Senior Data Scientist
About this opportunity
Career Category
Clinical
Job Description
What you will do
Let's do this. Let's change the world. We are seeking a Senior Data Scientist with strong expertise in machine learning and predictive modeling to join the AI & Data for Engineered Biologics team within Amgen's Large Molecule Discovery (LMD) organization. In this vital role you will enable data-driven design and optimization of biologics by developing models that predict key developability and therapeutic properties. You will work with sequence, structure, and experimental datasets to generate actionable insights and guide discovery decisions.
The successful candidate will work in a highly collaborative, multidisciplinary environment, partnering with different experimental teams to build predictive models, train and evaluate protein foundation models, and design active-learning strategies that improve data generation and candidate optimization.
Key Responsibilities
Develop and apply predictive machine learning models for biologics properties, including developability and clinical immunogenicity-related endpoints
Train, fine-tune, and evaluate foundation models for sequence/structure-to-property prediction and biologics design
Integrate multimodal data, including protein sequence, structure, imaging, assay, and experimental metadata, to improve predictive performance and model robustness
Design active learning, uncertainty-aware, or Bayesian optimization strategies to prioritize experiments and guide data generation across modalities
Build reproducible modeling workflows and evaluation frameworks that support rigorous model comparison, validation, and deployment-readiness
Collaborate cross-functionally with scientists and software engineers to translate machine learning innovation into actionable insights for biologics discovery and optimization
Communicate scientific findings and modeling strategies through presentations, technical documentation, and cross-functional forums
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The collaborative professional we seek is a Senior Data Scientist with these qualifications.
Basic Qualifications
Doctorate degree with 4+yrs in Data Science, Computer Science, Computational Biology, Bioinformatics, Computational Chemistry, or a related field
Or
Master's degree and 8+ years of directly related experience
Preferred Qualifications
Experience developing machine learning models for biological, protein engineering, drug discovery or immunology applications
Strong proficiency in Python and experience with modern deep learning frameworks such as PyTorch
Experience with Python scientific computing tools, such as numpy, scipy, pandas, etc.
Experience with foundation models, representation learning, sequence-to-property modeling, and multimodal learning
Experience integrating sequence, structural, assay, imaging, and metadata sources into reliable, model-ready datasets
Proven ability to apply active learning, Bayesian optimization, uncertainty quantification and model interpretation to scientific problems
Experience working with large-scale datasets and in high-performance computing environments, including cloud-based platforms (e.g., AWS)
Familiarity with reproducible machine learning and software engineering practices, including version control (git), testing, containerization (Docker), workflow orchestration, data versioning, or experiment tracking.
Strong scientific communication skills, with publications in leading ML, computational biology, or protein science venues such as NeurIPS, ICML, ICLR, ISMB, Nature Biotechnology , Nature Methods , Cell Systems , MABS, PNAS or comparable conferences and journals; candidates should highlight representative publications on their resume.
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Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 378 comparable Senior Information Technology roles across 34 biopharma companies.
Salary context
45 of 378 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 378 comparable roles
+ 15 more countries
Seniority mix
378 of 378 peers have a known seniority level
Therapeutic area mix
0 of 378 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
No peers with a known therapeutic area yet.
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.