Rutgers, the State University of New Jersey is seeking a Senior Scientist (Biomedical and Clinical Informatics) 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. The incumbent 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 a biomedical and clinical informatics team based on demand for biomedical and clinical informatics services.
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.
Provide advanced computing and data (biomedical and clinical informatics) support Rutgers faculty and students, but also to 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.
Gain knowledge of other biomedical and clinical informatics activities and support within Rutgers University and facilitate their involvement in research projects that may require their area of specialty.
Provide education, outreach and training to the university community. Develop and coordinate instructor-based training focused on advanced computing.
Provide research development by actively pursuing advanced computing-related funding opportunities and partnerships. Work closely with Rutgers University researchers to understand their biomedical and clinical informatics, computing, and data needs and to develop solutions and funding strategies, thereby enhancing the productivity of their research.
Minimum Education and Experience:
Master's degree required.
Equivalent education, experience and/or training may be substituted for the degree requirements.
A minimum of six (6) years experience working with a computationally intense research project or equivalent.
Required Knowledge, Skills, and Abilities:
Strong oral 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.
Proficient in at least one programming language, preferably Python or R, and work in a Unix-like system.
Knowledge of the EPIC electronic medical records system and the EPIC Cognitive Computing Platform (ECCP) as well as the OMOP common data model.
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.
A Ph.D. in related field.
Understanding of how advanced research computing technologies are used to enable scientific discovery.
Familiarity with data-intensive computing environments including Hadoop and Spark.
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), XSEDE, and CloudLab.
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.
Knowledge of HPC systems.
Posting Number: 20ST1925
Location: Piscataway (RBHS)
Internal Number: 121411
About Rutgers University
Rutgers, The State University of New Jersey, is a leading national public research university and the state's preeminent, comprehensive public institution of higher education. Rutgers is dedicated to teaching that meets the highest standards of excellence; to conducting research that breaks new ground; and to turning knowledge into solutions for local, national, and global communities. As it was at our founding in 1766, the heart of our mission is preparing students to become productive members of society and good citizens of the world. Rutgers teaches across the full educational spectrum: preschool to precollege; undergraduate to graduate and postdoctoral; and continuing education for professional and personal advancement. Rutgers is New Jersey's land-grant institution and one of the nation's foremost research universities, and as such, we educate, make discoveries, serve as an engine of economic growth, and generate ideas for improving people's lives.