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Lead data science strategy and execution for drug discovery programs, focusing on multi-omics analytics and AI/ML applications. Manage a multidisciplinary team of scientists to translate complex biological data into decision-driving insights for target and biomarker discovery.
Requires an advanced degree (PhD preferred) in a quantitative or life sciences discipline and 6+ years of experience in computational biology or AI/ML within drug discovery. Must have demonstrated leadership experience and proficiency in Python/R and cloud-based compute platforms.
Internal Job Title: Senior Principal Scientist or Associate Director
Position Location: Cambridge, MA Hybrid
Lead data science strategy and execution for hypothesis-driven discovery programs, including study design, analysis of experiments, and interpretation of complex biological datasets.
Drive multi-omics analytics across genomics, transcriptomics, proteomics, single-cell, spatial, imaging, clinical, and other relevant data modalities to support target and biomarker portfolios.
Translate scientific questions into computational strategies, selecting fit-for-purpose statistical, machine learning, AI, and bioinformatics approaches.
Operationalize responsible use of generative and/or agentic AI tools in drug discovery workflows, ensuring scientific rigor, data governance, and appropriate human oversight.
Contribute hands-on technical work in scientific software development, data engineering, workflow automation, reproducible analysis, and scalable analytical pipelines.
Partner cross-functionally with wet-lab scientists, translational researchers, platform teams, and senior stakeholders to shape experimental design and accelerate decision-making.
Prioritize resources and capabilities across multiple projects, adapting to evolving portfolio needs and balancing strategic impact with delivery timelines.
Lead, coach, and develop direct reports, creating a collaborative, inclusive, scientifically rigorous, and high-performing team environment.
Communicate scientific findings and recommendations clearly through internal presentations, governance discussions, publications, posters, and external scientific forums.
Promote FAIR data practices, reproducible research, high-quality documentation, project tracking, and scalable analytical standards across the team.
Advanced degree (PhD preferred) in Data Science, Computational Biology, Bioinformatics, Computational Science, Molecular Biology, Genetics, Biochemistry, Engineering, or a related quantitative or life sciences discipline.
6+ years of relevant experience applying computational biology, bioinformatics, AI/ML, statistics, or data science to drug discovery, translational research, biotechnology, pharmaceutical R&D, technology, or academic research.
Experience leading or managing internal data scientists, computational biologists, bioinformaticians, or machine learning scientists in a matrix management environment as well as external collaborators
Demonstrated ability to lead complex, hypothesis-driven scientific analyses using biological, multi-omics, or translational datasets, including RNA-seq, single-cell RNA-seq, proteomics, genomics, spatial biology, and/or imaging.
Strong practical experience with scientific software development, reproducible analysis, workflow orchestration and collaborative development practices; experience in Python and/or R, with familiarity in tools such as GitHub, HuggingFace, workflow managers, Jupyter notebooks, containers
Deep experience with cloud-based or enterprise-scale compute platforms, high-performance computing
Significant experience influencing and collaborating across diverse scientific teams, including wet-lab biology, translational research, engineering, and computational functions.
Familiarity with modern AI/ML methods and their application to biological or biomedical data (i.e. generative, agentic AI)
Experience acquiring, curating, and engineering proprietary and public datasets while maintaining appropriate data governance, privacy, and security standards.
Demonstrated ability to shape scientific strategy cross-functionally, influence senior stakeholders, and translate analytical results into portfolio-relevant decisions.
Track record of scientific impact through publications, conference presentations, internal decision support, or portfolio contributions.
Strong communication, interpersonal, ethical judgment, resilience, and self-awareness skills.
The salary for this position is expected to range between $160,300 and $297,700 USD annually for Senior Principal Scientist, Data Science, and $176,400 and $327,600 USD annually for Associate Director, Data Science. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.
Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.
US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
To learn more about the culture, rewards and benefits we offer our people click here.
The Novartis Group of Companies are Equal Opportunity Employers. 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 strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com 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.
https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings
Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide. Find out more at https://www.novartis.com See our community guidelines: https://go.novartis.social/3Nboxki
Offices: Novartis Campus, Basel, Baselstadt 4002, CH · One Health Plaza, East Hanover, NJ 07936, US · Calle 93B S-31, Bogota, Bogota, D.C. 110541, CO · Merrion Road, Dublin, County Dublin, IE · Na Pankraci 1724/129, Prague, Prague 140 00, CZ
