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Bioinformatics Analyst Jobs in Indiana (NOW HIRING)

Research Biostatistician

Fort Wayne, IN · On-site

$26.85 - $40.27/hr

... analyze data, interpret findings, and support the publication of meaningful research. You'll work across a diverse range of healthcare research areas, including clinical, bioinformatics ...

... analysis, ADMET, and biomarker questions into modeling problems with clear success criteria ... Bioinformatics, Computational Chemistry), or a Master's degree with substantial handson ML/CV ...

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Bioinformatics Analyst information

See Indiana salary details

$6

$43

$78

How much do bioinformatics analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for bioinformatics 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 does a bioinformatics analyst do?

A bioinformatics analyst works with large databases of omics data, such as genomics studies like the Human Genome Project. Your responsibilities in this career include research on the pathology of diseases and the development of experiments and algorithms to find cures. Your duties also involve ensuring compliance with all federal regulations and protocols. You may document your findings and present them at conferences as well. A career as a bioinformatics analyst requires advanced writing skills for writing scientific literature.

What does a bioinformatics analyst do?

A Bioinformatics Analyst uses computational and statistical methods to analyze biological data, such as DNA, RNA, or protein sequences. They interpret large datasets generated by experiments, develop algorithms, and create visualizations to help researchers understand complex biological processes. Their work supports scientific discoveries in fields like genomics, medicine, and agriculture, often collaborating with biologists, computer scientists, and other researchers.

What are the key skills and qualifications needed to thrive as a bioinformatics analyst, and why are they important?

To thrive as a Bioinformatics Analyst, you need a strong background in biology, statistics, and computer science, typically supported by a relevant bachelor's or master's degree. Familiarity with bioinformatics tools like BLAST, Python/R programming, and experience with databases such as GenBank or Ensembl are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills enable analysts to extract meaningful insights from complex biological data, driving research and innovation in genomics and healthcare.

What are some common challenges faced by bioinformatics analysts when working with large genomic datasets?

One of the main challenges Bioinformatics Analysts encounter is managing and processing extremely large and complex genomic datasets, which often require advanced computational resources and efficient data management strategies. Ensuring data quality and accuracy while integrating information from various sources can also be demanding. Analysts frequently collaborate with biologists, clinicians, and IT professionals to interpret results and optimize workflows, which requires strong communication and interdisciplinary skills.

What is the difference between Bioinformatics Analyst vs Bioinformatics Technician?

AspectBioinformatics AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related field; experience with data analysis toolsAssociate's or Bachelor's; focus on data processing and laboratory support
Work EnvironmentResearch labs, biotech companies, healthcare institutionsLaboratories, research facilities, academic settings
Employer & Industry UsageUsed in research, healthcare, biotech industries for data interpretationUsed for data collection, sample processing, and technical support roles

The main difference is that Bioinformatics Analysts focus on analyzing complex biological data and interpreting results, often requiring advanced degrees. Bioinformatics Technicians typically handle data collection, sample preparation, and technical tasks, supporting analysts and researchers. Both roles are essential in the biotech and healthcare industries, but they differ in responsibilities and required qualifications.

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

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

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

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

What cities in Indiana are hiring for Bioinformatics Analyst jobs?

Cities in Indiana with the most Bioinformatics Analyst job openings:

Infographic showing various Bioinformatics Analyst job openings in Indiana as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $90,692 per year, or $43.6 per hour.

Postdoctoral Fellow in Medical and Molecular Genetics

Indiana University Academic Positions

Kokomo, IN • On-site

$42K - $58K/yr

Full-time

Re-posted 22 days ago


Job description

Position Details
Title Postdoctoral Fellow in Medical and Molecular Genetics Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Medical & Molecular Genetics Campus IU School of Medicine Indianapolis Position Summary
Postdoctoral Fellow in Neuropsychiatric Genetics
The Lai Laboratory in the Department of Medical and Molecular Genetics at the Indiana University School of Medicine is seeking highly motivated postdoctoral fellows to join our growing research team.

About the Lab
Our mission is to uncover the genetic and molecular basis of complex diseases and translate these discoveries into precision medicine. We develop computational and statistical methods while integrating human genetics, single-cell and multi-omics, large-scale biobank resources, and experimental disease models to identify disease mechanisms, discover therapeutic targets, and improve disease prediction, prevention, and treatment.
Our research focuses primarily on substance use disorders and neurodegenerative diseases, where we combine genomic discovery with functional validation and clinical investigation to develop clinically actionable polygenic scores, identify biomarkers and therapeutic targets, and advance genetically informed drug repurposing.
Our laboratory is supported by multiple NIH grants and internal funding and offers an outstanding collaborative environment with investigators across Indiana University and leading national and international research institutions. We are committed to helping postdoctoral fellows establish independent research programs through strong mentorship, high-impact publications, grant writing, and career development.
We especially welcome applicants with backgrounds in psychiatry, neuroscience, or neurobiology who are eager to develop expertise in statistical genetics and computational genomics. Our lab provides a collaborative environment with strong mentorship in quantitative methods, enabling fellows to integrate experimental and computational approaches to study complex brain disorders.
Responsibilities
The successful candidate will have the opportunity to:
  • Conduct innovative genetic and translational research in substance use disorders or neurodegenerative diseases.
  • Analyze large-scale genomic, single-cell, multi-omics, and biobank datasets.
  • Design research studies, analyze and interpret data, and prepare manuscripts for publication.
  • Present research at national and international conferences and organize scientific symposia.
  • Contribute to fellowship and NIH grant applications.
  • Lead independent research projects while collaborating with multidisciplinary teams.
  • Establish new scientific collaborations within and outside Indiana University.
Training and Career Development
Our goal is to prepare postdoctoral fellows for successful independent research careers. Fellows receive close mentorship and support from the PI, lab mates, and an interdisciplinary network of collaborators in genetics, neuroscience, psychiatry, computational biology and bioinformatics, statistics, and clinical research.
Training emphasizes:
Developing an independent research program
Publishing high-impact manuscripts
Scientific communication and leadership
Fellowship and NIH grant writing
Building a long-term academic career
This position is particularly well suited for candidates pursuing independent academic careers in psychiatric genetics, neurogenetics, or precision medicine.
IU School of Medicine is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.

Basic Qualifications
Required
  • PH.D. (or equivalent) in Psychiatry, Neuroscience, Neurobiology, Genetics, or related fields.
  • Strong interests in manuscript preparation and grant development.
  • Experience with statistical genetics, bioinformatics, genomics, or computational biology.
  • Experience using high-performance computing and/or cloud computing.
  • Ability to work independently as well as collaboratively in an interdisciplinary research environment.
  • Strong written and oral communication skills.
Preferred
  • Genome-wide association studies (GWAS)
  • Statistical genetics and polygenic scores
  • Single-cell RNA-seq, proteomics, or other multi-omics analyses
  • Artificial intelligence and machine learning
  • Biobank and electronic health record (EHR) analyses
  • Drug repurposing or translational genomics
  • R, Python, Linux or cloud computing platforms
Department Contact for Questions
Applicants should submit:
Curriculum Vitae
Brief statement of research interests and career goals
Contact information for three references
through the Indiana University academic careers portal via this link
https://indiana.peopleadmin.com/postings/34012
Applications will be reviewed on a rolling basis until the position is filled.

Dongbing Lai, Ph.D.
Associate Professor
Department of Medical and Medical Genetics
Center for Computational Biology and Bioinformatics
Indiana University School of Medicine
HS4059
410 W. 10th street, Indianapolis, IN, 46202
Email: dlai@iu.edu
Additional Qualifications Special Instructions Priority Application Review Deadline Expected Start Date Posting Number IUSM-02486-2026