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Bioinformatics Java Jobs (NOW HIRING)

Baylor Genetics

AD Scientific Innovation

Houston, TX · On-site

JOB SUMMARY The Associate Director of Bioinformatics Innovation is responsible for driving the ... Java. • Demonstrated success leading innovative computational solution development. • Deep ...

Washington University of St. Louis

$41K - $75K/yr

Alzheimer's Disease, Analytical Thinking, Bioinformatics Tools, Communication, Complex Data ... Java (Programming Language), MATLAB, Model Organism, Python (Programming Language) Grade R09 Salary ...

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How much do bioinformatics java jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for bioinformatics java in the United States is $56.70, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.46 per hour, depending on experience, location, and employer.

What is a bioinformatics Java?

A Bioinformatics Java job involves developing software solutions for analyzing biological data, such as DNA sequences, protein structures, or genomic information, using Java programming. Professionals in this role work with bioinformatics algorithms, databases, and tools to support research in genomics, drug discovery, and biotechnology. They often collaborate with biologists, data scientists, and researchers to create efficient computational solutions for complex biological problems. Strong skills in Java, data structures, and bioinformatics tools like Bioconductor or Apache Hadoop are typically required.

What does a bioinformatics Java do?

As a Bioinformatics Java developer, your daily tasks often include designing, developing, and maintaining Java-based software applications that process and analyze biological data. You'll work closely with interdisciplinary teams of biologists, data scientists, and other software engineers to understand requirements and translate them into functional solutions. Additional responsibilities may involve optimizing algorithms for large-scale genomic data, integrating data from public repositories, or developing tools for data visualization. Active participation in code reviews, documenting software, and troubleshooting technical issues are also routine parts of the role. This collaborative and diverse work environment offers opportunities to contribute directly to important advancements in scientific research.

What are the key skills and qualifications needed to thrive in a bioinformatics Java position?

To thrive as a Bioinformatics Java professional, you need strong programming skills in Java, a solid understanding of bioinformatics concepts, and typically a degree in bioinformatics, computer science, or a related field. Experience with bioinformatics tools, databases (such as BLAST, GenBank, or Ensembl), and workflow management systems is highly valued, and industry certifications can be advantageous. Strong problem-solving abilities, attention to detail, and effective collaboration and communication skills distinguish top performers. These qualifications enable professionals to develop robust software solutions that address complex biological data challenges and facilitate research breakthroughs.

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Bioinformatics Java jobs near you
Infographic showing various Bioinformatics Java job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 3% Part Time, and 16% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $117,931 per year, or $56.7 per hour.

Bioinformatician II- Full Time- Day Shift

Henry Ford Medical Group

Detroit, MI • On-site

Other

Posted 9 days ago

Job description

GENERAL SUMMARY: 

Works with investigators and clinicians in the design, collection, processing, and analysis of study that generate data in one or more of the following domains: -omic (e.g., genomics, transcriptomics, epigenomics), imaging (e.g., medical imaging technologies and histopathologic images), electronic health records, and emerging bioinformatic data areas. Develops goals, methods, procedures, and analytic pipelines. Provides in-depth analysis of studies using a variety of computational/statistical methods, bioinformatics tools, and prepare interpretive reports. Applies both biological and bioinformatic skills to evaluate biomedical informatics data in single domains (e.g., SNP array and next-generation sequencing data) and/or integrate data across multiple domains and time points (e.g., computational biology). Devises and documents new approaches to analyze these data. Prepares proposal reviews and conduct seminars on statistical analyses as appropriate. Provides guidance on the work of other bioinformaticians and data processes. Acts as a technical resource and provides guidance to support personnel.

EDUCATION/EXPERIENCE REQUIRED: 

  • Bachelor's degree in genetics or statistical genetics; pharmacology; biology (particularly molecular, evolutionary, or computational biology); biostatistics; bioinformatics; data mining; engineering with a healthcare focus, physics, or a comparable degree/training is required with four (4) years of experience. OR Master's degree in genetics or statistical genetics; pharmacology; biology (particularly molecular, evolutionary, or computational biology); biostatistics; bioinformatics; data mining; engineering with a healthcare focus, physics, or a comparable degree/training is required with two (2) years of experience. 
  • Experience working with statistical/bioinformatics software packages (e.g., R, Bioconductor, SAS), scientific programming skills (e.g., Python, C, Java, shell scripting), and knowledge in working in a Linux and/or command line environment required. 
  • Cloud computing skills and experience preferred. 
  • Alternatively, having deep knowledge in working with, collecting data, and cleaning data in the previously mentioned bioinformatics data domains may substitute for the previously mentioned experience.
  •  Excellent verbal and written communication skills are required to interact with research and clinical staff of various levels, as well as to assist in research grant applications, to present at scientific conferences, and to prepare and submit scientific manuscripts for publication.
  • Strong understanding of clinical data, including diagnoses, procedures, medications, laboratory results, and clinical workflows.
  • Experience with data collection, data cleaning, database querying, and clinical data management.
  • Strong analytical and problem-solving skills, with excellent attention to detail and the ability to collaborate effectively with multidisciplinary teams.
  • Familiarity with healthcare data coding systems (e.g., ICD and CPT).
  • Understanding of patient privacy, data governance, and regulatory requirements related to healthcare data (e.g., HIPAA).
Additional Information
  • Organization: Henry Ford Medical Group
  • Department: Biorepository Core Research
  • Shift: Day Job
  • Union Code: Not Applicable

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