Associate Director, Data Science, Targets, Oncology

Associate Director, Data Science, New Targets, Oncology

Location:

Cambridge, MA (On-site)

Salary range: $176,400 to $327,600 per year. Final salary will be determined based on relevant skills and experience, and includes a performance-based cash incentive and eligibility for annual equity awards.

• Lead and develop a team of data scientists, driving high-quality data science grounded in biology and applicable data science methodologies to identify new oncology drug targets.
• Co-develop and execute a data science strategy to enable and enhance innovation in the new targets space.
• Work closely with the Target Biology and Discovery (TBaD) team and the Oncology Drug Discovery Data Science teams to represent the New Targets data science function, manage the portfolio of New Targets projects, and drive collaborative innovation.
• Collaborate on the development and implementation of innovative machine learning algorithms, AI models, and platforms to deliver predictive and prescriptive insights with the Oncology Data Science AI team and other technology-focused teams.
• Contribute to the overall direction and management of Oncology Data Science as a member of the leadership team.
• Collaborate with Oncology Data Science engineering teams to ensure adherence to data standards, governance, and strategy.
• Play a leading role in matrix teams such as disease area teams or technology-centered teams (genomics, proteomics, spatial technologies).
• Present and externalize the team’s work at conferences, abstracts, and scientific journals.

• This position is located at the Cambridge, MA site and does not allow remote work; 5% travel (domestic or international) required.
• Ph.D. in data science, computational biology, or related field with a strong background in oncology, and a strong scientific mindset.
• 7+ years of experience in a data science role in oncology drug development or highly relevant academic functions.
• Excellent leadership and management skills with 3+ years of direct people management experience.
• Deep understanding of functional oncology targets such as mutated oncogenes and cell surface targets for modalities including antibody‑drug conjugates, CAR‑T, and/or radioligand therapies.
• Broad experience with genomics, proteomics data, and/or functional genomics data.
• Excellent communication skills to convey complex data insights and recommendations to cross‑functional teams and stakeholders.
• Proven history of contributions to the scientific community via papers and/or conference presentations.

• Specific experience with new target identification in oncology.
• Strong expertise in AI/machine learning and statistical modeling techniques.

US-based eligible employees receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a generous time‑off package including vacation, personal days, holidays and other leaves. For more details, review the handbook:
Benefits and Rewards.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people who collaborate, support and inspire each other. Read our strategy and culture:

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