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Machine Learning Biology Jobs in Indiana (NOW HIRING)

Indiana University

Postdoctoral Fellow, Biology

Bloomington, IN · On-site

$45.30K - $61.50K/yr

... machine learning approaches for spatial population genetics. Our research integrates custom neural ... D. in computational biology, bioinformatics, computer science, or a related field. Demonstrated ...

North Newton School District

Science Teacher

Morocco, IN · On-site

$43.70K - $56.50K/yr

High School Teaching/Science - Biology Date Posted: 4/3/2026 Location: North Newton Junior-Senior ... student learning. - Develops lesson plans and instructional materials for subject area, and ...

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How much do machine learning biology jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning biology in Indiana is $49,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $57,600.00 per year, depending on experience, location, and employer.

What is a Machine Learning Biology job?

A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.

What are the key skills and qualifications needed to thrive in the Machine Learning Biology position, and why are they important?

To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.

What are some common challenges faced by professionals working in Machine Learning Biology?

Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.
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Machine Learning Biology jobs near you
Postdoctoral Fellow, Biology

Postdoctoral Fellow, Biology

Indiana University

Bloomington, IN • On-site

$45.30K - $61.50K/yr

Full-time

Posted 20 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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