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Biology Machine Learning Intern Jobs in Indiana (NOW HIRING)

CORSI CABINET GROUP

Production Intern

Indianapolis, IN · On-site

$13.50/hr

Machining/Mill/Panel Line; Finish (Sanding/Scuffing, Flat Line, Spray, Wipe Stain), Kitting/Cart ... Enjoys learning and applying skills. Physical Requirements: * Prolonged/extended periods of time ...

Continental

Supply Chain Intern

Auburn, IN · On-site

$16.75 - $22.50/hr

... machines, traffic, and transportation. In 2023, Continental generated sales of €41.4 billion and ... Learning Opportunities * Exposure to end-to-end supply chain processes within a manufacturing ...

Continental

Supply Chain Intern

Auburn, IN · On-site

$16.75 - $22.50/hr

... machines, traffic, and transportation. In 2023, Continental generated sales of 41.4 billion and ... Learning Opportunities * Exposure to endtoend supply chain processes within a manufacturing setting.

TRULAND Equipment

Service Intern - High School

Angola, IN · On-site

$14 - $18.75/hr

Show an interest in learning methods, materials, tools, and techniques used in the repair of ... Experience operating vehicles, tools, and equipment used in machinery pre-delivery and set-up ...

North Newton School District

Science Teacher

Morocco, IN · On-site

$43K - $56K/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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Biology Machine Learning Intern information

What are the key skills and qualifications needed to thrive as a Biology Machine Learning Intern, and why are they important?

To thrive as a Biology Machine Learning Intern, you need a foundational understanding of biology, statistics, and programming (usually Python or R), often supported by coursework or a degree in a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), bioinformatics tools, and data analysis platforms is typically expected. Strong problem-solving abilities, attention to detail, and teamwork skills help interns excel in interdisciplinary research environments. These skills and qualities are crucial for effectively analyzing biological data, developing models, and contributing to innovative scientific solutions.

What kinds of projects do Biology Machine Learning Interns typically work on, and how do these projects contribute to the team?

Biology Machine Learning Interns often work on interdisciplinary projects that apply machine learning techniques to analyze biological data, such as genomics, protein structures, or cellular imaging. These projects may involve developing predictive models, automating data processing pipelines, or extracting meaningful patterns from large, complex datasets. Interns usually collaborate closely with both biologists and data scientists, gaining hands-on experience and contributing valuable insights that support ongoing research or product development. This collaborative environment not only enhances technical skills but also provides exposure to real-world applications of AI in life sciences.

What does a Biology Machine Learning Intern do?

A Biology Machine Learning Intern works at the intersection of biology and computer science, applying machine learning techniques to analyze biological data. Their tasks often include processing large datasets, building predictive models, and supporting research projects that use artificial intelligence to solve biological problems. Interns may work on projects like drug discovery, genomics, or protein structure prediction, and typically collaborate with scientists and engineers. This role helps bridge the gap between experimental biology and data-driven insights.
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What cities in Indiana are hiring for Biology Machine Learning Intern jobs? Cities in Indiana with the most Biology Machine Learning Intern job openings:
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Postdoctoral Fellow, Biology

Indiana University Academic Positions

Bloomington, IN

Other

Posted 2 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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