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Research Associate Bioinformatics Jobs (NOW HIRING)

BillionToOne

Research Associate

Menlo Park, CA · On-site

$104K/yr

The Research Associate position at BillionToOne is exceptionally rare at the undergraduate or early ... Collaborate with other teams to implement lab and bioinformatic workflows * Contribute positively ...

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How much do research associate bioinformatics jobs pay per year?

As of Aug 28, 2026, the average yearly pay for research associate bioinformatics in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What is a research associate bioinformatics?

A Research Associate in Bioinformatics is responsible for analyzing biological data using computational tools and programming. They work with large datasets, such as genomic sequences or protein structures, to extract meaningful insights for research and development. Their role often involves developing algorithms, writing scripts, and collaborating with scientists to interpret data. They typically work in academic institutions, biotechnology companies, or pharmaceutical industries. Strong skills in bioinformatics software, databases, and programming languages like Python or R are essential for this role.

What are the day-to-day responsibilities of a research associate bioinformatics?

In a typical day, a Research Associate Bioinformatics may analyze large datasets using computational methods, develop and maintain scripts or pipelines for data processing, and collaborate closely with biologists and other data scientists to interpret results. The role often involves troubleshooting technical issues, staying updated on the latest tools and publications, and preparing data visualizations or reports for team meetings. You might also participate in lab meetings, contribute to grant proposals or scientific papers, and handle multiple projects or datasets at once. This combination of technical work, collaborative problem-solving, and ongoing learning keeps the daily routine dynamic and engaging.

What are the key skills and qualifications needed for a research associate bioinformatics?

To thrive as a Research Associate Bioinformatics, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Proficiency with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, Galaxy), and familiarity with databases such as GenBank or Ensembl are typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork and communication skills help you excel in collaborative research settings. These combined skills are vital for analyzing complex biological data, drawing meaningful insights, and contributing effectively to scientific research projects.

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Research Associate Bioinformatics jobs near you
Infographic showing various Research Associate Bioinformatics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Post Doc Research Associate

Purdue University

West Lafayette, IN • On-site

Full-time

Re-posted 18 days ago

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

313th of 623 rated colleges and universities

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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