Computational Research Support Analyst (Biomed)
University Job Title: Computational Research Support Analyst
Bargaining Unit: None - Not included in the union (Yale Union Group)
Time Type: Full time
Duration Type: Regular
Compensation Grade: Administration & Operations
Compensation Grade Profile: Manager; Program Leader (P5)
Total # of hours to be worked: 37.5
Work Week: Standard (M-F equal number of hours per day)
Work Location: Central Campus
Worksite Address: 160 St. Ronan Street
New Haven, CT 06511
Work Model: Hybrid
Position Focus: The Yale Center for Research Computing seeks a Computational Research Support Analyst to join the Center’s interdisciplinary Research Support group and to provide best-in-class support with a focus on researchers in the Yale School of Medicine and Yale School of Public Health. Areas of concentration include sensitive data management, biomedical computing, and HPC. The position requires excellent communication skills, the ability to work within a team and juggle many simultaneous projects, and a can-do attitude. For candidates interested in research, the opportunity exists for extended collaboration with researchers up to 20% time.
This position involves consulting with and advising users of the YCRC’s services, who have a wide range of research interests and computational abilities (including faculty, postdocs, and graduate students). The Yale School of Medicine is undertaking major investments, creating a new Biomedical Informatics and Data Science (BIDS) department and a secure HPC cluster for research involving sensitive data computing on data such as electronic health records. These initiatives and researchers will be a focus for this position.
The YCRC supports the entire University, including the Yale School of Medicine and the Faculty of Arts & Sciences and encompasses Yale’s High Performance Computing (HPC) clusters with more than 40,000 cores, multiple petabytes of high-performance storage, and technologies for computational science and the analysis, sharing, and management of large-scale research data.
The successful candidate for this position will report to both the Center’s Director of Arts & Sciences Research Computing and the Center’s Director of Biomedical Research Computing.
Essential Duties:
- Collaborate with faculty and researchers to provide scientific computational expertise to enhance efficiency of research algorithms.
- Interface with faculty to solicit requirements on how best to enhance the daily operations of the Yale's Center for Research Computing (YCRC).
- Work with the HPC engineering team to implement these operational enhancements.
- Provide technical support, computing assistance, and training to YCRC users primarily in the university's main campus departments in the natural and social sciences and engineering. This includes:
- Software installation and support of various scientific software packages.
- Support of research groups' computational research through consultation and design of software and systems.
- Parallel programming and performance tuning.
- Assistance with data management and sharing.
- Troubleshooting users' computational problems.
- Investigate new computing technologies (in areas such as hardware, software, and networking, depending on the candidate's interests and expertise).
- Develop and deliver training programs, seminars, and other outreach activities to a diverse community of faculty, students, and others sharing a common interest in advanced computing and data processing technologies for research. Training will include basic and advanced programs in HPC and data science.
Required Education and Experience: Bachelor's degree in a scientific or computational field plus two years of academic or scientific industry experience.
Required Skill/Ability 1: Extensive ability working in Linux environment.
Required Skill/Ability 2: Mastery of programming in at least one language such as Python, R or C.
Required Skill/Ability 3: Knowledge of software building and installation: e.g. make, autoconf, etc.
Required Skill/Ability 4: Demonstrated ability to juggle multiple projects/collaborations simultaneously.
Required Skill/Ability 5: Excellent written and oral communications skills.
Preferred Education, Experience and Skills: Doctoral degree in a life science field; experience doing independent research; significant experience in scientific computing. Computing languages such as: C, Python, Matlab, R. High performance computing in a Linux environment. Biomedical software tools and pipelines. Software tools: Docker, Apptainer, Slurm, MPI, Jupyter, EasyBuild, conda. Teaching of courses, workshops, consulting.
Weekend Hours Required? No
Evening Hours Required? No
Drug Screen: No
Health Screening: No
Background Check Requirements: All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check.
COVID-19 Vaccine Requirement: The University maintains policies pertaining to COVID-19. All faculty, staff, students, and trainees are required to comply with these policies.
EEO Statement: University policy is committed to affirmative action under law in employment of women, minority group members, individuals with disabilities, and protected veterans. Additionally, in accordance with Yale’s Policy Against Discrimination and Harassment, and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual’s sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran.
Note: Yale University is a tobacco-free campus.
