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Research Assistant Machine Learning Jobs in Bloomington, IN

SAIC

Chief Engineer with Security Clearance

Bedford, IN · On-site

... and machine learning (AI/ML) applications, and C3I communication architectures * Identify and ... Lead and support independent research and development (IR&D) activities to advance SAIC's technical ...

SAIC

Chief Engineer

Bedford, IN

... and machine learning (AI/ML) applications, and C3I communication architectures * Identify and ... Lead and support independent research and development (IR&D) activities to advance SAIC's technical ...

SAIC

Chief Engineer

Bedford, IN · On-site

... and machine learning (AI/ML) applications, and C3I communication architectures * Identify and ... Lead and support independent research and development (IR&D) activities to advance SAIC's technical ...

SAIC

Chief Engineer

Bedford, IN · On-site

... and machine learning (AI/ML) applications, and C3I communication architectures * Identify and ... Lead and support independent research and development (IR&D) activities to advance SAIC's technical ...

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How much do research assistant machine learning jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for research assistant machine learning in Bloomington, IN is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $23.56 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

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Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Bloomington, IN as of August 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 100% In-person job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Postdoctoral Fellow, Biology

Indiana University Academic Positions

Bloomington, IN

Full-time

Re-posted 10 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

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