Lab Data Platform Engineer — End-to-End Data & ML Pipelines

Speedrun Talent Network; Boston (MA); On-site; USD 140,000 - 200,000; Full time

Job summary

Asimov is seeking a data platform engineer to own the path from bench to warehouse to model, blending lab insight with software development. You will standardize how our lab captures data and build ingestion tooling that makes the right way the easy way.

Design and run pipelines from instruments and ELN/LIMS into BigQuery and Kernel, ensure data quality, lineage and versioning, and deliver ML-ready datasets and APIs to power KernelAI and our modeling team.

Qualifications

• 8+ years building production data systems and ownership of data platform architecture.
• Strong Python and SQL skills with ability to ship backend services and APIs.
• Experience in biotech wet lab environments and handling messy lab data.
• Ability to turn ambiguous problems into scalable data systems adopted by scientists.

Responsibilities

• Standardize how the lab captures data and define sampling/measurement metadata.
• Own the lab data platform end to end, with ingestion tooling and data lineage.
• Model the biology and processes by linking designs to constructs and measurements.
• Deliver ML-ready datasets and APIs that surface lab results inside Kernel and KernelAI.
• Build reporting and dashboards with scientists to close the data-to-design loop.

Skills

Python

SQL

Data pipelines

Backend services

APIs

Data architecture

Tools

BigQuery

ELN/LIMS

Job description

Asimov is seeking a data platform engineer to own the path from bench to warehouse to model, blending lab insight with software development. You will standardize how our lab captures data and build ingestion tooling that makes the right way the easy way.

Design and run pipelines from instruments and ELN/LIMS into BigQuery and Kernel, ensure data quality, lineage and versioning, and deliver ML-ready datasets and APIs to power KernelAI and our modeling team.