Principal Applied Researcher - MSR AI for Science

Microsoft; Sachsen-Anhalt; Vor Ort; EUR 120.000 - 160.000; Vollzeit

Zusammenfassung

A leading technology company in Germany is seeking a Principal Applied Researcher to lead efforts in biomolecular modeling for drug discovery. The role involves significant collaboration with pharmaceutical partners and requires a PhD in a related field. The ideal candidate should have a strong research background in biomolecular structure/dynamics and proficiency in Python programming. This position offers an opportunity to make a substantial impact in the scientific community.

Qualifikationen

• PhD or equivalent research experience in Chemistry, Biophysics, Physics, Computer Science, Bioinformatics or a related field.
• Track record of impactful research.
• Fluency in building scalable Python pipelines.
• Comfortable with real-world data that lack structure/cleanliness/completeness.
• Fluency building scalable Python pipelines; experience running large studies or analyses on cloud/HPC.

Aufgaben

• Lead application of BioEmu at scale to generate insights for drug discovery.
• Model biomolecular structure and dynamics at scale using diverse tools.
• Collaborate with drug designers and external partners.
• Support and oversee data generation at scale; design prospective studies with wet-lab teams; plan sample selection and data governance.
• Generate biological hypotheses and insights by integrating biomolecular data into experimentally-testable predictions.
• Guide pipelines for large-scale inference on Azure; ensure cost-aware compute/storage; codify best practices in code and docs.
• Communicate results to diverse audiences; draft clear narratives for leadership; mitigate risks with concrete plans.
• Mentor and uplift applied researchers and engineers.

Kenntnisse

Research in biomolecular structure/dynamics

Technical communication

Python programming

Data analysis on HPC or cloud

Machine learning for biology

Ausbildung

PhD or equivalent in relevant field

Tools

Azure

BioEmu

Jobbeschreibung

Principal Applied Researcher - MSR AI for Science

At Microsoft Research AI for Science, we believe machine learning and artificial intelligence has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society including sustainable materials and discovery of new drugs.

We seek a highly motivated Principal Applied Researcher to join our Biomolecular Emulator (BioEmu) team. The BioEmu project aims to model the dynamics and function of proteins - how they change shape, bind to each other, and bind small molecules. This approach will help us to understand biological function and dysfunction on a structural level and lead to more effective and targeted drug discovery.

Responsibilities

• Scientific leadership without silos: lead an effort to apply BioEmu at scale to generate biological insights and hypothesis for drug discovery. Be the principal contact point for world-leading collaborators and drug hunters. Contribute to and closely align with project leadership to strive for maximum impact. Prioritize team success over personal agenda.
• Model biomolecular structure and dynamics at scale: Use BioEmu, structure/sequence databases, and complementary tools to analyze proteins and complexes.
• Collaboration with drug designers & external partners: Lead day-to-day technical collaboration with pharma/biotech partners and CROs; define joint objectives, success metrics, and Go/No-Go criteria; ensure traceability and reproducibility of decisions.
• Support and oversee data generation at scale: Design prospective studies with wet-lab teams (e.g., binding/kinetics assays, structural campaigns such as cryo-EM or crystallography); plan sample selection via active learning/uncertainty; manage data quality, metadata standards, and data rights.
• Generate biological hypotheses and insights: Integrate biomolecular structure and dynamics data to generate experimentally-testable predictions and biological insights.
• Systems & tooling at scale: Guide robust pipelines for large-scale inference/analysis on Azure; ensure cost-aware compute/storage use; codify best practices in code and documentation.
• Stakeholder communication: Author clear technical narratives for collaborators and internal leadership; present results credibly to mixed audiences; preempt risk with measurable mitigation plans.
• Mentor & uplift: Manage and coach applied researchers and engineers.

Qualifications

Required:

• PhD or equivalent research experience in Chemistry, Biophysics, Physics, Computer Science, Bioinformatics or a related field.
• Track record of impactful research on biomolecular structure/dynamics or ML for biology (e.g., strong publications, open-source, or shipped analyses).
• Excellent technical communication for interdisciplinary work.
• Comfortable with real-world data that lack structure/cleanliness/completeness.
• Fluency building scalable Python pipelines; experience running large studies or analyses on cloud/HPC.

Preferred:

• Industry experience in pharma/biotech or industrial research.
• Experience guiding large-scale experimental data generation (e.g., cryo-EM campaigns, screening, binding/functional assays), including QC/QA, metadata, and data governance.
• Familiarity with model-guided experimental design (active learning) and uncertainty quantification.
• Experience with distributed ML training/inference and cost/performance trade-offs on HPC or cloud systems.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.