Senior Expert I / Senior Expert II** Data Science
About this opportunity
What if your data science expertise could help shape safer medicines for millions of patients worldwide? As a Senior Expert I or Senior Expert II Data Science, you will apply advanced artificial intelligence, machine learning, and computational modelling to tackle complex scientific challenges and influence critical decisions across drug discovery and early development. Working within a highly collaborative, multidisciplinary environment, you will transform diverse biological and scientific data into meaningful insights that help identify risks earlier, accelerate innovation, and support the development of life-changing medicines.
#LI-Hybrid Location: Cambridge, Massachusetts, United States Relocation Support: This role is based in Cambridge, Massachusetts, United States. Novartis is unable to offer relocation support: please only apply if accessible. Key Responsibilities Develop innovative artificial intelligence and machine learning solutions to support critical scientific decision-making. Build scalable data pipelines that enable efficient analysis, model development, and insight generation. Apply advanced analytical methods to solve complex research and business challenges. Integrate diverse datasets to uncover meaningful patterns and actionable opportunities. Create predictive models that help identify risks and support informed decision-making. Partner with cross-functional experts to advance project goals and drive innovation. Ensure high standards of model quality, validation, reproducibility, and performance. Communicate complex findings clearly to both technical and non-technical audiences. Essential Requirements Doctorate degree in Data Science, Machine Learning, Statistics, Bioinformatics, Computational Biology, or a related field. Experience working with large and complex scientific, healthcare, or research datasets. Strong programming skills using Python or a comparable programming language. Experience building and deploying end-to-end data science and machine learning solutions. Strong understanding of statistics, predictive modelling, validation techniques, and performance evaluation. Experience working with databases and modern data processing technologies. Excellent collaboration, problem-solving, and communication skills within multidisciplinary environments. Desirable Requirements Experience in drug discovery, toxicology, predictive safety, or pharmacology. Experience with generative artificial intelligence, explainable artificial intelligence, graph machine learning or agentic workflows **Appointment level Senior Expert I / Senior Expert II will be determined based on the successful candidate's experience and qualifications. Commitment to Diversity & Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Equal Opportunity Employment Novartis provides equal employment opportunities to all qualified individuals. Employment decisions are made without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other protected characteristic in accordance with applicable laws. Compensation & Benefits Senior Expert I Data Science: $126,000.00 - 180,000.00 - 234,000.00 USD Annual per year; Senior Expert II Data Science: $138,600.00 - 198,000.00 - 257,400.00 USD Annual per year. Final compensation will be determined based on relevant skills, experience, qualifications, geographic location, and internal equity. In addition to base compensation, this position is eligible for a performance-based cash incentive and may be eligible for annual equity awards. US-based eligible employees receive health, life and disability benefits, a 401(k) plan with company contribution and match, wellbeing and financial benefits, and generous paid time off including vacation, personal days, holidays and other leave benefits.
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 92 comparable Senior Data & Digital roles across 23 biopharma companies.
Salary context
16 of 92 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.
Where these roles are based
Top locations among the 92 comparable roles
+ 7 more countries
Seniority mix
92 of 92 peers have a known seniority level
Therapeutic area mix
2 of 92 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
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.
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.
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.