Post Doc Research Associate
On-siteIndianapolis, Indiana, United States
Job Summary
Lead independent and collaborative research projects developing bioinformatics, pharmacogenomics, AI, machine learning, and deep learning methods for biomedical discovery. Analyze and integrate large-scale datasets including omics, pharmacogenomics, drug databases, knowledge graphs, and clinical molecular data to build computational pipelines for drug response prediction and therapeutic target identification. Develop predictive models, NLP/LLM applications, and AI-enabled analytic frameworks while leading manuscript preparation and contributing to grant proposals. Collaborate with multidisciplinary stakeholders across institutions to advance precision therapeutics.
Required 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
- 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
Desired Qualifications
- Experience with omics data, pharmacogenomics data, drug databases, biomedical ontologies, knowledge graphs, or large-scale biomedical datasets is highly desirable
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