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From Home Bioinformatics Software Engineer Jobs in Minnesota

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

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

Success in this role comes from curiosity, ownership, collaboration, consistent delivery, and a commitment to continuous improvement. As a Software Engineer II, you'll work as an active member of an ...

Success in this role comes from curiosity, ownership, collaboration, consistent delivery, and a commitment to continuous improvement. As a Software Engineer II, you'll work as an active member of an ...

Embedded Software Engineer Join a dynamic team as an Embedded Software Engineer, where you will ... Participate in the core phases of the software development lifecycle, from low-level design to ...

Software Engineer II

Saint Paul, MN · On-site

$100K - $125K/yr

From embedded systems and industrial automation to robotics, medical devices, IoT, cloud platforms ... home. Come build what doesn't exist yet. Quick Facts * Founded: 2019 * Company: ~50 people ...

Who We Are At JonnyPops, our team is empowered to make an impact at work every day - from producing ... The Senior Software Engineer is a founding technical member of that team. You will not just write ...

... from helping other team members succeed Process Focus...ability to apply DMAIC and improve software ... Certified Scrum Developer, Master, or Product Owner Experience with Lean Startup framework a plus ...

We are seeking an early career Software Engineer to join our Engineering Innovation team. In this ... Compensation for this position ranges from $68,000 - $84,000 based on education and experience. ITW ...

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From Home Bioinformatics Software Engineer information

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 job categories do people searching From Home Bioinformatics Software Engineer jobs in Minnesota look for? The top searched job categories for From Home Bioinformatics Software Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for From Home Bioinformatics Software Engineer jobs? Cities in Minnesota with the most From Home Bioinformatics Software Engineer job openings:
Infographic showing various From Home Bioinformatics Software Engineer job openings in Minnesota as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

Bioinformatics Software Engineer

micro1 AI

Minneapolis, MN • Remote

$80 - $110/hr

Part-time

Posted 10 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.