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Data Scientist - Computer Vision

Caris Life Sciences

Salary not specified
Sep 19, 2025
Irving, TX, US
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Caris Life Sciences is seeking to improve the human condition across multiple diseases, including cancer, by developing computer vision-based machine learning algorithms and analytic pipelines to support translational research.

Requirements

  • 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.
  • 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.

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.

Other

  • Strong written and verbal communication skills.
  • Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.
  • Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check (applicable for certain positions) and reference verification.
  • Job may require after-hours response to emergency issues.
  • This position may require periodic travel and some evenings, weekends and/or holidays.