Postdoctoral Research Associate - Bioinformatics, Pharmacogenomics, and AI/Machine Learning

Purdue University Institute of CHIPS and AI; West Lafayette (IN); On-site; USD 60,000 - 75,000; Full time

Job summary

Purdue University College of Pharmacy seeks a Postdoctoral Research Associate to develop computational methods for biomedical discovery and precision therapeutics, collaborating with Regenstrief Institute and Indiana University.

The ideal candidate will advance bioinformatics, pharmacogenomics, AI/ML, NLP/LLM, and translational data science, building pipelines, predictive models, and knowledge graphs, while contributing to manuscripts and grants.

Qualifications

• Ph.D. or equivalent in bioinformatics/related field and strong research track record.
• Experience with omics, pharmacogenomics, drug databases, ontologies or knowledge graphs.
• Proficient programming in Python/R/SQL and able to communicate results clearly.

Responsibilities

• Develop and apply bioinformatics, pharmacogenomics, AI/ML, and deep learning methods.
• Analyze and integrate large biomedical datasets including omics and clinical data.
• Build pipelines for drug discovery, pharmacogenomics, and precision therapeutics.
• Develop predictive models, NLP/LLM apps, and AI-enabled analytics.
• Lead manuscript preparation and contribute to grants and dissemination.
• Collaborate with clinicians, scientists, informaticians, and data scientists.

Skills

Python

R

SQL

Bioinformatics

Pharmacogenomics

Machine learning

NLP/LLM

Data analysis

Education

Ph.D. or equivalent degree

Tools

Python libraries

R packages

SQL databases

Job description

Job Summary

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.

FLSA Status

Exempt

Job Summary

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 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:

• 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

Core Qualifications

• 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
• 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

• Curriculum Vitae
• Cover letter explaining research interests, relevant experience, and career goals
• Contact information for 2–3 references

Contact

Serena Guo, MD, PhD

William S. Bucke Associate Professor, Department of Pharmacy Practice, Purdue University College of Pharmacy

Investigator, Regenstrief Institute

[e-mail]

Purdue University is an equal opportunity/equal access university.