Staff Scientists - Bioinformatics, data analysis
Bioinformatics, data analysis, machine learning
The Cancer Data Science Laboratory (CDSL), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), in Bethesda, Maryland is recruiting Staff Scientists to join the Intramural Research Program’s mission of high-impact, high reward science. The CDSL's (https://ccr.cancer.gov/cancer-data-science-laboratory) mission is harnessing a broad spectrum of computational approaches (e.g., statistics, machine learning, algorithms, etc.) for analyzing and integrating cancer omics data. Candidates will develop cutting-edge computational methods to address fundamental questions concerning cancer origin, evolution, progression, and treatment. The Laboratory will work in a highly collaborative and integrative manner with other NCI Laboratories to generate testable predictions whose experimental outcomes could further feedback to the algorithm development. The Laboratory works in a highly collaborative and integrative manner with other CCR research Laboratories to provide an analysis counterpart to their experiments and generate further testable predictions whose experimental outcomes could further feedback to the computation. We encourage outstanding scientists with experience developing and applying computational approaches for analyzing large scale cancer data to apply.
CCR is working to solve the most pressing problems in the field through basic, translational and clinical cancer research to create the cancer medicines of tomorrow and is dedicated to preparing the next generation of cancer researchers. Read more about CCR, the benefits of working at CCR and hear from our staff on their CCR experiences.
Our scientists can’t do it alone. It takes a skilled, multi-disciplinary team of dedicated staff in research, patient care and administration to improve the lives of cancer patients and answer the most important questions in cancer biology and treatment. Be part of our mission to unlock the mysteries of cancer through research to create the medicines of tomorrow.
Qualifications for this position include Doctor of Philosophy (Ph.D.) and a minimum of three (3) years of postdoctoral research experience in computational sciences. A strong relevant publication record is required. Candidates should be proficient in bioinformatics, data analysis, machine learning and computational biology. Candidates with a strong background and track record in cancer research, with expertise in big data analysis of genomics and other omics data, will be preferentially considered.
Salary is dependent on qualifications and experience. A full package of federal benefits is available including retirement, health and life insurance, long-term care insurance, leave and savings plan (401 (k) equivalent) is available.
Bethesda, located adjacent to Washington, D.C., is an urban core of Montgomery County, MD. Bethesda is one of the most affluent and highly educated communities in the United States. Living in Bethesda offers residents a suburban feel with a lot of restaurants, coffee shops, and parks. The public schools in Bethesda are highly rated.
There are multiple investigators in the Laboratory with broad coverage of expertise, including genetic interaction, epigenetic regulation, structural variation, tumor heterogeneity and evolution, single-cell omics, precision medicine, and immunotherapy resistance. Applicants are encouraged to explore the profile of each investigator and identify the best match of research focus. Interested candidates should submit documents to Nadia Nimley at firstname.lastname@example.org and the applicable investigator (below):
1. Peng Jiang, Stadtman Investigator https://ccr.cancer.gov/cancer-data-science-laboratory/peng-jiang
2. Sridhar Hannenhalli, Senior Investigator https://ccr.cancer.gov/cancer-data-science-laboratory/sridhar-hannenhalli
3. Cenk Sahinalp, Senior Investigator https://ccr.cancer.gov/cancer-data-science-laboratory/s-cenk-sahinalp
4. Eytan Ruppin, Chief https://ccr.cancer.gov/cancer-data-science-laboratory/eytan-ruppin
Interested applicants should submit:
- Cover letter
- The names and contact information of three references
- A current curriculum vitae and complete bibliography (CV should include mentoring and outreach activities)
HHS, NIH, and NCI are Equal Opportunity Employers