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Deep Learning/Machine Learning Scientist- Brigham and Women’s Hospital

Employer
Brigham and Women’s Hospital
Location
Cambridge, Massachusetts
Salary
Commensurate with experience
Closing date
Feb 29, 2024

The Division of Gastroenterology, Hepatology and Endoscopy at Brigham and Women’s Hospital seeks a PhD-level deep learning/machine learning specialist with expertise in biomedical fields. We seek candidates who are deeply committed to advancing AI and high-throughput methods, aiming to uncover breakthroughs at the crossroads of chemistry, biology, engineering, and medicine, or those with aspirations to pioneer new drug delivery technologies. Experience delivering mRNA in vitro and in vivo, and demonstration of a broad application of computational methods to large drug delivery data sets will be prioritized. A proposed academic rank of Instructor in Medicine at Harvard Medical School and salary will be commensurate with qualifications and experience. The investigator is expected to participate in Harvard Medical School courses and workshops for medical students and fellows and to supervise postdoctoral fellows and graduate students in laboratory settings.

Brigham and Women's Hospital is an Equal Opportunity/Affirmative Action Employer and is actively committed to increasing the diversity of our faculty: women and members of underrepresented minority groups are therefore strongly encouraged to apply.

Candidates with a Ph.D. or M.D./Ph.D. are eligible to apply. Please send CV to: C. Giovanni Traverso, MD, PhD, Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women’s Hospital, 75 Francis Street, Boston, MA 02115-6195, or via e-mail to: ctraverso@bwh.harvard.edu.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

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