Research Programmer

Rutgers The State University of New Jersey

New Brunswick, NJ

JOB DETAILS
SALARY
$120,000–$130,000 Per Year
SKILLS
Algorithms, Amazon Web Services (AWS), Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Benchmarking, Best Practices, Biomedicine, CUDA (Compute Unified Device Architecture), Cloud Computing, Communication Skills, Computer Programming, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Science, Deep Learning, Engineering Software, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), Life Insurance, Machine Learning, Microsoft Windows Azure, Modeling Languages, Open Source, OpenCL, Physical Demands, Prescription Drugs, Presentation/Verbal Skills, Probability Theory, Publications, Quantitative Research, Rapid Application Development (RAD), Scientific Research, Software Administration, Software Engineering, Statistics, Tax Planning, Training/Teaching, United States Department of Energy (DOE), Writing Skills
LOCATION
New Brunswick, NJ
POSTED
30+ days ago

Position Details Position Information RecruitmentPosting Title Research Programmer Department Quantitative Biomedicine Inst Salary Details 120000 - 130000 Offer Information The final salary offer may be determined by several factors including but not limited to the candidates qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks if and when appropriate and internal equity to ensure fair compensation relative to the universitys broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.

Benefits Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:

  • 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

Posting Summary 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.

Responsibilities

  • Design, develop, and deploy MLDL 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 MLDLCI techniques across topics and domains
  • Deliver training on MLDLCI techniques and best practices to a broad range of researchers
  • Stay at the forefront of new MLDL techniques and MLDL 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

Position Status Full Time Posting Number 25FA0745 Posting Open Date 08012025 Posting Close Date

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

Licenses Required Knowledge Skills and Abilities

  • Experience with DL frameworks such as PyTorch, DeepSpeed, 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 in deploying open-source and open-data DL projects at scale and job management with SLURM or PBS
  • Knowledge of software engineering and MLOps, e.g. CICD workflow
  • Familiarity with scientific or ML workflows
  • Training or tutorial experience for domain scientists
  • Ability to learn and adapt to new technologies
  • Excellent writing and verbal communication skills

Preferred Qualifications

  • Equipment Utilized
  • Physical Demands and Work Environment
  • Individual will work onsite at RCSB PDB located at Rutgers Busch Science Campus, Piscataway, NJ

Overview The RAD Collaboratory was recently launched by the Office of the Rutgers New Brunswick Chancellor as a Chancellor-reporting Signature Initiative CSI that aligns with Rutgers-New Brunswick Academic Master Plan. This initiative serves as a hub for data science, artificial intelligence, student programming, and community engagement.

Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu/postings/257382 Campus Rutgers University-New Brunswick Home Location Campus Busch RU-New Brunswick City Piscataway State NJ Location Details Pre-employment Screenings All offers of employment are contingent upon successful completion of all pre-employment screenings. Immunization Requirements Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidates offer of employment or disciplinary action up to and including termination.

Equal Employment Opportunity Statement 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: http://uhr.rutgers.edu/non-discrimination-statement

Posting Specific Questions Required fields are indicated with an asterisk. Applicant Documents Required Documents

  • Cover Letter
  • Letter of Application
  • Resume
  • CV
  • Curriculum Vitae
  • List of Professional References
  • Contact Info Optional Documents
  • URL

About the Company

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Rutgers The State University of New Jersey