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Biotech Data Science Jobs in Arizona (NOW HIRING)

Caris Life Sciences

Senior Data Scientist

Tempe, AZ · On-site

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... biotech, life sciences, or translational research. * Demonstrated experience in computational ...

Caris Life Sciences

Senior Data Scientist

Tempe, AZ

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... biotech, life sciences, or translational research. * Demonstrated experience in computational ...

Clarivate

Business Development Manager (BDM)

Tempe, AZ · On-site

Degree in pharmaceutical, biotechnology, life sciences, or medical sciences * Experience selling software, data, analytics, or services into life sciences or pharma * Demonstrated experience managing ...

Dawar Consulting

Validation Engineer

Tucson, AZ · On-site

$39 - $42/hr

Our client, a world leader in biotechnology and life sciences, is looking for a " Validation ... data to ensure compliance with regulatory and internal quality requirements Collaborate with ...

Dawar Consulting, Inc.

Validation Engineer

Tucson, AZ

$39 - $42/hr

Our client, a world leader in biotechnology and life sciences, is looking for a " Validation ... Analyze and interpret validation data to ensure compliance with regulatory and internal quality ...

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Biotech Data Science information

See Arizona salary details

$34.9K

$114.4K

$183.1K

How much do biotech data science jobs pay per year?

As of May 30, 2026, the average yearly pay for biotech data science 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 is a Biotech Data Science job?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Biotech Data Science position, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What are the most common challenges faced by professionals in Biotech Data Science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.
More about Biotech Data Science jobs
What are the most commonly searched types of Biotech Data Science jobs in Arizona? The most popular types of Biotech Data Science jobs in Arizona are:
What are popular job titles related to Biotech Data Science jobs in Arizona? For Biotech Data Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Biotech Data Science jobs in Arizona look for? The top searched job categories for Biotech Data Science jobs in Arizona are:
Biotech Data Science jobs near you
Infographic showing various Biotech Data Science job openings in Arizona as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 80% Physical, and 20% Remote job distribution, with an average salary of $114,378 per year, or $55 per hour.

Senior Data Scientist

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 experienced Senior Data Scientist will support our precision medicine and biomarker discovery initiatives. This role will contribute to target and drug discovery efforts through advanced analytics, machine learning, and large-scale data processing across multi-omics and clinical datasets, and brings a strong quantitative and scientific background, excellent programming skills, and the ability to translate complex biological questions into robust analytical solutions. This role also involves technical leadership, cross-functional collaboration, and ownership of end-to-end analytics and machine learning workflows.
Job Responsibilities
  • Lead and contribute to scientific research efforts using advanced statistical, machine learning, and AI methodologies.
  • Manipulate, integrate, and analyze large, multi-source and multi-omics datasets.
  • Design, develop, validate, deploy, and monitor data processing and machine learning pipelines.
  • Develop, implement, refine, and test algorithms and workflows to meet specific project objectives.
  • Provide statistical support for experimental design, assay development, biomarker discovery, and diagnostic product development.
  • Build and deploy scalable analytics solutions, APIs, and data applications using cloud and/or HPC environments.
  • Author and review statistical analysis plans, protocols, and technical reports for clinical and non-clinical studies.
  • Collaborate closely with data engineers, data scientists, software engineers, and R&D scientists to build and maintain analytics platforms.
  • Lead or contribute to cross-functional and cross-team research initiatives.
  • Provide general informatics and analytical support for laboratory research, technology development, and clinical studies.
  • Respond to ad hoc data analysis requests with accuracy, rigor, and timeliness.
  • Adhere to coding, documentation, and quality standards; manage technical deliverables for assigned projects.
  • Provide technical mentorship and guidance to junior team members, as appropriate.

Required Qualifications
  • Ph.D. in Mathematics, Computer Science, Engineering, Bioinformatics, Computational Biology, or a related quantitative field with strong domain knowledge in molecular biology and genomics.
  • Proficiency in Python (and/or R) for data analysis, statistical modeling, and machine learning in a scientific computing environment.
  • Hands-on experience with AWS cloud computing platform.
  • 5+ years of relevant experience applying quantitative, statistical, and computational approaches in biotech, life sciences, or translational research.
  • Demonstrated experience in computational biology, including analysis and interpretation of high-throughput biological data such as genomics, transcriptomics, proteomics, epigenomics, or other multi-omics modalities.
  • Hands-on experience working with molecular, cellular, clinical, and/or multi-omics datasets, including data QC, normalization, integration, and downstream analysis.
  • Strong ability to translate biological and clinical research questions into statistically sound and computationally efficient analytical solutions.
  • Working knowledge of bioinformatics tools, pipelines, and data formats (e.g., FASTQ, BAM/CRAM, VCF, GTF, HDF5, or equivalent).
  • Proficiency with Linux and command-line workflows commonly used in bioinformatics and computational research.
  • Experience querying and working with complex relational and non-relational databases.
  • Strong verbal and written communication skills, with the ability to clearly explain complex biological and computational concepts to multidisciplinary audiences.
  • Team-oriented mindset with a passion for personalized medicine, data-driven discovery, and scientific innovation.

Preferred Qualifications
  • Experience in cancer biology, molecular biology, biomarker discovery, or diagnostic development.
  • Proven experience developing and validating predictive models using machine learning, deep learning, LLM and/or Agentic AI techniques.
  • Experience designing and maintaining relational (e.g., MySQL, PostgreSQL) and non-relational (e.g., MongoDB) databases.
  • Experience developing data-driven or analytics-enabled applications.
  • Familiarity with modern software engineering best practices, including CI/CD, containerization, microservices, and system architecture.
  • Knowledge of DevOps, MLOps, and/or DataOps concepts and tooling.
  • Demonstrated success working in multidisciplinary, cross-functional teams.

Physical Demands
  • Will work at a computer most of the time, with some time spent collaborating with subject matter experts and business group leaders either in person or through remote conferencing.

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

Other
  • Job may require after-hours response to emergency issues.

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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