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Computational Biologist/Data Scientist - Palo Alto, United States - Stanford University
Description
Assistant, Associate, or Full Professor
Stanford Cardiovascular Institute
Division of Cardiovascular Medicine
The Stanford Cardiovascular Institute and the Division of Cardiovascular Medicine in the Department of Medicine at Stanford University invite applicants for a faculty position at the rank of Assistant, Associate or Full Professor in the Non-Tenure Line (NTL-R) as a Computational Biologist/Data Scientist. The successful applicant should hold a PhD or equivalent credentials in a relevant discipline, be working at the Assistant, Associate, or Full Professor level or equivalent. The ideal applicant will have a proven track record of funding for relevant projects, with the anticipation that they will be able to lead their own laboratory at Stanford. Mentorship of post-MD, post-PhD and other trainees would be an advantage. However, candidates with expertise in other areas of computational, bioengineering or quantitative physiology are encouraged to apply. While not mandatory, there is a preference for expertise in cardiovascular disease.
Faculty rank and line will be determined by the qualifications and experience of the successful candidate.
For more information about the position, including required qualifications and application materials, go to:
Applications will be reviewed beginning May 1, 2024, and accepted until position is filled.
For questions, please contact Junie Urbano, Faculty Affairs Specialist for Recruitment at
The Department of Medicine, School of Medicine, and Stanford University value faculty who will help foster an inclusive academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and outlooks. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these ideals. Additional information about Stanford's IDEAL initiative may be found here:
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University's research, teaching and clinical missions.