Oncology Bioinformatics Scientist - Cambridge, MA | Biospace
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Oncology Bioinformatics Scientist

Novartis Oncology

Cambridge, MA
Posted Date:
Position Type:
Full time
Job Code:
Required Education:
Areas of Expertise Desired:

Job Description

We are seeking a bioinformatics scientist to join the Novartis Oncology Bioinformatics Team to help us develop cutting edge cancer therapies and get them to patients who will benefit. Oncology Bioinformatics provides computational biology expertise to the department, with a focus on applications of high-throughput genomic and biomarker data to target identification, drug discovery, and clinical development. The successful candidate will be highly motivated, creative, and an effective collaborator. Their responsibilities will include:

• Working closely with clinical teams to analyze and interpret biomarker data from clinical trials (e.g. next-gen sequencing, IHC, proteomics).

• Contributing to translational research efforts by working with teams to digest clinical study findings, and by supporting translational genomics, model characterization, and data mining efforts.

• Working with drug discovery teams to apply genomic profiling to target discovery, drug mechanism elucidation, and patient stratification efforts.

• Implementing and developing state-of-the-art computational methods and data mining strategies to address key challenges in oncology drug discovery (e.g. drug resistance, difficult-to-drug targets, harnessing anti-tumor immunity).

• Formulating testable hypotheses, and collaborating in the design of rigorous experiments
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.


• A Ph.D. in bioinformatics, biostatistics, computer science or related field

• Demonstrated expertise in statistics and statistical learning, with practical experience applying AI methodologies a plus

• Fluency in one or more programming languages with bioinformatics applications (e.g. Python, R, Perl)

• Excellent communication skills and a track record of successful collaboration with cross-functional teams

• Experience with current analysis methods for next-generation sequencing data preferred

• Knowledge of cancer genomics, immunology, clinical and translational science preferred