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Full Time Computer Science Bioinformatics Jobs in Phoenix, AZ

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Full Time Computer Science Bioinformatics information

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$5

$43

How much do full time computer science bioinformatics jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for full time computer science bioinformatics in Phoenix, AZ is $42.49, according to ZipRecruiter salary data. Most workers in this role earn between $42.26 and $42.74 per hour, depending on experience, location, and employer.

What skills and qualifications are needed for a full time computer science bioinformatics role?

To thrive as a Full Time Computer Science Bioinformatics professional, you need a solid background in computer science, biology, and statistics, usually supported by a degree in bioinformatics, computer science, or a related field. Proficiency in programming languages like Python, R, and experience with bioinformatics tools and databases such as BLAST, Bioconductor, and NCBI are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and interpret complex biological data. These skills and qualities are vital for developing innovative computational solutions that advance biological research and healthcare applications.

What types of interdisciplinary collaboration are common in a full time computer science bioinformatics role?

In a Full Time Computer Science Bioinformatics position, professionals frequently collaborate with biologists, statisticians, and clinicians to interpret complex biological data. You’ll often work on cross-functional teams, contributing your computational expertise to projects such as genomic analysis, drug discovery, or clinical data interpretation. Effective communication is key, as you'll need to translate technical findings for team members with diverse backgrounds. This collaborative environment not only enriches problem-solving but also broadens your professional network and skill set.

What is the difference between Full Time Computer Science Bioinformatics vs Full Time Data Scientist?

AspectFull Time Computer Science BioinformaticsFull Time Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, Computer Science
Work EnvironmentResearch labs, healthcare, biotech companiesTech firms, finance, healthcare, consulting
Industry UsageBiotech, pharmaceuticals, academiaTechnology, finance, marketing
Common Search IntentBioinformatics roles, computational biology jobsData analysis, machine learning roles

Full Time Computer Science Bioinformatics focuses on applying computational techniques to biological data, often in healthcare or research settings. Full Time Data Scientist emphasizes analyzing large datasets across various industries. While both roles require programming skills and data analysis expertise, bioinformatics is specialized in biological applications, whereas data science covers broader sectors.

What is a full time computer science bioinformatics?

Full time computer science bioinformatics jobs involve using computational and analytical methods to solve biological and biomedical problems. Professionals in these roles develop and apply software tools, algorithms, and databases to analyze biological data, such as DNA sequences, protein structures, and gene expression profiles. These positions typically require strong programming skills, knowledge of biology, and expertise in data analysis. Full time roles may be found in academic research, biotechnology companies, pharmaceutical firms, and healthcare organizations.
Full Time Computer Science Bioinformatics jobs near you

Scientist - Bioinformatics

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Posted 5 days ago

Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if this patient were my mom?" That question drives everything we do.
But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
The Scientist - Bioinformatics will be responsible for supporting and maintaining Caris' existing NGS pipelines, as well as developing, implementing, and validating new NGS pipelines and related bioinformatics tools. As a member of the Caris Bioinformatics team, this role will work closely with our R&D, Clinical Operations, IT, and executive management to design and manage the analytic workflows and pipelines to support our whole exome, transcriptome, and genome assays.
Job Responsibilities
  • Responsible for the implementation and maintenance of computational pipelines and workflows for the analysis, integration, and interpretation of diverse biologic data including genomic, transcriptomic, proteomic, and metabolomic data.
  • Implement bioinformatics strategies, ensuring alignment with organizational goals and scientific objectives.
  • Collaborate with research, clinical, and data scientists to identify computational needs, translate scientific and clinical questions into analytical workflows, and provide guidance for data processing, quality control, and statistical analysis.
  • Stay abreast of emerging bioinformatics tools, techniques, and best practices, and work to incorporate them into the bioinformatics framework.
  • Ensure the timely delivery of high-quality bioinformatics results by implementing rigorous quality control and validation procedures.
  • Establish and maintain databases, data repositories, and analytical platforms to facilitate data integration, sharing, and access for internal and external stakeholders.
  • Collaborate with IT and software development teams to optimize computational infrastructure, cloud computing, and database systems to support bioinformatics data storage, analysis, and visualization.
  • Ensure compliance with relevant data protection regulations and ethics guidelines, promoting best practices for data management, privacy, and security.
  • Collaborate with internal stakeholders, external partners, and customers to provide technical expertise, foster collaborations, and contribute to the development of joint research projects.

Required Qualifications
  • PhD in bioinformatics, biostatistics, biomedical engineering, computer science or other related disciplines.
  • Experience (2-5 years) with state-of-the-art bioinformatics tools, especially NGS pipelines.
  • Knowledge and analytic skills managing bioinformatics data including FASTQ, BAM, and VCF.
  • Programming experience with Python, bash, SQL, GIT.
  • Experience with AWS services (e.g., Lambda, Step Functions and OMICS) and workflow languages such as WDL or Nextflow is preferred.
  • Skills in statistical analysis and data visualization with statistical packages such as R, SAS, or SciPy
  • Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.

Preferred Qualifications
  • Good verbal and written communication skills.
  • Willingness to share and receive information and ideas from all levels of the organization in order to achieve the desired results.
  • Strong foundation in principles and analytical methodologies in computational biology and bioinformatics to build and maintain large scale pipelines.

Physical Demands
  • Must possess ability to sit, stand, and/or work at a computer for long periods of time

Training
  • All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.

Other
  • This position requires periodic travel and some evenings, weekends and/or holidays.
  • Job may require after-hours response to emergency issues.
  • Periodically scheduled on-call may require after-hours response for technical emergencies not explicitly related to assigned job responsibilities.
  • At times may be required to work weekends/holidays.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

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