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Genomic Data Science Jobs in Phoenix, AZ (NOW HIRING)

Caris Life Sciences

Manager - Bioinformatics

Tempe, AZ · On-site

Support end-to-end genomic data analysis, including quality control, alignment, variant calling ... Partner with laboratory scientists, molecular pathologists, clinical teams, statisticians, and ...

Caris MPI, Inc.

Manager - Bioinformatics

Phoenix, AZ · On-site

$150 - $210/hr

Support end-to-end genomic data analysis, including quality control, alignment, variant calling ... Partner with laboratory scientists, molecular pathologists, clinical teams, statisticians, and ...

Varsity Tutors

Genetics Tutor

Tempe, AZ · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

Varsity Tutors

Genetics Tutor

Phoenix, AZ · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

Varsity Tutors

Genetics Tutor

Mesa, AZ · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

Varsity Tutors

Genetics Tutor

Chandler, AZ · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

Varsity Tutors

Genetics Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

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Genomic Data Science information

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How much do genomic data science jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for genomic data science in Phoenix, AZ is $56.41, according to ZipRecruiter salary data. Most workers in this role earn between $46.30 and $66.83 per hour, depending on experience, location, and employer.

What is genomic data science?

Genomic data science is an interdisciplinary field that focuses on analyzing and interpreting vast amounts of genetic and genomic data using computational and statistical methods. Professionals in this field use bioinformatics tools, machine learning, and data analysis techniques to uncover insights about genes, diseases, evolution, and biological processes. Genomic data scientists often work with large datasets from next-generation sequencing and collaborate with biologists, clinicians, and researchers to advance our understanding of genetics and its applications in medicine and research.

How does a genomic data scientist typically collaborate with multidisciplinary teams in research or healthcare settings?

Genomic Data Scientists often work closely with biologists, clinicians, statisticians, and software engineers to interpret complex genomic datasets. Collaboration usually involves translating biological questions into analytical tasks, developing and applying computational pipelines, and communicating findings in accessible terms. Regular meetings, shared project management tools, and cross-disciplinary workshops are common, fostering an environment where diverse expertise is integrated to advance research or clinical objectives. This collaborative approach not only enhances the quality of insights but also provides opportunities for professional growth and learning from adjacent fields.

What are the key skills and qualifications needed to thrive as a genomic data scientist, and why are they important?

To excel as a Genomic Data Scientist, you need a strong background in bioinformatics, genetics, and statistical analysis, typically supported by a degree in biology, computational science, or a related field. Familiarity with tools like Python, R, next-generation sequencing (NGS) platforms, and databases such as Ensembl is crucial, as is experience with cloud computing or high-performance computing environments. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are vital soft skills in this role. These competencies enable accurate data interpretation, effective collaboration, and innovative research that advances our understanding of genomics.

What is the difference between Genomic Data Science vs Bioinformatics?

AspectGenomic Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Bioinformatics, or related fields; programming skillsDegree in Bioinformatics, Biology, or related fields; computational skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch labs, academic institutions, biotech firms
Industry UsageAnalyzing large genomic datasets, developing algorithmsSequence analysis, genome annotation, biological data interpretation
Common Search IntentData analysis in genomics, computational methods for geneticsGenomic sequence analysis, biological data processing

While both roles involve working with genomic data, Genomic Data Science focuses on applying data science techniques, machine learning, and statistical analysis to large genomic datasets. Bioinformatics emphasizes biological sequence analysis, genome annotation, and biological interpretation. Both fields often overlap but differ mainly in their core focus: data science methods versus biological data analysis.

What are popular job titles related to Genomic Data Science jobs in Phoenix, AZ?

For Genomic Data Science jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Genomic Data Science jobs in Phoenix, AZ look for?

The top searched job categories for Genomic Data Science jobs in Phoenix, AZ are:

Genomic Data Science jobs near you
Infographic showing various Genomic Data Science job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $115,010 per year, or $55.3 per hour.

Vice President - Data Science

Tempe, AZ • On-site

Caris Life Sciences
See more jobs at Caris Life Sciencesexternal

Full-time

Re-posted 13 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 Vice President, Data Science provides senior leadership for Caris' AI-driven clinical insights and predictive modeling initiatives. This role leads the development of novel AI signatures leveraging Caris' large-scale clinico-genomic database to identify molecular characteristics of disease that are prognostic of patient outcomes or predictive of response to therapy.
The Vice President oversees a multidisciplinary team of data scientists, computational biologists, and translational researchers responsible for identifying clinically meaningful questions, developing and validating AI-based molecular signatures, and translating discoveries into scalable clinical reporting capabilities. Partnering with Executive Leadership, R&D, Clinical Development, Medical Affairs, Bioinformatics, Regulatory Affairs, and Commercial teams, this role ensures delivery of scientifically rigorous, clinically meaningful, and operationally scalable AI innovations that advance precision medicine.
Job Responsibilities
  • Define and execute the strategy for AI-driven clinical insight and molecular signature development across Caris' molecular profiling platforms.
  • Identify clinically relevant questions where advanced analytics can deliver prognostic or predictive insights.
  • Oversee development of AI signatures integrating genomic, transcriptomic, proteomic, and clinical outcomes data.
  • Establish governance and standards for model development, validation, documentation, and lifecycle management.
  • Collaborate with Regulatory and Clinical Development teams to ensure appropriate validation and evidence generation.
  • Lead implementation of AI products within a regulated CAP/CLIA clinical environment.
  • Oversee engineering and production deployment of AI pipelines within Caris' clinical reporting infrastructure.
  • Ensure scalable, reproducible, auditable computational pipelines and canonical data models.
  • Lead development of clinically interpretable reporting frameworks for physicians.
  • Partner with Product and Commercial teams to integrate AI insights into clinical reports and decision-support tools.
  • Build, mentor, and lead high-performing teams of data scientists and computational biologists.
  • Set organizational goals, budgets, roadmaps, OKRs, and performance metrics aligned with corporate priorities.
  • Champion a culture of scientific rigor, accountability, transparency, and continuous improvement.

Required Qualifications
  • PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or a related field.
  • 10+ years of experience building and implementing supervised and unsupervised machine learning models for complex problem solving.
  • Expert proficiency in Python (pandas, NumPy, statistical and ML libraries) and SQL.
  • Strong expertise in machine learning, statistical modeling, and large-scale biomedical data analysis.
  • Experience working with multi-omic datasets including genomics, transcriptomics, and proteomics.
  • Experience leveraging large clinical datasets for biomarker discovery, predictive modeling, or outcomes research.
  • Working knowledge of regulatory considerations for algorithm development in clinical diagnostics environments.
  • Demonstrated people leadership and direct management experience with accountability for large-scale outcomes.
  • Outstanding verbal and written communication skills.
  • Proficient in Microsoft Office Suite including Word, Excel, Outlook, and PowerPoint.
  • This is an onsite role based at our Phoenix, AZ office and requires regular in-person presence.

Preferred Qualifications
  • Experience working in regulated clinical laboratory environments (CAP/CLIA).
  • Familiarity with cloud computing platforms and large-scale data infrastructures.
  • Experience translating advanced analytics into physician-facing clinical products.

Physical Demands
  • Ability to sit, stand, and work at a computer for extended periods of time.

Training
  • All job-specific, safety, and compliance training assigned based on job responsibilities.

Other
  • May require occasional after-hours work to meet deadlines.
  • May require occasional travel.

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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