Research Programmer

Research Programmer

The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking one or more Research Programmers 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.

• Design, develop, and deploy ML/DL algorithms for domain science and engineering fields.
• Support RAD Collaboratory research on national cyberinfrastructure (e.g., ACCESS, NAIRR, DOE supercomputers) or cloud environments (AWS, GCP, 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 (NSF, NIH).

Minimum Education and Experience
:

• Ph.D. in computer science, engineering, or other related research fields with a strong background in applied ML/DL in interdisciplinary research.
• Experience working with ML/DL platforms and algorithms.
• Track record of working with domain experts, researchers, and stakeholders to support diverse science and engineering applications.

Required Knowledge, Skills, and Abilities
:

• Experience with DL frameworks such as PyTorch, Deep Speed, Accelerate, or Megatron‑LM.
• Experience with large language model (LLM) techniques such as supervised fine‑tuning, retrieval‑augmented generation, and in‑context learning.
• Advanced statistical analysis: proficiency in advanced statistical techniques and probability theory.
• GPU programming: experience with GPU programming and optimization for ML models, utilizing frameworks like CUDA or OpenCL.
• Experience with applied computer vision, such as convolutional neural networks and vision transformers (preferred).
• Experience in deploying open‑source and open‑data DL projects at scale and job management with SLURM or PBS (preferred).
• Knowledge of software engineering and MLOps (e.g., CI/CD workflow) (preferred).
• Familiarity with scientific or ML workflows (preferred).
• Training or tutorial experience for domain scientists.
• Ability to learn and adapt to new technologies.
• Excellent writing and verbal communication skills.

Individual will work onsite at RCSB PDB located at Rutgers Busch Science Campus (Piscataway, NJ).

• Medical, prescription drug, and dental coverage.
• Paid vacation, holidays, and various leave programs.
• Competitive retirement benefits, including defined contribution plans and voluntary tax‑deferred savings options.
• Employee and dependent educational benefits (when applicable).
• Life insurance coverage.
• Employee discount programs.

$120,000 - $130,000

It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law.

As an institution, we encourage all qualified applicants to apply. For additional information please see the Non‑Discrimination Statement at the following web address: (Use the "Apply for this Job" box below).-statement