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Postdoctoral Scholar - Oncology

Novartis Institute of Biomedical Research
Job Location
250 Massachussetts Ave
Cambridge, MA 02139
United States
Job Description

The Novartis Institutes for BioMedical Research (NIBR) is the innovation engine of Novartis. We collaborate across scientific and organizational boundaries, with a focus on powerful new technologies that have the potential to help produce therapeutic breakthroughs for patients.

The Oncology department is seeking a postdoctoral scholar to work in the bioinformatics laboratory of Javad Golji, PhD, with co-supervision by Mariela Jaskelioff, PhD, on a machine learning and artificial intelligence project aimed at predicting efficacious drug combinations. 

Drug combination therapies are at the forefront of innovative cancer treatment – especially for tumors that have become resistant to targeted single-agent therapies. With a specific focus on treating MAPK pathway driven tumors, the goal will be to deploy machine learning and AI approaches to discover genetic, epigenetic, and gene expression patterns to predict novel drug combination therapies. Findings from the data mining effort will be experimentally validated. 

We are looking for a motivated, innovative, and courageous candidate eager to collaborate across disciplines. The successful candidate will join a vibrant scientific community and collaborate with other postdoctoral fellows mentored by a range of scientists across disciplines and platforms, including chemistry, structural biology, molecular biology, functional genomics, neurophysiology and translational medicine. Postdoctoral scholars at NIBR have a unique opportunity to conduct innovative, interdisciplinary research and are expected to publish their results in leading journals. The postdoctoral term is up to 4 years. EEO StatementThe 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.


•PhD in computational biology, statistics, computer science, biomedical informatics, or a related field (PhD students in the last year of their thesis work, are eligible to apply)
•Familiar with fundamental concepts in molecular biology, statistics, and bioinformatics
•Fluency in one or more programming languages with bioinformatics applications (e.g. Python or R)
•Experience with current analysis methods for AI, particularly deep learning. 
•Experience with statistical methods for mining 'omics data (genomics, epigenetics, proteomics) and/or NGS data strongly preferred
•Experience in cancer genomics, immunology / immuno-oncology, clinical and translational science strongly preferred
•Strong publication record
•Excellent analytical, communication and organizational skills
•Candidates must be able to work independently as well as with interdisciplinary teams

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