Scientific AI Platform Lead, Data Science, Disease Area X

About the Company

Responsibilities

• ● Translate scientific and operational AI needs into impactful, decision-enabling solutions.
• ● Hands-on design, build, and sustain scalable AI-focused omics pipelines, APIs, and integrated data products.
• ● Scale AI workflows using reproducible, transparent, secure, and FAIR data practices.
• ● Prioritize resources against evolving research needs.
• ● Establish rigorous project evaluation, deployment, lifecycle, and governance practices.
• ● Mentor, train and coach wet lab scientists, data scientists, engineers, and cross-functional teams.
• ● Provide oversight and onboarding of external vendors and service providers.
• ● Effectively communicate strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation.

Requirements

• ● PhD in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline with equivalent practical experience.
• ● We will also consider qualified MS degree applicants with 5+ years of relevant post-graduate experience.
• ● + years of hands-on experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industry
• ● Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms.
• ● Demonstrated record of scientific or technical impact through publications, conference proceedings, open-source contributions, patents, or deployed data products.
• ● Deep practical experience in software or data engineering (i.e. agile), including Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes (i.e. Snowflake, Databricks, Palantir Foundry, AWS).
• ● Strong communication, interpersonal, ethical, self-awareness, and customer service skills.
• ● Compensation & Benefits:
• ● The salary for this position is expected to range between 126,000 and 234,000 USD annually for Senior Expert I, Data Science, and 138,600 and 257,400 USD annually for Senior Expert II, 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 .
• ● EEO Statement:
• ● 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, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
• ● Accessibility and reasonable accommodations
• ● 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 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.
• ● Salary Range 126,000.00 - 234,000.00