Bioinformatics & AI Engineer
amgen
Job Description
- Design, develop, validate, and operate foundation-model-enabled applications for genomics, transcriptomics, single-cell and spatial omics, proteomics, imaging, and clinical data.
- Adapt and evaluate biological foundation models, protein and sequence models, multimodal models, and large language models for biomarker discovery, target identification, patient stratification, and scientific decision support.
- Build robust model development workflows spanning data curation, representation learning, fine-tuning or parameter-efficient adaptation, retrieval augmentation, evaluation, and monitored deployment.
- Engineer scalable, reproducible pipelines for preparing and harmonizing multi-omics and clinical datasets, with clear provenance, versioning, quality controls, and fit-for-purpose access controls.
- Develop agentic workflows that combine foundation models with validated bioinformatics tools, structured knowledge, and human review to support research planning, quality control, analysis execution, and result interpretation.
- Define rigorous benchmarking and validation strategies, including biological relevance, robustness, bias assessment, uncertainty, hallucination risk, and reproducibility for models and AI-enabled workflows.
- Partner on real world data projects and establish utility for precision medicine applications
- Partner with computational biology, wet-lab, clinical, data engineering, and product teams to translate scientific needs into usable, well-documented technical solutions.
- Develop production-ready services and interfaces using cloud and GPU infrastructure; optimize performance, cost, reliability, and observability for large-scale data and model workloads.
- Produce clear technical documentation, model cards, evaluation reports, and methods descriptions suitable for internal review, regulated development contexts, and scientific publication.
- Troubleshoot end-to-end platform and pipeline issues, promote engineering best practices, and contribute to a culture of scientific rigor and responsible AI use.