Fred Hutch

Position ID:Fred Hutch-FAC1 [#15468]
Position Title: Assistant/Associate Member Faculty Position – Computational Biology and Biomedical Data Science
Position Type:Non tenure-track faculty
Position Location:Seattle, Washington 98109, United States
Subject Area: Life sciences / Biology
Appl Deadline: (accepting applications posted 2019/11/12, listed until 2020/05/12)
Position Description:    

Overview The Translational Data Science Integrated Research Center (TDS IRC) of the Fred Hutchinson Cancer Research Center invites applications for a faculty position at the rank of Assistant or Associate Member (equivalent to Assistant or Associate Professor). We seek candidates with biological or clinical research programs that develop and use novel computational methodologies, including algorithms or genome-scale biotechnologies, or that use multiple existing techniques together in innovative ways. We especially encourage applications from candidates whose research is related to one of the following: immuno-oncology, single-cell analysis, spatial transcriptomics, machine learning, or cancer genomics. Faculty rank will depend on qualifications and experience.

The Fred Hutchinson Cancer Research Center is a world-renowned research institution with a wide diversity of faculty research programs, spanning fundamental biological research, clinical disease-focused research, and population sciences. The Center has five Scientific Divisions:

* Basic Sciences, focused on fundamental biological research

* Human Biology, which blends fundamental, applied, and translational research performed in model organisms and in vitro systems

* Clinical Research Division, where researchers are continually developing new therapeutic approaches and leading clinical trials

* Vaccine and Infectious Diseases Division, focused on prevention and treatment of infectious diseases

* Public Health Sciences, where researchers apply statistical, behavioral, epidemiological, computational, and translational methods to reduce the incidence and mortality from cancer and other diseases

Fred Hutch faculty and administration are highly collegial, and strongly supportive of junior faculty.

The Translational Data Science Integrated Research Center (TDS IRC), which launched in November 2018, is a cross-divisional, collaborative research effort that will enable the Hutch to leverage recent advances — and spur future innovation — in large-scale biological experiments, computational methods and infrastructure. The TDS IRC promotes collaborative approaches to data science research across all five Scientific Divisions. Faculty rank will be dependent on qualifications and experience.

Qualifications

Applicants should have a PhD or MD. While we particularly encourage candidates with strong quantitative training (e.g., computer science, statistics, bioinformatics or related quantitative disciplines) to apply, candidates without these specific credentials, but who have significant interest in computational science and/or interest in developing new high throughput technologies (as proven by publications and/or grants), will also be considered. The candidate will receive an appointment in the Fred Hutch Scientific Division that is best suited to support the candidate's research program. Fred Hutch has state of the art research facilities, extensive Shared Resources (more information here) and excellent support for scientific computing.

At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek faculty members who bring new ways of seeing the world and solving problems. Fred Hutch is committed to ensuring that all candidates hired for faculty appointments share our commitment to diversity and inclusion.

Candidates should send a C.V., a concise statement of research plans and career goal and a diversity statement [describing your past contributions to diversity, equity, and inclusion and your future plans for continuing these efforts as a faculty member (one page or less).

Applications will be reviewed immediately and those received by December 1, 2019 will be guaranteed full consideration for the position. Applications that arrive after that date will be considered as long as the position remains open.

Equal Employment Opportunity Statement Fred Hutchinson Cancer Research Center is committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We are proud to be an Equal Opportunity and VEVRAA Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital or veteran status, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to our Employee Services Center at escmail@fredhutch.org or by calling 206-667-4700.


This employer is not accepting applications for this position through AcademicJobsOnline.Org. Please apply at https://apply.interfolio.com/67789.
Email: email
Postal Mail:
1100 Fairview Ave. N.
Web Page: fredhutch.org

© 2019 AcademicJobsOnline.Org. All Rights Reserved.