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Nih Bioinformatics Jobs in Indiana (NOW HIRING)

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$56.6K

$89.9K

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How much do nih bioinformatics jobs pay per year?

As of Jul 31, 2026, the average yearly pay for nih bioinformatics in Indiana is $89,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $123,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Nih Bioinformatics position, and why are they important?

To thrive as an NIH Bioinformatics professional, you need a strong background in biology, genomics, and computational science, typically supported by a relevant advanced degree. Familiarity with bioinformatics software (such as BLAST, GATK, or R/Bioconductor), programming languages like Python or Perl, and experience with large data sets are crucial. Excellent problem-solving, collaboration, and communication skills set candidates apart in multidisciplinary research environments. These abilities are essential for analyzing complex biological data, contributing to impactful scientific discoveries, and working effectively with cross-functional teams.

What is an NIH Bioinformatics job?

An NIH Bioinformatics job involves using computational tools and techniques to analyze biological data, often in fields like genomics, proteomics, and biomedical research. Professionals in this role work with large datasets to support medical and scientific discoveries, aiding in public health and personalized medicine. These jobs can be research-focused, involving algorithm development, data visualization, and statistical modeling. They are typically found at the National Institutes of Health (NIH) or NIH-funded organizations, supporting projects that advance medical knowledge. Strong programming skills, biological expertise, and experience with bioinformatics tools are often required.

What are the typical daily responsibilities of an NIH Bioinformatics professional?

As an NIH Bioinformatics professional, your daily tasks often include analyzing large-scale genomic or proteomic data, developing and maintaining computational pipelines, and collaborating with biologists and clinicians to interpret research findings. You may regularly write scripts to optimize data processing, curate databases, and generate visualizations or reports for ongoing projects. Close collaboration with diverse research teams is common, requiring adaptability and clear communication. These responsibilities support the NIH's mission to advance biomedical research and drive meaningful, data-driven scientific insights.

What are the most commonly searched types of Nih Bioinformatics jobs in Indiana? The most popular types of Nih Bioinformatics jobs in Indiana are:
What are popular job titles related to Nih Bioinformatics jobs in Indiana? For Nih Bioinformatics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Nih Bioinformatics jobs in Indiana look for? The top searched job categories for Nih Bioinformatics jobs in Indiana are:
What cities in Indiana are hiring for Nih Bioinformatics jobs? Cities in Indiana with the most Nih Bioinformatics job openings:
Nih Bioinformatics jobs near you
Infographic showing various Nih Bioinformatics job openings in Indiana as of July 2026, with employment types broken down into 3% As Needed, 78% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $89,898 per year, or $43.2 per hour.

Bioinformatics Analyst

Indiana University

Indianapolis, IN • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 14 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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