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Senior Data Scientist - GenAI

$119,500 - $179,500/Yr

University of Texas M.D. Anderson - Houston, TX

posted 11 days ago

Full-time - Senior
Houston, TX
Hospitals

About the position

The University of Texas MD Anderson Cancer Center is seeking a Senior Data Scientist to support the research and development of generative AI models for healthcare applications. The chosen candidate will be instrumental in developing and validating state of the art machine learning technologies generative AI, tailored for enterprise-level use cases. This role requires deep expertise in algorithm architectures, strong machine learning approaches, and rigorous scientific methodology to develop impactful foundation and generative AI models. The position involves collaboration with clinical and business operation experts to gather requirements and ensure AI solutions are effectively validated. The Senior Data Scientist will work closely with a team of data scientists and machine learning engineers to ensure seamless deployment, real-world validation, and overall maintenance of ML models in a production environment. Additionally, the role includes nurturing team dynamics, fostering a culture of innovation, and developing thought leadership through presentations and publications.

Responsibilities

  • Innovate and develop state-of-the-art machine learning technologies, focusing on generative AI and multimodal models for complex healthcare applications.
  • Research and develop foundational AI models, concentrating on imaging, text, structural data, time-series, and various healthcare-related data types.
  • Work closely with clinical experts, business stakeholders, data scientists, and machine learning engineers to gather requirements, deploy, and maintain foundation and generative AI models in production environments.
  • Engage with academic data scientists and clinical researchers to explore novel AI approaches and use-cases, facilitating the transition from research algorithms to practical healthcare solutions.
  • Document and manage detailed records of model development, maintain rigorous testing and validation protocols, and ensure AI solutions are aligned with regulatory standards and ethical guidelines.
  • Support fostering a culture of innovation, continuous learning, and responsible AI development. Develop thought leadership through presentations, publications, patents, and participation in the tech community.

Requirements

  • Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
  • Five years of experience in scientific software or industry programming with a concentration in scientific computing. With Master's degree, three years experience required. With PhD, one year of experience required.
  • Hands-on experience and in-depth understanding of machine learning algorithms and modeling.
  • Experience developing foundational and/or generative AI models.
  • Proficient in developing, evaluating, deploying AI/ML algorithms.
  • Strong proficiency in Python and either C++ or C#, with practical knowledge of TensorFlow, PyTorch, and Scikit-learn.

Nice-to-haves

  • Doctorate (Academic) preferred.
  • Two years of academic or industry experience developing foundation and/or generative AI models.
  • Publications as first author on GenAI models, including Foundational models and/or LLMs.

Benefits

  • Referral Bonus Available
  • Relocation Assistance Available
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