Bioinformatics Data Engineer: Shape Genomics Data Hybrid

Yahara Software

Madison (WI)

Hybrid

USD 120,000 - 150,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
Dental & Vision coverage
401(k) with match
Hybrid/remote schedule
On-site gym

Job summary

Yahara Software is seeking a Bioinformatics Data Engineer in Madison, WI to turn raw lab, genomics, and research data into clean, analysis-ready datasets. You’ll design data models and build repeatable pipelines, enabling researchers to query and reuse complex data efficiently.

You will apply statistics and exploratory analyses, create insightful visualizations, and mentor engineers while owning project delivery.

Qualifications

  • 6+ years in data science, data engineering, or software engineering.
  • Hands-on wrangling of large, messy datasets into usable form.
  • Knowledge of statistics and exploratory data analysis.
  • Experience leading technical work for a team.

Responsibilities

  • 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 data pipelines so analyses don’t start from scratch.
  • Apply statistical methods and exploratory analyses to reveal what data says.
  • Create visualizations to help researchers interpret results at a glance.
  • Build data quality checks to catch issues before results are produced.
  • Partner with scientists to understand the biology behind the data.
  • Own technical delivery for your project team and mentor engineers.
  • Present results, tradeoffs, and risks to clients in plain language.
  • Join pre-sales conversations with outlines and rough estimates.

Skills

Python
R
SQL
Data modeling
Nextflow

Tools

Postgres
SQL Server
Databricks
Jupyter

Job description

Yahara Software is seeking a Bioinformatics Data Engineer in Madison, WI to turn raw lab, genomics, and research data into clean, analysis-ready datasets. You’ll design data models and build repeatable pipelines, enabling researchers to query and reuse complex data efficiently.

You will apply statistics and exploratory analyses, create insightful visualizations, and mentor engineers while owning project delivery.

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