Description
**What you will do**
Let’s do this. Let’s change the world. We are seeking a Senior Data Scientist to join the AI & Data for Engineered Biologics team within Amgen’s Large Molecule Discovery (LMD) organization. In this vital role, you will advance data-driven prediction and design of fit-for-purpose proteins by developing machine learning models that connect sequence, structure, biophysical measurements, and experimental outcomes to biomolecular developability and structural tractability. Your work will reduce reliance on trial-and-error workflows, improve the probability of experimental success, and guide construct and condition selection for large-molecule discovery.
The successful candidate will work in a highly collaborative, multidisciplinary environment, partnering with protein scientists, structural biologists and ML engineers to support decisions from early design through sample generation and structural characterization.
**KEY RESPONSIBILITIES**
+ Develop and apply machine learning models to predict sequence-to-property relationships.
+ Develop scalable, reproducible data-processing, feature-generation, model-training, and evaluation workflows for large-scale biological datasets.
+ Design, implement and train state-of-the-art foundation models including protein language models, diffusion models, or other generative approaches using multimodal biological data.
+ Develop interpretable and uncertainty-aware modeling approaches that quantify confidence and support decision-making.
+ Apply active learning and Bayesian optimization to guide experimental design and iterative improvement of protein design workflows.
+ Collaborate cross-functionally with experimental teams to define modeling objectives, prioritize experiments, and interpret results.
+ Communicate scientific findings clearly through presentations, written summaries and discussions with technical and non-technical stakeholders.
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. The dynamic 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 predictive machine learning models for biological, structural, biophysical, or experimental outcome data.
+ Strong programming skills in Python and experience with modern machine learning frameworks such as PyTorch
+ Experience with Python scientific computing tools, such as numpy, scipy, pandas, etc.
+ Experience with protein language models, representation learning, transfer learning, and generative modeling.
+ Experience with uncertainty estimation, model validation, calibration, and generalizability assessment across experimental conditions.
+ Familiarity with active learning, Bayesian optimization, design-of-experiments, or closed-loop experimental workflows.
+ 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.
