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Contract Cancer Bioinformatics Jobs (NOW HIRING)

System One

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Contract Compensation: $45-$50/hr Work Model: Remote-offsite Hours : 40.0 Overview Leading ... Programming experience with Python and R for bioinformatic data analysis in unix-like systems.

System One

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Contract Compensation: $45-$50/hr Work Model: Remote-offsite Hours : 40.0 Overview Leading ... Programming experience with Python and R for bioinformatic data analysis in unix-like systems.

System One

Data Scientist III

Ridgefield, CT · Remote

$45 - $50/hr

Contract Compensation: $45-$50/hr Work Model: Remote-offsite Hours : 40.0 Overview Leading ... Programming experience with Python and R for bioinformatic data analysis in unix-like systems.

Tuskegee University

... cancer biology, precision medicine, and related biomedical fields. This position offers the ... Develop and implement bioinformatics pipelines for variant calling, structural variant detection ...

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Contract Cancer Bioinformatics information

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$49K

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$400K

How much do contract cancer bioinformatics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for contract cancer 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 contract cancer bioinformatics specialist?

Contract Cancer Bioinformaticians are professionals who specialize in analyzing biological data related to cancer, typically working on a contractual or project basis rather than as permanent staff. They use computational tools and statistical techniques to interpret large datasets, such as genomic or proteomic data, to support cancer research and clinical decision-making. These specialists collaborate with biologists, clinicians, and other researchers to uncover insights into cancer development, progression, and treatment. Their roles may involve developing pipelines, conducting data analysis, and helping design experiments to advance cancer understanding and therapies.

What are the key skills and qualifications needed to thrive as a contract cancer bioinformatics specialist?

To excel as a Contract Cancer Bioinformatics Specialist, you need a strong background in bioinformatics, molecular biology, statistics, and experience analyzing large-scale genomic data, often supported by an advanced degree in a relevant field. Proficiency in programming languages like Python or R, familiarity with next-generation sequencing (NGS) analysis tools, and experience using databases such as TCGA or cBioPortal are typically required. Exceptional problem-solving, attention to detail, and effective communication skills are crucial for collaborating with multidisciplinary research teams and translating complex data into actionable insights. These competencies are vital for driving impactful cancer research and ensuring accurate, reproducible data analysis in a fast-paced, project-based environment.

What are some common challenges faced by contract cancer bioinformatics specialists, and how can they prepare for them?

Contract cancer bioinformaticians often encounter challenges such as rapidly adapting to new datasets, integrating with diverse research teams, and managing tight project timelines. Since contracts may vary in scope and duration, it's important to quickly understand project objectives and existing workflows. Building strong communication skills and staying current with the latest bioinformatics tools and cancer research trends can help you excel in this role. Establishing clear expectations with clients and maintaining organized documentation also contribute to successful contract engagements.
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Contract Cancer Bioinformatics jobs near you
Infographic showing various Contract Cancer Bioinformatics job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 3% As Needed, 82% Full Time, 10% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee, AL • On-site

Tuskegee University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Tuskegee Universityexternal

Other

Re-posted 5 days ago

Job description

Research Assistant Professor-Genomic Sequencing Data Analysis

We are seeking a highly skilled and motivated Research Assistant Professor with expertise in genomic sequencing data analysis to join our multidisciplinary research team. The successful candidate will lead computational and statistical analyses of large-scale genomic datasets, including whole-genome, whole-exome, and transcriptomic sequencing, to advance projects in cancer biology, precision medicine, and related biomedical fields. This position offers the opportunity to develop independent research while contributing to collaborative team science.

  • Perform high-quality computational analysis of next-generation sequencing (NGS) data, including short and long-read whole-genome, whole-exome, RNA-Seq, and spatial transcriptomics datasets.
  • Develop and implement bioinformatics pipelines for variant calling, structural variant detection, transcriptome profiling, and integrative multi-omics analyses.
  • Apply statistical and machine learning approaches to identify genomic alterations, biomarkers, and functional networks.
  • Collaborate with wet-lab scientists to integrate genomic data with experimental results.
  • Contribute to manuscript preparation, figure generation, and presentation of findings at scientific conferences.
  • Write and contribute to competitive grant applications, providing preliminary data and computational expertise.
  • Mentor graduate students, postdoctoral fellows, and research staff in computational genomics.
  • Maintain data management, quality control, and reproducibility standards in accordance with institutional and funding agency guidelines.
Preferred Qualifications
  • Ph.D. or equivalent degree, with postdoctoral training in bioinformatics, computational biology, genomics, computer science, statistics, or related field.
  • Demonstrated expertise in NGS data analysis, including quality control, alignment, variant calling, and downstream interpretation.
  • Proficiency with bioinformatics tools (e.g., GATK, samtools, bcftools, STAR, HISAT2, Cell Ranger, Seurat) and programming languages (e.g., Python, R, Bash).
  • Experience working with high-performance computing and cloud-based analysis platforms.
  • Experience with cancer genomics, single-cell and spatial transcriptomics, or epigenomic data analysis.
Physical Demands

FLSA

FLSA Exempt

Status

Status Full-Time

Skills and Attributes
  • Familiarity with database development, workflow management systems (e.g., Nextflow, Snakernake), and reproducible research practices (e.g., Docker, Git).
  • Strong track record of peer-reviewed publications in genomic data analysis.
  • Excellent problem-solving, organizational, and communication skills.
  • Ability to work effectively in multidisciplinary research teams.
Additional Employment Details

Will this position required travel? yes

Will this position required night, weekend, and after hour work? yes

Will this positon be supported using grants or contract funding? yes

Vacancies

Number of Vacancies 1

Open Date

04/07/2026

Open Until Filled

No

Documents Needed to Apply

Required Documents

  • Resume
  • Cover Letter
  • Transcript 1
  • Letter of Recommendation 1
  • Letter of Recommendation 2
  • Letter of Recommendation 3
Optional Documents
  • Other
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