(Senior) Software Engineer, Clinical Data

Insitro•South San Francisco, CA

26d•$155,000 - $210,000•Hybrid

About The Position

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 at scale. You'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.

Requirements

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 (PostgreSQL, 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

Responsibilities

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

Benefits

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 hybrid
Access to free onsite fitness center for employees who are either onsite or hybrid
Access to a free commuter bus and ferry network that provides transport to and from our South San Francisco HQ from locations all around the Bay Area