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Freelance Biomedical Data Analyst Jobs in Indiana

Summary The Biomedical Technician III (BMET III) installs, inspects, troubleshoots, repairs ... analysis of information and/or data pertaining to any special assignments Regulatory Compliance ...

Biomedical Technician III

Evansville, IN · On-site

$24 - $32/hr

Summary The Biomedical Equipment Technician III (BMET III) installs, inspects, troubleshoots ... analysis of information and\or data pertaining to any special assignments Regulatory Compliance ...

Epidemiology, Biomedical Engineering, Data Science, Biostatistics, Applied Statistics, Business Analytics, Life Sciences, Quality Engineering, Health Informatics etc.) is required. * A minimum of 2 ...

Biomedical Technician III

Evansville, IN · On-site

$24 - $32/hr

Summary The Biomedical Equipment Technician III (BMET III) installs, inspects, troubleshoots ... analysis of information and/or data pertaining to any special assignments Regulatory Compliance ...

Biomedical Technician III

Indianapolis, IN · On-site

$24.25 - $32/hr

This position may perform activities such as data entry and analysis within the medical equipment ... The Biomedical Technician III may work within any assigned area(s) of Franciscan Health and at ...

... freelancers, but your primary responsibility is determining what should be created and why, not ... Comfortable analyzing marketing data and translating insights into creative decisions. * Experience ...

$14.50 - $18.75/hr

... modeling, biomedical analysis, additive manufacturing, engineering simulation, medical device ... Supports data collection, technical documentation, process improvement, validation, and quality ...

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Freelance Biomedical Data Analyst information

What is the difference between Freelance Biomedical Data Analyst vs Biomedical Data Scientist?

AspectFreelance Biomedical Data AnalystBiomedical Data Scientist
CredentialsBachelor's or Master's in Bioinformatics, Data Science, or related fieldsMaster's or PhD in Bioinformatics, Data Science, or related fields
Work EnvironmentIndependent, project-based, remote or on-siteResearch labs, healthcare companies, or academia, often full-time
Employer & Industry UsageFreelance basis across biotech, pharma, healthcareOrganizations conducting advanced biomedical research
Common Search & ComparisonYesYes

Freelance Biomedical Data Analysts typically work independently on short-term projects, focusing on data cleaning, analysis, and reporting. Biomedical Data Scientists often hold advanced degrees and work within organizations on complex research projects. Both roles require strong data skills, but the freelance analyst has more flexible, project-based work, while the data scientist is usually employed full-time in research settings.

What are the most commonly searched types of Biomedical Data Analyst jobs in Indiana?

The most popular types of Biomedical Data Analyst jobs in Indiana are:

What cities in Indiana are hiring for Freelance Biomedical Data Analyst jobs?

Cities in Indiana with the most Freelance Biomedical Data Analyst job openings:

Post Doc Research Associate

Purdue University

West Lafayette, IN • On-site

Full-time

Re-posted 13 days ago


Purdue University rating

7.5

Company rating: 7.5 out of 10

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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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