PhD Scientist, Oncology Target ID and Validation (TIDVAL)

Job Location
Cambridge, MA 02139
Job Description

The Oncology Department is seeking a highly motivated PhD scientist to join the Target ID and Validation (TIDVal) team in Cambridge, MA. We apply large scale genomic analyses, pooled shRNA and CRISPR screening, and other cutting edge technologies to identify and validate novel oncology and immune oncology targets. Our ultimate goal is to systematically identify a clear path to drug discovery for novel target classes that will have major impact for the benefit of cancer patients. 

The ideal candidate for this position will have a proven track record of innovation in genetics, cell biology, and molecular biology, and a deep knowledge of cancer biology. Experience using shRNA, CRISPR, or other genome editing techniques to interrogate cellular phenotypes is essential. Any experience with cell-based methods to systematically interrogate protein function (e.g. deletion mapping, deep mutational scanning, CRISPR tiling) is highly desired. Immune oncology experience is a plus. This position will require outstanding technical ability at the bench as well as a proven ability to effectively manage team and/or collaborative interactions. 
EEO Statement The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.


Minimum requirements The candidate should have a Ph.D. in Genetics, Molecular Biology, Biochemistry, Cell Biology or related field and a minimum of 5 years of industry or academic relevant experience. The position involves multiple collaborative projects so strong organizational, communication, and teamwork skills are essential.

How to Apply

Apply at

An analysis appearing in PeerJ finds that social media mentions of a paper may lead to increased citations.

NIH's Michael Lauer looks at the number of grants, their amount, and funding success rates at the agency for last year.

At Nature, Johns Hopkins' Gundula Bosch describes her graduate program that aims to get doctoral students thinking about the big picture.

Patricia Fara writes about childcare funding, and women in science and science history at NPR.