Rutgers University

Recruitment/Posting Title Senior Scientist Research Computing

Job Category Staff & Executive - Research (Laboratory/Non-Laboratory)

Department Office of Advanced Research Computing

Overview 

Rutgers, The State University of New Jersey, is a leading national research university and the State of New Jersey’s preeminent, comprehensive public institution of higher education. As one of the largest employers in the State of New Jersey, Rutgers University is committed not only to the students and the State that we serve, but also to the faculty and staff who work on our campuses.

For two consecutive years, Rutgers is ranked on Forbes’ list of America’s Best Large Employers. Rutgers holds #64 of 500 employers and is the #1 New Jersey employer on the publication’s 2023 list. Rutgers’ commitment to its employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring accessibility and accommodation for individuals with disabilities.

Posting SummaryRutgers, The State University of New Jersey, is seeking a Senior Scientist Research Computing Office of Advanced Research Computing (OARC). OARC is a large and diverse team working to create an outstanding environment for research computing at Rutgers. A key part of OARC’s responsibility to the University is to ensure that we are seeking and supporting the best solutions for constantly evolving computational research challenges. Doing that effectively requires us to carefully address the needs of the community we serve and to ensure that our support networks are diverse, inclusive, and equitable. Diversity is welcome and encouraged here because it fuels innovation and ensures exploration of the broadest range of possible solutions to research problems. Inclusivity and respect for all points of view empower the decision making and policy development that are the framework of a productive research support organization. Prioritizing equity ensures access to resources needed to support the ideas, initiatives, and efforts of all contributors to our research support operations. Above all, we value our team members and their unique capabilities, interests, and experiences that, in concert, form OARC’s mission and vision.

Among the key duties of this position are the following:

• Helps to develop new and install and adapt existing data science and machine learning tools for research workflows and analytical pipelines for data being created in molecular and cellular biology and genomics, as well as engineer new toolsets that include AI models and Deep Learning algorithms developed in-house.
• Supports the Rutgers University research community, as well as other research disciplines, in their research computing and data related research.
• Engages in local outreach on the Rutgers campuses (Rutgers Biomedical and Health Sciences, New Brunswick, Newark and Camden) to identify potential new users of research computing and data resources.
• Works closely with faculty, post-doctoral associates, students, and research staff to understand their research to allow for the customization of workflows, training, and support, and has an opportunity to grow analytical and informatics team based on demand for biomedical and clinical informatics services.

Position Status Full Time

Hours Per Week 

Daily Work Shift 

Work Arrangement 

Consistent with the current application of Rutgers Policy 60.3.22, this position may be eligible for a hybrid work arrangement. The flexible work arrangements outlined in Rutgers Policy 60.3.22 are part of a pilot program that is effective September 1, 2022 through August 31, 2024. Therefore, there is no guarantee that this flexible work arrangement will continue beyond that date. Flexible work arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the FlexWork@RU Application System. Additional information may be found at https://futureofwork.rutgers.edu.

FLSA Exempt

Grade 35S

Position Salary 

Annual Minimum Salary 107562.000

Annual Mid Range Salary 130053.000

Annual Maximum Salary 155128.000

Standard Hours 37.50

Union Description HPAE, Local 5094

Payroll Designation PeopleSoft

Benefits 

Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview.

Rutgers also offers a benefit program to eligible full-time postdoctoral fellow students. For details, please go to https://finance.rutgers.edu/healthcare-risk/insurance/postdoctoral-health-insurance.

Seniority Unit 

Terms of Appointment Staff - 12 month

Position Pension Eligibility ABP

Minimum Education and Experience 

• Masters degree or equivalent combination of education and experience.
• A minimum of four (4) years’ experience supporting computationally intensive and/or data intensive research projects or equivalent work.

Certifications/Licenses 

Required Knowledge, Skills, and Abilities 

• Strong verbal and written communication skills
• Enjoy working in a dynamic and flexible team environment and have a positive attitude.
• Able to work with minimal supervision and demonstrate a history of self-motivation.
• Demonstrate an appreciation for a wide range of computer and data-intensive research and be experienced in at least one of the STEM (Science, Technology, Engineering, or Mathematics) areas.
• Strong background in scientific programming
• Proficient in at least one programming language, preferably Python or R, and work in a Unix-like system.
• Familiar with standards and best practices for open science and FAIR (Findable, Accessible, Interoperable, and Reusable) research software (https://openmodelingfoundation.org)
• Demonstrate deep knowledge of statistical methods and will demonstrate practical knowledge of machine learning model building and deployment.
• Will have produced compelling visualizations telling stories with data.
• Knowledgeable of research processes and language in biological or medical fields and be able to effectively communicate and support researchers in these domains with technological and methodological expertise.
• Preferred Qualifications
• A Ph.D. in a related field.
• Understanding of how advanced research computing technologies are used to enable scientific discovery.
• Familiarity with data-intensive computing environments
• Experience applying advanced software tools and computing technologies in a dynamic and diverse research setting.
• Experience with national scientific computing initiatives such as the Open Science Grid (OSG), ACCESS, and CloudLab as well as familiarity with prominent cloud services providers
• Understanding user requirements and translating those requirements into functional and dependable solutions, working with scientific programming languages and troubleshooting skills.
• Knowledge and experience with deep learning frameworks like Tensorflow or PyTorch.
• Experience with statistical tools like SAS, Stata, and SPSS.
• Experience with software containerization in particular with Docker, Singularity and K8s
• Knowledge of HPC systems.

Equipment Utilized 

Physical Demands and Work Environment 

• Standing, sitting, walking, talking or hearing.
• Visual acuity to perform activities such as: viewing a computer terminal, reading, analyzing written information/data, etc.

Special Conditions 

Posting Number 24ST0981

Posting Open Date 04/24/2024

Special Instructions to Applicants 

Regional Campus Rutgers University-New Brunswick

Home Location Campus Rutgers University - New Brunswick

City Piscataway

State NJ

Location Details 

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