Senior Data Engineer, Bioinformatics, Cheminformatics, Materials

Highlights

• Turn raw lab instrument outputs into validated, analysis-ready datasets.
• Build canonical datasets that scientists and AI researchers can trust.
• Accelerate scientific discovery by powering AI with trustworthy data.

What they offer

• Bonus potential
• Generous early-stage equity
• Medical, dental and vision coverage
• Employer-paid life and disability insurance
• Flexible time off with company holidays
• Paid parental leave
• Educational assistance program
• Commuter benefits and subsidized lunch program

Ideal candidate

A data-minded problem solver who loves turning messy lab measurements into trusted datasets and partnering with scientists and AI researchers to accelerate discovery.

Requirements

• 2-6 years experience in data engineering, bioinformatics, cheminformatics or computational science
• Strong Python skills with typed, tested, production-quality code
• Strong SQL skills, especially with Postgres or similar relational databases
• Experience building ETL pipelines, data models and reusable transformations
• Data science foundation including statistics and pandas, NumPy or similar tools
• Experience translating noisy scientific measurements into validated datasets
• Workflow orchestration experience, ideally Flyte, Airflow, Prefect, Dagster or Nextflow
• Active use of AI coding tools in day-to-day engineering work