Scientist – Digital Discovery: Biological Data Systems & Machine Learning
Core
Designing data architectures and ML pipelines for biological discovery to enable a closed-loop engine between wet-lab experiments and digital modeling.
Role type
Scientist, Biological Data Systems & Machine Learning
Builds
ML-ready biological datasets, data models, schemas, and interoperable data systems for drug discovery
Domain
Biotechnology / Bioinformatics / Machine Learning
Deliverable
production ML models | product features
Required skills
Data modeling and schema design, Legacy data mining and curation, Feature engineering, Python or R programming, Machine learning approaches, Cross-functional collaboration
Preferred skills
Bioinformatics training, Wet-lab biology experience, Large-scale biological datasets, ETL pipelines, Scientific data platforms (e.g., Benchling)
Technologies
Benchling, Python, R
Responsibilities
Define and implement data models and schemas for biological data, Harmonize proprietary legacy discovery datasets, Translate experimental workflows into digital systems, Analyze large-scale biological datasets to generate insights, Develop tools and dashboards to improve data accessibility, Drive adoption of data platforms and best practices
Seniority
Senior, hands-on IC
