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Transplant Data Analyst Jobs (NOW HIRING)

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Analyze high-throughput genomic sequence data, including whole-genome sequencing, whole-exome ... transplants and precision medicine.

What You'll Do As a Transplant Coordinator 1 PR, you will directly contribute to LifeLink's life ... analyzing, and interpreting medical data according to federal, state, regulating agencies and ...

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Transplant Data Analyst information

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$34K

$82.6K

$136K

How much do transplant data analyst jobs pay per year?

As of Jun 10, 2026, the average yearly pay for transplant data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Transplant Data Analyst, and why are they important?

To thrive as a Transplant Data Analyst, you need strong analytical skills, a background in health data management or statistics, and typically a bachelor's degree in a related field. Familiarity with data analysis tools like SQL, SAS, or R, as well as experience with transplant databases such as UNOS or SRTR, is commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with clinical teams. These competencies are crucial for ensuring accurate reporting, compliance, and supporting quality improvement in transplant programs.

What are some common challenges faced by Transplant Data Analysts, and how can they be addressed?

Transplant Data Analysts often encounter challenges such as managing large volumes of sensitive patient data, ensuring data accuracy for regulatory compliance, and integrating information from multiple hospital systems. To address these challenges, it's important to develop strong data validation processes, stay up-to-date with privacy regulations like HIPAA, and collaborate closely with clinical and IT teams. Effective communication and continuous learning about new data management tools can also help analysts navigate the complexities of transplant data environments.

What are transplant data analysts?

Transplant data analysts are professionals who collect, analyze, and interpret data related to organ transplantation programs. They work closely with transplant teams to monitor outcomes, ensure compliance with regulatory requirements, and support quality improvement initiatives. Their duties often include managing databases, preparing reports, and helping to optimize patient care through data-driven insights. These analysts play a critical role in supporting both clinical and administrative aspects of transplant programs.
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What cities are hiring for Transplant Data Analyst jobs? Cities with the most Transplant Data Analyst job openings:
What states have the most Transplant Data Analyst jobs? States with the most job openings for Transplant Data Analyst jobs include:
Infographic showing various Transplant Data Analyst job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Bioinformatics Scientist / Genomic Data Analyst

Bioinformatics Scientist / Genomic Data Analyst

Scisco Genetics

Seattle, WA • On-site

$95K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

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Job description

We are seeking a highly trained Bioinformatics Scientist with a PhD or equivalent research experience in bioinformatics, computational biology, genetics, genomics, immunology, or a closely related field. The ideal candidate will have strong experience analyzing genomic sequence data and a deep interest in the genetic basis of human immune response.

This role will focus on the analysis and interpretation of genomic, transcriptomic, and/or immune-related sequence datasets to help identify genetic variation, molecular pathways, and biological mechanisms associated with human immune function, immune response, disease susceptibility, vaccine response, inflammation, autoimmunity, infection, or related phenotypes.


Key Responsibilities

The selected candidate will:

  • Analyze high-throughput genomic sequence data, including whole-genome sequencing, whole-exome sequencing, targeted sequencing, and related datasets.
  • Develop, implement, and optimize bioinformatics pipelines for sequence data processing, quality control, variant calling, annotation, and downstream interpretation.
  • Investigate genetic contributors to human immune response, including HLA variation, immune receptor loci, cytokine pathways, host-pathogen response, or other immunogenetic features.
  • Integrate genomic data with clinical, phenotypic, immunological, or functional datasets.
  • Interpret results in a biologically meaningful context and communicate findings to interdisciplinary teams.
  • Prepare reports, figures, manuscripts, grant materials, or presentations summarizing analytical methods and scientific findings.
  • Collaborate with scientists, clinicians, computational biologists, immunologists, and other stakeholders.


Required Qualifications

  • PhD in bioinformatics, computational biology, human genetics, genomics, immunology, biostatistics, or a related discipline.
  • Demonstrated experience analyzing genomic sequence data.
  • Strong understanding of human genetics and genomic variation.
  • Familiarity with immune response genetics, immunogenomics, host-pathogen genetics, vaccine response genetics, autoimmunity, inflammatory disease, or related areas.
  • Proficiency in programming and data analysis using tools such as Python, R, Bash, Nextflow, Snakemake, or similar platforms.
  • Experience working in Linux/Unix computing environments and with high-performance computing or cloud-based analysis systems.
  • Familiarity with standard bioinformatics tools and file formats, such as FASTQ, BAM/CRAM, VCF, GTF/GFF, BED, BCFtools, GATK, PLINK, STAR, HISAT2, Salmon, Seurat, or related tools.
  • Ability to work independently, manage complex datasets, and document analytical workflows clearly.


Preferred Qualifications

  • Experience with HLA typing, immune repertoire sequencing, single-cell immune profiling, GWAS, eQTL analysis, or rare variant analysis.
  • Familiarity with population structure, ancestry inference, polygenic risk scores, or fine-mapping methods.
  • Prior publications or demonstrated research contributions in immunogenetics, infectious disease genetics, autoimmune disease genetics, cancer immunology, vaccine response, or related fields.
  • Experience with reproducible workflow development, containerization, Git-based version control, or cloud platforms such as AWS, Google Cloud, or Azure.


Desired Skills and Attributes

  • Strong analytical and problem-solving skills.
  • Excellent scientific communication skills.
  • Ability to collaborate across computational, biological, and clinical teams.
  • Careful attention to data quality, reproducibility, and documentation.
  • Intellectual curiosity and interest in the genetic determinants of human immune function.



Company Description

Scisco Genetics, a Seattle-based biotechnology company, specializes in next-generation sequencing (NGS) services and products for genotyping complex immune gene systems, including HLA, KIR, MICAB, FCGR, and IGHG. Founded and led by Dr. Daniel Geraghty, whose research at the Fred Hutchinson Cancer Research Center focuses on immune genetics, the company offers tools like the ScisGo product and Version 6 NGS HLA Typing Kit for high-resolution, accurate genotyping, supporting applications such as hematopoietic cell transplants and precision medicine.