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Nih Bioinformatics Jobs (NOW HIRING)

University of Pennsylvania

Bioinformatician A

Center, TX · On-site

$57K - $77K/yr

... bioinformatics datasets. This position ensures that genomic, transcriptomic (bulk, single cell ... NIH, NSF). 10 * Preprocessing Pipelines: Execute predefined preprocessing or quality control ...

University of Pennsylvania

Bioinformatician A

Center, TX · On-site

$57K - $77K/yr

... bioinformatics datasets. This position ensures that genomic, transcriptomic (bulk, single cell ... NIH, NSF). 10 * Preprocessing Pipelines: Execute predefined preprocessing or quality control ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs) related research objectives * Maintain and enhance NIH databases and tools through data curation ...

Imagineeer LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs) related research objectives * Maintain and enhance NIH databases and tools through data curation ...

BCC-NIH

Staff Scientist

Bethesda, MD

NIH Roadmap Epigenomics * UCSC Genome Database * Apply AI methodologies to functionally annotate ... PhD in Computer Science, Computational Biology, Bioinformatics, or a related field * Minimum of 5 ...

Ariadne

NCBI Software Developer (C++, Python)

Bethesda, MD · On-site +1

$52.25 - $70.50/hr

Overview Ariadne is searching for a Software Developer in Bioinformatics and Big Data to support our work at the National Institutes of Health. This opportunity is full time and onsite at the NIH in ...

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Nih Bioinformatics information

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How much do nih bioinformatics jobs pay per year?

As of Jul 5, 2026, the average yearly pay for nih 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 are the key skills and qualifications needed to thrive in the Nih Bioinformatics position, and why are they important?

To thrive as an NIH Bioinformatics professional, you need a strong background in biology, genomics, and computational science, typically supported by a relevant advanced degree. Familiarity with bioinformatics software (such as BLAST, GATK, or R/Bioconductor), programming languages like Python or Perl, and experience with large data sets are crucial. Excellent problem-solving, collaboration, and communication skills set candidates apart in multidisciplinary research environments. These abilities are essential for analyzing complex biological data, contributing to impactful scientific discoveries, and working effectively with cross-functional teams.

What is an NIH Bioinformatics job?

An NIH Bioinformatics job involves using computational tools and techniques to analyze biological data, often in fields like genomics, proteomics, and biomedical research. Professionals in this role work with large datasets to support medical and scientific discoveries, aiding in public health and personalized medicine. These jobs can be research-focused, involving algorithm development, data visualization, and statistical modeling. They are typically found at the National Institutes of Health (NIH) or NIH-funded organizations, supporting projects that advance medical knowledge. Strong programming skills, biological expertise, and experience with bioinformatics tools are often required.

What are the typical daily responsibilities of an NIH Bioinformatics professional?

As an NIH Bioinformatics professional, your daily tasks often include analyzing large-scale genomic or proteomic data, developing and maintaining computational pipelines, and collaborating with biologists and clinicians to interpret research findings. You may regularly write scripts to optimize data processing, curate databases, and generate visualizations or reports for ongoing projects. Close collaboration with diverse research teams is common, requiring adaptability and clear communication. These responsibilities support the NIH's mission to advance biomedical research and drive meaningful, data-driven scientific insights.

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Nih Bioinformatics jobs near you
Infographic showing various Nih Bioinformatics job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 34% Full Time, 16% Part Time, and 48% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.
Postdoctoral Associate - Clinical Bioinformatics

Postdoctoral Associate - Clinical Bioinformatics

Baylor College of Medicine

Houston, TX

Full-time

Posted 18 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

54th of 544 rated colleges and universities

Job description

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.

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