Design, build, and maintain data processing pipelines for complex scientific datasets (chemical, biological, HTE, and automation-generated data)
Develop RESTful APIs and microservices providing unified programmatic access to LIMS, ELNs, instruments, data warehouses (Postgres, Redshift, Snowflake), and analytical databases
Support continuous improvement of LIMS and adjacent systems to meet evolving scientific workflows, security, and scalability standards
Build ML deployment pipelines—experiment tracking, model versioning (MLflow, W&B), containerized serving, monitoring, and automated retraining
Collaborate with Methods4Insight to operationalize cheminformatics, statistical, and AI/ML models as production APIs
Develop agent-ready APIs with structured error handling, audit trails, and monitoring supporting agent autonomy and human oversight
Build software enabling closed-loop experimentation: agents design, automation executes, data flows back, models update

B.S. or M.S. in Computer Science, Bioinformatics, Computational Biology, Cheminformatics, Chemistry, Biology, Biomedical Engineering, or related STEM field
5–10+ years of scientific software development experience, with understanding of experimental data types and scientific workflows
Proficiency in Python and at least one additional language (Java, C#, Go, TypeScript, or Rust); strong SQL skills
Experience building RESTful APIs, data pipelines, and/or microservices for scientific or technical applications

Eligibility to participate in a company-sponsored 401(k)
Pension
Vacation benefits
Eligibility for medical, dental, vision and prescription drug benefits
Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
Life insurance and death benefits
Certain time off and leave of absence benefits
Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

Technical Lead – Software Developer, Data Foundry

Key skills