Novartis Posted October 22, 2026

Senior Expert Data Scientist, Human Genetics

Cambridge (USA), United States FULL_TIME
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About this opportunity

#LI-OnSiteLocation: CambridgeThis position is located in Cambridge, MA and does not have the ability to be located remotely. Please only apply if this area is accessible to you.We are seeking a highly motivated computational scientist to join the Cardiovascular and Metabolic Disease (CVM) research organization at Biomedical Research (BR) in Cambridge, MA. In this role, you will apply human genetics, statistical genetics, and genomic data science to support new therapeutic target discovery and patient selection strategies across CVM diseases.The successful candidate will work closely with geneticists, computational biologists, disease-area scientists, translational researchers, and clinical development colleagues to generate actionable insights from human genetic and genomic data. This is an opportunity to contribute to innovative drug discovery programs and help advance genetically informed approaches to precision medicine.

Key ResponsibilitiesAnalyze and interpret whole exome/genome sequencing data to identify genetic variants, genes, and biological pathways associated with cardiovascular and metabolic diseases.Develop and apply statistical genetics and bioinformatics methods for variant annotation, association analysis, burden testing, rare-variant analysis, causal inference, and gene prioritization.Support the identification, evaluation, and validation of novel therapeutic targets using human genetic evidence and complementary genomic data sources.Contribute to patient selection and stratification strategies for research and clinical programs, including the identification of genetically defined patient subgroups.Integrate human genetics results with transcriptomic, proteomic, functional genomics, clinical, and other relevant data to develop disease and target insights.Collaborate with cross-functional project teams to define analytical strategies, interpret findings, and translate results into clear scientific recommendations.Develop reproducible, well-documented analytical workflows and contribute to best practices for genomic data analysis.Communicate results through presentations, written reports, scientific manuscripts, and internal project updates.Stay current with advances in human genetics, statistical genetics, genomic medicine, and computational methods relevant to drug discovery and development.Essential RequirementsPhD with 2-3+ years or MS with 6+ years of industry experience in human genetics, statistical genetics, computational biology, bioinformatics, epidemiology, biostatistics, or a related field.Postdoctoral research experience is preferred.Demonstrated experience analyzing whole exome/genome sequencing data, including variant quality control, annotation, filtering, association testing, and interpretation.Strong understanding of human genetics and statistical genetics principles, including rare-variant analysis and genotype-phenotype associations.Familiarity with genome-wide association studies, phenome-wide association studies, polygenic risk scores, Mendelian randomization, or functional genomics.Experience integrating genomic data with clinical, molecular, or multi-omic datasets.Programming and data analysis expertise in Python or R, along with proficiency in Linux or Unix-based computing environments.Knowledge of workflow management systems (Git), collaborative coding, and reproducible research practices.Ability to work with large-scale genomic datasets and use appropriate statistical and computational methods to derive biologically meaningful conclusions.Strong scientific communication, collaboration, and problem-solving skills.Preferred QualificationsExperience applying human genetic evidence to target discovery, target validation, or drug development.Novartis Compensation and Benefit Summary: The salary for this position is expected to range between $126,000 and $234,000 per year.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. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

Job details

Seniority
Senior
Function
Data & Digital
Therapeutic area
Not listed
Location
Cambridge (USA), United States
Employment type
FULL_TIME

How this role compares

Computed from every other active Data & Digital role in our database, not just this employer's listings.

We currently track 241 comparable Senior Data & Digital roles across 49 biopharma companies.

241Comparable roles tracked
216Currently active
49Companies hiring similar roles
24Countries represented

Salary context

67 of 241 peers report a salary range (USD, annualized)

Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.

This roleSubject $126,000/yr – $234,000/yr
Peer group range $103,700 – $265,400 (median $197,200)

Where these roles are based

Top locations among the 241 comparable roles

United States106
India53
United Kingdom17
Spain15
Germany6
Poland6

+ 18 more countries

Seniority mix

241 of 241 peers have a known seniority level

Senior114
Associate Director71
Principal56

Therapeutic area mix

9 of 241 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology5
Immunology1
Respiratory1
Dermatology & Aesthetics1
Neuroscience1

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The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

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How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

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Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.