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Bioinformatics Computational Biology Jobs in Indiana

micro1 AI

Bioinformatics Software Engineer

Carmel, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is ... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Fishers, IN · Remote

$80 - $110/hr

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is ... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

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Bioinformatics Computational Biology information

What are bioinformatics and computational biology?

Bioinformatics and computational biology are interdisciplinary fields that use computer science, mathematics, and statistics to analyze and interpret biological data. Bioinformatics focuses primarily on developing methods and software tools for understanding biological data, especially large datasets such as genomic sequences. Computational biology involves creating mathematical models and computational simulations to study the behavior of biological systems. Both fields play a crucial role in advancing research in genomics, drug discovery, and personalized medicine.

What are bioinformatics computational biology jobs?

Bioinformatics and computational biology jobs involve the application of computational biology and other methods to analyze biological data. As a biologist in bioinformatics and computational biology, you create datasets to test and validate each stage of new product development. Industries that utilize bioinformatics professionals include agriculture, health sciences, academics, and genetics. In this role, your responsibilities include overseeing technology development, analyzing statistics on new products, running research experiments, and documenting test results. Scientists and assistants who work in labs prepare experiments, collaborate with groups of other scientists and laboratory assistants, and use computer programs and spreadsheets to track and document results.

What are the key skills and qualifications needed to thrive as a bioinformatics computational biologist?

To thrive as a Bioinformatics Computational Biologist, you need a strong background in molecular biology, statistics, and computer science, often supported by an advanced degree in bioinformatics or a related field. Expertise in programming languages (such as Python, R, or Perl), experience with high-throughput sequencing data, and familiarity with bioinformatics tools and databases are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with research teams. These skills are crucial for extracting meaningful biological insights from large datasets and advancing scientific discovery.

How do bioinformatics computational biologists typically collaborate with wet lab researchers in a research setting?

In a research environment, bioinformatics computational biologists work closely with wet lab scientists to design experiments, interpret large-scale biological data, and validate computational findings. Collaboration often involves regular meetings to discuss project goals, data quality, and analysis strategies, ensuring that computational approaches align with biological questions. This partnership is crucial for integrating experimental and computational workflows, which helps accelerate discoveries and improves the accuracy of results. Effective communication and a willingness to learn from each other are key to successful interdisciplinary teamwork.

What is the difference between Bioinformatics Computational Biology vs Bioinformatics Analyst?

AspectBioinformatics Computational BiologyBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computational Biology, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, academia, biotech companies, computational research settingsHealthcare, research institutions, biotech firms, data analysis roles
Employer & Industry UsageResearch-focused roles in academia, biotech, pharmaData analysis and interpretation in healthcare and biotech sectors

Bioinformatics Computational Biology involves developing and applying computational models to understand biological systems, often focusing on algorithm development and data simulation. In contrast, Bioinformatics Analysts primarily interpret biological data, perform data analysis, and generate reports. Both roles require strong computational skills and biological knowledge but differ in their focus on research versus data interpretation.

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What are the most commonly searched types of Bioinformatics Computational Biology jobs in Indiana?

The most popular types of Bioinformatics Computational Biology jobs in Indiana are:

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For Bioinformatics Computational Biology jobs in Indiana, the most frequently searched job titles are:

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The top searched job categories for Bioinformatics Computational Biology jobs in Indiana are:

Bioinformatics Computational Biology jobs near you
Infographic showing various Bioinformatics Computational Biology job openings in Indiana as of August 2026, with employment types broken down into 64% Full Time, 33% Part Time, and 3% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution.

Bioinformatics Software Engineer

micro1 AI

Carmel, IN • Remote

$80 - $110/hr

Part-time

Posted 21 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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