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Entry Level Clinical Research Associate Jobs in Indiana

Reports to the Nurse Manager, Clinical Research. Is responsible for the coordination and delivery ... ORGANIZATIONAL RESPONSIBILITIES Associate complies with the following organizational requirements:

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Entry Level Clinical Research Associate information

What are the typical daily responsibilities of an entry level clinical research associate?

As an Entry Level Clinical Research Associate, your day-to-day work generally involves assisting with monitoring clinical trial sites, reviewing study documentation, and ensuring adherence to protocol and regulatory requirements. You may support more senior team members in conducting on-site or remote visits, tracking patient recruitment, and managing data collection. Additionally, you’ll communicate regularly with site staff and other stakeholders to resolve issues and ensure data quality. This hands-on experience is essential for building expertise in clinical research processes and advancing toward more senior CRA roles.

What is an entry level clinical research associate?

An Entry Level Clinical Research Associate (CRA) is responsible for monitoring clinical trials to ensure compliance with regulatory requirements, ethical guidelines, and study protocols. They assist in site selection, data collection, and verifying that study procedures are properly followed. Entry-level CRAs typically work under the supervision of senior CRAs and may travel to different clinical sites. Strong attention to detail, knowledge of Good Clinical Practice (GCP) guidelines, and organizational skills are essential. This role is a starting point for a career in clinical research, with opportunities for growth into senior CRA or project management positions.

What are the key skills and qualifications needed to thrive as an entry level clinical research associate?

To thrive as an Entry Level Clinical Research Associate, you typically need a bachelor's degree in life sciences or a related field, a solid understanding of clinical trial protocols, and attention to detail. Familiarity with Good Clinical Practice (GCP) guidelines, electronic data capture (EDC) systems, and regulatory documentation is often required. Strong communication, organization, and problem-solving abilities help you effectively collaborate with study sites and team members. These skills are critical to ensure the accuracy, compliance, and successful progression of clinical studies.

What are the most commonly searched types of Entry Level Clinical Research jobs in Indiana? The most popular types of Entry Level Clinical Research jobs in Indiana are:
What are popular job titles related to Entry Level Clinical Research Associate jobs in Indiana? For Entry Level Clinical Research Associate jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Entry Level Clinical Research Associate jobs? Cities in Indiana with the most Entry Level Clinical Research Associate job openings:
Infographic showing various Entry Level Clinical Research Associate job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 85% In-person, and 15% Remote job distribution.

Post Doc Research Associate

Purdue University

West Lafayette, IN • On-site

Full-time

Re-posted 29 days ago


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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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