2 days ago
Base Salary
$126k - $257k/yr
Responsibilities
- Translate scientific and operational AI needs into decision-enabling solutions.
- 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 project evaluation, deployment, lifecycle, and governance practices.
- Mentor, train, and coach wet lab scientists, data scientists, engineers, and cross-functional teams.
- Oversee onboarding and collaboration with external vendors and service providers.
- Communicate strategy, implementation details, and results through presentations, posters, publications, and technical documentation.
Requirements
- PhD in AI/ML, data science or engineering, computational biology, bioinformatics, computer science or engineering, mathematics, physics, or a related discipline, with equivalent practical experience accepted.
- At least 3 years of hands-on experience in scientific data science or engineering, AI/ML, or computational research within biopharma and/or the technology industry.
- Experience building and operating production-grade multimodal scientific data platforms involving omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows.
- Preferred experience with genomics or transcriptomics pipelines, MCP, LLM patterns, biological foundation models, agent orchestration, and deep learning frameworks such as PyTorch.
- Familiarity with agentic frameworks such as Claude Science, Biomni, Gemini, or other open-source co-scientist platforms.
- Demonstrated scientific or technical impact through publications, conference proceedings, open-source contributions, patents, or deployed data products.
- Deep practical experience with software or data engineering, Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes such as Snowflake, Databricks, Palantir Foundry, or AWS.
- Experience leading and supporting diverse science or engineering teams and influencing stakeholders in a matrix organization.
- Strong communication, interpersonal, ethical, self-awareness, and customer service skills.
Benefits
- Hybrid position based in Cambridge, Massachusetts; applicants must already be able to access the location because relocation support is not available.
- Eligible US employees receive health, life, and disability benefits, a 401(k) with company contribution and match, and other benefits.
- Employees receive vacation, personal days, holidays, and other leave.
- Compensation includes a performance-based cash incentive and potential eligibility for annual equity awards depending on role level.
Categories
AI ApplicationsData Engineering
About Novartis
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