Expert I Data Science

Novartis Institutes for BioMedical Research, Inc. (NIBR) is seeking a computational biologist / bioinformatics analyst to join the Oncology Data Science group. Data Science provides computational biology expertise to the Oncology department, from target identification through early clinical development, for multiple therapeutic modalities (small molecules, biologics, immunotherapies, radioligand therapies). We work at the cutting edge of science to solve important challenges in oncology and improve cancer patients’ lives, leveraging both publicly available and internally generated expansive preclinical and clinical data sets. The successful candidate will be highly motivated, creative, and an effective collaborator.
Your responsibilities will include:

• Deepening our understanding of drug resistance and strategies to overcome it
• Formulating testable biological hypotheses and collaborating in the design of rigorous preclinical experiments
• Working closely with interdisciplinary teams of wet lab and dry lab collaborators to analyze and interpret high-dimensional biological data (e.g., bulk RNA-seq, single-cell RNA-seq, CRISPR screens, proteomics) to inform critical project decisions
• Identifying novel drug targets on cancer cells, immune cells, and/or other cell types in the tumor microenvironment
• Implementing and developing state-of-the-art computational methods and data mining strategies to address key challenges in oncology drug discovery

This opportunity is located at the Novartis Cambridge (MA) site and will not have the ability to be located remotely. Relocation assistance will not be available.
The pay range for this position at commencement of employment is expected to be between $102,400 and $153,600 per year; however, while salary ranges are effective from 1/1/23 through 12/31/23, fluctuations in the job market may necessitate adjustments to pay ranges during this period. Further, final pay determinations will depend on various factors, including, but not limited to geographical location, experience level, knowledge, skills and abilities. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
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 other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
Minimum Requirements
What you’ll bring to the role:

• Experience analyzing ‘omics data (e.g., genomics, epigenetics, proteomics) preferred
• Fluency in one or more programming languages (e.g., Python, R, MATLAB)
• Knowledge of cancer biology, genomics, and/or immuno-oncology preferred
• Familiarity with fundamental concepts in bioinformatics, statistics, and cell biology
• M.S. (or B.S. with equivalent experience) in computational biology, bioinformatics, data science, systems biology, statistics, computer science, or a related field
• Experience analyzing high-dimensional data sets
• Very strong written and oral communication skills

Why Novartis?
766 million lives were touched by Novartis medicines in 2021, and while we’re proud of this, we know there is so much more we could do to help improve and extend people’s lives.
We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working.
We believe our potential can thrive and grow in an unbossed culture underpinned by integrity, curiosity and flexibility. And we can reinvent what's possible, when we collaborate with courage to aggressively and ambitiously tackle the world’s toughest medical challenges. Because the greatest risk in life, is the risk of never trying!
Imagine what you could do here at Novartis!
Commitment to Diversity & Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Accessibility and Reasonable Accommodations: Individuals in need of a reasonable accommodation due to a medical condition or disability for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1 (877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network
Division
Novartis Institutes for BioMedical Research
Business Unit
Oncology NIBR
Country
USA
Work Location
Cambridge, MA
Company/Legal Entity
NIBRI
Functional Area
Data Science
Job Type
Full Time
Employment Type
Regular
Shift Work
No
Early Talent
Yes