Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Scientific AI Platform Lead, Data Science, Disease Area X
Cambridge (USA)
Live, first seen by us 30 days ago- Pay
Multiple pay statements — pay source
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.
Salary Range $126,000.00 - $234,000.00 Skills Desired
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 postingDesign, build, and sustain scalable AI-focused omics pipelines, APIs, and data products
Translate scientific and operational AI needs into decision-enabling solutions
Scale AI workflows using reproducible, transparent, secure, and FAIR data practices
Set 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 qualificationsCore 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
Benefits in the posting
Full benefits wording- 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.
- EEO Statement:
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 6, 202630 days ago
- Recorded sightings
- 83
- Last seen by us
- Nov 5, 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 30
Similar jobs usually come down between day 6 and day 70.
At Novartis, jobs usually come down by about day 26.
From 4,481 similar postings that came down, and 117 of Novartis’s. Coming down is not always a hire.
Novartis is hiring
45 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Databricks
- Snowflake
- 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.
Your next step
Complete your application on novartis.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
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.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
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: 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 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.
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.
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 us.reasonableaccommodations@novartis.com 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
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 AnalysisSource details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
More source context
Salary Range $126,000.00 - $234,000.00 Skills Desired
- Location & working pattern
Cambridge (USA)
Internal Job Title: Senior 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.