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Bioinformatics Data Analyst Jobs in Indiana (NOW HIRING)

STI

Bioinformatician

Indianapolis, IN · On-site

... bioinformatics side of NGS utilizing advanced computational methods to analyze the results obtained from NGS assays. The incumbent should have experience with developing primer/probe sets, data ...

micro1 AI

Bioinformatics Software Engineer

Carmel, IN · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Bioinformatics Software Engineer

Fishers, IN · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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All JobsBioinformatics Data Analyst JobsBioinformatics Data Analyst Jobs in Indiana

Bioinformatics Data Analyst information

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$43

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How much do bioinformatics data analyst jobs pay per hour?

As of Aug 14, 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?

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 collaborate with researchers and other team members?

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 is a bioinformatics data analyst?

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

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

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

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

What cities in Indiana are hiring for Bioinformatics Data Analyst jobs?

Cities in Indiana with the most Bioinformatics Data Analyst job openings:

Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst 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 $90,692 per year, or $43.6 per hour.

Bioinformatics Analyst

Indiana University

Indianapolis, IN • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 28 days ago

Job description

One of the first human genetics departments in the country, the Department of Medical and Molecular Genetics at Indiana University (IU) School of Medicine has a rich history of training geneticists and genetic counselors and providing genetic consultation and counseling services. Currently ranked 5th in the nation among Genetics Departments for National Institutes of Health (NIH) Funding, received in 2023, the department contributes to the understanding of numerous genetic conditions through the integration of basic research in genetic and genomic mechanisms, translational research in disease models, and clinical trials in rare and common genetic diseases.
Job Summary
The Bioinformatics Analyst supports translational and basic science research by providing expertise in the analysis and interpretation of large-scale biological datasets. The position collaborates closely with faculty and trainees to design experiments, identify appropriate analytical approaches, interpret results, and support grant and manuscript preparation.
Department-Specific Responsibilities
  • Processes and analyzes next-generation sequencing (NGS) data, including bulk and single-cell RNA sequencing, DNA sequencing, epigenomics, spatial transcriptomics, metabolomics, and other high-throughput data types
  • Develops, optimizes, and maintains bioinformatics pipelines
  • Performs statistical and computational analyses
  • Integrates multi-omics datasets
  • Generates reports, visualizations, and summaries for investigators
  • Contributes to the development of bioinformatics tools and databases
  • Ensures reproducible research practices, maintains documentation, and provides consultation and training to researchers
General Responsibilities
  • Employs a variety of computational sequence analysis (mathematical and computing) tools to model and analyze biological data in support of researchers
  • Accesses, extracts, and prepares data for analysis, including combining data run on multiple platforms as well as externally generated data in support of meta-analyses
  • Installs, configures, customizes, and supports analytical software for data on research clusters
  • Performs performance and reliability assessments to ensure systems are performing to maximum productivity and scientific validity
  • Documents consultation, analysis, and quality control efforts
  • Researches and stays up-to-date on emerging technologies/tools, trends, standards, and best practices related to bioinformatics
Qualifications
Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
EDUCATION
Required
  • Bachelor's degree (preferably in computer science, bioinformatics, biology, or a related field)
Preferred
  • Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, Biomedical Informatics, or a related field
WORK EXPERIENCE
Preferred
  • Experience analyzing high-throughput biological data, including next-generation sequencing (NGS) and other omics datasets
  • Experience analyzing transcriptomics, genomics, epigenomics, proteomics, metabolomics, single-cell, or spatial omics data
  • Experience developing and maintaining reproducible bioinformatics pipelines and workflows
  • Experience with bioinformatics tools, databases, and workflow management systems
  • Experience with multi-omics data integration and machine learning approaches
  • Experience supporting grant applications and scientific manuscript preparation
  • Experience working in an academic medical center, research institute, or biotechnology environment
SKILLS
Required
  • Proficient written and verbal communication skills
  • Maintains a high degree of professionalism
  • Demonstrated time management and priority setting skills
  • Demonstrates a high commitment to quality
  • Possesses flexibility to work in a fast paced, dynamic environment
  • Seeks to acquire knowledge in area of specialty
Preferred
  • Strong programming, statistical, and communication skills
  • Proficiency in programming languages such as R, Python, and/or Bash
  • Experience working in Linux/Unix computing environments
  • Familiarity with high-performance computing (HPC) environments, cloud computing platforms, and workflow management systems such as Snakemake or Nextflow
  • Knowledge of statistical methods and data analysis techniques applicable to biological and biomedical research
  • Strong analytical, problem-solving, and organizational skills
  • Excellent written and verbal communication skills, with the ability to present complex analytical results to multidisciplinary research teams
  • Ability to work independently and collaboratively in a fast-paced research environment
  • Demonstrated record of scientific publications, conference presentations, or collaborative research projects
  • Knowledge of data visualization tools and development of interactive web applications for data exploration
Working Conditions / Demands
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.
Work Location
Indiana University Indianapolis
Indianapolis, Indiana
This is an in-person position.
Advertised Salary
$50,648.00 - 53,580.60 per year based on experience and internal equity within the department.
Benefits Overview
For full-time staff employees, Indiana University offers a wide array of benefits including:
  • Comprehensive medical and dental insurance
  • Health savings account with generous IU contributions
  • Healthcare and dependent care flexible spending accounts
  • Basic group life insurance paid by IU
  • Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance
  • Base retirement plan with generous IU contributions, subject to vesting
  • Voluntary supplemental retirement plan options
  • Tuition subsidy for employees and family members taking IU courses
  • 10 paid holidays plus a paid winter break each year
  • Generous paid time off plans
  • Paid leave for new parents and IU-sponsored volunteer events
  • Employee assistance program (EAP)
Learn more about our benefits by reviewing the IU Benefit Programs Brochure .
Job Classification
Career Level: Core
FLSA: Exempt
Job Function: Information Technology
Job Family: Data Analysis & Engineering
Click here to learn more about Indiana University's Job Framework.
Posting Disclaimer
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
If you wish to include a cover letter, you may include it with your resume when uploading attachments.
Equal Employment Opportunity
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 .
Campus Safety and Security
The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD.
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