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Bioinformatics Data Scientist Jobs in Arizona (NOW HIRING)

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Support end-to-end genomic data analysis, including quality control, alignment, variant calling ...

Caris MPI, Inc.

Manager - Bioinformatics

Phoenix, AZ · On-site

$150 - $210/hr

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... Support end-to-end genomic data analysis, including quality control, alignment, variant calling ...

micro1 AI

AI Training Specialist - Life Sciences

Mesa, AZ · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

micro1 AI

AI Training Specialist - Life Sciences

Yuma, AZ · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics ... Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ...

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All JobsBioinformatics Data Scientist JobsBioinformatics Data Scientist Jobs in Arizona

Bioinformatics Data Scientist information

See Arizona salary details

$34.9K

$114.4K

$183.1K

How much do bioinformatics data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for bioinformatics data scientist in Arizona is $114,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What types of projects does a bioinformatics data scientist typically work on within a research or healthcare team?

Bioinformatics Data Scientists often work on projects involving the analysis of large-scale genomic, proteomic, or clinical datasets to identify patterns, biomarkers, or insights that drive scientific research or patient care. You might be responsible for developing pipelines for next-generation sequencing data, creating machine learning models for disease prediction, or integrating diverse biological datasets to support research objectives. Collaboration with biologists, clinicians, and software engineers is common, and you’ll likely present findings to multidisciplinary teams. This diverse project work not only helps advance scientific understanding but also provides valuable experience that can open doors to roles in research leadership or applied healthcare analytics in the future.

What does a bioinformatics data scientist do?

A bioinformatics data scientist analyzes biological data, such as genetic sequences and molecular structures, using computational tools and statistical methods. They develop algorithms, interpret large datasets, and collaborate with researchers to uncover insights related to health, genetics, and disease, often using programming languages like Python or R. Strong analytical skills and knowledge of biology are essential for this role.

What is a bioinformatics data scientist?

A Bioinformatics Data Scientist applies data science techniques to biological and genomic data to extract meaningful insights. They work with large datasets, develop algorithms, and use machine learning to analyze genetic sequences, protein structures, or clinical data. Their role often involves programming, statistical modeling, and data visualization to support research in healthcare, pharmaceuticals, and biotechnology. Strong skills in Python, R, and bioinformatics tools are essential, along with a solid understanding of biology and computational methods.

What are the key skills and qualifications needed to thrive as a bioinformatics data scientist?

To thrive as a Bioinformatics Data Scientist, you need a strong background in biology, statistics, and computer science, usually supported by a degree in bioinformatics or a related field. Expertise in programming languages such as Python or R, experience with data analysis tools, and familiarity with bioinformatics platforms like BLAST or Nextflow, along with certifications in data science or genomics, are highly valued. Strong problem-solving, communication, and teamwork skills enhance your ability to work across multidisciplinary teams. These skills are important because the role demands effective interpretation of complex biological data and collaboration to drive scientific discovery and innovative healthcare solutions.

What are the most commonly searched types of Bioinformatics Data Scientist jobs in Arizona? The most popular types of Bioinformatics Data Scientist jobs in Arizona are:
What are popular job titles related to Bioinformatics Data Scientist jobs in Arizona? For Bioinformatics Data Scientist jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Scientist jobs in Arizona look for? The top searched job categories for Bioinformatics Data Scientist jobs in Arizona are:
What cities in Arizona are hiring for Bioinformatics Data Scientist jobs? Cities in Arizona with the most Bioinformatics Data Scientist job openings:
Bioinformatics Data Scientist jobs near you
Infographic showing various Bioinformatics Data Scientist job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,378 per year, or $55 per hour.

Scientist - Bioinformatics

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Posted 9 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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