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Location Address: 9521 San Mateo NE All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description. Albuquerque, NM Summary: Presbyterian Delivery System (PDS) seeks a dynamic, distinguished executive to serve as its next Associate Nursing Informatics Officer (ANIO). This is a pivotal, high-visibility leadership role designed for an expert who commands a deep understanding of advanced nursing practice and the sophisticated digital ecosystems required to support modern, high-reliability healthcare delivery. The ANIO serves as the primary strategic voice and executive liaison uniting Nursing Leadership, Medical Staff, Clinical Operations, and Information Systems (IS). In an era of rapid technological advancement, regulatory complexity, and clinical workforce challenges, the ANIO will ensure that health information technology is never a barrier to care, but rather an elegant, intuitive tool that empowers clinicians, safeguards patients, and drives operational excellence. This leadership opportunity arrives at a formative moment for PDS. The organization is actively refining its enterprise clinical workflows, maximizing its electronic health record capabilities, and modernizing its clinical governance frameworks. The ANIO will step into an ecosystem eager for collaborative transformation. By leading, mentoring, and expanding a high-performing team of Clinical Informatics Specialists, the successful candidate will directly shape how care is delivered across the entire Presbyterian Delivery System footprint. This role offers an exceptional platform to champion clinical quality, reduce administrative burden on frontline nurses, and design the future state of technology-enabled patient care. Job Description: Strategic Execution & Interface Collaborate with executive stakeholders to draft, refine, and execute a multi-year strategic road map for Nursing Informatics that directly mirrors the clinical and operational goals of PDS. Serve as the primary interpreter between technical IS analysts and practicing clinicians, translating complex technical architectures into intuitive, efficient workflows. Advise senior leadership on macro-level healthcare technology trends, federal regulatory mandates, and nursing informatics best practices to position PDS at the forefront of the industry. Personnel Leadership & Team Empowerment Provide visionary leadership, evaluation, performance management, and daily operational direction to the Clinical Informatics Specialist team. Build a continuous-learning culture within the informatics division, encouraging advanced certifications, data literacy, and clinical process-improvement capabilities. Define clear metrics, service level expectations, and project boundaries to guard the team against scope creep while optimizing their impact on clinical units. Workflow Engineering & Quality Preservation Organize and execute systematic, objective evaluations of clinical information systems, employing data analytics and direct clinical observations to isolate and fix broken user experiences. Apply rigorous nursing knowledge to core project design teams, ensuring user interface setups prioritize safety and clinical efficiency. Partner with quality, risk management, and regulatory compliance leaders to swiftly transform quality audit findings into real-time, system-enabled clinical practice updates. Vendor, Stakeholder & Emergency Coordination Cultivate and manage collaborative, accountable partnerships with electronic health record (EHR) vendors, communication platform providers, and medical device hardware partners. Lead technical-clinical core teams charged with deploying hardware and software updates, ensuring rigorous testing protocols prevent post-go-live clinical disruption. Formulate, govern, and audit clinical downtime workflows, training nursing units to safely navigate systems-offline scenarios without degrading patient safety or high-reliability metrics. Additional Job Description: Bachelors degree Current RN licensure 8 years of clinical informatics experience 5 years of nursing experience 2 years of leadership role in Clinical Informatics or related area Preferred Masters degree in Nursing, Informatics or related field Certification in Nursing Informatics or related field Epic Certification Benefits Benefits are effective day-one (for .45 FTE and above) and include: Competitive salaries Full medical, dental and vision insurance Flexible spending accounts (FSAs) Free wellness programs Paid time off (PTO) Retirement plans, including matching employer contributions Continuing education and career development opportunities Life insurance and short/long term disability programs About Us Presbyterian Healthcare Services is a locally owned, not-for-profit healthcare system of nine hospitals, a statewide health plan and a growing multi-specialty medical group. Founded in New Mexico in 1908, it is the state's largest private employer with approximately 11,000 employees. Presbyterian's story is really the story of the remarkable people who have chosen to work here. Starting with Reverend Cooper who began our journey in 1908, the hard work of thousands of physicians, employees, board members, and other volunteers brought Presbyterian from a tiny tuberculosis sanatorium to a statewide healthcare system, serving more than 700,000 New Mexicans. We are part of New Mexico's history - and committed to its future. That is why we will continue to work just as hard and care just as deeply to serve New Mexico for years to come. About New Mexico New Mexico's unique blend of Spanish, Mexican and Native American influences contribute to a culturally rich lifestyle. Add in Albuquerque's International Balloon Fiesta, Los Alamos' nuclear scientists, Roswell's visitors from outer space, and Santa Fe's artists, and you get an eclectic mix of people, places and experiences that make this state great. Cities in New Mexico are continually ranked among the nation's best places to work and live by Forbes magazine, Kiplinger's Personal Finance, and other corporate and government relocation managers like Worldwide ERC. New Mexico offers endless recreational opportunities to explore, and enjoy an active lifestyle. Venture off the beaten path, challenge your body in the elements, or open yourself up to the expansive sky. From hiking, golfing and biking to skiing, snowboarding and boating, it's all available among our beautiful wonders of the west. AA/EOE/VET/DISABLED. xibtplm PHS is a drug-free and tobacco-free employer with smoke free campuses.

Job Description Job Description Pulsed Power Technician (Junior to Senior Level) I-Pulse Albuquerque LLC We are seeking innovative technicians with expertise in commercial pulsed power, power electronics, control systems, or high-temperature applications. Candidates should have a background in high-voltage systems, mechanical or electromechanical assembly, or high-temperature packaging, along with experience in 3D CAD design and prototyping. Who We Are: I-Pulse Inc. is dedicated to empowering humanity through revolutionary pulsed-power solutions that address critical challenges. Our technology drives transformative, sustainable applications in energy-intensive industries such as mining, geothermal drilling, and other advanced fields, aiming to reduce global industrial power consumption. Our vision is to lead technological advancements that enhance everyday life and promote sustainable growth. I-Pulse Albuquerque is investing in R&D to pioneer new technologies and establish industry benchmarks in pulsed-power and electrical systems. By opening an office in Albuquerque, we are advancing our commitment to commercializing pulsed power. We seek creative individuals who can rapidly transform concepts into hardware and integrate them into commercial applications. Responsibilities Include: Collaborating with scientists, engineers, and designers to assemble and prototype hardware from concepts and designs. Building and testing prototypes. Integrating electronic subsystems and controls into high-voltage equipment. Modifying mechanical and electrical designs. Testing and evaluating prototypes in the field. Required Qualifications: Bachelor's degree in electromechanical design or a related field (other degrees or relevant experience considered). 5-10+ years of experience in pulsed-power projects, mechanical engineering, electronics, or high-temperature prototyping/packaging. Hands-on experience in research, development, or prototyping environments. Desired Qualifications: Proficiency with CAD tools for 3D hardware drawings for prototypes and test assemblies. Experience with high-temperature packaging for long-lifetime components. PCB design and advanced high-temperature, high-reliability electronic packaging skills. Ability to manage schedules and project costs. Experience documenting design changes, failures, and corrective actions. 15-20 years of experience in pulsed power, power electronics, or electromechanical design for government or industry. Prototype or commercial hardware design experience. Bachelor's degree or equivalent. Equal Opportunity Employer: I-Pulse Albuquerque, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. We offer competitive salaries and comprehensive benefits, including medical, dental, vision, 401(k), and PTO. Company Description I-Pulse Inc. is dedicated to empowering humanity through revolutionary pulsed-power solutions that address critical challenges. Our technology drives transformative, sustainable applications in energy-intensive industries such as mining, geothermal drilling, and other advanced fields, aiming to reduce global industrial power consumption. Our vision is to lead technological advancements that enhance everyday life and promote sustainable growth. I-Pulse Albuquerque is investing in R&D to pioneer new technologies and establish industry benchmarks in pulsed-power and electrical systems. By opening an office in Albuquerque, we are advancing our commitment to commercializing pulsed power. We seek creative individuals who can rapidly transform concepts into hardware and integrate them into commercial applications. Company Description I-Pulse Inc. is dedicated to empowering humanity through revolutionary pulsed-power solutions that address critical challenges. Our technology drives transformative, sustainable applications in energy-intensive industries such as mining, geothermal drilling, and other advanced fields, aiming to reduce global industrial power consumption. Our vision is to lead technological advancements that enhance everyday life and promote sustainable growth. I-Pulse Albuquerque is investing in R&D to pioneer new technologies and establish industry benchmarks in pulsed-power and electrical systems. By opening an office in Albuquerque, we are advancing our commitment to commercializing pulsed power. We seek creative individuals who can rapidly transform concepts into hardware and integrate them into commercial applications.

Job Description: What We're Doing Lockheed Martin is shaping the future of defense through cutting edge radar and missile defense technologies, and we want you to help write the next chapter. As the premier developer of active electronically scanned array (AESA) radars and integrated air and missile defense solutions for the U.S. military, our allies, and more than 45 nations worldwide, we deliver world class situational awareness, early warning, and kill assessment capabilities in the most demanding environments. Join a global team of engineers, software developers, and cyber experts who turn complex challenges into reliable, next generation systems that keep warfighters ahead of emerging threats. Your talent will power everything from space domain awareness to ground based radar testbeds, ensuring the safety of today's forces and the security of tomorrow's world. The Work Lockheed Martin Rotary & Mission Systems is seeking a full-time Lead Radar Signal Processing Systems Engineer. In this role, you will contribute to design, analysis, testing, and requirements verification of high performance Radar Signal Processor systems. The successful candidate will have experience and/or knowledge of Radar Signal Processing, Data Analysis, Algorithm Development, Modelling and Simulation Development, Software Verification and Model Based Systems Engineering. This position requires a U.S. DoD Security Clearance at the SECRET level. This position is located at a facility that requires special access. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicated to pushing the boundaries of what's possible. Why Join Us Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's comprehensive benefits package here! Explore some of the cutting edge technologies we support: Qualifications: - Bachelor's degree in Electrical/Computer Engineering or equivalent technical discipline - 5+ years of systems engineering experience - Experience with Radar and Radar Signal Processing - Experience with requirements development and algorithm development - Experience with Matlab Modeling and Simulation - Must be a US Citizen; this position will require a government security clearance.

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

Senior Flight Dynamics Engineer (5222C), Space Sciences Laboratory - 83690 About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley. Departmental Overview The Space Sciences Laboratory (SSL) is an Organized Research Unit (ORU) of the Berkeley campus reporting to the Vice Chancellor for Research. SSL's primary goal is to foster research in space-related sciences and to provide education for the next generation of space scientists. Research at SSL, led by Berkeley faculty and SSL Senior Fellows, focuses on experiments and observations carried out in space as well as theoretical and basic research. Position Summary The Mission Operations Team at the Space Sciences Lab operates multiple NASA science spacecraft now, and is funded to operate additional ones through this decade, and beyond. We currently operate spacecraft in Low Earth orbit, Lunar Orbit, at Earth-Sun Lagrange distance, and Mars, all AT THE SAME TIME. We are looking for a new Senior Flight Dynamics Engineer to help us with the essential products we need to (among other things) ensure that our spacecraft get to where they need, and maneuver as appropriate to collect science data for our important missions. The person we hire will provide spacecraft navigation and mission design for our existing and upcoming missions. You will work in a small and nimble team on multiple missions and proposals at once, and on a timescale where you will get to see your work's impact. Application Review Date The First Review Date for this job is: 01/27/2026. ResponsibilitiesProvides mission operations support for ongoing space missions. Generates and analyzes orbit and attitude determination solutions and mission planning products. Provides spacecraft maneuver planning, analysis, and calibration for missions with propulsive capabilities.Designs, develops, and evaluates complex flight dynamics and navigation systems used in the operations of national space science assets.Performs complex analysis on a variety of flight dynamic and orbital mechanics problems, including the definition of related mission requirements, for current and future space science missions.Collaborates with other aerospace engineering specialists, and outside collaborators, to develop and maintain the flight dynamics ground systems.Consults and collaborates with Principal Investigators (PIs) and other aerospace engineering specialists in the development of new mission concepts.Responds to spacecraft anomalies, from the perspective of the flight dynamics specialty, to assist in the investigation and recovery operations.Other duties as assigned.Required Qualifications Thorough skills in the design, development, and navigation of spacecraft trajectories. Demonstrated proficiency ("specialist") in at least two of the following: spacecraft navigation, trajectory determination, or mission design.Experienced user of either Mission Analysis, Operations, and Navigation Toolkit Environment (MONTE), General Mission Analysis Tool (GMAT), Copernicus, or other related mission design and trajectory analysis systems.Thorough knowledge of Python, MATLAB, LINUX, VS Code and GitLab.Past systems knowledge of other engineering specialties (e.g. Propulsion, Avionics, etc.) involved in the design and development of spacecraft. Demonstrated ability to communicate and present information to technical and nontechnical personnel at various levels in the organization. Must be able to travel up to 5% as needed for work events.Must be able to travel within the US to support in-person meetings and work on EAR programs.Advanced degree in related area and/or equivalent experience/training.Preferred Qualifications Experience with NASA missions.Proficiency InfluxDB and MySQL for data management and Grafana for building monitoring dashboards.Post-graduate level course work in related area. Salary & Benefits For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website. Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience. This is a full-time (40 hours/week), career position that is eligible for UC Benefits. This is an exempt monthly-paid position. How to ApplyTo apply, please submit your resume and cover letter.Other InformationThis position will be governed by the terms and conditions in the agreement for the Research and Public Service Professionals, represented by the UAW.This is not a visa opportunity. This position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.Conviction History Background This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check. SB 791 and AB 810 Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy Abusive Conduct in the Workplace Equal Employment Opportunity The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. To apply, visit Copyright 2025 Inc. All rights reserved. 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Job ID: 695377BR Date posted: Jan. 13, 2026 Description: Who We Are: Lockheed Martin RMS provides mission software for the United States Strategic Command (USSTRATCOM) Nuclear Deterrence Mission. Our amazing men and women are on a mission to make a difference in the world and keep our nation safe. We use our unique skills and experiences every day to create, design and build solutions to some of the world's hardest engineering problems. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers, AI Engineers, and Data Scientists executing engineering best practices, full-stack design patterns, and secure software and AI techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include development, design, and technical leadership for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Software Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers executing web development best practices, full-stack design patterns, and secure software techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Basic Qualifications: • Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 9 years of professional experience; or 7 years of professional experience with a related Masters degree. Considered an emerging authority. • Must be a US Citizen; this position will require a government security clearance. This position is located at a facility that requires special access • Experience with AI/ML: disciplines, domain programming languages (including Python), models, frameworks, and toolsets. • Experience analyzing domain problems and selecting and designing AI solutions. Desired Skills: • DevOps experience including CI/CD pipelines to build, test, deploy. • Experience with training deep neural networks and other AI algorithms • Experience with Java and JavaScript • Familiarity with high-performance computing • Familiarity interfacing with databases (Oracle, MongoDB) Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Artificial Intelligence Type: Full-Time Shift: First

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact . If you have questions while submitting an application, please review these frequently asked questions .Current Employees and Students:If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title:Post Doctoral Scholar - AI(X) HubDepartment:ERIK Artificial Intelligence Hub About the AI(X) Hub The Research Scientist will join the AI(X) Hub at the Enterprise for Research, Innovation and Knowledge (ERIK) of The Ohio State University ( ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and aims to unlock exponential possibilities by fusing AI with expertise across six strategic pillars: foundations, health, engineering and sciences, agriculture, cybersecurity, and trustworthy AI. Job Overview Conducts research and development efforts as a Post Doctoral Scholar at the AI(X) Hub. The postdoctoral researcher is expected to actively work with faculty members, research scientists, students, and industry and government partners. Responsibilities will include helping to chart new exciting directions for the Hub, working with domain experts, helping with proposal writing, and other reporting requirements. Required Qualifications Ph.D. in Electrical and Computer Engineering, Computer Science Engineering, Biomedical Engineering, Integrated Systems Engineering, Mathematics, Statistics, or equivalent terminal degree with deep knowledge of Artificial Intelligence and Machine Learning. Desired Qualifications Ability to help create scalable Artificial Intelligence workflows. Experience in working with inter-disciplinary research groups. How to Apply Interested candidates must attach the following materials to their application to be considered for this role: Cover letter Curriculum Vitae (CV) or resume Additional Information: The pay range for this position is $62,000 - $65,000. The offer for this position may fall within this range based on the selected candidate's skills, experience, and education; salary equity assessments; and the unit's budget. ERIK Overview: Join the Enterprise for Research, Innovation and Knowledge (ERIK) at The Ohio State University and become a part of a dynamic, forward-thinking team dedicated to pushing the boundaries of discovery and innovation. ERIK positions Ohio State to expand curiosity-driven research and creative expression, further develop our research community of faculty, staff, and students, and grow the innovation ecosystem to address big challenges and improve communities locally and globally. We are seeking passionate individuals who are committed to making a meaningful impact through collaboration, innovation, and excellence. To learn more about our mission and work, please visit AI(X) Hub Overview The new AI(X) Hub at the Ohio State University is designed to bring researchers, entrepreneurs and industry leaders to develop and use artificial intelligence in novel ways to drive innovation and accelerate discovery and successfully compete for large multidisciplinary projects. The goals of the Hub are to be (i) a cutting-edge resource for collaborative research with expertise across virtually every AI/ML domain; build a scalable shared infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing and curated datasets; accelerate collaboration between researchers, entrepreneurs, and industry leaders to streamline the path from discovery to deployment, bringing ideas from the lab into the real world. Location:Pomerene Hall (0067)Position Type:Term (Fixed Term)Scheduled Hours:40Shift:First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation, gender identity or gender expression.

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact . If you have questions while submitting an application, please review these frequently asked questions .Current Employees and Students:If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title:Post Doctoral Scholar - AI for HealthDepartment:ERIK Artificial Intelligence Hub About the AI(X) Hub The Research Scientist will join the AI(X) Hub at the Enterprise for Research, Innovation and Knowledge (ERIK) of The Ohio State University ( ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and aims to unlock exponential possibilities by fusing AI with expertise across six strategic pillars: foundations, health, engineering and sciences, agriculture, cybersecurity, and trustworthy AI. Job Overview Conducts research and development efforts as a Post Doctoral Scholar at the AI(X) Hub. The postdoctoral researcher is expected to actively work with faculty members, research scientists, students, and industry and government partners. Responsibilities will include helping to chart exciting new directions for the Hub, working with domain experts, helping with proposal writing, and other reporting requirements on AI for Health research and projects. Required Qualifications Ph.D. in Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Integrated Systems Engineering, Physics, or equivalent computing-centric disciplines with demonstrated experience in health sciences. Inter-disciplinary research experience with a focus on health sciences and biomedicine and artificial intelligence (including machine learning). Desired Qualifications Publications in health sciences and biomedical journals. Demonstrable interdisciplinary research experience. Deep understanding of machine learning (ML) methods along with other classical computational and statistical tools. Experience of deploying ML workflows at scale on high-performance computing clusters. Extensive biomedical and health sciences knowledge. Experience in grant writing and development for health-related opportunities. How to Apply Interested candidates must attach the following materials to their application to be considered for this role: Cover letter Curriculum Vitae (CV) or resume Additional Information: The pay range for this position is $62,000 - $65,000. The offer for this position will fall within this range based on the selected candidate's skills, experience, and education; salary equity assessments; and the unit's budget. ERIK Overview: Join the Enterprise for Research, Innovation and Knowledge (ERIK) at The Ohio State University and become a part of a dynamic, forward-thinking team dedicated to pushing the boundaries of discovery and innovation. ERIK positions Ohio State to expand curiosity-driven research and creative expression, further develop our research community of faculty, staff, and students, and grow the innovation ecosystem to address big challenges and improve communities locally and globally. We are seeking passionate individuals who are committed to making a meaningful impact through collaboration, innovation, and excellence. To learn more about our mission and work, please visit AI(X) Hub Overview The new AI(X) Hub at the Ohio State University is designed to bring researchers, entrepreneurs and industry leaders to develop and use artificial intelligence in novel ways to drive innovation and accelerate discovery and successfully compete for large multidisciplinary projects. The goals of the Hub are to be (i) a cutting-edge resource for collaborative research with expertise across virtually every AI/ML domain; build a scalable shared infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing and curated datasets; accelerate collaboration between researchers, entrepreneurs, and industry leaders to streamline the path from discovery to deployment, bringing ideas from the lab into the real world. Location:Pomerene Hall (0067)Position Type:Term (Fixed Term)Scheduled Hours:40Shift:First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation, gender identity or gender expression.

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.

Category:: Faculty Subscribe:: Department:: Watson College of Engineering and Applied Science Locations:: Binghamton, NY Posted:: Dec 3, 2025 Closes:: Open Until Filled Type:: Full-time Ref. No.:: 1195 Position ID:: 195278 About Binghamton University: Binghamton University is a premier public R1 research institution in the State University of New York (SUNY) system that unites more than 130 broadly interdisciplinary educational programs with some of the most vibrant research in the nation. Our unique character - shaped by our mission, outstanding academics, facilities, and community life - promotes extraordinary student success, research, and service; Binghamton University is where our students, faculty and staff thrive. Working at Binghamton University is more than about having a great job - it is about having the opportunity to flourish in an exciting, engaging environment. Our faculty and staff appreciate Binghamton's collegial and inclusive culture and its commitment to excellence, education, innovation, and civic engagement. Our diverse campus community contributes to our success. Binghamton merges rigorous academics, distinguished faculty who value cutting-edge, and community-engaged research, teaching and service, exceptional staff, and ultramodern facilities to engage and challenge its 18,000+ students. Our high-achieving student body represents diverse experiences from first-generation college-goers to international students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration, and community service. Job Description: Binghamton University is nationally recognized for its leadership in microelectronic systems, semiconductors, and advanced packaging, leveraging a comprehensive ecosystem of research centers, state-of-the-art facilities, and industry partnerships. The Small Scale Systems Integration and Packaging (S3IP) center at Binghamton is a New York State Center of Excellence that houses multiple specialized centers, including the Center for Heterogeneous Integration Research in Packaging (CHIRP), Center for Advanced Microelectronics Manufacturing (CAMM), Integrated Electronics Engineering Center (IEEC), Energy Smart Electronic Systems (ES2) center, and Analytical and Diagnostic Laboratory (ADL). Our faculty members and scientists conduct sponsored research in advanced packaging, heterogeneous integration, semiconductor manufacturing and materials, flexible electronics, energy efficient electronics, and process optimization, among others. Since 1996, their research efforts have generated over $1.9 billion in economic impact for New York State, supported by collaborations with over 75 companies, including IBM, AMD, NVIDIA, Google, Intel, General Electric, Lockheed Martin, and GlobalFoundries. The Thomas J. Watson College of Engineering and Applied Science at Binghamton University invites applications from experts in Microelectronics for a tenured faculty position at the Full Professor level. This position will carry the title of Professor of Empire Innovation, and is supported in part by SUNY's Empire Innovation Program (EIP), a key initiative to recruit and retain faculty with an established track record of research and scholarship in areas of strategic priority. We are seeking a well-established expert who has a track record of leadership in funded research and scholarship in one or more areas of Microelectronics, including: Codesign for Heterogeneous Integration/Advanced Packaging: (a) EDA tools for chiplet integration or chiplet system design, including applied AI/ML techniques for microelectronics co-design, and (b) modeling for co-design with crosscutting considerations of the chiplet system architecture, thermal and mechanical issues, materials and reliability Digital Twinning for Semiconductor Manufacturing and Packaging (SMP): Process optimizations for SMP across lithography, device and chiplet fabrication, chiplet integration/assembly, material choices and materials synthesis for improving manufacturing yield Semiconductor Lifecycle Impact Reduction: Sustainable microelectronics manufacturing across the entire product lifecycle using use of eco-friendly materials, minimizing the use of hazardous chemicals (e.g., PFAS), energy-efficient processes, circular economy models, utilizing lifecycle assessment tools, and end-of-life microelectronics waste planning and management As a Professor of Empire Innovation, the successful candidate must have an established record of securing funding from federal/state agencies and industry. They will be expected to lead in pursuing large funding opportunities from federal and state agencies besides industry partners and enhance the collaborative research ecosystem involving multiple campus units across Binghamton University. The successful hire would also help recruit and attract top talent to complement existing strengths. Depending on the specialization and match, the successful candidate could be a tenured faculty in the Electrical and Computer Engineering (ECE) Department, the Mechanical Engineering (ME) Department, the School of Computing (CS), or the School of System Science and Industrial Engineering (SSIE). The successful candidate will receive a comprehensive startup package including competitive salary compensation and benefits commensurate with qualifications and experience. Requirements: A doctoral degree in Engineering, Computer Science, or a closely related discipline Proven record of research leadership in cross-cutting multi-institutional collaborative teams Proven record of sponsored research funding from federal and state agencies Proven record of peer-reviewed high-impact publications Experience as an educator and research mentor at the undergraduate and/or graduate level Preferred: Significant scholarly work and contributions within one or more of the focus areas of: Codesign for Heterogeneous Integration/Advanced Packaging Digital Twinning for Semiconductor Manufacturing and Packaging Semiconductor Lifecycle Impact Reduction. Potential for leading multi-disciplinary research in Microelectronics across different departments and schools of Watson College. Please be advised that H1B visa sponsorship may not be available for this position. Additional Information: Binghamton University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact the ADA Coordinator by completing the following Request Form . The State University of New York is an Equal Opportunity/Affirmative Action Employer. It is the policy of Binghamton University to provide for and promote equal opportunity employment, compensation, and other terms and conditions of employment without discrimination on the basis of age, race, color, religion, disability, national origin, gender identity or expression, sexual orientation, veteran or military service member status, marital status, domestic violence victim status, genetic predisposition or carrier status, or arrest and/or criminal conviction record unless based upon a bona fide occupational qualification or other exception. As required by title IX and its implementing regulations, Binghamton University does not discriminate on the basis of sex in the educational programs and activities which it operates. This requirement extends to employment and admission. Inquiries about sex discrimination may be directed to the University Title IX Coordinator or directly to the Office of Civil Rights (OCR). Contact information for the Title IX Coordinator and OCR, as well as the University's complete Non-Discrimination Notice may be found here. Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at or via email at . Binghamton University is a tobacco-free campus effective August 1, 2017. Offers of employment will be contingent upon successful completion of a pre-employment background check and verification of degree(s) and credentials. Application Instructions: All applicants must apply via Interview Exchange: Review of applications will begin immediately and continue until the vacancy is filled. After filling out contact information, you will be directed to an upload page where you must submit: a cover letter, a curriculum vitae, a statement of research interests, a statement of teaching interests, a diversity statement, and names and contact information of three references. Deadline for Applicants: Open until filled. To check/edit your profile or to upload additional documents, please log into

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

Program Analyst (7398) Job 82113 - Berkeley Institute for Data Science (BIDS) About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley. Departmental Overview The Berkeley Institute for Data Science (BIDS - ) was founded in 2013 to build on Berkeley's strength in data science with a multidisciplinary emphasis. BIDS aims to facilitate and enhance the development and application of cutting-edge data science techniques in the biological, physical, social, and engineering sciences. Today, BIDS is part of the new College of Computing, Data Science and Society (CDSS), where it serves as a hub for interdisciplinary research, tool development, and exchange of ideas between methodologies in computing, statistics, and AI. BIDS connects with domain experts from across the entire disciplinary spectrum on campus, and hosts collaborations with local and national partners, including Lawrence Berkeley National Lab and NASA, within the unique intellectual ecosystem of Berkeley. As CDSS further advances UC Berkeley's eminence in Data Science research and education, BIDS serves as a central hub connecting scholars on campus, as well as reaching out to other Berkeley institutions, including LBNL, the Simons Laufer Mathematical Sciences Institute, the Space Sciences Laboratory, the International Computer Science Institute, and the SkyDeck Startup Incubator. BIDS' expertise in open-source tool development and open science makes it an ideal place to be a home for communities of practice around open knowledge, at a time when both open-source software is becoming the norm for research computing and when open science ideas are becoming part of national science policies across multiple agencies. From this perspective, BIDS will help scholars from different fields to find shared needs, interests, and ideas and build new collaborations. BIDS also aims to foster conversations regarding the role of Science and Society in the development of new tools and systems for AI. As a discipline-neutral environment, it will provide open space for emerging work ranging from the representation of scientific knowledge in AI models and the use of AI as a scientific instrument, to explorations with social scientists and humanists of questions at the intersection of the human experience, our social context, and the role of AI in our lives. Reporting to the Assistant Dean for Interdisciplinary Initiatives, the Program Analyst manages a wide variety of analyses, strategies, and implementations to support the development and success of interdisciplinary initiatives in CDSS. The PA works closely with members of the Dean's Cabinet and centers and institutes within and affiliated with CDSS. Implements strategic initiatives for the college, including the Dean's Distinguished Lecture series and the State of the Planet Lectures Series, as well as staffing and research for a variety of committees, working groups, and task forces. The Program Analyst collaborates closely with faculty and staff of CDSS interdisciplinary units to support key objectives. This individual integrates input and lessons learned from across campus to understand the relative opportunities and challenges associated with new programs, such as research initiatives and corporate engagement strategy; works with key stakeholders to develop and implement the initiative. Manages a wide variety of internal and public-facing programs, including awards, lectures, and research convenings, especially related to core themes, including environment, social wellbeing, and human health. Application Review Date The First Review Date for this job is: 11/10/25 - Open until filled Responsibilities 20% Proposes and provides staffing for policy and planning committees, task forces, and working groups to meet the academic and operational goals of the college's interdisciplinary mission. Provides analysis and committee support for strategic and ad hoc efforts, including industry engagement, funding strategy, and efforts around CDSS research themes. Implements actions and events as recommended. Collaborates with the leadership of key units and programs, such as the Berkeley Institute for Data Science (BIDS), the Bakar Institute of Digital Materials for the Planet (BIDMaP), and others. 10% Proposes a strategy for programmatic and structural needs to promote interdisciplinary collaboration, specifically related to faculty-defined priorities for interdisciplinary research and identified intellectual themes. Incorporates recommendations from faculty committees, center directors, and individuals. Coordinates with faculty experts and stakeholders to generate content. 15% Performs ad hoc, analytical studies as needed for the wide variety of programs and complex issues for the wide variety of topics that faculty committees are handling. Determines, in collaboration with committee chairs, what materials will be constructive in advance of meetings and in follow-up; prepares materials and distributes to maximize committee productivity and limit faculty administrative burden. Provides analyses of internal and external corporate engagement programs as benchmarks. Performs budget, financial, academic, data, and systems analysis. Collaborates with executive leadership, academic leadership, program coordinators, and managers, to enhance corporate engagement strategy, communication, and implementation in CDSS. 15% Develops proposals to fund programming in collaboration with college leadership and/or leadership of interdisciplinary centers and institutes, and involved faculty. For philanthropic proposals, collaborates closely with Development. Researches complex programs, benchmarks similar processes, distils scientific data, and communicates plans clearly in writing. 15% Collaborates with events staff, faculty committees, faculty stakeholders, and the college leadership team to plan lectures and events. Liaises between faculty committees, which will set objectives, and the events staff to meet the objectives of each event. Coordinates implementation with cross-organizational departments or external entities. Prepares briefings, content, draft questions for panels, and talking points or scripts for leadership, including the dean. Establishes and maintains contacts internally and with external constituents for the collection and exchange of data. 5% Conducts post-implementation analysis to determine the need for further enhancements, finer distinctions, and/or additional process/policy components for the purpose of maintaining and improving event quality and stakeholder engagement over time. Tracks progress and prepares reports, including donor reports, in collaboration with development, to document results, including for donor-funded lectures and events. 5% Researches and summarizes best practices among peers on and off campus. Develops process and procedures handbooks to increase efficiency and process understanding, facilitates staff and faculty objectives when working through relevant processes, and promotes process transparency and increased understanding of best practices. Conducts programmatic benchmarks. 5% Research, monitors and analyzes regulations, legislation, research literature, and UC policies for a variety of needs within the college, such as preparing draft RFI responses to funding agencies. Prepares directives, regulations, technical guidance, and other instructions for issuance to stakeholders. 5% Develops scope of work, budgets, and reports for project requirements. 5% Other duties as assigned. Required Qualifications Knowledge of common organization, or research-specific, and other computer application programs. Excellent communication and interpersonal skills to communicate effectively, both verbally and in writing. Ability to use discretion and maintain all confidentiality. Analytical / problem-solving skills. Strong skills in analyzing, researching, and synthesizing large amounts of data for preparing sound and relevant proposals/analyses. Ability to multi-task with demanding timeframes. Strong policy analysis techniques. Ability to anticipate workflows and timing, generate workplaces, and prioritize. Ability to observe group dynamics and assess strategies for communication. . click apply for full job details

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

Category: : Faculty Subscribe: : Department: : Computer Science - 02110 Locations: : Albany, NY Posted: : Oct 20, 2025 Closes: : Open Until Filled Type: : Full-time Ref. No.: : WF250122 Position ID: : 193984 About University at Albany: Established in 1844 and designated a University Center of the State University of New York in 1962, the University at Albany's broad mission of excellence in undergraduate and graduate education, research and public service engages a diverse student body of approximately 17,000 students in nine schools and colleges across three campuses. Located in Albany, New York, New York State's capital, the University is convenient to Boston, New York City and the Adirondacks. Job Description: The Computer Science Department within the College of Nanotechnology, Science, and Engineering at the University at Albany, SUNY, is seeking applicants for an Associate or Full Professor to begin Fall 2026. Areas of particular interest include computer science Systems, and the specific research topic this EIP targets is AI-Supported microelectronic chip design. The position is a SUNY Empire Innovation Program position, which is intended to recruit and support faculty with particularly strong records of research accomplishments. More information about the SUNY Empire Innovation Program can be found here: The successful candidate is expected to develop an externally funded research program in computer science. In addition, the applicant will be responsible for teaching 3-4 courses per year at the undergraduate and graduate levels and participate in curriculum development. Specific teaching assignments will be determined by the candidate's expertise and the needs of the Department. Faculty are expected to provide service to the College and their home departments and programs by participating in governance as well as providing professional service to the community and their disciplines. The successful applicant will be expected to actively mentor undergraduate and graduate students, including underserved and historically underrepresented students, and participate in pipeline programs to help build a diverse and representative student population. EIP professors are expected to work in an interdisciplinary way with faculty in other departments, including the departments of Nanoscale Science & Engineering, Electrical & Computer Engineering, and Environmental & Sustainable Engineering. EIP professors are also expected to mentor junior faculty. Primary Responsibilities: Teach classes in the computer science systems domain, including but not limited to computer architectures, computer networks, operating systems, and software engineering Research, including supervision of PhD students and postdoctoral scholars Service to the CS department, CNSE, and UAlbany participating in departmental meetings, service activities such as student recruitment and outreach Functional and Supervisory Relationships: Reports to Computer Science Chair Supervises the following positions: NA May supervise as assigned: Graduate and undergraduate students working as teaching assistants, lab supervisors, and graders Job Requirements: A distinguished record of scholarship, teaching, and service that qualifies for a tenured appointment at the rank of Associate or Full Professor Strong communication, interpersonal, and organizational skills Demonstrated teaching experience or strong potential for effectively teaching CS courses and otherwise communicate effectively about CS concepts at the undergraduate and graduate level A demonstrated commitment to diversity, equity, inclusion, and student success Requirements: Minimum Qualifications: Ph.D. in Computer Science or related discipline from a college or University accredited by the US Department of Education or internationally recognized accrediting organization A record of undergraduate and graduate teaching that meets the criteria for a tenured faculty appointment at the rank of Associate Professor or Full Professor A record of research that meets the criteria for a tenured faculty appointment at the rank of Associate Professor or Full Professor A record of service that meets the criteria for a tenured faculty appointment at the rank of Associate Professor or Full Professor A strong record of scholarly publications A record of research funding Experience in graduate student mentorship Applicants must demonstrate an ability to develop inclusive and equitable relationships within our diverse campus community Applicants must demonstrate an ability to support diversity, equity, access, inclusion, and belonging relative to their role Preferred Qualifications: A record of interdisciplinary research with scientists in fields such as chip design and nanotechnology Recognized as an international leader in their research area Working Environment: Faculty will be provided with personal office space and lab space to support research Teaching will be scheduled across the different campus teaching facilities Class schedules may include courses offered after 5 pm on weekdays Online courses may be scheduled at the discretion of the department chair This position will require occasional evening and weekend work to support events and community activities Travel within New York State and beyond may be necessary Additional Information: Professional Rank and Salary Range: Associate Professor / Full Professor, A4, Salary commensurate with experience The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, or Clery Act, mandates that all Title IV institutions, without exception, prepare, publish and distribute an Annual Security Report. This report consists of two basic parts: disclosure of the University's crime statistics for the past three years; and disclosures regarding the University's current campus security policies. The University at Albany's Annual Security Report is available in portable document format PDF by clicking this link Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at or via email at . THE UNIVERSITY AT ALBANY IS AN EO/AA/IRCA/ADA EMPLOYER Please apply online via Application Instructions: Applicants MUST submit the following documents: CV Cover letter stating all the required minimum qualifications and any of the applicable preferred qualifications. Contact information for three references Note: After submitting your CV, the subsequent pages give you instructions for uploading additional documents (i.e. cover letter etc.). See the FAQ for using our online system. Please contact us if you need assistance applying through this website. Returning Applicants - Login to your UAlbany Careers Account to check your completed application. A review of applications will start on October 31, 2025 and the search will remain open until the position is filled.

Senior Curriculum Developer - Community for Rigor (C4R) 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 Curriculum Developer - Community for Rigor (C4R) Job Profile Title Manager Research Project B Job Description Summary The Community for Rigor (C4R - ) is a growing and innovative team at the University of Pennsylvania with the goal of making science more rigorous through leading-edge educational materials. There is a growing recognition that science could be made more efficient and impactful, by addressing research problems such as: failure to replicate, poor documentation, non-open or gatekeeping of data, and ineffective research questions. Community for Rigor is a 5-year funded project from NIH NINDS, and operates as a hub that coordinates the efforts of partner institutions from many leading universities. Our vision is to empower scientists to do reliable, rigorous research, through inclusive pedagogy, and in collaboration with a vibrant global community. We are seeking a Senior Curriculum Developer that will be responsible for collaborative creation of training materials, suitable for scientists of all levels and career stages. As part of the Curriculum Team at C4R, you will work alongside internal teams and our external partners to design, develop, deploy, assess, and revise educational content. In addition to empowering scientists, we also aim to empower every member of our team, through a supportive, inclusive, and open working environment. C4R fosters the success of each individual and team through a variety of professional development and peer learning opportunities. Job Description Responsibilities Work alongside leading subject matter experts, professional educators, rigor champions, technologists, and more, to create the next generation of engaging and effective educational content. Contribute to shared projects as part of C4R's overall mission (e.g. provide feedback on design and user experience of web-based interactive components, evaluate existing educational units, and integrate feedback in future versions). Be a flexible and adaptive team player, and work alongside different entities at C4R, the Kording Lab, Penn, and our partners. Communicate effectively across different teams and individuals, including giving and receiving constructive feedback and actionable guidance. Support C4R in implementing its values throughout our work and our processes. Present C4R content to audiences when needed (including instruction to test audiences) and travel to conferences to represent C4R ( travel requirement Required Qualifications Master's degree and a minimum of three years of experience teaching in a higher-education setting or an equivalent combination of education and experience. Preference for background in Neuroscience or related field. Awareness of rigor and reproducibility issues, especially in the biomedical sciences Familiarity with evidence-based pedagogy and instructional design. Empathy with our learner audience and meeting them "where they're at". Strong writing and documentation skills, including providing written feedback and updating internal knowledge base documents. Ability to write effective copy, instructional text, audio/visual scripts, etc. Preferred / Nice-to-Have Certified Instructor for The Carpentries or similar certification. Familiarity with explicit teaching / explicit instruction. Familiarity with project management tools or systems ( Trello, Asana, Jira, etc.). Experience creating educational multimedia (graphics, audio recordings, video clips, interactive simulations). Resume and Cover Letter Description Please provide a resume and cover letter in your application. We use these documents to understand your experience and who you are as an individual. Your resume should include recent positions, descriptions of what you did in each role, and any relevant skills. Your cover letter should describe why you are interested in joining C4R, your connection to its mission, how your prior experience has prepared you for the various aspects of this role (technical background, leadership experience, etc), and (research background, pedagogical experience, etc), and your approach for creating engaging and effective educational materials. Please keep cover letters to two pages or less. Applications without a cover letter will not be considered. Timeline We intend to have the position start in early to mid February. Please indicate when you are able to start in your application materials. Job Location - City, State Philadelphia, Pennsylvania Department / School School of Engineering and Applied Science Pay Range $66,000.00 - $90,000.00 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 . click apply for full job details

Assistant/Associate Professor in Computer Science (Precision Health and Environment Cluster Hire) Fall 2026 Location: Knoxville, TN, United States Open Date: Aug 28, 2025 Description: The Min H. Kao Department of Electrical Engineering and Computer Science (EECS ) at The University of Tennessee, Knoxville ( UTK ) is seeking candidates for one (1) tenure-track faculty position at either the assistant or associate professor level in computer science. The area of focus is Natural Language Processing (NLP) broadly defined, including AI areas such as Large Language Models and multimodal Generative Artificial Intelligence (GenAI). This search is to recruit a future leader on campus to lead basic research in GenAI and interdisciplinary research at the cross section of GenAI and vast amounts of healthcare records and diverse healthcare/biomedical applications. This search is part of the Precision Health and Environment Cluster Hire across multiple UTK departments. Precision Health and Environment Cluster Hire The University of Tennessee Knoxville is searching for additional faculty to strengthen the university's position as a global leader in Precision Health and Environment research; this position is among them and will begin August 1, 2026. Recruitment into Precision Health & Environment creates opportunities to build bold agendas that advance big ideas. The successful candidate will join a team of approximately 50 established and successful faculty with shared and complementary research interests in artificial intelligence (AI), health informatics, health information and communication, epidemiology, environmental engineering, systems modeling, natural language processing, and machine learning and a strong desire to grow the scholarly and educational impact of their work. For early career faculty, the cluster also offers a unique framework for professional development and mentorship within a rich transdisciplinary environment. For more information about PHE please visit - . The ideal candidate for this position has a collaborative mindset and prioritizes working with colleagues to realize shared research and educational achievements, including large-scale proposals, joint publications, and new transdisciplinary curricular programming. This unique opportunity may include joint appointments in other participating departments. As Tennessee's flagship land-grant institution, UT is particularly interested in recruiting candidates who are deeply connected to the organizations and communities in which their work will have translational impact, as well as those who will contribute to a climate that values diversity and inclusion. Researchers in the PHE cluster have additional collaboration opportunities through the UT Health Science Center, UT Medical Center, Tennessee Institute of Surgical Innovation, Institute for a Secure and Sustainable Environment, the Tennessee Water Resources Research Center, and the Baker School of Public Policy and Public Affairs. In addition, as the leading university partner in UT-Battelle, the management company for Oak Ridge National Laboratory (ORNL), UTK offers extraordinary opportunities for cutting-edge research in science and engineering with the UT-Oak Ridge Innovation Institute (UT-ORII). Through a streamlined IRB process, UTK researchers have access to a unique rEDW (a research Enterprise Data Warehouse) system, which is a result of decade-long continued investment by the University of Tennessee. rEDW includes rich anonymized healthcare data, such as electronic health records (HER) on over 4 million patients, the associated medical imaging, digital radiology and pathology data, the associated location data for social determinants of health study, as well as genomics data on over 13 thousand children linked to EHR data for genotype-phenotype studies. UTK is the state's flagship campus and leading research institution with a strong partnership with the nearby Oak Ridge National Laboratory (ORNL), where many UTK faculty have ongoing joint positions and/or joint research projects. As a strategic investment, UTK is leading the AI Tennessee , a research and education initiative by the State and the University to engage with academic, industry and community partners across Tennessee to leverage the benefits of AI across all disciplines and economic sections. The Tickle College of Engineering (TCE) is in the midst of an unprecedented period of growth and success, including adding over 30 new faculty to the college as part of ambitious hiring campaigns led by Chancellor Donde Plowman and Dean Matthew Mench. The college has set records in research expenditures, enrollment, incoming student GPA, intellectual property development, and USNWR rank in the past three years. New facilities include the state-of-the art Zeanah Engineering Complex, the University of Tennessee Manufacturing and Design Enterprise (TN-MADE) facility, and the Innovation South building now under construction that will house UTK's Fibers and Composites Manufacturing Facility (FCMF). TCE currently has 203 tenure/tenure track and 79 non-tenure track faculty in its nine academic departments and offers 11 undergraduate, 16 MS, and 15 PhD/DE degree programs. Affiliated with TCE and located in Tullahoma, Tennessee, the UT Space Institute is a hub of aerospace and defense research. The college is also home to eight research centers and three interdisciplinary institutes. With approximately 4,300 undergraduate and 1,500 graduate students, the college sits 29th among public universities in the most recent U.S. News and World Report graduate rankings. Faculty in the college have won 29 early career awards (NSF, DOE, DARPA, AFOSR, and ARO) since 2016. In FY24, the college had annual research expenditures of $113.6M. EECS at UTK has 49 full-time T/TT faculty members, three members of the National Academy of Engineering, 15 IEEE Fellows, 13 NSF/DOE CAREER awardees, and 15 ranked in World's Top 2% Scientists as compiled by Stanford. The department has a growing enrollment of more than 1000 undergraduate and 450 graduate students across the three majors of Electrical Engineering, Computer Engineering, and Computer Science. In addition, the department offers undergraduate minors in computer science, cybersecurity, datacenter technology and management, and machine learning. Successful faculty candidates will be expected to contribute to the continued growth and excellence of EECS. UTK is in Knoxville, TN. The city of Knoxville is a hidden gem with an elegant and walkable downtown, rich and varied nightlife, vibrant neighborhoods, eclectic restaurants, and amazing access to outdoor activities of all kinds as well as exciting cultural events throughout the year. Knoxville is within an easy driving distance to Nashville, Atlanta, Asheville, and the Great Smoky Mountains National Park. From Knoxville's TYS Airport, Knoxville has nonstop flights to 24 major US airports, including DC, NYC, Atlanta, Baltimore, Boston, Charlotte, Chicago, Dallas, Denver, Detroit, Houston, Las Vegas, Miami, Nashville, Orlando, Philadelphia, and Phoenix. In addition, Knoxville and the surrounding areas boast great K-12 schools and one of the most highly educated populations in the entire US. With one of the lowest costs of living in the country, Knoxville was recently recognized in U.S. News and World Report as the 29th best place to live in the U.S. In fact, in 2024, US News ranked the State of Tennessee as in fiscal stability, in economy, and in infrastructure. Qualifications: Minimum Qualifications: A PhD degree in Computer Science, Computer Engineering, or a related discipline at the time of appointment.Preferred Qualifications: Candidates with previous experience working in the convergent area of natural language processing, large language models, multimodal machine learning, and healthcare/biomedical applications. For an Appointment at the Assistant Professor rank: The candidate is expected to show potential for obtaining funding for the research programs, and for participation in interdisciplinary teams. The candidate is also expected to show effective, high-quality teaching skills, and ability to effectively mentor undergraduate and graduate students. For an Appointment at the Associate Professor rank: The candidate is expected to have conducted nationally/internationally recognized research works and show strong leadership potential. The candidate is also expected to show effective, high-quality teaching skills, and ability to effectively mentor undergraduate and graduate students. Application Instructions: The application deadline is November 17, 2025. Applications received after the deadline may be considered until the position is filled. Please submit the following items online in Interfolio to complete your application: Cover Letter Curriculum Vitae Research Statement Teaching Statement Names and Contact Information of Three References Questions should be forwarded to the search committee chair, Dr. Jian Huang at . Equal Employment Opportunity Statement: All qualified applicants will receive equal consideration for employment and admission without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, genetic information, veteran status, and parental status, or any other characteristic protected by federal or state law. In accordance with the requirements of Title VI of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972 . click apply for full job details

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

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

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