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 creative, driven, and goal-oriented Data Scientist – Computer Vision to join our Computational Pathology team focused on histopathology biomarkers. This role plays a critical part in developing computer vision-based machine learning algorithms and analytic pipelines to support Caris’ translational research. The successful candidate will help shape our digital pathology AI capabilities by designing and maintaining machine learning infrastructure, collaborating across scientific teams, and contributing to high-impact publications.

Job Responsibilities

• Design, implement, refine, and test algorithms and workflows to support strategic goals in image biomarker discovery, molecular profiling, and translational R&D.

• Collaborate with pathologists and scientists to develop ground truth datasets and extract features from whole slide images (WSIs) and other modalities.

• Build predictive models using structured and unstructured data, integrating imaging, molecular, and clinical data.

• Process and analyze large, multi-source datasets across various data types.

• Support ad hoc analyses and reporting requests with accurate and interpretable results.

• Follow best practices in code development, documentation, and model delivery in a collaborative team environment.

Required Qualifications

• PhD in Data Science, Computational Biology, Computer Science, Engineering, Mathematics, Bioinformatics, or related field with exposure to biology.

• 1 – 3 years’ experience in data science.

• Strong understanding of biology and pathology, with the ability to build statistical and machine learning solutions.

• Proficient in at least one general-purpose programming language (e.g., Python, Java, C++); Python preferred.

• Experience working in Linux environments and using version control tools such as Git.

• Ability to work with both relational (SQL) and non-relational (NoSQL) databases.

• Practical experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow, Keras, OpenCV).

• Hands-on experience with tasks such as classification, segmentation, and object detection.

• Strong written and verbal communication skills.

• Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.

Preferred Qualifications

• Experience working with medical imaging data, particularly histopathology images from whole slide scanners.

• Background in cancer research or oncology-focused AI applications.

• Prior work integrating imaging, molecular, and clinical datasets in multimodal modeling.

• Experience with cloud computing environments (e.g., AWS, Azure, GCP) and distributed training workflows.

• Experience developing or fine-tuning foundation models for medical or pathology use.

Physical Demands

• This position requires working at a computer for extended periods, with some time collaborating with subject matter experts and business leaders in person or via 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.

• 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.