Tenure Track/Tenure Eligible Positions

Center for Cancer Research - Bethesda, MD (30+ days ago)

The newly established Cancer Data Science Laboratory (CDSL), Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), in Bethesda, Maryland is recruiting Tenure-eligible or Tenure Track Investigators to join the Intramural Research Program’s mission of high-impact, high reward science. These positions, which are supported with stable financial resources, are the equivalent of Assistant Professor/Associate Professor/Professor in an academic department. The CDSL was formed in early 2018 with the mission of developing and harnessing a broad spectrum of computational approaches for analyzing and integrating cancer omics laboratory and patient data. The CDSL (https://ccr.cancer.gov/cancer-data-science-laboratory) will develop new, cutting-edge computational approaches and algorithms to this end, addressing fundamental research questions concerning cancer origin, evolution, progression and treatment, serving the cancer community at large. The lab will work in a highly collaborative and integrative manner with other CCR research labs 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, developing and applying computational approaches for analyzing large scale cancer data to apply. Areas of interest include, but are not limited to, cancer genomics and multi-omics analysis, single-cell analysis, deconvolution methods, electronic medical records analysis, cancer evolution and heterogeneity, and the analysis of cancer immunotherapy data.

About NCI's Center for Cancer Research

The Center for Cancer Research (CCR) is an intramural research component of the National Cancer Institute (NCI). CCR’s enabling infrastructure facilitates clinical studies at the NIH Clinical Center, the world’s largest dedicated clinical research complex; provides extensive opportunities for collaboration; and allows scientists and clinicians to undertake high-impact laboratory- and clinic-based investigations. Investigators are supported by a wide array of intellectual and technological and research resources, including animal facilities and dedicated, high quality technology cores in areas such as imaging/microscopy, including cryo-electron microscopy, chemistry/purification, mass spectrometry, flow cytometry, SAXS, genomics/DNA sequencing, genetically engineered mice, arrays/molecular profiling, and human genetics/bioinformatics, spanning both basic science and clinical data. For an overview of CCR, please visit http://ccr.cancer.gov/.

C.V. Required:

Number of References Required:

Bibliography Required:

Experience Required:
Applicants should hold a Ph.D. and/or M.D. degree or equivalent doctoral degree, have a substantive record of publications and the potential to develop an outstanding independent program in one or more of the computational approaches for analyzing large scale cancer data outlined above.

Additional Information:
This position is subject to a background investigation. Salary is commensurate with education and experience. A full benefits package is available, including retirement, health insurance, life insurance, long-term care insurance, annual and sick leave, Thrift Savings Plan (401K equivalent). This position is not restricted to U.S. citizens. The NIH is dedicated to building a diverse community in its training and employment programs.

How To Apply:Interested applicants should submit:
The names and contact information of three references
A current curriculum vitae and complete bibliography (CV should include mentoring and outreach activities)
A two-page summary of research interests, goals, and future plans
The search will remain open until a qualified applicant is found. Review of applications will begin on or about August 18, 2018.
Applications must be submitted electronically to https://irp-positions.nih.gov/job/CDSL.

Contact Name:
Marquita Broadus

Contact E-mail: