Senior Software Engineer, Clinical Data

The Opportunity

insitro integrates diverse data modalities—from in vitro cellular models to large-scale human clinical datasets—to identify disease mechanisms and therapeutic targets. Our clinical data software team uses, builds, and deploys software to develop novel phenotypes from high dimensional clinical data, and perform genome-wide association studies (GWAS) and downstream statistical genetics analyses.

In this role, you will develop data pipelines, statistical computing infrastructure, and tools that enable our scientists to analyze complex clinical and genomic datasets 'll work at the intersection of data engineering, platform development, and scientific computing, collaborating closely with computational biologists, statistical geneticists, and machine learning researchers to accelerate our drug discovery efforts.

This role will report to the Senior Manager, Clinical Data and can be either hybrid coming onsite to our South San Francisco headquarters or remote with travel to the office as work necessitates; local candidates will have the option of a hybrid approach with three days per week in the office.

• Design, develop, and scale platform capabilities required to design, run, and interpret ML-powered screens

• Build and evolve interactive interfaces for data exploration, quality assessment, and visualization to help scientists iterate quickly on experimental data

• Partner with statistical geneticists and ML scientists to translate complex experimental needs into clear, actionable technical plans and high-quality, shipped software

• Set and uphold best-in-class practices for data integrity, lineage, reproducibility, and observability across the entire clinical discovery lifecycle

• BS or MS in Computer Science, Bioinformatics, Statistics, or related field and 2-4+ years of software engineering experience

• Strong programming skills in Python, with experience building production data pipelines and APIs

• Experience with relational databases (Postgre
  
  SQL, MySQL), SQL, schema design, and query optimization

• Familiarity with cloud platforms (AWS, GCP, or Azure) for data processing and storage at scale

• Understanding of software engineering best practices: version control, code review, testing, containerization, infrastructure-as-code, CI/CD, and a demonstrated ability to write clean, maintainable code and contribute to shared codebases

• Experience with data processing libraries (e.g., pandas, Polars), workflow orchestration tools (e.g., redun, Airflow, Nextflow, Snakemake) and distributed data processing frameworks (e.g., Ray, Dask, Spark)

• Ability to collaborate effectively across disciplines and translate scientific requirements into robust technical solutions

• Strong communication skills and comfort working in a team-oriented, research-driven environment

Our target starting salary for successful US-based applicants for this role is $155,000 - $210,000. To determine starting pay, we consider multiple job-related factors including a candidate's skills, education and experience, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.

This role is eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies.

In addition, insitro also provides our employees:

• 401(k) plan with employer matching for contributions

• Excellent medical, dental, and vision coverage as well as mental health and well-being support

• Open, flexible vacation policy

• Paid parental leave of at least 16 weeks to support parents who give birth, and 10 weeks for a new parent (inclusive of birth, adoption, fostering, etc)

• Quarterly budget for books and online courses for self-development

• Support to attend professional conferences that are meaningful to your career growth and role's responsibilities

• New hire stipend for home office setup

• Monthly cell phone & internet stipend

• Access to free onsite baristas and cafe with daily lunch and breakfast for employees who are either onsite or…