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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 Now" 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 Now" 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:

AI Research Scientist-Medical Applications Opportunity This Jobot Job is hosted by: Robert Reyes Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $135,000 - $220,000 per hour A bit about us: An innovative leader in the rapidly growing field of imaging-guided cancer treatment. By adopting a fully quantitative, real-time interactive approach to imaging analysis, simulation and guidance, our next generation computer-assisted radiology and surgery solutions go well beyond advanced 3D image visualization. Why join us? performance-based bonus, 3% 401k yearly contribution, medical/dental/vision insurance with 85% company contribution toward premium, 10 vacation days, 5 sick days, H1B sponsorship GC sponsorship for employees who have worked for at least 3 years and have made significant contributions to the company relocation package Job Details Job Details: EDDA Technology is seeking multiple AI Research Scientists specializing in Medical Applications. The successful candidates will be part of a dynamic team involved in the design, implementation, and verification of deep learning algorithms for 3D and 2D segmentation, registration, and tracking problems on medical images. The role also involves defining, developing, and validating clinical solutions, leading and conducting extensive AI research, and designing experiments and prototypes. The role requires staying updated with the latest AI research and advancements and working closely with clinical customers to solve real-world problems. Responsibilities: Design, implement, and verify deep learning algorithms for 3D and 2D segmentation, registration, and tracking problems on medical images Define, develop and validate clinical solutions Lead and conduct extensive AI research to develop new methodologies and technologies related to Medical Imaging Design experiments and prototypes to test the viability and efficiency of new AI models Fast prototyping of image and video analysis product modules Stay updated with the latest AI research and advancements Collaborate closely with clinical customers to solve real-world problems Conform to the Company's standard/procedure of product development Efficiently communicate with project managers and team members on the execution Other job responsibilities as assigned by the management Qualifications: Strong background in Artificial Intelligence, Machine Learning, Deep Learning and/or Medical Image Analysis Coding skills and ability to quickly prototype Deep Learning models is a must Experience and skills in working with deep reinforcement learning (deep RL) are preferred Strong algorithm development skills with in-depth knowledge on medical image analysis/segmentation, image registration, image/video tracking, computer vision, deep learning, real-time processing, and GPU programming 3+ years of experience in the related fields preferred, with excellent software engineering skills in using C/C++ Other software skills preferred include Python, Pytorch, Tensor Flow, and Keras Experience and skills in working with large language models (LLMs), large vision models (LVMs), and natural language processing (NLP) are preferred Experience with TensorRT, NVIDIA IGX, 3D visualization programming in Linux, and/or Jetson systems is a plus Strong problem-solving skills with quick implementation and verification Strong team player and highly self-motivated individual with desire and ability to learn quickly Written and verbal communication skills in English are required PhD in AI/ML/CE/EE/CS/Bio-Engineering Knowledge in human anatomy and interpretation of medical images a plus Hands-on experience and knowledge in DICOM a plus Experience in processing ultrasound images a plus Requires 5+ years of experience. Interested in hearing more? Easy Apply now by clicking the "Apply Now" 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:

100% Remote! PhD Required! This Jobot Consulting Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80 - $200 per hour A bit about us: We are a healthcare technology company looking for a senior, highly strategic Data Scientist role for someone with a strong econometrics, statistics, and economics background who is still deeply technical. You will focus on: Translating complex data into strategic insights Supporting budget planning and financial decision-making Partnering with senior leadership (Chief Data Officer) Taking deep analytical work from concept to production Location: Remote Project Duration: 6-1 year with oppportunity to extend Why join us? High Caliber team Exciting work Edge AI frameworks for real-time intelligence across industries Image Processing pipelines for diagnostics, automation, and quality Mapping & Geospatial AI systems Healthcare forecasting & analytics platforms SDLC accelerators reducing development cycles dramatically Enterprise-grade Data Engineering platforms Job Details Key Responsibilities Advanced Econometrics & Financial Modeling expertise Full-stack AI/ML experience (research production) Strategic judgment on model architectures and trade-offs Hands-on engineering ability (production-grade code) PhD-level rigor, patents, or experience at leading tech/financial innovators Required Background & Experience PhD preferred (Econometrics, Economics, Statistics, Applied Math, or related field) 10-15 years of experience in data science, econometrics, or advanced analytics Experience in US Healthcare - with Clinical Asset Management Strong background in econometrics, statistical modeling, and economic analysis Proven experience working on strategic initiatives, not just analysis Experience partnering with finance leaders (CFOs, finance teams) on budgeting and planning Still hands-on and technical- hands on engineering able to dive into data and models personally Nice to Have Healthcare or healthtech exposure (not mandatory) Experience working with asset-intensive industries Prior consulting background Interested in hearing more? Easy Apply now by clicking the "Apply Now" 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:

Minimum Qualifications: Associate's degree or equivalent in related field and one year related experience. Preferred Qualifications Bachelor's or Master's degree in Computer Engineering, Computer Science,Electrical Engineering, or related field. Proficiency in Python required; strong experience in libraries such as NumPy,OpenCV, scikit-learn, TensorFlow, or PyTorch. Experience interfacing with optical and electronic components (e.g., cameras,LEDs, filter wheels, motion stages, serial/USB communication). Working knowledge of image processing and signal analysis. Demonstrated ability to design, test, and document engineering systems in a collaborative environment. Experience with real-time image acquisition and GPU acceleration (CUDA orOpenCL). Familiarity with biomedical or scientific imaging systems. Experience with machine learning or AI-driven image analysis. Job Description: To provide technical skills in the preparation and use of programs for the solution of problems by electronic computers. Join a multidisciplinary team developing next-generation optical imaging systems for neurosurgery. This position will focus on designing and optimizing software to control and integrate optical components (LEDs, cameras, filters, motion systems), while developing robust pipelines for real-time data acquisition, visualization, and analysis. A central objective is to leverage the data generated from these systems to build and train machine learning and AI algorithms for improved image-based detection and classification using advanced image processing techniques. The work directly supports translational technology development-taking innovations from bench to bedside to improve visualization and precision during brain tumor surgery. Essential Duties Develop and maintain Python-based control software for optical subsystems (LED drivers, cameras, filters, motorized stages, DAQs, etc.). Design and implement real-time data acquisition and visualization pipelines for fluorescence, spectral, and photoacoustic imaging. Build and evaluate machine learning models (e.g., classification, segmentation, regression) for improved detection and image analysis. Collaborate with optical engineers, neuroscientists, and clinicians to integrate software with hardware systems and perform benchtop and intraoperative validation. Translate research-grade prototypes into clinically deployable systems Maintain organized documentation, version control (Git), and contribute to shared multi-site data workflows. Working Conditions Hybrid lab/office environment; occasional off-hours support for experiments or intraoperative imaging sessions Salary Range: Commensurate with experience $48,000-$60,000 Equal Employment Opportunity UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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

We are seeking a Sr. Research Data Analyst who will build complex data models and conduct complex data analysis in support of research projects, programs, and/or studies. The Sr. Research Data Analyst is responsible for the coordination of data and data analysis activities across multiple studies. This position is responsible for leading a specific gene-environment interaction analytic project for our GEARS autism center of excellence. Specific Duties & Responsibilities Develop, manage, and database of survey data from multi-site study. Develop standard operating procedures for initial data entry and data updates. Oversee quality control procedures for database and ongoing analysis. Develop data models. Conduct statistical analyses of data collected in this system to support empirical study. Build transmission models. Create and curate software tools across diverse programming languages in support of research efforts. Other duties as assigned. In Addition to the Duties Listed Above Derive polygenic risk scores from large extant genome-wide genotyping datasets. Clearly summarize and present findings at team meetings. Prepare written reports of statistical analyses, including relevant statistical theory, references, methods, results, and conclusions, to contribute to scientific publications. Collaborate with a network of scientists and staff to address research questions involving the analysis of genetic and environmental risk hypotheses. Minimum Qualifications Master's Degree in related field. One-year of related experience. Highly specialized advanced knowledge, education and/or training in a specialized field of study to conduct research. Preferred Qualifications PhD in a related field. Genetic epidemiology or statistical genetics training and experience. Experience performing analyses on a high-performance compute cluster, utilizing parallelization and multi-threading, and mastery of the R statistical language. Experience in neurodevelopmental outcomes and prenatal exposures. Technical Skills & Expected Level of Proficiency Biostatistical Analysis - Intermediate Data Management and Analysis - Intermediate Data Tool and Resource Development - Intermediate Data Validation and Quality Assurance - Intermediate Project Management - Intermediate Research Software Development - Intermediate Statistical Modeling - Intermediate Statistical Programming - Intermediate The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs. Classified Title: Sr. Research Data Analyst Role/Level/Range: ACRP/04/MD Starting Salary Range: $26.82 - $46.92 HRLY (Commensurate w/exp.) Employee group: Casual / On Call Schedule: Hours Vary; Typically 9:00am-2:00pm FLSA Status: Exempt Location: Remote Department name: Mental Health Research Projects Personnel area: School of Public Health 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 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law Accommodation Information If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at . For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit . Vaccine Requirements Johns Hopkins University requires all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

Data Analyst C (Immune Health Institute) 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 Analyst C (Immune Health Institute) Job Profile Title Data Analyst C Job Description Summary The University of Pennsylvania is a national leader in advancing knowledge of the basic immunology of inflammation, autoimmunity, cancer, transplantation, and infection. Within Penn, the newly created Institute for Immunology and Immune Health (I3H) aims to bring together fundamental immunology and translational research with computational infrastructure to scale and integrate immunological knowledge into the electronic medical record. I3H is seeking a skilled Data Analyst to join our multi-disciplinary team. Under the supervision of a Senior Data Analyst, and in collaboration with other programmers, immunologists and technicians, the employee will develop, maintain and deploy analysis pipelines that produce actionable insights from the large-scale datasets generated by the Institute. Prior experience with immunology assays such as single-cell cytometry is not required, but it is expected that familiarity and fluency with these data modalities and their biological interpretation will be developed over time. Job Description Job Description: The multidisciplinary team at the Institute for Immunology and Immune Health is looking for a self-motivated, detail-oriented data analyst who will work with a team of programmers, immunologists, and clinicians to support day-to-day operations and analytics pipeline development. The ideal candidate is passionate about both exploratory and production level data analysis and is interested in developing a common language with the immunologists, clinicians, and wet bench scientists whom the analytics effort supports. Develop a detailed understanding of existing pipelines for quality control, analysis and interpretation of immunological data, and deploy them to new data that Immune Health is continuously generating Contribute code to new pipelines and functionalities Prepare results in written, tabular and graphical summaries, to help stakeholders make decisions and support publications Communicate frequently with the team to ensure that the computational work reflects biological and clinical goals. This includes generating reports tracking projects' progress. Be flexible and adapt workflows to shifting priorities and requirements Qualifications BA/BS in computer science or a quantitative discipline with at least 2-3 years of experience in data analysis, or equivalent combination of education and experience. Experience with data wrangling and analytics in R Good understanding of data structures and algorithms Ability to communicate clearly and concisely, including written documentation and data visualization Interest in developing a basic fluency in the assays and data types used for immunology research Preferred: Experience with Python, C++ or the command line Experience working with single-cell cytometry, transcriptomics, genomics or related biological data Position is contingent upon continued funding. Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $61,000.00 - $73,581.00 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 . click apply for full job details

Neuromuscular Research Data Analyst School of Medicine, Stanford, California, United States Information Analytics Nov 12, 2025 Post Date 107725 Requisition # Do you want to help Stanford University find better ways to measure strength, function and health for individuals with Neuromuscular Disease including Muscular Dystrophies, Spinal Muscular Atrophy, Amyotrophic Lateral Sclerosis, Inherited Neuropathies, and other conditions? If you Enjoy working directly with patients and their families in clinic and at research visits. Are excited to work with people affected by neuromuscular disorders. Are excited to work with clinicians, scientists, engineers and research associates. Are exceptionally organized and can balance multiple projects at one time. Have excellent time management and can meet deadlines. Work well in a dynamic team utilizing novel technologies to integrate knowledge and answer research questions. Enjoy learning new skills. Enjoy translating data to address research gaps. Then we offer The opportunity to work in a collaborative team of neuromuscular investigators. The chance to contribute to describing and understanding the impact of treatments in neuromuscular disorders. Exciting and positive environment where you will always learn new things. Teamwork and camaraderie. Competitive full time salary. Excellent Stanford benefits. The Neuromuscular Division of Neurology is seeking a Research Data Analyst (RDA), with clinical data management experience to utilize knowledge from research tools to conduct and analyze research data assuring efficiency and regulatory compliance; collect, compile and perform statistical analysis, data reports and management. The division is eager to determine novel approaches towards quantifying movement through wearable and video technology and develop novel methods of analyzing MRI data to better characterize disease health for individuals with neuromuscular disease. As disease modifying treatments become available in neuromuscular diseases, we are researching novel approaches to better quantify movement and complement current clinical practice working alongside other professionals in radiology, cardiovascular health, and engineering. This position focuses on clinical data management and primarily focuses on supporting the labs clinical data collection systems. One would expect to be using REDCap database design and form creation regularly while also aligning with administrative and research data governance politics. A successful candidate would serve as the primary data manager for multiple clinical research studies, ensuring data integrity, regulatory compliance, and efficient data flow from collection through analysis. Learning SQL or having experience with Google Cloud would be preferred. Projects involve working with both pediatric and adults with neuromuscular diseases in both a lab and clinical environment. There are opportunities for long-term growth within the team with the ability to gain critical skillsets for a career in biomedical sciences. These studies will be conducted at the Stanford University Medical Center. Interested candidates should include a CV and Cover Letter addressing how your education and experience relates to the position described above. Duties include : Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. 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. Collaborate with faculty and research staff on data collection and analysis methods. Communicate with government officials, grant agencies and industry representatives. Design, develop, and maintain REDCap databases. Data Compliance. - Other duties may also be assigned. DESIRED QUALIFICATIONS: 1-2 years experience in acquiring and/or processing data signals that requires a high level of technical skill and attention to detail. Proficiency with basic programming and scripts (for example, using R, python, MATLAB, SQL). Strong general computer skills and ability to quickly learn and master computer programs. Experience in data science with applied statistics, visual and communicating data. Proficiency with Microsoft Office, Word, Excel and various industry-oriented electronic data capture programs. Experience with database, data management, REDCAP, IRB requirements and the Stanford clinical research environment highly desirable. Ability to work both independently and as part of a diverse multidisciplinary team in a collaborative manner. Ability to determine workload priorities in an appropriate way to accomplish tasks and goals, meet deadlines. Takes initiative with good problem solving skills to anticipate and solve problems. Experience working with patients in a clinic or research setting. Strong analytical skill. Good oral and written communication skills to effectively work and publish data with clinicians and researchers. Excellent organizational skills and attention to detail in maintaining accurate, retrievable records. EDUCATION & EXPERIENCE (REQUIRED): 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 (REQUIRED): Understanding of HIPAA, and GCP guidelines. Substantial experience with MS Office and analytical programs. Strong writing and analytical skills. Ability to prioritize workload; efficient utilization of time management. PHYSICAL REQUIREMENTS : Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40 pounds. Rarely kneel, crawl, climb ladders, grasp forcefully, sort and file paperwork or parts, rarely lift, carry, push, and pull objects that weigh 40 pounds or more. Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. - 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. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. Occasional evening and weekend hours. 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 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 by submitting 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. 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 . 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

Research Data Analyst 2 School of Medicine, Stanford, California, United States NewInformation Analytics 6 days ago Post Date 107867 Requisition # Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. Stanford University is one of the world's most renowned universities.Sitting in the heart of the San Francisco Bay Area among the valley's most progressive companies. The Department of Pathology at Stanford School of Medicine, one of its founding departments, stands as a leader among its peers nationwide. Our preeminent faculty spans from emerging leaders to highly accomplished physicians and scientists, including a Nobel laureate and members of the National Academy. Our mission is to improve the diagnosis, treatment, and basic understanding of the human disease.This is done through discovery (research), education, and clinical care. You will be working with an unparalleled leading-edge community of faculty and staff that are fundamentally changing the world of health care. You will have the opportunity to influence and drive change with your innovative ideas, the ability to make a difference and participate in human advancements.Our culture is fast-paced, energetic, and growing all of the time. We offer a variety of benefits beyond traditional medical, dental, retirement, and savings options: Events and program for children, sports camps, tuition options World-class intellectual stimulation through learning and development classes, workshops, and onsite conferences from leading-edge speakers and faculty Work/life and family-friendly policies and reimbursement Participation in Stanford's social responsibility and sustainable programs for a better world A vibrant university culture that values the uniqueness of each individual We are seeking candidates who are progressive thinkers, see challenges as simply problems to solve, and have the spirit and energy to change the world. About the Department of Pathology: Comprised of extraordinary faculty and staff, our mission is to improve the ability to diagnose, treat and understand the origin and manifestation of human disease, and to care for those who have or are at risk to develop disease.We accomplish this through our clinical services (in all fields of anatomic and clinical pathology, including molecular and genomic pathology, histocompatibility testing and transfusion medicine) and be research (which includes basic, translational and clinical research into the origins and manifestations of disease, including efforts to improve disease prediction and prevention as part of the goal of achieving precision medicine and health), and also by educating future leaders in pathology and related fields.Everything we do is to achieve the goals of providing the highest quality of clinical services to the patients for whom we passionately care, to advance our ability to understand, diagnose, monitor and ultimately to cure disease or to prevent or delay its occurrence, and to provide outstanding education and career development opportunities to those who share these goals. For more information about the department visit: About the Sean N. Parker Center: The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is the first of its kind, dedicated to advancing treatments and discovering underlying immune mechanisms to develop lasting cures for allergies and asthma in both children and adults. Our interdisciplinary team of leading scientists, physician-scientists, and specialists from fields such as immunology, gastroenterology, otolaryngology, chemistry, bioengineering, pathology, pulmonology, and genetics collaborates on cutting-edge research aimed at understanding immune dysfunctions that lead to allergic reactions. As a global leader in allergy research, our Center works collaboratively with researchers worldwide, sharing data through an interlinked network of satellite centers to conduct innovative clinical trials. Our research efforts extend beyond allergies and asthma to encompass a range of immune-related disorders, including eczema, food allergies, eosinophilic conditions, drug allergies, and gastrointestinal diseases. Through laboratory and computational research, clinical trials, and community outreach, we are committed to developing rational, evidence-based therapies that provide the safest and most effective treatments for patients. By combining innovative science with compassionate care, we strive to transform lives at both local and global levels. About the Position: The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. At the Sean N. Parker Center for Allergy and Asthma Research, the world's leading scientists, physician scientists, and research teams come together to study and understand the molecular underpinnings of allergies and asthma. We are committed to finding causes, treatments, and cures for allergies and asthma, and bringing these to children, adults, and their families at local and global levels. Transforming lives with innovative science and compassionate care. Duties include: Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. Assist with the design of data collection instruments and statistical analysis plans under the supervision of research data manager and a senior biostatistician Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Test prototype software and participate in approval and release process for new software. Provide documentation based on audit and reporting criteria to investigators and research staff 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. Desired Qualifications: Proficient understanding of statistical concepts and analytical techniques used in clinical and translational research Experience in a quantitative discipline such as economics, finance, statistics or engineering. Extremely comfortable with computers and quick to learn new software REDCap experience (data entry, building REDCap forms, organizing REDCap surveys, etc.) or iMedidata experience Able to work independently and heavily multi-task Good communication skills Experience in project and/or database management Ability to understand and work with large and complex data sets - QA/QC, data cleaning, and multi-variate reporting Advanced knowledge of programming Clinical/medical terminology Database experience (e.g. MySQL, Oracle) Master's degree or higher or a combination of education and relevant experience. Many years of Experience in a quantitative discipline such as biology, laboratory, statistics or engineering. Education & Experiences (Required): Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills, and Abilities (Required): Proficient in at least one of R, SAS, SPSS, or STATA. Skills in descriptive analysis, modeling of data, and graphic interfaces. Substantial experience with MS Office and analytical programs. Excellent writing and analytical skills. Ability to prioritize workload. Physical Requirements : Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. - 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. Working Conditions: Some work may be performed in a laboratory or field setting. The expected pay range for this position is $108,002 to $128,138 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire . click apply for full job details

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 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

Research Operations Coord Job ID: 279509 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 10,500 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 College/Department Information The Georgia Cancer Center is on a mission for providing industry-leading cancer research and care that benefits patients locally and globally. Our ultimate goal is to eradicate cancer and we are proudly making progress every day. When we say patient care is a priority, we mean it. We assemble custom teams of field experts to address each individual's unique needs. The research and innovations developed at the Georgia Cancer Center ultimately influence the global network of cancer care. Our team fights for far more than just Georgians. The learnings achieved through the care of local patients has wide-reaching implications for creating tomorrow's standard of cancer care. Through facilitating first-in-the-nation trials and growing a depth of understanding only available through a multidisciplinary approach, the Georgia Cancer Center team is equipped to deliver treatment advancements that will be applied in facilities across the world. The team offers a proving ground that paves the way for patients in other areas to have access to new options. Job Summary The Research Operations Coordinator is responsible for mediating the operations of the GCC Biorepository, including maintaining adequate reagent and instrument inventory, supporting the administrative functions for BRAG-Onc and regulatory protocols in the biorepository and interface with the IRB and other regulatory entities to maintain regulatory compliance. Responsibilities Responsibilities include, but are not limited to: ADMINISTRATIVE MANAGEMENT: Supervise dedicated and ancillary biorepository personnel in general biorepository functions. Orient and direct staff in acquiring, registering, de-identifying, storing, tracking and re-distributing biospecimens (blood, tumors or other tissues and their derivative products) to faculty investigators who conduct IRB-approved biomedical research. Work effectively with other members of the biorepository team and ancillary lab personnel. Liaise with staff in other laboratories and other research core facilities, research scientists and administrators to promote efficient, safe biorepository function that complies with all relevant regulatory procedures with special emphasis on environmental and laboratory safety. To coordinate specimen request applications to TTBRC and communication with PRMC. DATABASE COLLECTION: Oversee the collection of clinical information and its entry into appropriate databases. Maintain patient confidentiality and act as honest broker for the Biorepository IRB. These duties include team-based support for implementation of new informatics resources and interface software applications. IRBNET-STUDY COORDINATOR: As IRBNet-Study Coordinator, handle all IRB issues for studies 611107 Tissue, 611132 Bone Marrow for Tumor Bank, CDC Sickle Cell study and Covid19 study. Submit submissions to IRB (renewal of studies, adding or deleting new personnel) and maintain Regulatory binders. BRAG-ONC PROCESS CONTROL: To interface with counterparts at BRAG-Onc sites and assist with process control at BRAG-Onc sites. These duties include assist external BRAG-Onc member sites with consent, procurement, and shipment of annotated samples to the central BRAG-Onc repository at AU. SPECIMEN TRACKING: Track donor consents, making sure all specimens distributed have a corresponding consent. Working with CTO on getting consents for donors. Updating Clinical trial binders and Biorepository study binders. Scanning & filing all BRAG-Onc & MCG consents and pathology reports. Shipping originals to Augusta Data Storage. Invoice for specimen distribution, use of Aperio Versa slide scanner and Vectra3 slide scanning for researchers thru ILAB and regular invoicing. OTHER DUTIES: Oversee the maintenance and handling of the GCC Biorepository golf cart, including interfacing with staff needing assistance with transportation needs. Required Qualifications Bachelor's degree from an accredited college or university along with experience in research. Knowledge, Skills, & Abilities Ability to maintain confidentiality. Excellent interpersonal, written, and verbal communication skills. Detail-oriented with strong organizational and critical thinking skills. Proficient in Microsoft Office and other computer software/databases. Shift/Salary/Benefits Pay Band: B10 Salary Minimum: $52,500 - $58,146 Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position Recruitment Period: 12/6/24 - 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! Search Job Opening ID: 279509 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

Bioinformatics Engineer II (18 Month Fixed-Term) (Hybrid Opportunity) School of Medicine, Stanford, California, United States Information Analytics Oct 14, 2025 Post Date 107526 Requisition # The Department of Medicine , Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer II to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Ashley's research focuses on applying genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Wheeler's research centers on integrating large-scale molecular and clinical data to understand the genetic basis of diseases and to develop novel therapeutic strategies. In this role, you will focus on genome, epigenome, and transcriptome (GET) analyses (specifically WGS, ATAC-seq, and RNA-seq) running the pipelines and tools that convert raw sequencing data into clean, analysis-ready results for the consortium. You will architect and operate scalable workflows that adhere to best practices, including WGS variant calling and joint genotyping, RNA-seq quantification and differential expression, and ATAC-seq peak calling and differential accessibility. You will adapt rigorous QC frameworks across modalities; produce integrated multi-omics analyses (e.g., linking genetic variation, chromatin accessibility, and gene expression through eQTL/caQTL/colocalization); and deliver clear visualizations, genome browser tracks, and interactive dashboards that enable collaborative interpretation across teams. Your work will span data engineering and software development: building reproducible pipelines with Nextflow and/or WDL/Cromwell, containerizing and testing them for reliable deployment on cloud and HPC environments; leveraging GCP services such as Cloud Storage and BigQuery; and designing robust schemas for omics metadata and results. You will apply software engineering best practices (version control, code review, automated testing, and documentation) while implementing data governance aligned with FAIR principles and secure handling of controlled-access human genomic data. As a key contributor to our public-facing portal ( ), you will help push the boundaries of biomedical data analytics to accelerate discovery and translation. You will collaborate closely with wet-lab scientists, clinicians, and data engineers to translate biological questions into robust computational analyses and to communicate findings in reports, presentations, and publications. Working within our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. This is an 18-month fixed term position. This is a hybrid eligible position. Why Join Us? Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health. Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases. Enjoy a collaborative and stimulating work environment at one of the top universities in the world. If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include: Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. Determine additional data collection and reporting requirements. Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Test prototype software and participate in approval and release process for new software. Provide documentation based on audit and reporting criteria to investigators and research staff. DESIRED QUALIFICATIONS: Transcriptomics and Gene Expression Analysis: Comprehensive RNA-seq workflows including read alignment (STAR, HISAT2), quantification (Salmon, Kallisto), QC (FastQC, MultiQC, RSeQC, Picard), normalization and differential expression (DESeq2, edgeR, limma), and pathway enrichment. Isoform analysis (StringTie) and fusion detection (STAR-Fusion) are a plus. Advanced Genomics Data Analysis Expertise: Extensive experience with WGS data from raw FASTQ through variant calling, joint genotyping, annotation, cohort-level QC, and interpretation. Proficiency with BWA-MEM/BWA, GATK Best Practices (BQSR, HaplotypeCaller, joint calling, VQSR), DeepVariant, bcftools, and scalable VCF/BCF/CRAM handling. Structural and Copy Number Variation: Experience with SV/CNV calling and QC (e.g., Manta, Delly, LUMPY, CNVnator), sample-level QC (coverage, duplication, contamination via VerifyBamID/Peddy/Somalier), and cohort metrics (Ti/Tv, call rate, Hardy-Weinberg). Epigenomics and Chromatin Accessibility Analysis: Expertise in ATAC-seq processing and analysis, including alignment (BWA/Bowtie2), Tn5 shifting, peak calling (MACS2), replicate concordance (IDR), QC metrics (FRiP, TSS enrichment, nucleosome signal), differential accessibility (DiffBind/DESeq2), footprinting (HINT-ATAC), motif enrichment (HOMER/MEME), and browser tracks (bigWig/bigBed for IGV/UCSC). Regulatory element annotation using ENCODE/Roadmap resources. Multi-omics Data Integration: Experience integrating WGS, ATAC-seq, and RNA-seq to identify regulatory relationships (eQTL/aseQTL/caQTL, colocalization), linking chromatin accessibility to gene expression and variant effects. Advanced Python and R for Genomics: Deep proficiency in Python and R/Bioconductor with strong statistical and reproducible analysis skills. Genomics Workflow Development: Proven experience designing, testing, and deploying complex workflows using Nextflow and/or WDL/Cromwell (or Snakemake) in cloud or HPC environments, with containerization (Docker, Singularity) and CI/CD for reproducibility. Specialized Cloud and Database Skills: Hands-on experience with GCP (Cloud Storage, BigQuery), and genomics platforms (Terra, AnVIL). SQL skills and experience designing schemas for omics metadata/results; familiarity with gnomAD, ClinVar, Ensembl/RefSeq, dbSNP, UCSC. Genome Browser and Visualization Expertise: Proficiency creating custom track hubs and sessions for IGV/UCSC; ability to produce publication-quality visualizations and interactive dashboards for large-scale genomics data. Software Engineering Best Practices: Version control (Git/GitHub), code review, issue tracking, semantic versioning, packaging (setuptools/Poetry), automated testing (pytest), and comprehensive documentation (Sphinx/MkDocs). Data Governance and FAIR Principles: Demonstrated experience with data lineage, provenance, audit trails, and adherence to FAIR; secure handling of controlled-access human genomic data (HIPAA/IRB compliance, DUAs), and submissions to dbGaP/GEO/SRA. Cross-functional Collaboration and Communication: Proven ability to work with wet-lab scientists, clinicians, and data engineers to translate biological questions into robust, actionable computational analyses. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Substantial experience with MS Office and analytical programs. Excellent writing and analytical skills. Ability to prioritize workload. CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS : Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORKING 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 . 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.

BRG is an Equal Employment Opportunity/Affirmative Action Employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Position Title: Healthcare Clinical Documentation Integrity (CDI) Consultant Location: Remote - USA Position Type: Full time Requisition ID: JR100370 Description: We do Consulting Differently BRG's Clinical Economics and Healthcare Performance Improvement practices currently have several openings for CDI experts to join our team at the Consultant or Managing Consultant level. This position requires a highly motivated problem solver with strong analytical ability and a desire to advance within the organization. An individual with an entrepreneurial spirit and an ability to apply creative solutions is a natural fit for this position. The Consultant/Managing Consultant is an integral part of the CDI team and works closely with the client's CDI team, supporting classroom education and mentoring. They are responsible for ensuring the successful transfer of CDI best practices from the consulting team to the client team. The Consultant/Managing Consultant also facilitates accurate documentation for severity of illness (SOI) and quality in the medical record, which involves extensive record review and interaction with physicians, health information management professionals, coding professionals, and nursing staff. Job title and compensation will be determined based on qualifications and experience. We are hiring for several roles at a variety of levels. If you are a CDI professional and do not meet all of the listed criteria, we still encourage you to apply. Flexibility for travel (50-75%) is required for this position. Travel volume is dependent on project and client needs. Responsibilities: Demonstrate extensive knowledge of clinical documentation requirements and coding guidelines applicable to inpatient care and outpatient care settings. Review inpatient medical records for identified payer populations on admission and throughout hospitalization. Provide input for complete and accurate client deliverables and make valuable contributions as a team member to expert reports. Analyze clinical information to identify areas within the chart for potential gaps in physician documentation. Formulate credible clinical documentation clarifications to improve clinical documentation of principal diagnosis, co-morbidities, present on admission (POA), quality measures, and patient safety indicators (PSI). Facilitate modifications to clinical documentation through extensive interaction with physicians, nurses, and ancillary staff. Work collaboratively with the coding staff to assure documentation of discharge diagnoses and comorbidities are a complete reflection of the patient's clinical status and care. Develop and implement plans for education of physician, nursing, and ancillary staff on documentation improvement. Provide Interim CDS support per client need. Requirements: A Bachelor's degree in a related discipline is required, preferably RN, BSN, or Health Information Management. A minimum of 4 years of experience as a Clinical Documentation Improvement Specialist (CDI) Specialist within a hospital setting, or as a CDI consultant, or a combination thereof, is required. Minimum 2 years of inpatient coding experience with ICD-10 CM/PCS preferred. CCDS, CCS, or CDIP Certification is required; RHIA, RHIT, CRC, or CPC certification is highly preferred. Possesses knowledge of DRG coding guidelines. Possess thorough understanding of the legal and compliance issues as they pertain to clinical documentation and coding. Prior experience and proficiency in Electronic Record systems such as Epic, Meditech, Cerner, 3M 360, or similar platforms. Proficiency in understanding and delivering education in All Patient Refined Diagnosis Related Group (APR DRG's). Experience in the delivery of CDI Education to clients regarding appropriate diagnoses for capturing accurate Severity of illness, Hierarchical Condition Category (HCC's) and Medicare Severity Diagnosis Related Group (MS DRG's) Prior experience in the review and analysis of health records to identify relevant diagnoses and procedures for distinct patient encounters. Ability to assist with the development of CDI and HIM training and consulting tools and methodologies. Excellent organizational, analytical, and writing skills, with the ability to demonstrate critical thinking and problem-solving. Strong verbal and written communication skills, with excellent public speaking and presentation abilities. Knowledge of regulatory guidelines and Medicare Part A, MS-DRG, and/or APR-DRG payment methodologies. Strong proficiency in MS Office applications, including Word, PowerPoint, Excel, and Outlook. Excellent time management skills and the ability to handle multiple priorities effectively. Consultant Salary Range: $70,000 - $150,000 per yearManaging Consultant Salary Range: $100,000 - $230,000 per year We're excited to offer a competitive signon bonus to welcome exceptional talent. Candidate must be able to submit verification of his/her legal right to work in the U.S., without company sponsorship. PM22 About BRG BRG combines world-leading academic credentials with world-tested business expertise purpose-built for agility and connectivity, which sets us apart-and gets you ahead. At BRG, our top-tier professionals include specialist consultants, industry experts, renowned academics, and leading-edge data scientists. Together, they bring a diversity of proven real-world experience to economics, disputes, and investigations; corporate finance; and performance improvement services that address the most complex challenges for organizations across the globe. Our unique structure nurtures the interdisciplinary relationships that give us the edge, laying the groundwork for more informed insights and more original, incisive thinking from diverse perspectives that, when paired with our global reach and resources, make us uniquely capable to address our clients' challenges. We get results because we know how to apply our thinking to your world. At BRG, we don't just show you what's possible. We're built to help you make it happen. BRG is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran status, ancestry, sexual orientation, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities Compensation details: 00 Yearly Salary PI34e80e9a840a-5913