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Clinical Bioinformatics Jobs (NOW HIRING)

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

The Manager partners closely with laboratory, clinical, software engineering, IT, quality, and ... Manage day-to-day bioinformatics operations and ensure timely delivery of high-quality analytical ...

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

The Manager partners closely with laboratory, clinical, software engineering, IT, quality, and ... Manage day-to-day bioinformatics operations and ensure timely delivery of high-quality analytical ...

Cincinnati Children's

Bioinformatics Analyst

Lincoln, NE · On-site

$61K - $78K/yr

As a Bioinformatics Analyst I, you will contribute to the development, implementation, and ... Working in close partnership with clinicians, researchers, laboratory professionals, pathologists ...

Celcuity

Bioinformatics Scientist

Minneapolis, MN · On-site

$110K - $120K/yr

Successfully execute bioinformatics studies in collaboration with other R&D wet-lab scientists, clinical teams and bioinformaticians on multiple defined priority areas. * Effectively communicate ...

NYULMC

Senior Bioinformatics Programmer

New York, NY · On-site

The successful candidate will be primarily responsible for the development and maintenance of computational pipelines and work closely with clinicians to develop bioinformatic tools for clinical Next ...

Saviance

Senior Bioinformatics QA Engineer

Preferred : • Experience with statistical analysis or machine learning in a biological context. • Understanding of regulatory standards in clinical bioinformatics (e.g., CLIA, CAP). • ...

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Clinical Bioinformatics information

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How much do clinical bioinformatics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for clinical bioinformatics in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a clinical bioinformatics?

A Clinical Bioinformatics job involves the application of bioinformatics tools and computational methods to analyze clinical and genomic data for improving patient care. Professionals in this field work with healthcare providers, researchers, and data scientists to interpret complex biological data, often in the context of precision medicine, diagnostics, and treatment planning. They utilize programming, statistical analysis, and machine learning techniques to extract meaningful insights from genetic and molecular datasets. The role is crucial in integrating omics data with clinical practice to support personalized medicine and disease research.

What are the typical daily responsibilities of a clinical bioinformatics?

A Clinical Bioinformatician’s daily tasks often include analyzing and interpreting genomic or molecular data, developing and validating bioinformatics pipelines, and preparing clinical reports to support patient diagnosis and treatment. They work closely with clinicians, laboratory scientists, and IT professionals to ensure that data analyses are accurate and clinically relevant. The role may also involve troubleshooting data quality issues, staying current with evolving technologies, and participating in multidisciplinary meetings. Collaboration and adaptability are key, as work often shifts to address urgent clinical cases or new research findings.

What are the key skills and qualifications needed to thrive in clinical bioinformatics, and why are they important?

Success in Clinical Bioinformatics requires a solid background in bioinformatics or computational biology, knowledge of genetics and genomics, and often a master’s or PhD degree in a related field. Proficiency with tools such as Python, R, next-generation sequencing analysis platforms, and familiarity with clinical data management systems is highly valued, along with relevant certifications like CCBIO or ABMGG when applicable. Strong problem-solving skills, attention to detail, and interdisciplinary communication abilities are critical soft skills. These competencies enable accurate analysis of complex biomedical data, effective collaboration with healthcare professionals, and the translation of genomic information into actionable clinical insights.

What does a clinical bioinformatics do?

A clinical bioinformatics professional analyzes and interprets biological data, such as genetic sequences, to support medical diagnosis and treatment. They often work with genomic tools, databases, and software to identify disease markers and assist healthcare providers in personalized medicine.
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Clinical Bioinformatics jobs near you
Infographic showing various Clinical Bioinformatics job openings in the United States as of August 2026, with employment types broken down into 3% As Needed, 71% Full Time, 18% Part Time, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Postdoctoral Associate - Clinical Bioinformatics

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Re-posted 17 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 628 rated colleges and universities

Job description

Postdoctoral Associate - Clinical Bioinformatics
Division: Medicine
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The lab is seeking a postdoctoral researcher to collaborate on groundbreaking projects integrating patient-level data with artificial intelligence (AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care. The Postdoctoral Associate will write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Collaborates on the development of AI/ML/NLP-driven solutions for healthcare challenges.
  • Reads and interprets patient-level data to support the development of AI/ML/NLP algorithms for clinical applications.
  • Annotates medical notes and datasets to facilitate training and validation of predictive models.
  • Collaborates with data scientists, machine learning engineers, and clinical collaborators to design, implement, and validate innovative algorithms.
  • Conducts exploratory data analysis to extract meaningful insights from complex datasets.
  • Writes manuscripts and prepare presentations for local, national, and international conferences.
  • Conducts literature reviews and maintains awareness of advancements in bioinformatics, AI, and clinical data analysis.
  • Applies foundational knowledge of biostatistics and AI principles to inform study design and algorithm development.
  • Tests, debugs, and validates models in partnership with technical and clinical teams.
  • Ensures adherence to ethical guidelines for the use of patient data in research and development.
  • Works closely with the Artificial Intelligence in Health Lab (AIH-Lab) and the BD-STEP program to advance clinical informatics research.
  • Leverages clinical expertise to refine machine learning models, ensuring clinical relevance and accuracy.
  • Collaborates on the integration of clinical datasets into broader health informatics systems.
  • Provides expert annotations for training large language models (LLMs) and NLP algorithms, focusing on healthcare-specific use cases.
  • Presents findings in department meetings and seminars and support grant writing and funding initiatives.
  • Mentors trainees or junior team members in clinical informatics and research methods as needed.
  • Performs other job-related duties as assigned.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • MD passionate about clinical bioinformatics and driving innovation in healthcare.
  • Able to write manuscripts, present research findings locally and nationally, and contribute to advancing clinical informatics.
  • Background in basics statics.
  • Background in basics AI.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
NN; PD; SN
Requisition ID: 25496

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