Data Scientist I
Job ID: req758
Facility: San Francisco CA
Location: 499 Illinois St, San Francisco, CA 94158 USA
The Frederick National Laboratory is dedicated to improving human health through discovery and innovation in the biomedical sciences, focusing on cancer, AIDS, and emerging infectious diseases.
Come work with the Frederick National Laboratory for Cancer Research, managed by Leidos Biomedical Research, Inc. on behalf of the National Cancer Institute (NCI). It is the only U.S. national laboratory wholly focused on research, technology, and collaboration in the biomedical sciences – working to discover, to innovate, and to improve human health.
The Strategic and Data Science Initiatives (SDSI) Program is part of the Frederick National Laboratory for Cancer Research Biomedical Informatics and Data Science Directorate. The SDSI program aims to establish new and extend current initiatives and strategic collaborations in computing and data science to address key cancer challenges, accelerate cancer research and advance predictive oncology. The SDSI program leads innovative efforts to impact and accelerate cancer research in multiple areas including increasing application of high-performance computing and AI, strategic use of data science education to build communities of practice, transforming use of large-scale data and cutting-edge data science in cancer research, and developing novel and sustainable collaborations across the NCI, academic, government, industry and international organizations.
The Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium (atomscience.org) is a public-private partnership with the mission of transforming drug discovery by accelerating the development of more effective therapies for patients. ATOM founding members are GSK, Lawrence Livermore National Laboratory, Frederick National Laboratory, and the University of California, San Francisco. ATOM consortium members are developing, testing, and validating a multidisciplinary approach to drug discovery in which modern science, technology and engineering, supercomputing simulations, data science, and artificial intelligence are highly integrated into a single drug-discovery platform that can ultimately be shared with the drug development community at large.
Frederick National Laboratory is hiring a Cancer Drug Discovery Data Science Fellow to work in computationally-driven cancer drug discovery as part of the ATOM Consortium. This position is based in San Francisco, California.
ATOM Fellowship Program
We are currently accepting applicants for the ATOM Fellowship Program for a one-year appointment beginning early 2020
Applications must include:
- A brief statement of research interests. The statement of research interests should be no more than one paragraph and should clearly describe how your research background and interests relate to the overall goals of the ATOM Consortium
- A brief (one paragraph) description of your career goals
Selected applicants will be expected to give a virtual job seminar describing their current research as part of the application process. Letter of support will be requested from selected applicants’ current research advisors.
Please read the following information regarding the ATOM program prior to submitting an application!
More information about ATOM, the fellowship program, and frequently asked questions can be found here: https://frederick.cancer.gov/science/ATOM
- Be able to work independently as part of a multi-disciplinary team to support the ATOM consortium’s scientific and technical goals
- Actively participate in cross-disciplinary training and collaboration
- Create and maintain strong professional relationships with all ATOM stakeholders
- Foster and nurture collaborative work environment
- Possession of a PhD in Computer Science, Math or Biomedical Science related field from an accredited college or university according to the Council for Higher Education Accreditation (CHEA). Foreign degrees must be evaluated for U.S. equivalency.
- A strong background in any of the following: cancer biology, pharmaceutical or medicinal chemistry, pharmacology, toxicology, drug discovery, computational biology, in silico biology, bioinformatics, systems biology, molecular dynamics, multiscale modeling, machine learning, adaptive learning or high-performance computing
- Must be able to obtain and maintain a security clearance
- Analytical approach to defining scientific questions
- Design of scientifically testable hypotheses
- Interpretation and analysis of data
- Must be detail-oriented and possess strong organizational and analytical skills with the ability to prioritize multiple tasks/projects
- Exceptional written and oral communication skills in order to work closely with numerous stakeholders from diverse organizations
Equal Opportunity Employer (EOE) |
Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)