Scientific AI Platform Lead, Data Science, Disease Area X

Basel (City)

Actively hiring, first seen by us 5 days ago

Pay: Multiple pay statements — pay source
Salary Range: CHF102,200.00 - CHF189,800.00 Job Description Summary
At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen. Expected Annual Base Salary Range for role: CHF 102.200- CHF 189.800 The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.
Read the full posting
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Build and maintain scalable omics pipelines, APIs and integrated data products
Translate scientific and operational AI needs into decision-enabling solutions
Scale AI workflows using reproducible, transparent, secure, and FAIR data practices
Set up project evaluation, deployment, lifecycle and governance practices
Mentor and coach scientists, engineers and cross-functional teams

From the employer’s posting

Hands-on design, build, and sustain scalable AI-focused omics pipelines, APIs, and integrated data products.

Translate scientific and operational AI needs into impactful, decision-enabling solutions.

Scale AI workflows using reproducible, transparent, secure, and FAIR data practices.

Establish rigorous project evaluation, deployment, lifecycle, and governance practices.

Mentor, train and coach wet lab scientists, data scientists, engineers, and cross-functional teams.

What you’ll bring

All qualifications

Core experience

3+ years of hands-on experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industry
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.
Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini or other open-source co-scientist platforms.
Experience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization.
Strong communication, interpersonal, ethical, self-awareness, and customer service skills.

Qualification wording

3+ years of hands-on experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industry

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.

Experience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization.

Strong communication, interpersonal, ethical, self-awareness, and customer service skills.

Education & alternatives

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.

- 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. - 3+ years of hands-on experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industry

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Posting record

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Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 30, 20265 days ago
Recorded sightings: 6
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 5

Early. Similar jobs usually come down between day 6 and day 69.

From 4,296 similar postings that came down. Coming down is not always a hire.

Novartis is hiring

46 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

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Python
SQL
AWS
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PyTorch

Where the posting names them

- 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). - Experience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization.

Skills Desired Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis

- 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.

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Has Novartis posted this job before?

Yes. We’ve followed one other Scientific AI Platform Lead, Data Science, Disease Area X job there since October 2026. It is still up.

CambridgeStill up after 29 days, first seen Oct 6
This jobUp 6 days so far, first seen Oct 30

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Salary Range:

CHF102,200.00 - CHF189,800.00

Job Description Summary

The Scientific AI Platform Lead 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.

Job Description

Internal job title: Senior Expert I/II, Data Science

Position Location: Basel, Switzerland (Hybrid)

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

Job description Summary:

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.

3+ years of hands-on experience in scientific data science or engineering, AI/ML, computational research within biopharma and/or technology industry

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.

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).

Experience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization.

Strong communication, interpersonal, ethical, self-awareness, and customer service skills.

Benefits & Rewards:

At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.

Expected Annual Base Salary Range for role: CHF 102.200- CHF 189.800

The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Long-term equity awards granted at group level may also be part of your package. Further details will be provided during the application process.

Read our brochure to learn more about our global total rewards offering:

https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.

Commitment to Diversity and Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Accessibility and Accommodation:

Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to diversity.inclusion_ch@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Skills Desired

Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis

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