Bioinformatics Data Engineer
- Compensation
- Not disclosed
- Location
- Madison, Wisconsin, United States
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 6+ years
- Category
- Data engineering
- Posted
Skills
Nice to have
- Experience with lab, research, genomics, or bioinformatics data.
- Familiarity with LIMS, ELNs, or instrument data.
- Work in regulated environments (HIPAA, FDA, GxP, 21 CFR Part 11).
- Machine learning applied to scientific data.
- Consulting or client-facing project experience.
Full description
Bioinformatics Data Engineer
Love taking raw scientific data and turning it into something researchers can trust and use? Come work with a team shaping lab, research, and genomics data for life sciences startups, CROs, and instrument developers doing work that matters.
About Yahara:
We help scientific organizations solve hard problems and move their industries forward, from life sciences startups and CROs to the teams building lab software and scientific instruments. It's work we're proud of, and we're excited about the successes still ahead.
Join a team recognized as one of Madison Magazine's Best Places to Work, where innovation thrives and collaboration drives success. We don't just build software. We empower people and transform industries.
Important Notes about this Position:
- This is a hybrid position based out of our office in Madison, WI.
- We are unable to provide sponsorship.
The Opportunity:
You'll work on client projects where the data is the hard part: messy, high-volume, and scientifically complex. You'll clean it, structure it, and analyze it so scientists get answers faster. You'll set technical direction, grow the engineers around you, and be the person clients call when their data isn't telling them anything yet.
Our Approach:
We build on strong engineering fundamentals: solid methodology, rigorous testing, and sound architecture. We use AI tools like Claude and Codex where they speed up delivery, while keeping critical thinking and engineering discipline at the center. We own the quality, accuracy, and understanding of the code we ship.
What You’ll Do:
- Turn raw lab, research, and genomics data into clean, analysis-ready datasets.
- Design data models that make scientific data easy to query and reuse.
- Build repeatable pipelines so analysis doesn’t start from scratch every time.
- Apply statistical methods and exploratory analysis to find what the data is saying.
- Create visualizations that help researchers see results at a glance.
- Build data quality checks that catch problems before they reach a result.
- Partner with scientists to understand the biology behind the data.
- Own technical delivery for your project team: quality, pace, and direction.
- Mentor the engineers on your team through code reviews and one-on-one problem solving.
- Help engineers work through hard problems instead of solving them for them.