Education STEM OPT Jobs in Indiana
F-1 STEM OPT sponsorship jobs in Indiana's education sector are concentrated at research universities like Purdue University, Indiana University, and Notre Dame, as well as ed-tech employers across Indianapolis and Bloomington. Roles in data analysis, instructional technology, and learning systems frequently qualify, giving STEM graduates a practical pathway to gain U.S. work experience in education.
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Get Access To All JobsJob Title: Post Doc Research Associate
Req Id: 43347
Job Summary
Position Title: Postdoctoral Research Associate – Bioinformatics, Pharmacogenomics, and AI/Machine Learning
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
-
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
-
Strong programming skills in Python, R, SQL, or related languages
-
Experience with omics data, pharmacogenomics data, drug databases, biomedical ontologies, knowledge graphs, or large-scale biomedical datasets is highly desirable
-
Strong written and oral communication skills, with evidence of scholarly productivity, including peer-reviewed publications or conference presentations
-
Ability to work effectively with diverse multidisciplinary teams, including clinicians, biomedical scientists, informaticians, and data scientists
Application Materials:
Interested applicants should submit the following:
-
Curriculum Vitae
-
Cover letter explaining research interests, relevant experience, and career goals
-
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/
Posting Start Date: 7/29/26
Job Title: Post Doc Research Associate
Req Id: 43347
Job Summary
Position Title: Postdoctoral Research Associate – Bioinformatics, Pharmacogenomics, and AI/Machine Learning
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
-
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
-
Strong programming skills in Python, R, SQL, or related languages
-
Experience with omics data, pharmacogenomics data, drug databases, biomedical ontologies, knowledge graphs, or large-scale biomedical datasets is highly desirable
-
Strong written and oral communication skills, with evidence of scholarly productivity, including peer-reviewed publications or conference presentations
-
Ability to work effectively with diverse multidisciplinary teams, including clinicians, biomedical scientists, informaticians, and data scientists
Application Materials:
Interested applicants should submit the following:
-
Curriculum Vitae
-
Cover letter explaining research interests, relevant experience, and career goals
-
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/
Posting Start Date: 7/29/26
STEM OPT Education Job Roles in Indiana
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Search Education Jobs in IndianaEducation STEM OPT Sponsorship Jobs in Indiana: Frequently Asked Questions
Which education companies and institutions sponsor F-1 STEM OPT visas in Indiana?
Purdue University, Indiana University, the University of Notre Dame, and Butler University are among the Indiana institutions with documented F-1 STEM OPT sponsorship histories. Beyond traditional universities, Indianapolis-based education technology firms and curriculum analytics companies have also filed Labor Condition Applications for roles. Checking DOL disclosure data through the OFLC Wage Search tool can help you verify which specific employers have active filings.
Which cities in Indiana have the most education F-1 STEM OPT sponsorship jobs?
Indianapolis and Bloomington account for the largest share of education-sector STEM OPT opportunities in Indiana. Indianapolis hosts the state's growing ed-tech and corporate training industry, while Bloomington is anchored by Indiana University's research and instructional technology operations. West Lafayette, home to Purdue University, is also a consistent source of STEM-designated education roles in data science, engineering education, and learning analytics.
What types of education roles typically qualify for F-1 STEM OPT sponsorship?
Roles that qualify must fall under a STEM-designated Classification of Instructional Programs code tied to your degree. In the education sector, positions commonly meeting this standard include data analyst roles in learning management, instructional design with a quantitative or systems focus, educational software engineering, and institutional research. Purely pedagogical or administrative roles rarely qualify unless the position description directly connects to a STEM field recognized by your DSO.
How do I find education F-1 STEM OPT sponsorship jobs in Indiana?
Migrate Mate lets you filter specifically for education-sector employers in Indiana with verified F-1 STEM OPT sponsorship history, saving you from applying to roles where sponsorship is uncertain. Search by role type and location to surface companies at Indiana universities, research centers, and ed-tech firms that have filed for STEM OPT workers. Confirming your degree's CIP code with your DSO before applying helps you target only roles your authorization actually covers.
Are there any Indiana-specific considerations for F-1 STEM OPT sponsorship in education?
Indiana's large public university system means many STEM OPT education roles are tied to academic hiring cycles, with positions typically opening in spring for fall starts. Public university sponsorship processes often involve additional institutional HR review alongside standard E-Verify enrollment requirements. Because Indiana has several federally funded research programs at Purdue and IU, some roles may also require eligibility screening that can affect international student applicants independently of OPT authorization.