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Machine Learning Biology Jobs in Indiana (NOW HIRING)

Postdoctoral Fellow, Biology

Bloomington, IN · On-site

$45K - $61K/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 ...

... biology and technology, we're developing the next generation of smarter, less invasive, more ... Required Qualifications and Experience: * BS/MS in Machine Learning, Artificial Intelligence ...

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Machine Learning Biology information

See Indiana salary details

$21.9K

$49.7K

$70.9K

How much do machine learning biology jobs pay per year?

As of Aug 3, 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 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.

Is ML a high paying job?

Machine Learning Biology roles are generally well-paid due to the specialized skills required, such as expertise in data analysis, programming, and biological sciences. Salaries vary based on experience, location, and industry, but they tend to be higher than average for many entry-level positions in related fields.

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.

Is AI taking over biology jobs?

Machine Learning Biology professionals use AI and data analysis to advance biological research, but AI is generally a tool that complements rather than replaces human expertise. Many roles require domain knowledge, critical thinking, and interpretation skills that AI cannot fully replicate, so AI is more of an aid than a threat to biology jobs.

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 is machine learning in biology?

Machine learning in biology involves using algorithms and statistical models to analyze biological data, such as genetic sequences or imaging, to identify patterns and make predictions. Professionals in this field often work with large datasets and tools like Python or R to develop models that can assist in tasks like disease diagnosis, drug discovery, and understanding biological processes.

What biology jobs pay over $100k?

In the field of machine learning biology, roles such as bioinformatics director, computational biologist, and data science lead often have salaries exceeding $100,000, especially with advanced skills in programming, statistical analysis, and experience with tools like Python, R, and machine learning frameworks. These positions typically require a strong background in biology and data science, along with relevant advanced degrees and experience in research or industry settings.
What are the most commonly searched types of Machine Learning Biology jobs in Indiana? The most popular types of Machine Learning Biology jobs in Indiana are:
What are popular job titles related to Machine Learning Biology jobs in Indiana? For Machine Learning Biology jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biology jobs in Indiana look for? The top searched job categories for Machine Learning Biology jobs in Indiana are:
Infographic showing various Machine Learning Biology job openings in Indiana as of July 2026, with employment types broken down into 75% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $49,662 per year, or $23.9 per hour.

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Re-posted 26 days ago


Job description

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