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Bioinformatic Analyst Jobs in Indiana (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Fishers, IN · On-site +1

$90 - $120/hr

Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software. * Excellent written communication skills to clearly explain complex scientific concepts to ...

micro1 AI

Cheminformatics Specialist - Remote

Carmel, IN · On-site +1

$90 - $120/hr

Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software. * Excellent written communication skills to clearly explain complex scientific concepts to ...

Indiana University

Research Associate

Bloomington, IN · On-site

... Bioinformatics Location Bloomington Position Summary Research Associate - Indiana University ... analysis, PCR, library construction for next-generation sequencing; provide technical support and ...

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All JobsBioinformatic Analyst JobsBioinformatic Analyst Jobs in Indiana

Bioinformatic Analyst information

See Indiana salary details

$29.5K

$69.7K

$123.7K

How much do bioinformatic analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for bioinformatic analyst in Indiana is $69,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $82,800.00 per year, depending on experience, location, and employer.

What is the average salary for a bioinformatic analyst?

The average salary for a bioinformatic analyst typically ranges from $70,000 to $100,000 annually, depending on experience, education, and location. Professionals with advanced skills in programming, data analysis, and familiarity with tools like R or Python tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as a bioinformatic analyst?

To thrive as a Bioinformatic Analyst, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Proficiency in programming languages like Python or R, experience with next-generation sequencing (NGS) data analysis tools, and familiarity with databases such as GenBank are typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for extracting meaningful insights from biological data and advancing research or clinical objectives.

What are some common challenges a bioinformatic analyst faces when working with large-scale genomic data?

One of the primary challenges for Bioinformatic Analysts is managing and analyzing massive datasets generated by next-generation sequencing technologies. Ensuring data quality, handling data storage, and optimizing computational resources are critical aspects of the role. Analysts must also develop or adapt pipelines to process complex data efficiently and accurately, often collaborating closely with biologists, statisticians, and IT specialists. Staying updated on rapidly evolving tools and best practices is essential to ensure high-quality, reproducible results.

Is bioinformatics well paying?

Bioinformatic analysts typically earn competitive salaries that vary by experience, education, and location. Entry-level positions often start around $60,000 annually, with experienced professionals earning over $100,000, especially in biotech or pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like R or Python can enhance earning potential.

What does a bioinformatic analyst do?

A Bioinformatic Analyst uses computational tools and techniques to analyze biological data, such as DNA, RNA, or protein sequences. They work closely with researchers and scientists to interpret complex datasets, identify patterns, and draw meaningful conclusions that can advance scientific understanding or medical research. Their responsibilities may include processing raw data, developing algorithms, and creating visualizations to present results. Bioinformatic Analysts often work in fields like genomics, pharmaceuticals, and biotechnology.
What are popular job titles related to Bioinformatic Analyst jobs in Indiana? For Bioinformatic Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Bioinformatic Analyst jobs in Indiana look for? The top searched job categories for Bioinformatic Analyst jobs in Indiana are:
Bioinformatic Analyst jobs near you
Infographic showing various Bioinformatic Analyst job openings in Indiana as of July 2026, with employment types broken down into 84% Full Time, 9% Part Time, 1% Temporary, and 6% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $69,712 per year, or $33.5 per hour.

Computational Biologist - AI Reviewer

micro1 AI

South Bend, IN • On-site, Remote

$90 - $120/hr

Part-time

Posted 9 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer 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 annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

Apply