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Genomics Data Scientist Jobs in Indiana (NOW HIRING)

Eurofins Scientific

Bioassay Analyst

Indianapolis, IN · On-site

... genomics, discovery pharmacology, forensics, advanced material sciences and in the support of ... Document laboratory work in notebooks/electronic notebooks and log books, perform data integrity ...

Indiana University

Genome Analyst

Indianapolis, IN · On-site

$78K - $88K/yr

... genomic mechanisms, translational research in disease models, and clinical trials in rare and ... Science) Preferred * Experience in analyzing and interpreting next-generation sequencing (NGS) data

Eurofins

Bioassay Analyst

Indianapolis, IN · On-site

... genomics, discovery pharmacology, forensics, advanced material sciences and in the support of ... Document laboratory work in notebooks/electronic notebooks and log books, perform data integrity ...

Eurofins

Chemist - 12HR Rotating Shift

Indianapolis, IN · On-site

... genomics, discovery pharmacology, forensics, advanced material sciences and in the support of ... Enter data into LIMS. Experience with Empower is a plus * Ability to work independently and as part ...

LG Seeds

Soybean Breeding Specialist

Fort Branch, IN

This role integrates technical breeding responsibilities with alignment in genomic selection, gene ... Support training, protocol standardization, and communication between breeders, data science, and ...

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All JobsGenomics Data Scientist JobsGenomics Data Scientist Jobs in Indiana

Genomics Data Scientist information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do genomics data scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for genomics data scientist in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a genomics data scientist?

To thrive as a Genomics Data Scientist, you need a solid background in biology, bioinformatics, statistics, and programming—typically with an advanced degree in a relevant scientific field. Proficiency with tools such as Python, R, next-generation sequencing (NGS) analysis pipelines, and experience with cloud-based data platforms and genomics databases is highly valued, and certifications in data science or bioinformatics can be advantageous. Critical thinking, strong communication, and interdisciplinary teamwork skills distinguish those who excel in this collaborative and evolving field. These core and soft skills enable accurate analysis of complex genomic data, effective collaboration with scientific and technical teams, and meaningful contributions to biomedical research and healthcare innovation.

What are some common challenges that genomics data scientists face in their daily work?

Genomics Data Scientists commonly face challenges such as handling massive and complex sequencing datasets, integrating information from various sources, and ensuring data quality and reproducibility. They often need to stay current with rapidly evolving bioinformatics tools and computational methods to interpret new types of genomic data. Collaborating across interdisciplinary teams—including biologists, clinicians, and software engineers—can require excellent communication and translation of technical insights into actionable results. Managing these challenges is rewarding, as it contributes directly to discoveries in medical research, diagnostics, and personalized medicine.

What is a genomics data scientist?

A Genomics Data Scientist analyzes large-scale genomic data to extract meaningful biological insights. They use statistical models, machine learning, and bioinformatics tools to study genetic variations, disease associations, and evolutionary patterns. Their work supports medical research, drug discovery, and precision medicine by translating complex genetic data into actionable knowledge. This role often involves coding in languages like Python or R, working with databases, and collaborating with biologists and clinicians.

What are the most commonly searched types of Genomics Data Scientist jobs in Indiana? The most popular types of Genomics Data Scientist jobs in Indiana are:
What are popular job titles related to Genomics Data Scientist jobs in Indiana? For Genomics Data Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Genomics Data Scientist jobs in Indiana look for? The top searched job categories for Genomics Data Scientist jobs in Indiana are:
Genomics Data Scientist jobs near you
Infographic showing various Genomics Data Scientist 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 $116,793 per year, or $56.2 per hour.

Postdoctoral Fellow, Biology

Indiana University

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Re-posted 29 days ago

Job description

Posting Details
Position Details
Title
Postdoctoral Fellow, Biology
Appointment Status
Non-Tenure Track
Department
IU Bloomington Biology
Location
Bloomington
Position Summary
The department of Biology is a large, unified department with strong undergraduate degrees, nationally-ranked graduate programs, and world-class research spanning the breadth of biological questions and experimental systems - from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for Biology - enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the department, you can find it here:About: Department of Biology: Indiana University Bloomington.
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.
The Department of Biology at Indiana University Bloomington invites applications for a post-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith The lab- in the Evolution,Ecology, and Behavior section-investigates machine learning approaches for spatial population genetics. Our research integrates custom neural architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI.
Basic Qualifications
Core job duties include: (1) Designing, implementing, and overseeing research projects focused on methods development for understanding genetic variation within and between populations, (2) building computational pipelines for conducting simulation experiments and analyzing genomic sequencing data, (3) writing scientific publications and presenting findings at conferences.
Other general responsibilities include: Actively participating in lab meetings and discussions.
Education and experience required: Ph.D. in computational biology, bioinformatics, computer science, or a related field. Demonstrated experience leading computational research projects is required for the proposed research. Expertise in population or evolutionary genetics is preferred but not required.
Required skills:
• Experience with Python
• Experience with high performance computing
• Development of reproducible analysis pipelines
• Strong time management and organizational skills
• Ability to work effectively as a team
• Excellent written and oral communication
• Dependability, initiative, and professionalism
Preferred skills:
• Experience with population genetics.
• Experience with deep learning libraries (e.g., PyTorch, TensorFlow) and development.
Working conditions/demands: The role requires the ability to move about within an office environment.
Department Contact for Questions
To apply: Please submit (1) a cover letter describing your research and educational background, career goals, why you are interested in the position, and the date you are available to start; (2) a current CV; (3) the names and contact information for two references. This can be submitted at the following link: https://indiana.peopleadmin.com/postings/32511
For questions about the position contact Chris Smith (chriscs@iu.edu).
Timing and compensation: Review of applicants will begin May 1 and continue until the position is filled. The ideal start is June 1, although the starting date can be adjusted to suit the candidate. The initial appointment is for one year, with potential reappointment for additional years contingent upon satisfactory performance and funding availability. Salary will be commensurate with experience and full benefits are included.
Additional Qualifications
Salary and Rank
Special Instructions
For Best Consideration Date
05/01/2026
Expected Start Date
06/01/2026
Posting Number
IU-101520-2026

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