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From Home Bioinformatics Software Engineer Jobs in Markle, IN

micro1 AI

Bioinformatics Software Engineer

Fort Wayne, IN · Remote

$80 - $110/hr

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

Evotek Recruiting

Sr. Software Engineer

Fort Wayne, IN · On-site

$95 - $140/hr

Enjoy a flexible schedule, including the option to work from home one day a week, ensuring harmony ... Your Role As a Senior Software Engineer , you'll: * Design, develop, and maintain enterprise-level ...

Sharetec

Senior Software Engineer

Fort Wayne, IN · On-site

$120K - $140K/yr

Someone who thrives on owning their work from database design to deployed UI, not just executing ... software engineering experience with demonstrated full stack ownership * Strong proficiency in ...

Raytheon

Principal Software Engineer

Fort Wayne, IN

$133K - $178K/yr

Wayne, IN is looking to add a Software Engineer to their development team. We align to the core ... For onsite roles, commuting to and from the assigned site is the employee's personal responsibility.

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All JobsBioinformatics Software Engineer JobsFrom Home Bioinformatics Software Engineer JobsFrom Home Bioinformatics Software Engineer Jobs in Markle, IN

From Home Bioinformatics Software Engineer information

See Markle, IN salary details

$39.3K

$119.9K

$218.2K

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

As of Aug 25, 2026, the average yearly pay for from home bioinformatics software engineer in Markle, IN is $119,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $143,600.00 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 cities near Markle, IN are hiring for From Home Bioinformatics Software Engineer jobs?

Cities near Markle, IN with the most From Home Bioinformatics Software Engineer job openings:

From Home Bioinformatics Software Engineer jobs near you
Infographic showing various From Home Bioinformatics Software Engineer job openings in Markle, IN as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $119,886 per year, or $57.6 per hour.

Bioinformatics Software Engineer

Fort Wayne, IN • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $110/hr

Part-time

Posted 23 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.

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