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Bioinformatics Data Analyst Jobs in Indiana (NOW HIRING)

Genetics Tutor

Bloomington, IN ยท Remote

$40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Genetics Tutor

Fort Wayne, IN ยท Remote

$40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Genetics Tutor

Valparaiso, IN ยท Remote

$40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Genetics Tutor

Indianapolis, IN ยท Remote

$40/hr

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Ability to explain linkage analysis, Hardy-Weinberg equilibrium, and gene regulation models while ... Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to ...

Position Summary We are rebuilding the Design-Make-Test-Analyze (DMTA) cycle, infusing scientific ... Design and implement cloud-native data pipelines connecting lab instruments, databases, and AI ...

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Bioinformatics Data Analyst information

See Indiana salary details

$6

$43

$78

How much do bioinformatics data analyst jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for bioinformatics data analyst in Indiana is $43.60, according to ZipRecruiter salary data. Most workers in this role earn between $34.33 and $46.68 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bioinformatics Data Analyst, and why are they important?

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

What is the difference between Bioinformatics Data Analyst vs Bioinformatics Scientist?

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

How do Bioinformatics Data Analysts typically collaborate with researchers and other team members in a multidisciplinary environment?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What are Bioinformatics Data Analysts?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.
What cities in Indiana are hiring for Bioinformatics Data Analyst jobs? Cities in Indiana with the most Bioinformatics Data Analyst job openings:
Postdoctoral Fellow, Biology

Postdoctoral Fellow, Biology

Indiana University

Bloomington, IN โ€ข On-site

$45K - $61K/yr

Full-time

Posted 2 days ago


Job description

Posting Details
Position Details
Title
Postdoctoral Fellow, Biology
Appointment Status
Non-Tenure Track
Department
IU Bloomington Biology
Location
Bloomington
Position Summary
The department of Biology is a large, unified department with strong undergraduate degrees, nationally-ranked graduate programs, and world-class research spanning the breadth of biological questions and experimental systems - from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for Biology - enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the department, you can find it here:About: Department of Biology: Indiana University Bloomington.
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information.
The Department of Biology at Indiana University Bloomington invites applications for a post-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith The lab- in the Evolution,Ecology, and Behavior section-investigates machine learning approaches for spatial population genetics. Our research integrates custom neural architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI.
Basic Qualifications
Core job duties include: (1) Designing, implementing, and overseeing research projects focused on methods development for understanding genetic variation within and between populations, (2) building computational pipelines for conducting simulation experiments and analyzing genomic sequencing data, (3) writing scientific publications and presenting findings at conferences.
Other general responsibilities include: Actively participating in lab meetings and discussions.
Education and experience required: Ph.D. in computational biology, bioinformatics, computer science, or a related field. Demonstrated experience leading computational research projects is required for the proposed research. Expertise in population or evolutionary genetics is preferred but not required.
Required skills:
โ€ข Experience with Python
โ€ข Experience with high performance computing
โ€ข Development of reproducible analysis pipelines
โ€ข Strong time management and organizational skills
โ€ข Ability to work effectively as a team
โ€ข Excellent written and oral communication
โ€ข Dependability, initiative, and professionalism
Preferred skills:
โ€ข Experience with population genetics.
โ€ข Experience with deep learning libraries (e.g., PyTorch, TensorFlow) and development.
Working conditions/demands: The role requires the ability to move about within an office environment.
Department Contact for Questions
To apply: Please submit (1) a cover letter describing your research and educational background, career goals, why you are interested in the position, and the date you are available to start; (2) a current CV; (3) the names and contact information for two references. This can be submitted at the following link: https://indiana.peopleadmin.com/postings/32511
For questions about the position contact Chris Smith (chriscs@iu.edu).
Timing and compensation: Review of applicants will begin May 1 and continue until the position is filled. The ideal start is June 1, although the starting date can be adjusted to suit the candidate. The initial appointment is for one year, with potential reappointment for additional years contingent upon satisfactory performance and funding availability. Salary will be commensurate with experience and full benefits are included.
Additional Qualifications
Salary and Rank
Special Instructions
For Best Consideration Date
05/01/2026
Expected Start Date
06/01/2026
Posting Number
IU-101520-2026