Skills: • DevOps experience including CI/CD pipelines to build, test, deploy. • Experience with training deep neural networks and other AI algorithms • Experience with Java and JavaScript • Familiarity with high-performance computing • Familiarity interfacing with databases (Oracle, MongoDB) Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Artificial Intelligence Type: Full-Time Shift: First

Job Duties: Design and build a data warehouse using computingbased data cloud (Snowflake) for machine learning, data analysis, self-serve analytics and reporting needs. Develop Extract, Transform, Load (ETL) pipelines to orchestrate execution of scripts, automate data transformation and loading data into data warehouses. Perform data cleansing, validation, testing and schema design to ensure accuracy and reliability of data insights. Manage and build automated workflows and monitor these pipelines and DAGs (Directed Acyclic Graphs). Identify and work on improvements by automating manual processes to optimize data delivery, re-design infrastructure for more scalability using python & sql. Collaborate with cross-functional teams including data engineers, analysts and data scientists to understand the business logic and needs to create an effective and efficient pipeline and data model. Create ad-hoc report/data visualizations based on user requirements. Participate in ETL flow design reviews and recommend solutions to improve processes. Perform data quality checks and alerting to identify issues and resolve bugs in a timely manner. Participate in source code and design reviews in a software development lifecycle (SDLC) driven environment using technical, functional, and domain knowledge. Identify issues or gaps and suggest improvements to the team processes. Provide support for customer requests for all the products handled by the team. Full-time telecommuting is an option. Minimum Requirements: Masters degree (or its foreign degree equivalent) in Analytics, Data Science, Engineering (any field), or a related quantitative discipline, and six (6) months of experience in the job offered or in any occupation in related field. Special Skill Requirements: 1. Data warehouse design and dimensional modeling 2. Extract, Transform, Load (ETL) 3. SQL 4. Python 5. Data Visualization (Tableau or Power BI) 6. Gitlab 7. Azure 8. PySpark 9. OLAP and OLTP system experience (MySQL Database, Postgres DB, or Snowflake) 10. Machine Learning 11. Data Pipeline - Performance & Scalability Techniques. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option. Salary: $177,813.00 - $195,594.00 per annum. Submit resume with references to: Req.# 53.2 at: ATTN: HR,

Description The School of Data Science at the University of Virginia (UVA) is assembling a world-class faculty with broad expertise in data science to foster and advance our research agenda and educational programs. We seek candidates for the Quantitative Foundation professorship in data science, at the rank of tenured associate professor or distinguished full professor . Ideal candidates will have demonstrated internationally recognized achievement in data science and made fundamental contributions to the discipline. The endowed positions are made possible by a generous gift from the Quantitative Foundation to establish the School of Data Science. Candidates for endowed faculty positions (associate and full professor with tenure) must demonstrate a record of excellence in research, teaching, and advising, in data science and/or closely related fields, and must have established a national/international reputation for contribution to the field in methodology, application, and impact. Quantitative Foundation endowed faculty are expected to maintain internationally recognized research programs, successfully compete for external research funding, instruct classes (in-person and online), and advise and mentor undergraduate and graduate students. They are expected to elevate the school's reputation as an internationally recognized leader in data science. Enthusiasm for growing and educating the next generation of data scientists, both at the undergraduate and graduate level, is highly desirable. Faculty will have a unique opportunity to shape the culture and direction of both a new discipline and a new school.Qualifiations Candidates must have earned a PhD in Data Science or a related field (e.g., STEM, social science or humanities degree with a data science focus). Appointments are made in the School of Data Science with the potential for joint or courtesy appointments in other schools as applicable. Candidates with backgrounds and experiences that are underrepresented in data science are especially encouraged to apply. A commitment to advancing the University's mission is essential for all candidates ( ). Rank will be commensurate with academic and industry experience. Appointments will be available on 9-month contracts.Application Instructions Complete an online application and include the following. A current Curriculum Vitae or Resume. A Cover Letter that addresses your experience and qualification for this position and your interest in data science. Please describe your past research endeavors and contributions as well as your future research goals (1-3 pages). A teaching statement that describes your teaching and mentoring experiences, and how they align with the UVA's mission statement ( ). This statement should focus on your past or planned educational activities and how you see data science education evolving over the next decade (1-3 pages). Three reference letters. If available, reviews & course evaluations from up to 3 educational courses, seminars, and/or short courses. Review of applicants will begin on or around November 22, 2025 and the positions will remain open until filled. For questions about the application process please contact Jennifer Kirkham, Manager for Faculty Affairs at the School of Data Science, at .

Research Software EngineerData Scientist (6104C) - 81524 About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley. Departmental Overview The problems facing our environment are becoming increasingly complex and they are outpacing efforts to address them. This includes challenges ranging from climate change, to the global extinction crisis, to issues associated with environmental justice. We must act both smarter and faster to head off severe consequences for people and the planet. Data Science approaches offer a transformative opportunity to increase both the rate and impact of environmental problem-solving. Launched in 2022, the Eric and Wendy Schmidt Center for Data Science and Environment (DSE) at Berkeley ( ) is a partnership between UC Berkeley's Department of Environmental Science, Policy, and Management and the Division of Computing, Data Science, and Society, with the financial support of Eric and Wendy Schmidt, working to take on these challenges. The Center aims to contribute to the global community who are similarly working to take on these challenges in four key areas: Generating ground-breaking computational/data science discoveries motivated by pressing environmental questions; Producing scalable solutions to critical threats facing the environment, powered by open-source tools; Deploying these solutions widely, taking advantage of modern cloud infrastructure and open data/open software, and maintaining a design philosophy of vendor neutrality to ensure that community needs are prioritized; Creating an enhanced pipeline of young environmental leaders connected to local communities and organizations to meet their needs and translate our research findings and technological developments into practical impacts. The success of this effort relies on people, our ability to build upon the success of others, and to make new contributions that allow others to build on what we create. The Schmidt Center for DSE is committed to diversity, equity, inclusion, and belonging. We aim to foster an environment that is safe and open to all work together with RCNR, CDSS, and Campus to continually learn and grow in our ability to do so. Position Summary At Data Science & Environment (DSE), our engineers play a critical role in developing and delivering all technical aspects of our project efforts. We are currently looking for a candidate with strong software development experience who can also understand and support the workflows and methodologies used in biodiversity data analysis and enhancing the accessibility of bioacoustics research methods. This work is in collaboration with our partners to advance the software of Soundhub (beta: ) - a platform to store, manage, and analyze bioacoustic data. This position will play a critical role in ensuring the performance, scalability, and reliability of the data infrastructure of Soundhub and related research workflows. You have a passion for using creative coding methods to help develop and implement workflows, visualizations, and other interactive data-enabled solutions. You're driven by a commitment to protecting the environment and wildlife, and you channel that passion into bringing people together to improve tools and advance training in bioacoustic methods. As an experienced data scientist/research software engineer, you are motivated to work across diverse disciplines, advance research, and collaborate with users to ensure that human-centered design informs every stage of software development. You will lead specific projects and also engage deeply with a collaborative technical team, and opportunities to contribute your expertise across multiple projects and program areas. For examples of our project areas, learn more about our current work at . Application Review Date The First Review Date for this job is 1/21/2026 Responsibilities Plans, designs, develops, modifies, debugs, deploys and evaluates data science / computational science research software technologies and visualizations. Ensures performance, scalability, and reliability of data infrastructure and software tools developed by the core technology team. Works closely with Program Manager, Senior Research Software Engineers, and domain scientists where applicable to perform these responsibilities and uses domain science knowledge where relevant. Analyzes existing software, scientific/data science code and interactive/static visualizations or works to formulate new logic for existing systems and algorithms. Contributes to research in biodiversity monitoring workflows, with an emphasis on improving accessibility of bioacoustics research methods. Works closely with Program Manager, Senior Research Software Engineers and the program team to develop data-enabled software solutions to a given environmental challenge. Understands and applies open research and development practices, community standards and department policies and procedures relating to work assignments. May serve as technical lead for a research and development project of moderate scope. Negotiate research and development project plans with interested collaborators, stakeholders and users as applicable. Contributes research and technical content to peer-reviewed publications and program outputs. Works both independently and in collaboration with the program team and stakeholders to design and implement technical solutions to environmental challenges. Works closely with the team Program Manager to prioritize work needs and opportunities to address given needs. Documents usage modes, capabilities, characteristics and performance of research codes/software/data visualizations. Publishes and presents, based on research and development work, results about data science techniques and tools, performance and algorithm enhancement in research venues to attract usage from domain science communities, or to promote latest technologies within the community. Leads collaborations with partners, researchers, and academic institutions to advance shared goals. Communicates technical program details effectively with a wide variety of audiences to ensure understanding and engagement with program stakeholders. Required Qualifications Intermediate knowledge of open data science/research software development Advanced skills, and demonstrated experience associated with deployment of data science applications, tools, and visualizations. Demonstrated ability to regularly interface with management. Demonstrated ability to contribute research and technical content to program outputs. Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences. Proven skills and experience in independently resolving broad computing/data problems using introductory and/or intermediate principles. Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines. Proven ability to successfully work on multiple concurrent projects. Proven ability to understand research computing/data needs, mapping use cases to requirements and how systems/software/infrastructure can support those needs and meet the requirements. Demonstrated ability to develop and implement such solutions. Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators. Bachelor's degree in related area and/or equivalent experience/training. Preferred Qualifications Experience or interest in contributing to the development of applications that analyze biodiversity data, including bioacoustic data. Experience with neural networks for classifications Experience or interest in ethical considerations of data science methodologies, including open practices and data sovereignty . click apply for full job details

Data Science Analyst 2 Job ID: 292361 Location: Augusta University Full/Part Time: Full Time Regular/Temporary: About Us Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values make Augusta University an institution like no other. Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state. The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at . Location Augusta University Our Health Sciences Campus: th Street, Augusta, GA 30912 Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904 College/Department Information The Medical College of Georgia (MCG) is one of the nation's largest medical schools by class size, with 304 students per class. The MCG educational experience is anchored by the main campus in Augusta, with regional clinical campuses for third- and fourth-year students across the state, and two four-year campuses located in Athens (in partnership with the University of Georgia) and in Savannah (in partnership with Georgia Southern University). MCG's expanding partnerships with physicians and hospitals across Georgia currently provide more than 350 sites where students can experience the full spectrum of medicine, from complex care hospitals to small-town solo practices. MCG and its teaching hospitals also provide postgraduate education to approximately 575 residents and fellows in 50 different Accreditation Council for Graduate Medical Education-approved programs. Our researchers and clinicians focus on what most impacts the health of Georgia's and America's children and adults, including cardiovascular biology and disease, cancer, neurosciences and behavioral sciences, public and preventive health, regenerative and reparative medicine, personalized medicine and genomics. Our physician faculty also share their expertise with physicians and patients at about 100 clinics and hospitals statewide. Job Summary The Department of AI & Health seeks an experienced Data Scientist 2 to join our research unit and provide technical leadership in advancing our computational health research capabilities. This mid-level position combines hands-on data science expertise with team leadership responsibilities, playing a pivotal role in establishing our department as a leader in AI-driven health research. You will lead complex research projects involving medical imaging, electronic health records, genomics, and real-time patient monitoring data while mentoring team members and contributing to our growing portfolio of high-impact research in predictive diagnostics, personalized medicine, and clinical decision support systems. Your leadership will directly enable grant acquisition, accelerate publication output in top-tier journals, attract doctoral students and postdoctoral fellows, and establish valuable partnerships with clinical departments and external collaborators seeking robust computational capabilities. Responsibilities The responsibilities include, but are not limited to: Application Development and System Design Utilizes a solid understanding of fundamental design concepts during all stages within the Software Development Life Cycle (SDLC). Shared responsibility with team lead for the Design stage within the SDLC. Shared responsibility with junior developers for the following stages within the SDLC: Construction, Testing, Debugging, and Deployment. Analyzes and identifies solution-wide testing requirements. Investigates systematic and operational issues and identifies potential solutions. Flexibility with both SysOps and DevOps opportunities. Leverages advanced knowledge of Microsoft, open-source, and web standard technologies such as ASP. NET Web Forms, ASP.NET MVC, C#, CSS, HTML, JavaScript, jQuery, and T-SQL to design and develop technical solutions to new and existing problems with varying scale and complexity utilizing fundamental design concepts and department standards to support work at the intersection of longitudinal machine learning, multi-modal analysis, clinical informatics, and population health. Application Implementation and Maintenance Develops and maintains applications and databases by working with the team lead in evaluating client needs, analyzing requirements, and developing software systems across multiple projects. Arranges project requirements in programming sequence by analyzing requirements. Prepares workflow documents using knowledge of client capabilities, subject matter, development technologies, and logic. Confirms program operation, integrity, consistency, and standards compliance with each platform necessitated by the client. Communication Identifies and transcribes client requirements and requests using interpersonal skills and ability to translate to all technical or non-technical audiences. Provides design and requirements for user guide documentation and validates its content. Oversight of customer service tasks such as user training, user queries, operational problems, and system problems. Enhance staff accomplishments and competence by planning delivery of solutions, answering technical and procedural questions, teaching improved processes, and conveying general accessibility. Supervision Serves as team lead to junior application developers. Required Qualifications Bachelor's degree from an accredited college or university in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field with three years related experience. Preferred Qualifications Prior involvement in healthcare, academic operations, or public sector analytics. Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS). Knowledge, Skills, & Abilities Ability to maintain confidentiality. Detail-oriented. Excellent interpersonal, verbal, and written communication skills. Proficient in Microsoft Office and other computer software/databases. Shift/Salary/Benefits Shift: Days/M-F (work outside of normal business hours will likely be required of an employee in an exempt level position) Pay Band: B11 Salary Range: $56,600/annually - $72,200/annually Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position. Recruitment Period: 11/21/25 - Until Filled Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees. Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays. Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today! Conditions of Employment All selected candidates are required to successfully pass a Background Check review prior to starting with Augusta University. If applicable for the specific position based on the duties: the candidate will also need to have a credit check completed for Positions of Trust and or approved departmental Purchase Card usage. Motor vehicle reports are required for positions that are required to drive an Augusta University vehicle. For Faculty Hires: Final candidates will be required to provide proof of completed academic degree(s) as well as post-secondary coursework in the form of original transcript(s). Those candidates trained by a foreign institution will also be required to provide an educational/credential evaluation. All employees are responsible for ensuring the confidentiality, availability, and integrity of sensitive patient, student, employee . click apply for full job details

Senior Data Scientist - Genetics University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist - Genetics Job Profile Title Job Description Summary The UPenn department of genetics is seeking a Senior Data Scientist for clinical genomic pipeline design and implementation. Job Description The successful candidate will be working with a broad team of quantitative analysts, including Statisticians, Data Scientists, Clinical and Basic trainees, and other bioinformaticians. Their role will involve developing and implementing new quantitative strategies to improve our understanding and ability to diagnose genetic disorders through a large-scale genomic clinically grade testing. Senior Data Scientists are passionate about applying their knowledge of biology and of methods for molecular, cellular or radiologic data-analysis to uncover general principles of genetic disorders and use these to create clinically useful biomarkers. They will develop, extend and apply computational pipelines for data-analysis to patient cohorts ranging from tens of individuals to hundreds of thousands. These will be executed at scale via distributed software solutions on both local HPC and cloud-based assets. Our datasets comprise petabytes, and are growing rapidly, linked to key clinical endpoints. This requires a strong background in biology to help ensure the right questions are asked, but linked to strong technical and personal communication skills, to help ensure insights are broadly adopted and appropriate analyses are performed. You may work with molecular (WGS, panel-sequencing, RNA-Seq, proteomic) or imaging (digital pathology, radiomic) data, and practical experience in one of these two areas is essential. Beyond your strong inter-personal skills and computer science background, you will have experience with implementation skills at least one of R, Perl or Python. You will be comfortable in UNIX/Linux environments and producing well-documented code. Multi-year experience (>10years) with cloud-computing or HPC is essential. Master of Science and 1 to 2 years of experience, or an equivalent combination of education and experience required. Ph.D. preferred. This position is contingent upon grant funding. Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $100,000.00 - $160,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: Equal Employment Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law. To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-d179e9077aaade49a4a0c65b646e4d66

Senior Data Scientist, Wharton Graduate Division University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist, Wharton Graduate Division Job Profile Title Job Description Summary The Senior Data Scientist - Algorithmic Systems is a key member of the Data Science team supporting the full-time, Executive, and Global Wharton MBA programs. Reporting to the Director of Data Science, this role is instrumental in advancing analytics-driven solutions that enhance the student experience and improve office productivity. This position will lead the enhancement, maintenance, and expansion of Wharton's Course Match registration system-Wharton's MBA registration system that allocates course schedule. As a technically advanced implementation of modern mechanism design, Course Match is central to the MBA academic experience and requires continued refinement and innovation. The Senior Data Scientist will contribute directly to its algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development. The role demands expertise in mixed-integer programming (MIP), fluency in Python, and the ability to deliver clean, modular, and maintainable production code. The position also plays a strategic role in evaluating and integrating a new optimization engine into Course Match, collaborating with internal stakeholders such as the MBA Program Office, Wharton Computing, and the University Registrar, and engaging with external vendors to ensure system robustness, scalability, and alignment with institutional practices, policies, and priorities. Beyond Course Match, the Senior Data Scientist will contribute to a broader portfolio of academic affairs and data science initiatives, including AI integration, predictive modeling, statistical analysis, machine learning, and analytics infrastructure development. A major focus will be building reusable, scalable, and automated Python-based solutions that enable long-term innovation within the MBA Program Office and Wharton Computing. The ideal candidate brings a strong background in algorithmic systems and applied data science, with a demonstrated ability to manage complex technical projects from ideation through deployment. They will be adept at translating technical insights for diverse audiences, fostering cross-functional collaboration, and providing mentorship and thought leadership to colleagues. Outstanding communication skills and a highly collaborative mindset are essential. This role is a two-year appointment, with the potential for continuation. Job Description Duties Lead development and ownership of Course Match Serve as the primary developer and systems owner for Course Match registration system, including algorithm and infrastructure integration. Algorithmic and performance refinement Design and implement enhancements to Course Match's algorithmic infrastructure, including optimization tuning, performance analysis, heuristic development (e.g., Tabu Search), mixed-integer programming (MIP), and system diagnostics. Internal and external collaboration and system integration Partner with internal stakeholders and external vendors to support the integration of a new optimization engine. Participate in vendor evaluation, architecture planning, and system design discussions to ensure successful deployment and infrastructure integration. Data science project contributions beyond Course Match Contribute to high-impact academic affairs and data science initiatives beyond Course Match, including AI integration, process automation, and machine learning. Build robust Python-based solutions that promote reusability, automation, and scalability. Infrastructure development and automation Develop and maintain analytics infrastructure and automation pipelines to support data workflows across the MBA Program Office and Wharton Computing. Apply best practices in software development, testing, and version control. Qualifications Master's degree and 1-2 years of experience in a quantitative field such as Engineering, Data Science, Computer Science, Operations Research, Mathematics, or a related discipline is required; however, a Master's degree and at least 5 years of relevant experience is strongly preferred. Strong programming proficiency in Python is required, including experience developing modular, well-documented, and production-grade code. Familiarity with version control systems (e.g., Git) and test-driven development is strongly preferred. Demonstrated expertise in algorithmic systems or large-scale computational frameworks, with hands-on experience in one or more of the following: heuristic search methods (e.g., Tabu Search), combinatorial optimization, mixed-integer programming (MIP), or algorithmic market design. Experience working within multi-component software environments and integrating external libraries, APIs, or platforms. Familiarity with systems integration and data engineering practices is preferred. Experience supporting or participating in vendor evaluations or third-party system integrations is strongly preferred. Ability to engage with external vendors on technical system design, performance review, and implementation. Applied experience with core data science methods, including statistical modeling, predictive analytics, and machine learning. Proficiency with tools such as R, SQL, and Power BI is a plus. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $100,000.00 - $140,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired . click apply for full job details

Associate/Full Specialist - Forest Carbon MCECO - ESPM Ecosystem Sciences Division - Battles Lab Position overview Position title: Associate Specialist or Specialist Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table(s) for the current salary scale(s) for this position: . The current full-time base salary range for this position is $75,600-$154,200. "Off-scale" salaries, which yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions. Percent time: 50% Anticipated start: Fall/Winter 2025 Position duration: One year with the possibility of extension based on performance and availability of funding. Application Window Open date: October 24, 2025 Most recent review date: Saturday, Nov 8, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Sunday, Nov 23, 2025 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description The Forest Ecology Lab, under the guidance of Dr. John Battles (PI), with the Department of Environmental Science, Policy, & Management (ESPM) within the Rausser College of Natural Resources (RCNR) at the University of California, Berkeley, is seeking highly motivated individuals to apply for the position of Associate or Full Specialist. The Forest Ecology Lab is a group of scholars who share an interest in understanding forest ecosystems in terms of their ecology, management, and policy. Robust, quantitative analysis of forest and fuel inventory data form the core of our approach. Specifically, we want to know how and why forests change. Answering these questions is more than just an interesting academic puzzle. We expand the scope of our field-based insights by collaborating with a diverse group of ecosystem scientists, remote sensing experts, and data scientists to develop scientifically robust and management relevant information. Specifically, we work with scientists, managers and policy makers in California to develop the best available information to improve the health of our forests, to reduce their vulnerability to high severity wildfire, and to ensure they continue to serve as cost-effective natural climate solutions. A long-term, focal area for the Lab is understanding the carbon dynamics of forests in the era of global change. Given the increasing pace of unexpected and novel conditions, it has become more important than ever to measure changes in forest composition, structure, and function with high spatial and temporal fidelity. Moreover, we need to track trends across the vast and diverse forest landscape of California. The Forest Inventory and Analysis (FIA) program delivers current, consistent, and credible information about the status of forests and forest resources within the United States. In California, FIA repeats its inventory every ten years. Recently, the California Department of Forestry and Fire Protection (CalFire) has intensified the FIA cycle in California to every five years. The goal of this temporal intensification is to provide more frequent and more informative assessments on the status of CA forests. The Forest Ecology Lab, as part of Berkeley Forests, is collaborating with CalFire to make full use of the intensified FIA forest inventories to measure and understand trends in carbon flux and storage in California's forests. Specific objectives include: 1) Review and revise the current forest ecosystem carbon accounting framework used by CalFire. 2) Develop statistically sound analytics that take advantage of the time-intensified FIA data to improve forest carbon accounting in CA. 3) Develop analytical workflows using open-source statistical computing platforms. 4) Provide fully reproducible analytics and thoroughly documented code. The duties of the position include: In consultation with the PI and Co-Investigators, develop robust data analysis plans that leverage the temporally intensified FIA inventories using appropriate statistical methods. Evaluate empirical results in terms of their ability to produce management-relevant information at the appropriate spatial and temporal scale. Interpret and communicate applied research insights in peer-reviewed manuscripts, reports, and outreach material Build open-science workflows that can be shared among collaborators. Conduct all research and analyses following best practices in reproducible science. Communicate technical program details effectively to a diverse group of fire scientists, resource managers, and forest ecologists to ensure understanding and engagement with domain experts. Contribute expertise to the environmental data science workgroup at UC Berkeley The candidate must be eligible to work in the United States. The department is unable to sponsor a visa/work permit. Contract: Qualifications Basic qualifications (required at time of application) Bachelor's Degree or equivalent international degree Additional qualifications (required at time of start) Bachelor's degree or equivalent international degree plus 5 years of research experience or Master's degree or equivalent international degree plus 3 years of research experience. Preferred qualifications A master's degree or equivalent international degree in a relevant discipline (e.g., fire science, forestry, ecology, natural resource management, data science, statistics). Five or more years of experience in a relevant domain expertise (e.g., forest biometry, forest science, natural resource assessment). Experience with open-source programming languages and software used in environmental data science with a preference for R. Proficiency with standard methods of tracking, sharing, and updating code and methodology such as GitHub. Experience working with databases of national forest inventories (e.g., FIA) or other large data sets that involve forest inventory data. Demonstrated capacity to publish peer-reviewed articles or non-peer reviewed reports with strong dependency on monitoring data. Application Requirements Document requirements Curriculum Vitae - Your most recently updated C.V. Cover Letter Reference requirements 3 required (contact information only) Apply link: Help contact: About UC Berkeley UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy ( APM 210 1-d ). These values are embedded in our Principles of Community , which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive. The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy . In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer. UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy APM - 035: Affirmative Action and Nondiscrimination in Employment Job location Berkeley, CA To apply, visit Copyright 2025 Inc . click apply for full job details

Data Engineer, Penn Wharton Budget Model University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Engineer, Penn Wharton Budget Model Job Profile Title Application Developer Senior Job Description Summary Wharton School Overview Founded in 1881 as the world's first collegiate business school, the Wharton School of the University of Pennsylvania is shaping the future of business by incubating ideas, driving insights, and creating leaders who change the world. With campuses in both Philadelphia and San Francisco, Wharton has over 850 staff, a faculty population of more than 235 renowned professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 professionals from around the world advance their careers through Wharton Executive Education's individual, company-customized, and online programs. More than 104,000 Wharton alumni form a powerful global network of leaders who transform business every day. Wharton is home to a dynamic community of staff, bringing a wide range of skills, experiences, and perspectives. To learn more, visit . The Penn Wharton Budget Model (PWBM) is a non-partisan, research-based initiative that provides analysis to policymakers to assess the effects of policy on budgetary outcomes (government revenues and costs) and various economic variables. PWBM's work is widely cited and has been influential in many key recent policy discussions, including tax reform, budget reconciliation, immigration, Social Security, health care, infrastructure, pre-K education, paid family leave, universal income, and the federal debt. The PWBM team consists of roughly 30 Ph.D. economists, policy analysts, research analysts, software engineers, and developers. PWBM has a unique model - even relative to other scoring entities - that relies on a workflow between data processing, microsimulation (which utilizes large-scale Monte Carlo simulations), dozens of policy modules (including several tax calculators), and a large-scale stochastic macroeconomic overlapping generations (OLG) lifecycle model. An extensive code base, mostly in Python, underlies this workflow, and the model utilizes cutting-edge economic modeling, data science, machine learning, and cloud computing to project policy impacts. The models are frequently updated to reflect the latest economics and empirical research, and many of them require (large) datasets to calibrate them. PWBM is currently building a model automation pipeline to automate the forecasting process. The Data Engineer will be a member of the software engineering team and work closely with PWBM domain experts - economists, policy analysts, and research analysts - responsible for building and calibrating models using large, publicly and privately available datasets. The Data Engineer will design, build, and maintain the data infrastructure with the software engineering team; establish best practices for data ingestion and storage; and coach domain experts to write maintainable extract-transform-load (ETL) code. The Data Engineer will also contribute their expertise and insights to the model automation project to help make the automation pipeline robust to data changes. Position contingent upon funding. Job Description Job Responsibilities The data engineer will work with the software engineering team to design, build, and maintain data infrastructure that houses data obtained from external sources and PWBM model output and enables PWBM and external collaborators easy access to information that is versioned, accurate, and consistent. Establish best practices for data ingestion, storage, and retrieval. Work with PWBM domain experts to implement best practices in extract-transform-load (ETL) code, including producing readable, modular, and testable code. Help the Director of Engineering and Data and domain experts plan future infrastructure development. Mentor junior engineers, research analysts, and graduate students. Perform additional duties as assigned Qualifications Required Skills/Experience: A bachelor's degree in a relevant field, such as computer science, software engineering, statistics, mathematics, or engineering; and 3-5 years of experience; or equivalent. More than 2 years of post-degree experience as a data engineer in a team setting, and familiarity with current cloud data storage options, data modeling, data extraction (e.g., web scraping or using web APIs), automation (e.g., pipelining), and alerting/monitoring with process insights in mind. Demonstrated ability to write readable, modular, and testable code. Experience with modern software engineering best practices (e.g. automated testing, pair programming, and continuous integration). Solid ability to understand mathematical and statistical models. Strong written and verbal communication skills and the ability to collaborate successfully with teammates who have diverse technical backgrounds. The data engineer will work with individuals across a range of technical experience levels, so the candidate should be able to distill their thoughts into non-technical terms. Experience working with LLM-based coding tools. Experience with data frame packages/libraries in any programming language. Solid ability to identify requirements from discussions with domain experts and parse them into smaller stories/tasks. Preferred Skills: Knowledge of Python and pandas. Experience working with survey data or other microdata. Familiarity with major economic and demographic data sources (e.g. Census Bureau, Bureau of Labor Statistics, and Bureau of Economic Analysis). Experience working with data scientists or economists. Formal training in economics, public policy, or in quantitative disciplines such as statistics, engineering, and mathematics. Additional Information Staff positions at the Penn Wharton Budget Model are funded by external gifts and grants. This position is contingent upon both the continued availability of funding sources and the ongoing need for the role. It is an initial two-year term position, with potential renewal at the discretion of the faculty director. The position may be discontinued if funding sources are no longer available, if suitable replacement funding sources are not identified, or if the need for the position ceases to exist. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $83,500.00 - $130,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: . click apply for full job details

Description The Department of Public Health Sciences (PHS) , School of Medicine, at the University of Virginia (UVA) and UVA Comprehensive Cancer Center (UVACC) invites talented researchers to join an exemplary team of investigators to advance precision health strategies directed to cancer prevention and control and reducing cancer disparities. Applicants are sought at the rank of Assistant, Associate or Full Professor with a terminal degree (e.g., PhD, MD, ScD) to apply for tenure-track/eligible faculty positions supported under a newly announced Precision Health initiative. The University of Virginia's 2030 plan recognizes Precision Health as a major societal challenge and an opportunity for multidisciplinary work that draws on our existing strengths . In partnership the Provost and the deans of various schools are making multiple coordinated faculty recruitments to strengthen the research community focusing on Precision Health for Populations across the University. Recruits will receive support from the Provost and from their school and will participate in the Precision Health for Populations Initiative. This is part of a major Grand Challenges research investment of over $50M in Precision Medicine/Precision Health.Cancer Data Scientist (Open rank). We are seeking exceptional candidates trained in cancer epidemiology and/or data sciences to envision, plan and conduct innovative research to advance the science of personalized cancer prevention and risk prediction to discover and advance optimal strategies or approaches to prevent cancer incidence and/or recurrence. The driving goals of this UVA sponsored Precision Health Initiative are to broaden our ability to effectively prevent, diagnose, and /or delay cancer processes in diverse populations. As such, we envision this scope of work to involve individual, social, clinical and community-level factors. Faculty hired under this initiative will have a primary appointment in PHS and membership in the UVACC's Cancer Prevention and Population Health research program. The successful faculty candidate will be supported to develop world-leading independent scientific programs to advance our understanding of cancer prevention and conduct next generation translational research driven by data science, artificial intelligence, machine learning, computer science, and other emerging areas in cancer research. Applicants must have evidence of peer-reviewed funded research in areas such as cancer etiology, outcomes, biomarkers, screening, early detection, or therapeutics. UVACC priority cancers include lung, breast, GI, prostate, cervical or melanoma based on disparity and population burden within our catchment area.Qualifiations Qualified candidates must have Ph.D. or terminal degree with at least three years of experience. Application Instructions This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. To Apply:Complete an application online with the following documents: CV Cover Letter - please include how you learned about this position Contact information for at least 3 references Applications that do not contain all required documents will not receive full consideration. For questions about the application process, please contact Roger Anderson at .

ML Data Engineer - Healthcare Data Curation & Cleaning (1 Year Fixed Term) School of Medicine, Stanford, California, United States Information Analytics Jun 03, 2025 Post Date 106579 Requisition University is seeking a Big Data Architect 1 for a 1 year fixed term (possibility of renewal) to design and develop applications, test and build automation tools and support the development of Big Data architecture and analytical solutions. About Us: The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire medical spectrum, including molecular, tissue, medical imaging, EHR, biosensory and population data. About the Position: We are seeking an experienced ML Data Engineer to drive the programmatic curation, cleaning, and generation of healthcare data. In this role, you will focus exclusively on developing and maintaining automated, ML-accelerated pipelines that ensure high-quality data ready for machine learning applications. Your work will be pivotal in shaping the integrity of our data and supporting downstream predictive models in a complex healthcare environment. You Will Find This Position a Good Fit If: You are passionate about transforming raw healthcare data into valuable insights. You believe in the critical role of robust data curation in advancing machine learning in healthcare. You thrive in environments where you can work independently on complex data challenges while collaborating with multidisciplinary teams. You are excited to work with patient-level data and embrace challenges related to data diversity and complexity. Duties include: Design Big Data systems that are scalable, optimized and fault-tolerant. Work closely with scientific staff, IT professional and project managers to understand their data requirements for existing and future projects involving Big Data. Develop, test, implement, and maintain database management applications. Optimize and tune the system, perform software review and maintenance to ensure that data design elements are reusable, repeatable and robust. Contribute to the development of guidelines, standards, and processes to ensure data quality, integrity and security of systems and data appropriate to risk. Participate in and/or contribute to setting strategy and standards through data architecture and implementation, leveraging Big Data, analytics tools and technologies. Work with IT and data owners to understand the types of data collected in various databases and data warehouses. Research and suggest new toolsets/methods to improve data ingestion, storage, and data access. Key Responsibilities: Data Pipeline Engineering: Design, implement, and maintain robust pipelines for the programmatic cleaning, transformation, and curation of healthcare data. Develop automated processes to curate and validate data, ensuring accuracy and compliance with healthcare standards (e.g. OMOP CDM, FHIR). ML Data Engineering: Leverage core machine learning techniques to generate datasets, clean existing health records, join heterogeneous data sources, and enhance data quality for model training. Implement innovative solutions to detect and correct data inconsistencies and anomalies in large-scale healthcare datasets. Healthcare Data Expertise: Work extensively with patient-level health data, ensuring that data handling practices adhere to industry regulations and ethical standards. Utilize the OMOP Common Data Model (OMOP CDM) to standardize and harmonize disparate healthcare data sources, enhancing interoperability and scalability. Collaboration & Continuous Improvement: Collaborate closely with data scientists, clinical informaticians, and engineers to align data engineering practices with analytical and clinical requirements. Continuously monitor, troubleshoot, and optimize data workflows to support dynamic research and operational needs. The expected pay range for this position is $157,945 to $177,385 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. DESIRED QUALIFICATIONS: 3+ years of experience in software development and data engineering with a strong focus on data cleaning, transformation, and creation. Proficiency in Python and experience with data processing libraries (e.g., Pandas, Polars, NumPy). Hands-on experience in building and maintaining automated data pipelines for large-scale data processing. Familiarity with machine learning frameworks (e.g., PyTorch, JAX, scikit-learn) as applied to data quality and augmentation tasks. Expertise in working with healthcare data, including familiarity with the OMOP Common Data Model (OMOP CDM). Strong experience in a Linux environment and comfort with UNIX command-line tools. Proven ability to work collaboratively in multidisciplinary teams and communicate technical concepts effectively. PREFERRED QUALIFICATIONS: Experience with cloud platforms (e.g., GCP, AWS, or Azure) and distributed computing frameworks. Proficiency with version control systems (e.g., Git) and containerization tools (e.g., Docker). Familiarity with healthcare data standards and regulatory requirements. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in scientific or analytic field and five years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Knowledge of key data structures algorithms, and techniques pertinent to systems that support high volume, velocity, or variety datasets (including data mining, machine learning, NLP, data retrieval). • Experience with relational, NoSQL, or NewSQL database systems and data modeling, structured and unstructured. • Experience in parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch). • Experience in scripting languages and experience in debugging them, experience with high performance/systems languages and techniques. • Knowledge of benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies. • Ability to use and integrate security controls for web applications, mobile platforms, and backend systems. • Experience deploying reliable data systems and data quality management. • Ability to research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable Big Data platforms. • Ability to document use cases, solutions and recommendations. • Demonstrated excellence in written and verbal communication skills. CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS : • Frequently sit, grasp lightly, use fine manipulation and perform desk-based computer tasks, lift, carry, push pull objects that weigh to ten pounds. • Occasionally sit, use a telephone or write by hand. • Rarely kneel, crawl, climb, twist, bend, stoop, squat, reach or work above shoulders, sort, file paperwork or parts, operate foot and hand controls. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Additional Information Schedule: Full-time Job Code: 4734 Employee Status: Fixed-Term Grade: K Requisition ID: 106579 Work Arrangement : Hybrid Eligible

The Johns Hopkins Data Science and AI Institute (DSAI) is a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. DSAI is focused on revolutionizing discovery by advancing artificial intelligence that evolves collaboratively with human intelligence, combining the strengths of each for the betterment of society and the world in which we live. DSAI will bring together the mathematical, computational, and ethical foundations of AI with the domains of Health & Medicine, Scientific Discovery, Engineered Systems, Security & Safety, and People, Policy & Governance. DSAI seeks a Research Software Engineer - Clinical NLP Specialty with strong academic background and relevant experience in industry or academia focused on designing and building state-of-the art clinical NLP systems. This position supports research initiatives in the development and novel application of NLP and large language models to extract insights from unstructured clinical text using techniques such as named entity recognition (NER), negation detection, structured data extraction, diagnosis prediction, risk stratification, temporal reasoning and phenotyping. The successful candidate will play a critical role in designing, implementing, rigorously evaluating, deploying and maintaining robust and scalable NLP pipelines and models to extract meaningful information from unstructured clinical text in secure environments, with the goal of enabling high-impact solutions across a range of biomedical domains. Experience with large language models - such as fine-tuning, prompt engineering, model evaluation, and adapting foundation models for domain-specific clinical tasks - is desirable, particularly in contexts that demand privacy, robustness, and interpretability. The clinical NLP RSE will work closely with clinicians, informatics researchers, data scientists and other RSEs to ensure NLP systems meet application goals with methodological rigor and scientific reproducibility. DSAI engineers are at the forefront of modern data intensive science, where professionally developed software is rapidly becoming a key ingredient for success. The DSAI initiative includes the build-out of a substantive and professional-scale software engineering capability, and a dramatic increase in infrastructure, both in hardware and in personnel. JHU has long been a world leader in the broader domains of medicine and public health as well as a wide range of science and engineering fields. This combined with our ethos of building out capabilities to have demonstrable global impact (e.g., JHUs Coronavirus Resource Center the award-winning global resource for real-time data and analysis for COVID-19) and other unique large scientific data sets, like the archives for the Sloan Digital Sky Survey and several simulations, will be key leverage points that will make the DSAI successful. Specific Duties & Responsibilities The successful candidates will participate in ground-breaking research projects that need advanced software solutions requiring expertise in software engineering not commonly found in scientific collaborations. The projects will require development of state-of-the art clinical NLP solutions using the latest deep learning libraries trained on state-of-the-art hardware in secure healthcare computing environments. Projects will involve analysis of massive data sets either in the cloud or on premises. Projects will require development of novel NLP software pipelines for processing of unstructured clinical notes. Some projects may require deep engagement, possibly leading to co-authorship on scientific publications, while others may involve a more casual consulting engagement. They may require software solutions developed from scratch or refactoring existing solutions to make them conform to industry standards (quality, efficiency, reusability, robustness, portability, documentation, etc.). It is a high-level goal of DSAI to translate the efforts for the individual projects into frameworks and template patterns for sustainable scientific infrastructure benefiting future projects. Special knowledge, skills, and abilities Strong NLP, LLM, machine learning and deep learning skills. Practical experience building NLP models and pipelines in a secure, HIPPA compliant healthcare environment. Expert-level knowledge of multiple modern NLP and LLM libraries and models. Hands-on experience adapting and fine-tuning large language models for domain-specific clinical applications, with attention to data efficiency, interpretability, and reproducibility. Demonstrated expertise in prompt engineering, evaluation, and benchmarking of large language models, including applying responsible AI principles in clinical or sensitive-data contexts Expert-level knowledge of the Python programming language. Familiarity with or willingness to learn C++ or other languages as may be needed. Familiarity with software containerization technologies such as Docker and Singularity. Familiarity with the Databricks platform. Fluency in the Linux operating system and related tools. Familiarity with modern software engineering best practices, such as Git source control, peer code review, test-driven development, build automation and continuous integration / continuous delivery. Familiarity with cloud development and deployment. Demonstrated leadership and self-direction. Willingness to teach others both informally and in short course format. Willingness to continually learn new tools and techniques as needed. Excellent verbal and written communication. Minimum Qualifications Masters in a quantitative discipline such as computer science, engineering, physics or bioinformatics, with strong scientific computing and/or mathematics background. Three year's experience working in software development in large clinical NLP projects in industry or academia. Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications PhD in a quantitative discipline. Five (5) years' experience as above in clinical NLP. Experience in CUDA GPU programming. Experience authoring open-source Python packages in PyPI. Experience in open-source project governance. Experience in open-source community adoption initiatives. Classified Title: Scientific Software Engineer Job Posting Title (Working Title): Research Software Engineer - Clinical NLP Specialty (Data Science and AI Institute) Role/Level/Range: APPTSTAF/01/ST Starting Salary Range: Commensurate w/exp. Employee group: Full Time Schedule: 37.5 hrs/wk, M-F FLSA Status: Exempt Location: Hybrid/Homewood Campus Department name: DSAI Institute Personnel area: Whiting School of Engineering Total Rewards The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: . Education and Experience Equivalency Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job. Applicants Completing Studies Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function. Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion . Equal Opportunity Employer . click apply for full job details

Data Scientist, Stanford Law School School of Law, Stanford, California, United States Research Mar 10, 2025 Post Date 102373 Requisition : This position has been deemed critical/has specific funding, has been approved by the Law School for posting, and is exempt from the hiring freeze.The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a Data Scientist to work across our research programs. This role will collaborate closely with teams of research fellows and students on projects related to machine learning and the public sector. We are looking for someone who is a self-learner, research-oriented, and excited by the mission of the Lab.About us: Stanford RegLab is a social impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector. We are an interdisciplinary team of lawyers, data scientists, social scientists, and engineers who are passionate about building high impact demonstration projects for the future of governance. Some of our partners include the EPA, IRS, DOL, and Santa Clara County Public Health.As a Data Scientist, you will: Support collecting, managing, and cleaning of data sets from regulatory agencies, understand discrepancies and build out and document a data dictionary to improve knowledge of different systems and how to manage discrepancies.Produce reports and publications on findings to our government partners and for academic publications, based on extensive data analysis.Work with PI and Research Director to ensure data management/collection is clear, secure, and robust; improve processes for collecting and managing data.Support training of research fellows on best practices and technical skills Core Duties: Identify and select usable data from subtle and complex data patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information.Design methods to validate data to ensure high quality product. Explore creative approach to using data based on technical expertise of available data. Distribute reports to applicable agencies, researchers, management and other internal end-users and provide interpretation of data when needed.Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity.Research and reconcile data discrepancies occurring among various information systems and reports.Collaborate with data managers to define and implement data standards and common data elements for data collection.Identify new sources of data and methods to improve data collection, analysis and reporting.May test prototype software and participate in approval and release process for new software.Other duties as assigned. Minimum Requirements: This is a one-year fixed term position, with the option of renewal. Education & Experience: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, mathematics or engineering. Knowledge, Skills and Abilities: Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Basic knowledge of software engineering principles and strong knowledge of at least one programming language, such as Python, R, and/or SQL); basic statistical ability. Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Strong listening, verbal and written communication skills. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of quality and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Ability to work effectively with multiple internal and external stakeholders. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Application Instructions: We invite you to apply by clicking on the "Apply for Job" button. To be considered, please submit the following items along with your online application: CVCover LetterProject and code samples or GithubTranscript (if graduated within 3 years) The expected pay range for this position is $82,468 to $106,256 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Note: The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4744 Employee Status: Fixed-Term Grade: G Requisition ID: 102373 Work Arrangement : Hybrid Eligible, On Site

Special Instructions to Applicants Please include a cover letter with your application submission. This is a 1 year contract with the possibility of extension and/or conversion to a career appointment. Department Summary American prisons are deadly but opaque places. In 2019, the federal entity charged with collecting and reporting carceral mortality data stopped performing these critical functions. This abdication left the public without access to even the most basic facts about life and death behind bars, including how many people die each year in state and federal prisons; who is dying in prison, and why; and what disparities-racial, gender, and geographical-exist in mortality outcomes. This informational void makes it difficult if not impossible for policymakers and other stakeholders to identify what actions carceral agencies can take to reduce preventable deaths and improve conditions inside. It also makes it hard for members of the public to see the contours and impacts of the carceral penalties imposed on people convicted of crimes. The UCLA Law Behind Bars Data Project's carceral mortality database is the only comprehensive, public accounting of the most basic fact about mortality behind bars: how many people died across state and federal prisons in recent years. The Project obtains and cleans data from public records requests, death certificates, and other data sources; compiles and publishes the data, and employs established data protocols and research methodologies to understand its implications. In addition, the Project collaborates with advocates, reporters, researchers, litigators, policymakers, and other stakeholders to make sure that data is available, intelligible, and usable for their purposes. Position Summary While the Senior Data Scientist (Supervisor) will learn from the Project's previous iterations, the new carceral mortality and morbidity agenda will be a significant expansion for the team. As such, in addition to being a core member of our Data Team performing a proportionate share of the Data Team's work, the Senior Data Scientist (Supervisor) will be responsible for crafting new data project plans and methodological approaches, strategizing incorporation of outside datasets, and managing the data team along with internal collaborations to maximize impact on policy and practice. They will also articulate, in consultation with the Project's Faculty Directors, a strategic vision for the expanded collection, processing and analysis of carceral morbidity data. The Senior Data Scientist (Supervisor) will supervise the team's Data Analyst, Data Scientist, Senior Research Scientist, and several student research assistants. Salary & Compensation UCLA provides a full pay range. Actual salary offers consider factors, including budget, prior experience, skills, knowledge, abilities, education, licensure and certifications, and other business considerations. Salary offers at the top of the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits. Qualifications Substantial research experience. (Required) Prior building or maintaining productionized ETL pipelines in R or Python. (Preferred) Experience planning and executing quantitative research including data collection, cleaning, analysis, and publication (Required)Experience working with datasets that include missing, unstructured, and/or incorrect data. (Required)Experience establishing relationships and working with diverse collaborators (e.g., local advocates, government officials, and journalists) with varying levels of technical literacy. (Required)Strong organizational skills for project planning, data collection procedures, and complex research activities. (Required)Experience with public record requests and creating impactful data visualizations for social media and news reports. (Preferred)Proficiency using R or another programming language to manipulate data and draw insights from large, complex datasets. (Required)Strong writing skills, including experience with peer-reviewed manuscripts. (Required)Experience using git/GitHub to track tasks and data acquisition processes, and regularly update data on GitHub. (Required)Experience creating impactful data visualizations for social media and reports. (Preferred)Experience developing open-source datasets and GIS platforms. (Preferred)Experience planning and executing quantitative data projects including collection, cleaning, analysis, and archiving. (Preferred)Experience supervising similarly sized data teams and working with diverse collaborators with varying levels of data literacy. (Required) Education, Licenses, Certifications & Personal Affiliations Master's Degree in Data science, quantitative social science, or related field OR 5+ years working experience as a data or research scientist or equivalent combination of education and experience. (Required) Special Conditions for Employment Background Check: Continued employment is contingent upon the completion of a satisfactory background investigation.Live Scan Background Check: A Live Scan background check must be completed prior to the start of employment.Age Requirement: Candidate(s) must be 18 years or older to be eligible to be hired.Compassion, empathy, and a sense of humor. (Required)Lived experience with and/or knowledge of the criminal legal system. (Preferred)Experience working with remote teams. (Preferred)Ability to prioritize and effectively manage a workload with multiple deadlines. (Required)Familiarity or interest in working with public health and/or criminal justice data. (Required)Outstanding leadership, judgment, attention to detail, and the ability to foster a collaborative remote working environment. (Required) Schedule Monday - Friday 8am-5pm PST Union/Policy Covered 99-Policy Covered Complete Position Description

Job Title: Data Analyst (Professional) Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 292799 About Us Overview Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan . These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 1. Students are our top priority. 2. We strive for excellence. 3. We thrive on diversity. 4. We celebrate collaboration. 5. We champion innovation. 6. We safeguard freedom of inquiry and expression. 7. We nurture the wellbeing of our community. 8. We act ethically. 9. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. Job Summary Data Analysts analyze data, interpret trends and patterns, and provide insights to support decision-making processes. They develop data models, perform data mining and statistical analysis, and collaborate with stakeholders to optimize data-driven strategies. Responsibilities Job Duty 1 - Collect, analyze, and interpret data from various sources, databases, and systems to extract insights, trends, and patterns that inform business decisions, strategies, and operations. Job Duty 2 - Develop and maintain data models, queries, and reports using SQL, Python, R, or data analysis tools to perform data cleansing, transformation, and visualization tasks. Job Duty 3 - Identify data quality issues, anomalies, and discrepancies in datasets, conduct data validation, data profiling, and data integrity checks to ensure data accuracy and reliability. Job Duty 4 - Create data visualizations, dashboards, and data analytics reports to communicate data findings, trends, and key metrics to stakeholders, management, and decision-makers. Job Duty 5 - Conduct ad-hoc data analysis, exploratory data analysis, and statistical analysis to support decision-making processes, performance monitoring, and data-driven insights. Job Duty 6 - Perform data mining, predictive analytics, and machine learning tasks to uncover hidden patterns, predict outcomes, and drive data-driven decision-making in organizations. Job Duty 7 - Utilize data analytics tools, business intelligence platforms, and statistical software packages to conduct data analysis, data modeling, and data visualization tasks efficiently and accurately. Job Duty 8 - Stay current on data analytics trends, tools, and methodologies through training, certifications, and industry publications to enhance data analysis skills and knowledge. Job Duty 9 - Collaborate with business users, data scientists, and Information Technology teams to define data requirements, analytics requirements, and data-driven solutions for business problems and opportunities. Job Duty 10 - Perform other job-related duties as assigned Required Qualifications Educational Requirements Associate's Degree in a related discipline or equivalent combination of education and experience. Required Experience No prior relevant work experience required. Preferred Qualifications Additional Preferred Qualifications Preferred Certifications, Licenses or Permits: Student Success Analytics, SAS, Excel, certifications, or other data-related skills Preferred Experience Knowledge of college student development theory. Application of specialized skills within a university or government agency environment Preferred Educational Qualifications Bachelor's Degree in a related discipline or equivalent. Knowledge, Skills, & Abilities SKILLS o Proficient in using Excel, Tableau, Qualtrics, SPSS, Pyramid, Power BI, etc. o Familiarity with applicable Institute, state, and federal laws and regulations regarding data storage, preservation, and security; the protection of human subject data, and adherence to Ethical Institute standards. Demonstrated working knowledge of statistical software. This job requires knowledge of data analysis, including the nature of the data to be analyzed, the relation of the data to the GT population, and the ability to employ predictive analytics to anticipate future trends and/or needs. USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at . Equal Employment Opportunity The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract. Other Information This is not a supervisory position. This position does not have any financial responsibilities. This position will not be required to drive. This role is not considered a position of trust. This position does not require a purchasing card (P-Card). This position will not travel This position does not require security clearance. Job Grade:A7 Salary Range $46,704.00 - $63,518.00 Background Check Successful candidate must be able to pass a background check. Please visit

Data Science Analyst 3 Job ID: 292726 Location: Augusta University Full/Part Time: Full Time Regular/Temporary: About Us Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values make Augusta University an institution like no other. Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state. The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at . Location Augusta University Our Health Sciences Campus: th Street, Augusta, GA 30912 Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904 College/Department Information The Medical College of Georgia (MCG) is one of the nation's largest medical schools by class size, with 304 students per class. The MCG educational experience is anchored by the main campus in Augusta, with regional clinical campuses for third- and fourth-year students across the state, and two four-year campuses located in Athens (in partnership with the University of Georgia) and in Savannah (in partnership with Georgia Southern University). MCG's expanding partnerships with physicians and hospitals across Georgia currently provide more than 350 sites where students can experience the full spectrum of medicine, from complex care hospitals to small-town solo practices. MCG and its teaching hospitals also provide postgraduate education to approximately 575 residents and fellows in 50 different Accreditation Council for Graduate Medical Education-approved programs. Our researchers and clinicians focus on what most impacts the health of Georgia's and America's children and adults, including cardiovascular biology and disease, cancer, neurosciences and behavioral sciences, public and preventive health, regenerative and reparative medicine, personalized medicine and genomics. Our physician faculty also share their expertise with physicians and patients at about 100 clinics and hospitals statewide. Job Summary The Department of AI And Health at Augusta University seeks an exceptional Lead Data Scientist Analyst 3 to direct our development team in creating innovative technical solutions at the intersection of biomedical informatics and advanced data science. This leadership role combines strategic technical vision with hands-on team management, driving the development of scalable software systems that support cutting-edge healthcare research and clinical applications. Responsibilities The responsibilities include, but are not limited to: System Design Leads team of developers through all stages within the Software Development Life Cycle (SDLC). Determines solution-wide testing requirements and decides which solutions should be implemented. Flexibility with both SysOps and DevOps opportunities. Leverages advanced knowledge of Microsoft, open-source, and web standard technologies such as ASP.NET Web Forms, ASP.NET MVC, C#, CSS, HTML, JavaScript, jQuery, and T-SQL to design and develop technical solutions to new and existing problems with varying scale and complexity utilizing fundamental design concepts and department standards. Application Development and Maintenance Oversees applications and databases by leading a team of developers in evaluating client needs, analyzing requirements, and developing software systems across multiple projects. Delegates project tasks to developers. Prepares workflow documents using knowledge of client capabilities, subject matter, development technologies, and logic. Confirms program operation, integrity, consistency, and standards compliance with each platform necessitated by the client. Leadership Develops staff through coaching and positive/negative feedback. Ensures data science staff follow AU policies and procedures as well as both federal and state regulations. Monitors staff work and relationships with customers to ensure promised timelines are met and quality services are provided to customers. Communicates changes effectively, looks for ways to improve and promote quality, prioritizes and plans work activities with the PMO. Innovation Monitors infrastructure of databases, applications, and file system upgrades and provides management with projected long-range requirements for functions. Remains current with technologies and biomedical informatics methods and standards. Actively participates in professional and scientific forums. Ensures compliance with all applicable standards. Leads market analysis and innovation, driving the team to generate new ideas and business streams to grow the business and enhance the units reputation. Assists with the development of a 5-year business innovation and diversification strategy. Displays original thinking and creativity. Understands business implications of decisions. Professional Development Maintains and updates professional and technical knowledge by engaging in activities such as completing educational workshops, seeking official certification, establishing personal networks, and participating in professional societies. Other Completes special projects as assigned. Required Qualifications Master's degree from an accredited college or university in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field with three years related experience. OR Bachelor's degree from an accredited college or university in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field with five years related experience. Preferred Qualifications Prior involvement in healthcare, academic operations, or public sector analytics. Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS). Knowledge, Skills, & Abilities Ability to maintain confidentiality Detail-oriented Excellent interpersonal, verbal, and written communication skills Proficient in Microsoft Office and other computer software/databases Shift/Salary/Benefits Shift: Days/M-F (work outside of normal business hours will likely be required of an employee in an exempt level position) Pay Band: B13 Salary Minimum: $68,500/annually Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position. Recruitment Period: 12/1/25 - Until Filled Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees. Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays. Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today! Conditions of Employment All selected candidates are required to successfully pass a Background Check review prior to starting with Augusta University. If applicable for the specific position based on the duties: the candidate will also need to have a credit check completed for Positions of Trust and or approved departmental Purchase Card usage. Motor vehicle reports are required for positions that are required to drive an Augusta University vehicle. For Faculty Hires: Final candidates will be required to provide proof of completed academic degree(s) as well as post-secondary coursework in the form of original transcript(s). Those candidates trained by a foreign institution will also be required to provide an educational/credential evaluation. All employees are responsible for ensuring the confidentiality, availability, and integrity of sensitive patient . click apply for full job details

Data Scientist Dean of Research, Stanford, California, United States Information Analytics Dec 15, 2025 Post Date 107927 Requisition #SCHOOL/UNIT DESCRIPTION: Anchored in the Wu Tsai Neurosciences Institute and the Office of the Dean of Research, the Knight Initiative in Brain Resilience is a cross-disciplinary scientific endeavor aimed at addressing neurodegeneration, aging and brain resilience. Diseases and associated issues of cognitive decline like Alzheimer's, Parkinson's, dementia, and related ailments are increasing with our rapidly aging global population. Stanford seeks to advance a new era of brain science focused on accelerating the fundamental understanding of the aging brain, both the biological causes of neurodegeneration and how to increase brain resilience throughout the lifespan. Our community ranges broadly, consisting of esteemed alumni, world class faculty and students, dynamic staff and administrators and include some of the world's most successful leaders in neuroscience. In realizing our mission, our staff are critical to supporting our organization's goals and enabling Stanford faculty and students to accomplish its mission conducting cutting-edge research with the objective of formulating innovative solutions to brain-aging, disease, neurodegeneration, dementia and resilience. POSITION SUMMARY: We are seeking a highly skilled and experienced Data Scientist to join our team. The successful candidate will be responsible for managing and analyzing large sets of multi-omics data with a focus on human brain aging. They will work closely with the research team to identify patterns and correlations in the data related to brain aging, develop and implement data analysis pipelines and workflows, generate visualizations and reports, and contribute to the development of predictive models and algorithms. The Data Scientist will be responsible for developing and adapting data collection and analysis methods, identifying and resolving data quality issues, and collaborating with various stakeholders. They will need to have a PhD or Master's degree in a relevant field, strong programming skills, experience with data management systems and visualization tools, and excellent communication and presentation skills. This position is a two-year fixed-term appointment, with possibility of renewal based on programmatic need and funding availability, with a primary work site on Stanford University's main campus. CORE DUTIES: Collect, manage and clean datasets. Manage and analyze large sets of data from various sources, including genomics, transcriptomics, proteomics, and metabolomics. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Utilize and fine-tune genomic foundation models on aging data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. Analyze data processes in documentation. Collaborate with faculty and research staff on data collection and analysis methods. Provide documentation based on audit and reporting criteria to investigators and research staff. Communicate with government officials, grant agencies and industry representatives. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills and Abilities: Substantial experience with MS Office and analytical programs. Strong writing and analytical skills. Excellent communication and presentation skills. Ability to prioritize workload. PREFERRED QUALIFICATIONS: PhD or Master's degree in a relevant field such as data science, bioinformatics, computational biology, or statistics Strong programming skills, including experience with R or Python Experience with multi-omics data analysis and/or experience with brain aging research Strong understanding of statistical methods and machine learning techniques Experience with building genomics foundation models, using HPC and cloud computing platforms such as AWS or Azure is a plus PHYSICAL REQUIREMENTS : Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. Rarely kneel/crawl, climb (ladders, scaffolds, or other). Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . WORKING CONDITIONS: May work extended or non-standard hours based on project or business needs. Occasional local travel may be required. Some work may be performed in a laboratory setting. May be exposed to Allergens/Biohazards/Chemicals, confined spaces, unusual work hours or routine overtime and/or inclement weather. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on a wide range of factors that are unique to each candidate including but not limited to geographic location, knowledge, skills and abilities, relevant education, depth and breadth of experience, performance; as well as other business and organization needs such as (but not limited to) the scope and responsibilities of the position, the minimum qualifications, departmental budget availability, and market and internal equity across the unit, department and reporting relationships. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for you: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4751 Employee Status: Fixed-Term Grade: G Requisition ID: 107927 Work Arrangement : On Site

Data Science Analyst 1 Job ID: 292359 Location: Augusta University Full/Part Time: Full Time Regular/Temporary: About Us Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values make Augusta University an institution like no other. Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state. The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at . Location Augusta University Our Health Sciences Campus: th Street, Augusta, GA 30912 Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904 College/Department Information The Medical College of Georgia (MCG) is one of the nation's largest medical schools by class size, with 304 students per class. The MCG educational experience is anchored by the main campus in Augusta, with regional clinical campuses for third- and fourth-year students across the state, and two four-year campuses located in Athens (in partnership with the University of Georgia) and in Savannah (in partnership with Georgia Southern University). MCG's expanding partnerships with physicians and hospitals across Georgia currently provide more than 350 sites where students can experience the full spectrum of medicine, from complex care hospitals to small-town solo practices. MCG and its teaching hospitals also provide postgraduate education to approximately 575 residents and fellows in 50 different Accreditation Council for Graduate Medical Education-approved programs. Our researchers and clinicians focus on what most impacts the health of Georgia's and America's children and adults, including cardiovascular biology and disease, cancer, neurosciences and behavioral sciences, public and preventive health, regenerative and reparative medicine, personalized medicine and genomics. Our physician faculty also share their expertise with physicians and patients at about 100 clinics and hospitals statewide. Job Summary The Department of AI & Health seeks a Data Scientist 1 to join our growing research unit at a transformative time in healthcare research. This position plays a critical role in advancing our computational capabilities and establishing our department as a leader in AI-driven health research. You will work on cutting-edge projects involving medical imaging, electronic health records, genomics, and real-time patient monitoring data, contributing to high-impact research in predictive diagnostics, personalized medicine, and clinical decision support systems. Your work will directly enable grant acquisition, accelerate publication output in top-tier journals, attract doctoral students and postdoctoral fellows, and establish valuable partnerships with clinical departments and external collaborators seeking robust computational capabilities. Responsibilities The responsibilities include, but are not limited to: Application Development and Maintenance Design and implement predictive models using AI/ML techniques on structured and unstructured data (e.g., admissions data, EHRs, radiology reports). Work at the intersection of longitudinal machine learning, multi-modal analysis, clinical informatics, and population health. Conduct comprehensive data preprocessing, feature engineering, and model validation. Evaluate model fairness, bias, and explainability. Translate insights into operational recommendations through dashboards, briefings, and stakeholder presentations. Support strategic initiatives, including student success analytics, department crowding models, and early detection algorithms. Collaboration and Communication Collaborate with clinicians, educators, and administrators to frame problems, understand data needs, and interpret model outputs. Translate insights into operational recommendations through dashboards, briefings, and stakeholder presentations. Required Qualifications Bachelor's degree from an accredited college or university in Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field and one year of related experience. Preferred Qualifications Prior involvement in healthcare, academic operations, or public sector analytics. Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS). Knowledge, Skills, & Abilities Demonstrated experience with machine learning, natural language processing (NLP), or AI model development. Proficiency in Python, R, and data manipulation libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch). Experience working with clinical, academic, or institutional datasets preferred. Excellent communication skills and ability to translate complex technical findings for non-technical stakeholders. Shift/Salary/Benefits Shift: Days/M-F (work outside of normal business hours will likely be required of an employee in an exempt level position) Pay Band: B9 Salary Range: $48,800/annually - $50,000/annually Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position. Recruitment Period: 11/21/25 - Until Filled Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees. Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays. Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today! Conditions of Employment All selected candidates are required to successfully pass a Background Check review prior to starting with Augusta University. If applicable for the specific position based on the duties: the candidate will also need to have a credit check completed for Positions of Trust and or approved departmental Purchase Card usage. Motor vehicle reports are required for positions that are required to drive an Augusta University vehicle. For Faculty Hires: Final candidates will be required to provide proof of completed academic degree(s) as well as post-secondary coursework in the form of original transcript(s). Those candidates trained by a foreign institution will also be required to provide an educational/credential evaluation. All employees are responsible for ensuring the confidentiality, availability, and integrity of sensitive patient, student, employee, financial, business, etc. information by exercising sound judgment and adhering to cybersecurity and privacy policies during their employment and beyond. Other Information This position is also responsible for promoting a customer-friendly environment and providing superior service to our patients, students, faculty, and employees. "Augusta University is a patient-and family-centered care institution, where employees partner every day with patients and families for success." Augusta University is a tobacco-free environment, and the use of any tobacco products on any part of the campus, both inside and outside, is strictly prohibited. Equal Employment Opportunity Augusta University is proud to be an equal opportunity employer welcoming applicants from underrepresented groups, including individuals with disabilities and veterans. How To Apply Consider applying with us today! Select University Faculty & Staff > External Applicants if you are a candidate from outside the university Select University Faculty & Staff > Internal Applicants if you are a current university employee . click apply for full job details

Department: Sch of Nursing - 440100 Career Area : Information Technology Posting Open Date: 10/23/2025 Application Deadline: 01/11/2026 Position Type: Temporary Staff (SHRA) Position Title : AI/LLM Developer/Engineer Position Number: Vacancy ID: S026301 Full-time/Part-time: Full-Time Temporary Hours per week: 40 Position Location: North Carolina, US Hiring Range: $26.04 - $33.85 per hour Estimated Duration of Appointment: 6 months not to exceed 11 months Be a Tar Heel!: A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities . Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn.One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates for performing arts events. Primary Purpose of Organizational Unit: The mission of the School of Nursing is to enhance and improve the health and well-being of the people of North Carolina and the nation, and, as relevant and appropriate, the people of other nations, through its programs of education, research, and scholarship, and through clinical practice and community service. The University of North Carolina at Chapel Hill School of Nursing has been the leader in nursing education in North Carolina throughout its history. Established in 1950, it was the first school of nursing in North Carolina to offer a four-year baccalaureate nursing degree program followed by the first master's degree program, the first continuing education program for nurses, first doctoral program, and first accelerated BSN option to students with college degrees. Today, the School is renowned for its academic programs, its research and its commitment to clinical and community service within state, national and global communities. Position Summary: The Center for Virtual Care Value and Excellence (ViVE), led by Dr. Saif Khairat, is seeking an AI/LLM Developer/Engineer to join our AI research team. This is an exciting opportunity to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position We are looking for individuals with a strong theoretical and practical background in large language models, machine learning, and natural language processing, combined with a collaborative spirit and a drive for problem-solving. You'll join a multidisciplinary team that values diversity and brings together expertise in software engineering, big data, clinical informatics, and medicine. Key Responsibilities Design, fine-tune, and evaluate large language models (LLMs) tailored to domain-specific applications using techniques such as transfer learning, LoRA, and reinforcement learning with human feedback (RLHF). Build intelligent applications powered by LLMs, including chatbots, virtual agents, clinical decision tools, or document analyzers, using frameworks like LangChain, LlamaIndex, or semantic search pipelines. Develop scalable LLM pipelines and infrastructure, including data ingestion, preprocessing, model serving (via GPU/TPU), and continuous performance monitoring. Integrate commercial and open-source LLMs (e.g., OpenAI GPT, Claude, Mistral, LLaMA) via APIs or local deployment into digital health or enterprise systems. Craft and iterate prompts using advanced prompt engineering and chain-of-thought strategies to improve output relevance, tone, factuality, and task completion. Implement retrieval-augmented generation (RAG) architectures to enhance context awareness using vector databases (e.g., Pinecone, FAISS, Weaviate). Evaluate LLM performance using automated and human-in-the-loop methods to assess accuracy, hallucination, safety, and user satisfaction. Collaborate across disciplines with data scientists, UX designers, domain experts, and MLOps to ensure usability, performance, and alignment with real-world needs. Monitor and optimize system performance, including latency, throughput, token usage, and model cost-effectiveness across deployment environments. Stay current with advancements in generative AI, contributing to the internal knowledge base and driving adoption of best practices for ethical and responsible LLM use. Minimum Education and Experience Requirements: Bachelor's degree in Computer Science, Computer Information Systems, Computer Engineering, or closely related degree from an appropriately accredited institution and three years of experience in operations analysis and design, systems programming, or closely related area; or a - Bachelor's degree from an appropriately accredited institution and four years of experience in operations analysis and design, systems programming or closely related area; or an Associate's degree in Computer Information Technology, Computer Engineering Technology, or Networking Technology from an appropriately accredited institution and five years of experience in operations analysis and design, systems programming, or closely related area; or an equivalent combination of education and experience. - Journey level requires an additional one year of education or experience. - Advanced level requires an additional two years of education or experience. Required Qualifications, Competencies, and Experience: Bachelor's degree in Computer Science, Electrical Engineering, or related fields. Expertise in Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), deep learning frameworks. Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or LangChain Familiarity with clinical or healthcare data (e.g., EHRs, clinical notes, structured claims data) Proven research record with peer-reviewed publications in relevant fields Strong problem-solving skills and the ability to work in a collaborative environment. Preferred Qualifications, Competencies, and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning, prompt engineering, or retrieval-augmented generation (RAG) Experience deploying large-scale machine learning models in cloud environments. Campus Security Authority Responsibilities: Not Applicable.

Remote Data Analyst / Data Scientist $20-$50/hr Job Description: Analyze data sets, generate reports, and provide insights to support decision-making. Your work helps improve efficiency and strategy. All experience levels are welcome, with training provided to develop your skills. Work Schedule: Monday to Friday, 9am to 4pm (Flexible part-time or full-time hours). Qualifications: Basic knowledge of data analysis tools like Excel, SQL, or Python. What We Offer: Remote environment, competitive pay, and ongoing training opportunities. Interested in data-driven roles? Apply today!

Job ID: 695377BR Date posted: Oct. 14, 2025 Description: Who We Are: Lockheed Martin RMS provides mission software for the United States Strategic Command (USSTRATCOM) Nuclear Deterrence Mission. Our amazing men and women are on a mission to make a difference in the world and keep our nation safe. We use our unique skills and experiences every day to create, design and build solutions to some of the world's hardest engineering problems. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers, AI Engineers, and Data Scientists executing engineering best practices, full-stack design patterns, and secure software and AI techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include development, design, and technical leadership for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Software Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers executing web development best practices, full-stack design patterns, and secure software techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Basic Qualifications: • Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 9 years of professional experience; or 7 years of professional experience with a related Masters degree. Considered an emerging authority. • Must be a US Citizen; this position will require a government security clearance. This position is located at a facility that requires special access • Experience with AI/ML: disciplines, domain programming languages (including Python), models, frameworks, and toolsets. • Experience analyzing domain problems and selecting and designing AI solutions. Desired Skills: • DevOps experience including CI/CD pipelines to build, test, deploy. • Experience with training deep neural networks and other AI algorithms • Experience with Java and JavaScript • Familiarity with high-performance computing • Familiarity interfacing with databases (Oracle, MongoDB) Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Artificial Intelligence Type: Full-Time Shift: First

Company Description Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday-Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit for more information and follow us on LinkedIn and Instagram . Job Description Adtalem is a data driven organization. The Data Engineering team builds data solutions that powers strategic and tactical business decisions and supports the Analytics and Artificial Intelligence operations. By implementing the data platform, data pipelines and data governance policies this team provides the basis for decision-making in Adtalem. Adtalem is looking for a Senior Data Engineer who design, build, and maintain robust data engineering solutions that support our company's innovation initiatives and growth objectives. Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth. Design, develop, deploy and support high performance data pipelines both inbound and outbound. Model data platform by applying the business logic and building objects in the semantic layer of the data platform. Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics Optimize data pipelines for performance, scalability, and reliability. Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. Document the design and support strategy of the data pipelines Capture, store and socialize data lineage and operational metadata Troubleshoot and resolve data engineering issues as they arise. Develop REST APIs to expose data to other teams within the company. Stay current with emerging technologies and industry trends related to big data, streaming data, and synthetic data generation Mentor and guide junior data engineers. Qualifications Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field. Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows,BQML, Vertex AI. Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics. Hands-on experience working with real-time, unstructured, and synthetic data, and will be instrumental in advancing our data platform capabilities. Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar. Expert knowledge on Python programming and SQL. Experience with cloud platforms (AWS, GCP, Azure) and their data services Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Familiarity with synthetic data generation and unstructured data processing Experience in AI/ML data pipelines and frameworks Excellent organizational, prioritization and analytical abilities. Have proven experience working in incremental execution through successful launches. Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. Experience working in agile environment. Additional Information In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84,835.61 and $149,076.17. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: Health, dental, vision, life and disability insurance 401k Retirement Program + 6% employer match Participation in Adtalem's Flexible Time Off (FTO) Policy 12 Paid Holidays For more information related to our benefits please visit: You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation