Scientific AI Platform Expert, Disease Area X

Novartis Group Companies; Cambridge (MA); Hybrid; USD 104,000 - 212,000; Full time

Job summary

Novartis Group of Companies in Cambridge, MA, is seeking a Scientific AI Platform Expert to build enterprise-grade AI analysis platforms accelerating drug discovery. You will lead multidisciplinary teams, operationalize generative AI, and shape the DAx AI data strategy while collaborating with enterprise IT.

You will design scalable omics pipelines, APIs, data products, ensure reproducible workflows, and guide project governance.

Qualifications

• 3+ years hands-on experience in scientific data science or engineering, AI/ML, in biopharma or tech.
• Experience building production-grade multimodal data platforms for omics data and metadata.
• Omics pipelines, MCP, LLM patterns, agent orchestration, and deep learning frameworks (e.g. PyTorch).
• Strong communication and collaboration across a matrix organization.

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 data products.
• Scale AI workflows using reproducible, transparent, secure, and FAIR data practices.
• Prioritize resources against evolving research needs.
• Provide input to project evaluation, deployment, lifecycle, and governance practices.
• Assist onboarding of external vendors and service providers.
• Present results via internal/external presentations, posters, publications, and technical documentation.

Skills

Python

SQL

PyTorch

Data engineering

Machine Learning

Omics pipelines

Cloud platforms

Data governance

Education

BS or MS in AI/ML or related discipline

Tools

Snowflake

Databricks

Palantir Foundry

AWS

Job description

Job Description Summary

The Scientific AI Platform Expert will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, contribute to shaping DAx AI data strategy, and collaborate with enterprise IT teams. This role reports to the Head of Data Science, DAx.

Job Description

Internal job title: Expert I/II, Data Science

Position Location

Cambridge, MA, Hybrid

This role is based in Cambridge, MA. Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you.

Job description Summary:

The Scientific AI Platform Expert will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape DAx AI data strategy, and collaborate with enterprise IT teams. This role reports to the Head of Data Science, DAx.

Key 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.
• Provide input to the team on project evaluation, deployment, lifecycle, and governance practices.
• Assist as needed with the onboarding of external vendors and service providers.
• Effectively provide input to the team on strategy, implementation details and results through internal and external presentations, posters, publications, and technical documentation.

Essential Requirements:

• BS or MS in AI/ML, data science/engineering, computational biology, bioinformatics, computer science/engineering, mathematics, physics, or a related discipline, with 3+ years of hands-on experience in scientific data science or engineering, AI/ML, computational research within the biopharma and/or technology industry. We will also consider qualified recent PhD graduates (within last 2 years).
• Experience building and operating production-grade multimodal data platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows.
• Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred.
• Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms.
• 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.

Desired Requirements:

• Demonstrated record of scientific or technical impact through publications, conference proceedings, open-source contributions, patents, or deployed data products.
• Experience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization.

Compensation & Benefits:

The salary for this position is expected to range between $103,600 and $192,400 USD annually for Expert I, Data Science, and $114,100 and $211,900 USD annually for Expert II, Data Science. The final salary offered is determined based on factors like, but not limited to, relevant skills andexperience, and upon joining Novartis will be reviewed periodically. Novartis may change the publishedsalary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of therole, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life anddisability benefits, a 401(k) with company contribution and match, and a variety of other benefits. Inaddition, 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 [e-mail] or call [phone] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$103,600.00 - $192,400.00

Skills Desired

Artificial Intelligence (AI), Biostatistics, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Generative AI, Graph Algorithms, Learning Agility, Logistic Regression Models, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Pandas Python Library, Python (Programming Language), R Programming, Statistical Analysis, Structured Query Language (SQL), Time Series Analysis