Staff Data Platform Engineer — Lab Data & ML Pipelines

Asimov; Boston (MA); On-site; USD 120,000 - 190,000; Full time

Job summary

Asimov in Boston is seeking a data engineer who will own the lab data platform end to end, building ingestion tooling that standardizes samples, conditions and measurements from instruments to our warehouse and Kernel.

You should have 8+ years building production data systems, strong Python and SQL, and experience in biotech labs to turn ambiguous data into robust, scalable data products used by scientists and partners.

Qualifications

• 8+ years building production data systems
• Strong Python and SQL, shipping backend services and APIs
• Experience in biotech labs and handling lab data
• Able to turn ambiguous, first-of-its-kind problems into reusable systems

Responsibilities

• Standardize how the lab captures data and define the recording of samples, conditions and measurements
• Own the lab data platform end to end; design/run pipelines from instruments to warehouse (BigQuery) and Kernel with quality checks and lineage
• Model the biology and process by building schemas linking designs, constructs, cell pools, bioprocess and measurements
• Feed models and products by delivering clean ML-ready datasets and ship APIs/services to surface lab results
• Enable science by building deterministic and agentic reporting and dashboards with scientists

Skills

Python

SQL

Data pipelines

Backend services

APIs

BigQuery

Data modeling

Cloud platforms

Job description

Asimov in Boston is seeking a data engineer who will own the lab data platform end to end, building ingestion tooling that standardizes samples, conditions and measurements from instruments to our warehouse and Kernel.

You should have 8+ years building production data systems, strong Python and SQL, and experience in biotech labs to turn ambiguous data into robust, scalable data products used by scientists and partners.