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Bioinformatics Phd Jobs in Indiana (NOW HIRING)

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Bioinformatics Phd information

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$56.6K

$89.9K

$142.3K

How much do bioinformatics phd jobs pay per year?

As of Jul 19, 2026, the average yearly pay for bioinformatics phd 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 can I do with a bioinformatics PhD?

A bioinformatics PhD prepares individuals for research and development roles in academia, biotech, and pharmaceutical industries, focusing on analyzing biological data using computational tools and programming languages like Python or R. Graduates often work as bioinformatics scientists, data analysts, or computational biologists, contributing to genomics, personalized medicine, and drug discovery projects. Advanced knowledge of algorithms, statistical methods, and biological databases is essential for these positions.

What are typical projects or responsibilities for someone in a Bioinformatics PhD role?

In a Bioinformatics PhD role, you may be tasked with designing and implementing computational analyses to interpret large-scale genomic or proteomic data, developing new algorithms or pipelines, and contributing to manuscripts or research publications. Collaboration with experimental biologists, clinicians, and fellow data scientists is common, requiring you to translate complex biological questions into computational approaches and communicate results effectively. On a daily basis, you might analyze sequencing data, troubleshoot code, manage data workflows, and help mentor junior researchers or students. These responsibilities offer dynamic opportunities to make a significant impact in advancing biological research and medical innovation.

Is bioinformatics a high paying job?

Bioinformatics PhDs often earn competitive salaries, especially in biotech, pharmaceutical, and research sectors, with median salaries typically higher than many other science roles. Salary levels depend on experience, location, and industry, with advanced skills in programming, data analysis, and biological sciences increasing earning potential.

Is AI going to replace bioinformatics?

Bioinformatics PhDs utilize AI and machine learning tools to analyze biological data, but AI is designed to augment rather than replace human expertise. Professionals in this field interpret complex data, develop algorithms, and validate results, making their role essential despite advances in AI technology.

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

A successful Bioinformatics PhD possesses advanced knowledge in computational biology, statistics, genomics, and a doctoral degree in bioinformatics or a closely related field. Familiarity with programming languages such as Python or R, experience with bioinformatics databases, and use of tools like BLAST, Galaxy, or Bioconductor are commonly expected. Strong analytical thinking, effective communication, and collaborative skills are highly valued in this field. These skills enable bioinformatics professionals to analyze complex biological data, work efficiently within multidisciplinary teams, and drive meaningful scientific discoveries.

What is a Bioinformatics PhD job?

A Bioinformatics PhD job involves conducting research and developing computational tools to analyze biological data, such as genomics, proteomics, and clinical datasets. Professionals in this role work at the intersection of biology, computer science, and mathematics to derive meaningful insights from complex biological information. They may work in academia, pharmaceutical companies, biotechnology firms, or healthcare institutions, contributing to advancements in medicine, drug discovery, and personalized healthcare. Essential skills include programming, statistical analysis, machine learning, and a deep understanding of molecular biology.

Is it worth getting a PhD in bioinformatics?

A PhD in bioinformatics prepares individuals for research, data analysis, and development of computational tools in the field, often leading to academic, industry, or healthcare roles. It provides advanced skills in programming, statistics, and biology, but requires significant time and effort with variable job prospects depending on the sector and experience level.
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Bioinformatics Phd jobs near you
Infographic showing various Bioinformatics Phd job openings in Indiana as of July 2026, with employment types broken down into 2% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $89,898 per year, or $43.2 per hour.
Postdoctoral Fellow in Pediatrics

Postdoctoral Fellow in Pediatrics

Indiana University

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Re-posted 27 days ago

Job description

Posting Details
Position Details
Title
Postdoctoral Fellow in Pediatrics
Specific Title
Appointment Type
Postdoctoral Fellow
Department
IUSM - Pediatrics
Campus
IU School of Medicine Indianapolis
Position Summary
The Schwaderer Lab is dedicated to uncovering the biological mechanisms underlying kidney diseases, particularly those with immune-mediated components such as kidney infections, kidney stones, and glomerular disorders. Our research integrates cutting-edge approaches to understand how immune responses contribute to kidney injury and disease progression.
In addition, we focus on biomarker discovery to identify children at risk for developing kidney disease and to guide personalized treatment strategies. By leveraging advanced technologies in genomics, proteomics, and metabolomics, our goal is to improve early detection, predict disease outcomes, and develop targeted interventions that enhance patient care and long-term kidney health.
Bioinformatics and Biomarker Analysis in Kidney Disease The Nephrology and Urology Research Group at Indiana University School of Medicine seeks a highly motivated individual to join our team in advancing the understanding of kidney disease through cutting-edge bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages multi-omics platforms (including proteomics, metabolomics, transcriptomics), targeted biomarker arrays, and advanced computational approaches to:
Characterize biomarker profiles across kidney tissue, serum, urine, and other biological samples. Integrate multi-modal datasets to uncover mechanisms underlying kidney disease progression and treatment response. Apply advanced microscopy image analysis and spatial transcriptomics to link molecular signatures with tissue architecture. Develop predictive models for disease diagnosis, prognosis, and therapeutic targeting.
Experimental and Analytical Approaches
Bioinformatics and computational biology for multi-omics integration and biomarker discovery. High-dimensional data analysis from targeted arrays and imaging platforms. Coordination of biological sample pipelines (kidney biopsy, serum, urine) for comprehensive biomarker profiling. Utilization of machine learning and image processing for advanced tissue analysis.
The Herman B Wells Center for Pediatric Research conducts basic science and translational research within the Department of Pediatrics at Indiana University School of Medicine. The Wells Center houses more than 300 faculty investigators, staff, and trainees seeking answers to the most pressing questions related to childhood illness. With the collaboration between scientists and physicians, the center aims to increase knowledge of causes and mechanisms of serious pediatric diseases. Our goal is to develop innovative approaches to the diagnosis and treatment of sick children in Indiana and beyond.
IUSM 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
PhD in bioinformatics, molecular biology, nephrology, urology, or a related field
Department Contact for Questions
Andrew Schwaderer, MD
schwadea@iu.edu
Additional Qualifications
Preferred Qualifications
Experience in bioinformatics, computational biology, or related fields. Familiarity with omics data analysis, biostatistics, and image analysis tools. Strong programming skills (R, Python) and knowledge of relevant databases and pipelines. Candidates with peer-reviewed publications, excellent communication skills, and collaborative mindset will be prioritized.
Collaborative Environment The successful candidate will join a multidisciplinary team with expertise in nephrology, urology, molecular biology, and computational science. Access to patient samples, state-of-the-art imaging facilities, and high-performance computing resources will support translational research aimed at improving kidney health.
Special Instructions
Priority Application Review Deadline
Expected Start Date
Posting Number
IUSM-02341-2026

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