Data Scientist, Data & Science Solutions

Reposted 3 Days Ago
85281, Tempe, AZ, USA
In-Office
Internship
Artificial Intelligence • Healthtech • Biotech
Where Molecular Science Meets Artificial Intelligence – Revolutionizing Cancer Care.
The Role
The data scientist will contribute to molecular biomarker research, develop reproducible data science pipelines, and communicate insights to stakeholders.
Summary Generated by Built In

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            

Caris Life Sciences is seeking a data scientist to expand, test, and validate a suite of molecular biomarkers aimed to improve the standard of care for patients undergoing treatment for cancer. This is a research role within the Caris signature development program and responsibilities will center on statistical or machine-learning derived predictions of phenotypic treatment response built from the genotypic data types available on Caris molecular sequencing platforms. A successful candidate will have the analytical, code-oriented mindset to create reproducible data science pipelines, and the communication skills to discuss the implications of the scientific results with our medical professionals.

  

Job Responsibilities 

  • Contribute to analytics and research that support internal stakeholders and external partners.

  • Assist in the development and evaluation of molecular signatures and analytical approaches that leverage Caris' data to support partner research and drug discovery strategies.

  • Support preparation of analytical results and figures for internal reviews and client-facing discussions.

  • Develop and maintain tools, workflows, and automated solutions to scale data analytics and data science operations.

  • Support the Biopharma Solutions team with feasibility assessments and tooling to optimize workflows.

  • Write well-structured, well-documented, and reproducible code, including efficient queries and organized codebases.

    Required Qualifications 

    • PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field.

    • Strong programming skills in Python or R, with experience developing reproducible analysis workflows.

    • Experience with Linux ecosystem, Git, and queries from SQL or related database families.

    • Experience with molecular genetics data and/or multimodal real-world data (RWD).

    • Ability to translate biological and scientific questions into analytical or statistical approaches and deliver data-driven insights.

    • Strong verbal and written communication skills, with the ability to explain complex technical concepts in clear language.

    Preferred Qualifications 

    • Experience with interpretation of clinical health records including Electronic Health Records, insurance claims data, or patient histories.

    • Experience collaborating directly with external partners or clients, particularly in biopharma or healthcare.

    • Good code documentation practices and experience with workflow management packages.

    • Experience working in cloud or HPC clusters.

      

    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.

    • Visual acuity and analytical skill to distinguish fine detail.

    • Must possess ability to sit and/or stand 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 may require periodic travel and some evenings, weekends, and/or 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.

    Skills Required

    • PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field
    • Strong programming skills in Python or R
    • Experience with Linux ecosystem and Git
    • Experience with SQL or related database
    • Ability to translate biological questions into analytical approaches

    Caris Life Sciences Compensation & Benefits Highlights

    The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Caris Life Sciences and has not been reviewed or approved by Caris Life Sciences.

    • Fair & Transparent Compensation Pay is considered competitive or fair across many roles and locations. Shift differentials and overtime opportunities in certain lab roles can further boost take‑home pay.
    • Healthcare Strength Medical coverage is described as strong, with the employer covering the majority of premiums and health insurance frequently cited positively. Day‑one eligibility and company‑paid short‑ and long‑term disability reinforce core health protections.
    • Retirement Support A 401(k) with immediate vesting and a defined employer match supports long‑term savings. Plan details are presented clearly in benefits materials.

    Caris Life Sciences Insights

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    The Company
    HQ: Irving, TX
    1,700 Employees
    Year Founded: 2008

    What We Do

    Caris Life Sciences was founded in 2008 with a simple but powerful purpose – to help improve the lives of as many people as possible. With transformative technologies informed by massive amounts of big data, we are revolutionizing healthcare to provide physicians and patients with the highest quality information about their disease – from detecting it early and determining how best to treat it, to developing the next wave of novel therapies.

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