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Data Science Research Intern Jobs in Indiana (NOW HIRING)

Zimmer Biomet

$14.75 - $19.50/hr

... in clinical research, primarily the Clinical Trial Management System (CTMS). How You'll Create ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

Zimmer Biomet

$14.25 - $19/hr

... in clinical research, primarily the Clinical Trial Management System (CTMS). How You'll Create ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

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Data Science Research Intern information

How do data science research interns typically collaborate with full-time data scientists and engineering teams?

Data Science Research Interns often work closely with full-time data scientists to support ongoing projects, contribute to research discussions, and assist in developing analytical models. They may also interact with engineering teams to understand data pipelines, verify data integrity, and help implement prototypes into production environments. Regular meetings, code reviews, and paired problem-solving sessions are common, providing interns with valuable mentorship and exposure to real-world workflows. This collaborative environment helps interns build both technical and communication skills while making meaningful contributions to the team's goals.

What does a data science research intern do?

A Data Science Research Intern works on analyzing data, building predictive models, and supporting research projects under the guidance of experienced data scientists. Their tasks often include cleaning and visualizing data, implementing machine learning algorithms, and evaluating model performance. Interns may also help with literature reviews, prototyping new solutions, and presenting findings to the team. This role provides hands-on experience with real-world datasets and the opportunity to learn industry-standard tools and techniques.

What skills and qualifications are needed to thrive as a data science research intern?

To thrive as a Data Science Research Intern, you need a solid grounding in statistics, programming (typically Python or R), and data analysis, usually backed by coursework or a degree in a quantitative field. Familiarity with tools like Jupyter Notebooks, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems (e.g., Git) is commonly expected. Strong problem-solving abilities, curiosity, and effective communication make candidates stand out by enabling them to tackle complex problems and share insights clearly. These skills are essential for contributing meaningful research, collaborating with team members, and translating data findings into actionable results.
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Infographic showing various Data Science Research Intern 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 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Post Doc Research Associate

Purdue University

West Lafayette, IN • On-site

Full-time

Re-posted 2 days ago

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

310th of 618 rated colleges and universities

Job description

Post Doc Research Associate
City: West Lafayette
Job Description:
Job Summary
Position Title: Postdoctoral Research Associate - Bioinformatics, Pharmacogenomics, and AI/Machine Learning
Job Description: A Postdoctoral Research Associate position is immediately available for a highly motivated, independent, and ambitious candidate in the Department of Pharmacy Practice at Purdue University College of Pharmacy (Indianapolis campus). This position offers extensive collaborative research opportunities with the Regenstrief Institute and Indiana University. The successful candidate will work closely with faculty, scientists, clinicians, informaticians, health professionals, and trainees across institutions to develop and apply computational methods for biomedical discovery and precision therapeutics.
This position is ideal for candidates seeking advanced training and leadership opportunities in bioinformatics, pharmacogenomics, artificial intelligence, machine learning, computational drug discovery, and precision medicine.
Research Area
The postdoctoral fellow will contribute to projects in one or more of the following areas:
• Bioinformatics and computational biology
• Multi-omics data integration and analysis
• Pharmacogenomics and computational drug discovery
• Pharmacogenomics and precision medicine
• AI and machine learning applications in biomedical research
• Deep learning and predictive modeling
• Natural language processing and large language models for biomedical data
• Drug response prediction and treatment optimization
• Biomedical knowledge graphs and network medicine
• Translational data science for therapeutic discovery
Primary Responsibilities:
The Postdoctoral Research Associate is expected to lead and contribute to independent and collaborative research projects, including but not limited to:
• Developing and applying bioinformatics, pharmacogenomics, AI, machine learning, and deep learning methods
• Analyzing and integrating large-scale biomedical datasets, including omics, pharmacogenomics, medication, drug database, ontology, knowledge graph, and clinical molecular data
• Building computational pipelines for drug discovery, drug response prediction, therapeutic target identification, and precision therapeutics
• Developing predictive models, knowledge graphs, NLP/LLM applications, and AI-enabled analytic frameworks
• Leading manuscript preparation and contributing to grant proposals and scientific dissemination
• Collaborating with multidisciplinary stakeholders, including clinicians, biomedical scientists, informaticians, and data scientists
Education
Ph.D. or equivalent degree in a related field, such as bioinformatics, biomedical informatics, computer science, computational biology, biostatistics, pharmacogenomics, biomedical engineering, health data science, or a related discipline
Experience
1. Demonstrated research experience in one or more of the following areas: bioinformatics; pharmacogenomics; artificial intelligence; machine learning or deep learning; pharmacogenomics; computational biology; drug discovery; network medicine; NLP/large language models; or precision medicine
2. Strong programming skills in Python, R, SQL, or related languages
3. Experience with omics data, pharmacogenomics data, drug databases, biomedical ontologies, knowledge graphs, or large-scale biomedical datasets is highly desirable
4. Strong written and oral communication skills, with evidence of scholarly productivity, including peer-reviewed publications or conference presentations
5. Ability to work effectively with diverse multidisciplinary teams, including clinicians, biomedical scientists, informaticians, and data scientists
Application Materials:
Interested applicants should submit the following:
1. Curriculum Vitae
2. Cover letter explaining research interests, relevant experience, and career goals
3. Contact information for 2-3 references
Internal candidates use this link https://careers.purdue.edu/job/Postdoctoral-Research-Associate/43347-en_US/?isInternalUser=true
External candidates use this link https://careers.purdue.edu/job/Post-Doc-Research-Associate/43347-en_US/

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