Senior Scientist Research Computing

3 weeks ago

Saint John, Canada Rutgers University Full time

Senior Scientist Research Computing - Data Scientist (Biomedical and Clinical Informatics)

Rutgers, the State University of New Jersey is seeking a Senior Scientist (Biomedical and Clinical Informatics) – Data Scientist for the Office of Advanced Research Computing (OARC).

As part of a larger team of research scientists, the incumbent will support the Rutgers University biomedical research community, as well as other research disciplines, in their research computing and data related research. In partnership with the research community and other biomedical and clinical informatics specialists, the successful candidate will manage and analyze data being created in molecular and cellular biology, genomics and biomedicine through the use of existing data science and machine learning tools as well as engineer new toolsets that include models, algorithms, and software developed in-house. Reporting to the Director of Research Support, under the Associate Vice President for Advanced Research Computing, the Senior Scientist 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.

Among the key duties of this position are the following:

- Participate in development of new biomedical and clinical informatics research and support model, potentially leading to creation of a core facility and/or center of excellence.
- Lead and contribute to the design and implementation of experiments in clinical research, collaborating with multidisciplinary teams to plan data acquisition strategies.
- Provide advanced computing and data (biomedical and clinical informatics) support to Rutgers faculty and students, as well as the broader community, in their computational research by assisting with conceptual and practical realization of the research goals using local, regional, and/or national advanced computational resources.
- Utilize analytical models and advanced statistical methods to analyze complex clinical datasets, deriving meaningful insights and identifying patterns or correlations. Develop and implement data visualization techniques to effectively communicate findings and facilitate understanding among stakeholders.
- Provide education, outreach and training to the university community. Develop and coordinate instructor-based training focused on advanced computing.
- Develop and expand internal and external partnerships, including industry, to promote advanced computing related collaborations, positioning Rutgers University as a leader in research and technologies.
- Lead large scale data processing and computational pipeline/tool development in assigned areas, including mentoring of new scientists, graduate students and other technical staff.
- Take a leading role in the selection and optimization of research infrastructure, ensuring it meets the needs of clinical research data analysis and storage, including computing systems, software, data transfer nodes, software defined networking, and compliant protected environments for medical research that requires access to PHI, EMR, or other forms of sensitive data (HIPAA, FISMA, NIST 800-171).

Position Status: Full Time

Minimum Education and Experience:

- Master’s degree required.
- A minimum of six (6) years experience supporting computationally intensive and/or data intensive research projects or equivalent work.

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.
- Proficiency in statistical methodologies, machine learning techniques, and data visualization tools for analyzing clinical datasets.
- Strong understanding of research infrastructure needs in the context of clinical data warehouses.
- Proficient in at least one programming language, preferably Python or R, and work in a Unix-like system.
- Demonstrate deep knowledge of statistical methods and practical knowledge of machine learning model building and deployment.
- Knowledgeable of research processes and language in biological or medical fields.

Preferred Qualifications:

- A Ph.D. in a related field.
- Knowledge of the EPIC electronic medical records system and the EPIC Cognitive Computing Platform (ECCP).
- Experience applying advanced software tools and computing technologies in a dynamic and diverse research setting.
- Knowledge of regulatory requirements and ethical considerations related to handling clinical data (e.g., HIPAA).

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.

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