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Computational Biologist Jobs in Indiana (NOW HIRING)

Amgen

Software Engineering,Computer Science, Computational Biology * A strong background inworkflow planning * Experience building automations for workflow tracking tools like Jira * FamiliaritywithUNIX ...

Socket.dev

Senior Research Scientist

Indianapolis, IN · On-site

$120 - $190/hr

... Computational Biology, Technical Development, and Preclinical Development. Collaborate with Computational Sciences to develop machine learning models for hit expansion and property prediction.

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Computational Biologist information

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$46.2K

$89.4K

$127K

How much do computational biologist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for computational biologist in Indiana is $89,436.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $111,300.00 per year, depending on experience, location, and employer.

What is a computational biologist?

A computational biologist is a skilled scientist who uses complex computer algorithms to research and analyze biological systems. This highly specialized job entails using computers and advanced data analytics software to research biological topics such as genetic sequencing, cellular growth numbers, and protein sampling. As a computational biologist, your duties are to code computer algorithms and perform bioinformatics research in the lab. You may also work with students by using the data from their bioinformatics research.

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

To thrive as a Computational Biologist, you need a strong background in biology, mathematics, statistics, and computer science, often supported by an advanced degree in a relevant field. Proficiency with programming languages (such as Python or R), bioinformatics tools, and data analysis platforms is essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills for this role. These skills are critical for analyzing complex biological data, interpreting results, and collaborating with multidisciplinary teams to advance scientific research.

What are some common interdisciplinary collaborations for a computational biologist, and how do these impact daily work?

Computational Biologists frequently collaborate with laboratory scientists, statisticians, and software engineers to analyze complex biological data. These interdisciplinary interactions mean that communication skills are essential, as you’ll often translate computational findings into actionable insights for experimental teams. Daily responsibilities may include attending joint meetings, discussing data analysis strategies, and integrating feedback from collaborators to refine models. This collaborative environment fosters both scientific discovery and personal growth, offering exposure to diverse perspectives and expertise.
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Computational Biologist jobs near you
Infographic showing various Computational Biologist job openings in Indiana as of August 2026, with employment types broken down into 71% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 68% Physical, 2% Hybrid, and 30% Remote job distribution, with an average salary of $89,436 per year, or $43 per hour.

Postdoctoral Fellow in Pediatrics

Indiana University

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Re-posted 14 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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