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From Home Bioinformatics Software Engineer Jobs in Madison, WI

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Software Engineer

Sun Prairie, WI · On-site

$70K - $100K/yr

You will contribute throughout the full product development lifecycle; from reviewing requirements ... home at i3. Benefits and Perks * Health insurance with a zero-dollar deductible and employee ...

Senior Software Engineer

Oregon, WI · On-site

$131.25 - $175/hr

We're building this engineering organization largely from the ground up, so we're looking for ... Solid software engineering experience, typically 5+ years* Strong full-stack development experience ...

Software Engineer II

Madison, WI · On-site

$98K - $134K/yr

Our embedded software engineers craft and innovate on truly unique complex controls platforms. As ... In support of those primary development efforts, you'll work with internal customers from a wide ...

Software Engineer II

Madison, WI · Hybrid

$98K - $134K/yr

Our embedded software engineers craft and innovate on truly unique complex controls platforms. As ... In support of those primary development efforts, you'll work with internal customers from a wide ...

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From Home Bioinformatics Software Engineer information

See Madison, WI salary details

$43.3K

$132.1K

$240.3K

How much do from home bioinformatics software engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for from home bioinformatics software engineer in Madison, WI is $132,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $158,200.00 per year, depending on experience, location, and employer.

What is the difference between From Home Bioinformatics Software Engineer vs From Home Data Scientist?

AspectFrom Home Bioinformatics Software EngineerFrom Home Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skills in Python, R, JavaBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in Python, R, SQL
Work EnvironmentRemote, often collaborating with research labs, biotech firms, or healthcare companiesRemote, working with tech companies, finance, or healthcare organizations
Industry UsagePrimarily in biotech, healthcare, and research institutionsAcross tech, finance, healthcare, and consulting sectors

Both roles often require strong programming skills and a background in data analysis. The main difference lies in their focus: Bioinformatics Software Engineers specialize in biological data and research applications, while Data Scientists work across various industries analyzing diverse data sets. Both roles are increasingly remote and collaborative, making them suitable for from-home work environments.

What are popular job titles related to From Home Bioinformatics Software Engineer jobs in Madison, WI?

For From Home Bioinformatics Software Engineer jobs in Madison, WI, the most frequently searched job titles are:

What cities near Madison, WI are hiring for From Home Bioinformatics Software Engineer jobs?

Cities near Madison, WI with the most From Home Bioinformatics Software Engineer job openings:

Bioinformatics Software Engineer

micro1 AI

Madison, WI • Remote

$80 - $110/hr

Part-time

Posted 11 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.