Bioinformatics Machine Learning Internship Jobs in Arizona

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.