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Bioinformatics Data Scientist Jobs in Indiana (NOW HIRING)

STI

Bioinformatician

Indianapolis, IN · On-site

... data. • Specialized knowledge of current scientific methods and testing procedures and the ... Incumbent will be the subject matter expert on bioinformatics ascepts of NGS results generated in ...

Elanco

Advisor R&D

Indianapolis, IN

PhD in a quantitative field (e.g., Data Science, Engineering, Physics, Mathematics, Statistics, Bioinformatics, Computational Chemistry), or a Master's degree with substantial handson ML/CV ...

Elanco

Senior Research Scientist

Indianapolis, IN

$94K - $120K/yr

... reviews, bioinformatics, functional genomics, and AI/ML. Implement iterative "design-test-learn ... Leverage AI-augmented data analysis, digital phenotyping, and digital discovery platforms to ...

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All JobsBioinformatics Data Scientist JobsBioinformatics Data Scientist Jobs in Indiana

Bioinformatics Data Scientist information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do bioinformatics data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for bioinformatics data scientist in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What types of projects does a bioinformatics data scientist typically work on within a research or healthcare team?

Bioinformatics Data Scientists often work on projects involving the analysis of large-scale genomic, proteomic, or clinical datasets to identify patterns, biomarkers, or insights that drive scientific research or patient care. You might be responsible for developing pipelines for next-generation sequencing data, creating machine learning models for disease prediction, or integrating diverse biological datasets to support research objectives. Collaboration with biologists, clinicians, and software engineers is common, and you’ll likely present findings to multidisciplinary teams. This diverse project work not only helps advance scientific understanding but also provides valuable experience that can open doors to roles in research leadership or applied healthcare analytics in the future.

What does a bioinformatics data scientist do?

A bioinformatics data scientist analyzes biological data, such as genetic sequences and molecular structures, using computational tools and statistical methods. They develop algorithms, interpret large datasets, and collaborate with researchers to uncover insights related to health, genetics, and disease, often using programming languages like Python or R. Strong analytical skills and knowledge of biology are essential for this role.

What is a bioinformatics data scientist?

A Bioinformatics Data Scientist applies data science techniques to biological and genomic data to extract meaningful insights. They work with large datasets, develop algorithms, and use machine learning to analyze genetic sequences, protein structures, or clinical data. Their role often involves programming, statistical modeling, and data visualization to support research in healthcare, pharmaceuticals, and biotechnology. Strong skills in Python, R, and bioinformatics tools are essential, along with a solid understanding of biology and computational methods.

What are the key skills and qualifications needed to thrive as a bioinformatics data scientist?

To thrive as a Bioinformatics Data Scientist, you need a strong background in biology, statistics, and computer science, usually supported by a degree in bioinformatics or a related field. Expertise in programming languages such as Python or R, experience with data analysis tools, and familiarity with bioinformatics platforms like BLAST or Nextflow, along with certifications in data science or genomics, are highly valued. Strong problem-solving, communication, and teamwork skills enhance your ability to work across multidisciplinary teams. These skills are important because the role demands effective interpretation of complex biological data and collaboration to drive scientific discovery and innovative healthcare solutions.

What are the most commonly searched types of Bioinformatics Data Scientist jobs in Indiana?

The most popular types of Bioinformatics Data Scientist jobs in Indiana are:

What are popular job titles related to Bioinformatics Data Scientist jobs in Indiana?

For Bioinformatics Data Scientist jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Data Scientist jobs in Indiana look for?

The top searched job categories for Bioinformatics Data Scientist jobs in Indiana are:

Bioinformatics Data Scientist jobs near you
Infographic showing various Bioinformatics Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Bioinformatics Software Engineer

micro1 AI

Indianapolis, IN • 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.

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