PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science (Rutgers)

The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking to appoint one or more highly motivated postdoctoral researchers with expertise in artificial intelligence/machine learning and data science. Applicants must have completed their Ph.D. studies within the past two years. Prior to submitting an application, they must identify an existing RAD Collaboratory faculty member as their postdoctoral mentor and provide the Mentor’s Letter of Nomination (on Rutgers Letterhead) with their application materials. Successful candidates will work under the supervision of the Nominating Mentor and contribute to interdisciplinary research projects focused on important problems in science and engineering. Eligible subject areas include computational biology and/or biomedicine, multi-modality fusion and inference (visual and NLP data), computationally efficient ML, environmental sciences, and business applications. The RAD Collaboratory offers a rich environment for collaboration with ample access to computational resources.

Apply at Rutgers: https://jobs.rutgers.edu/postings/243341

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Research Programmer/Data Scientist (Rutgers)

The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking one or more Research Scientists to support leveraging modern Machine Learning (ML) and Deep Learning (DL) techniques by Rutgers faculty, postdoctoral fellows, and students. The ideal candidate will have a strong ML/DL and cyberinfrastructure (CI) background and a willingness to contribute to interdisciplinary research across diverse basic and applied science and engineering domains.

Responsibilities will include:

• Design, develop, and deploy ML/DL algorithms for domain science and engineering fields
• Support RAD Collaboratory research on national cyberinfrastructure (e.g., ACCESS, NAIRR, and DOE supercomputers) or cloud environments (e.g., AWS, GCP, and Azure)
• Support application of ML/DL/CI techniques across topics and domains
• Deliver training on ML/DL/CI techniques and best practices to a broad range of researchers
• Stay at the forefront of new ML/DL techniques and ML/DL systems that support science and engineering research
• Co-author peer-reviewed interdisciplinary research publications
• Contribute to funding applications from external sources (e.g., NSF, NIH)

Apply at Rutgers: https://jobs.rutgers.edu/postings/242520

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Gap Year Opportunities For Scientific Software Developers (Rutgers)

Interested in spending your gap year between undergraduate and graduate school with RCSB PDB? 6-month and 1-year opportunities may be available for recent graduates with combined experience in computer science and biology/chemistry.

To apply, students should email info@rcsb.org with a resume, unofficial transcript, and cover letter.

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Undergraduate Summer Research (Rutgers)

RCSB PDB is looking for two rising juniors/seniors at Rutgers University who are studying Computer Science and/or Electrical and Computing Engineering to build data science bioinformatics tools for use by many millions of biological and biomedical researchers and their trainees worldwide.

Undergraduate researchers would be involved with Python-based data science software development projects that may include: creating and expanding upon Python wrappers for APIs (a project described in a recently published Journal of Molecular Biology paper https://doi.org/10.1016/j.jmb.2025.168970), developing tools for handing complex structural data produced by integrative experimental and computational methods https://pdb-ihm.org/, or other data-intensive software development projects, such as tools supporting BinaryCIF.

Contact info@rcsb.org for details.

Why Join Us

Contribute globally

At RCSB PDB, you can apply your skills and enthusiasm to transform research and education around the world. RCSB PDB, a founding partner of the Worldwide Protein Data Bank organization (wwPDB; wwpdb.org), is a worldwide leader that supports an international community of users and leads a global resource for 3D macromolecular data central to scientific discovery in fundamental biology, health, energy, and biotechnology.

Collaborate in a culture of innovation

Fostering diversity and inclusion is part of RCSB PDB’s culture and values.

Team members work at three academic institutions: Rutgers, UCSD/SDSC, and UCSF. Positions are available at:

Rutgers, the State University of New Jersey

The Institute for Quantitative Biomedicine (IQB) at Rutgers, the State University of New Jersey is located alongside other prominent biomedical research centers and health sciences on a suburban campus which is near New York City and the Jersey shore. Our community values leadership, respect, innovation and creativity, research and scholarship, integrity, and teamwork. Rutgers is a leading national research university and the state of New Jersey’s preeminent, comprehensive public institution of higher education and is committed to building a beloved community through University Equity and Inclusion. Established in 1766, the university is the eighth oldest higher education institution in the United States. More than 70,000 students and 23,400 full- and part-time faculty and staff learn, work, and serve the public at Rutgers locations across New Jersey and around the world.

Enjoy State of New Jersey and University benefits:

• Financial incentives: Faculty-level salary, personal rewards based on performance, life insurance, family leave, accident-at-work, unemployment insurances, and the Alternate Benefit Program (ABP) for retirement which results in an 8% match from Rutgers. Also, Rutgers offers options programs for reducing taxable income including: Access to an optional Tax-Free Health Spending Account, and a Dependent Care Spending Account.
• Flexible work arrangements
• Medical insurance for you and your immediate family (including prescription, dental and optical cover).
• Generous time off: Faculty members enjoy 22 days annual leave plus 5 New Jersey Earned Sick Leave days, in addition to 13 University holidays per year.
• Relocation package
• Retirement plan: State pension plans for Alternate Benefit Program (ABP) and Deferred Compensation Plan (NJSEDCP)
• Campus life: Free campus bus, nearby train station, on-site library, on-site gym and cafeteria, casual dress code
• Family benefits: Free college tuition for you and your children, generous parental leave, tax saving plans for childcare and medical expenses, and state-of-the art campus facilities

For more details, please see our employee benefits page.

University of California at San Diego-San Diego Supercomputer Center

The San Diego Supercomputer Center is located in the main UC San Diego Campus in La Jolla, steps away from the Pacific Ocean. As an Organized Research Unit of UC San Diego, the San Diego Supercomputer Center (SDSC) is considered a leader in data-intensive computing and cyberinfrastructure, providing resources, services, and expertise to the national research community, including industry and academia. Cyberinfrastructure refers to an accessible, integrated network of computer-based resources and expertise, focused on accelerating scientific inquiry and discovery. SDSC supports hundreds of multidisciplinary programs spanning a wide variety of domains, from earth sciences and biology to astrophysics, bioinformatics, and health IT. SDSC launched Comet, a petascale supercomputer that joins the Center’s data-intensive Gordon cluster. Our community values leadership, respect, innovation and creativity, research and scholarship, integrity, and teamwork. UCSD is committed to building a diverse and inclusive community through University Diversity and Inclusion.

Enjoy State of California and University Benefits

• Financial incentives: Life, disability and accident insurances
• Flexible work arrangements
• Medical insurance for you and your immediate family (including all prescriptions and dental & optical cover)
• Generous time off: 3 weeks per year to start for most career employees, increasing based on years of service. 12 Sick days per year with unlimited accrual.
• Relocation package
• Retirement plan: University of California Retirement Plan (UCRP) or 401(k) Savings Plan
• Campus life: On-site library, on-site gym and plenty of quality food choices on campus, casual dress code
• Family benefits: Generous parental leave, and state-of-the art campus facilities such as gym and swimming pools. On-site Early Child Education Center with priority access for employees

For more details, please see our employee benefits page.

University of California San Francisco

UCSF, UCSF Health and the UC system offer a range of benefits and services that support our teammates throughout the employee life cycle.