Lead Data Scientist, Generative AI in Healthcare (Remote)

Top Echelon LLC

Houston (TX)

Remote

USD 143,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

Visa Sponsorship
Travel up to 20%
Remote-friendly
Flexible shifts

Job summary

Top Echelon LLC is seeking a Lead Data Scientist to guide advanced data science initiatives in the healthcare sector, focusing on deploying Generative AI and LLMs in production.

The role leads cross-functional teams, oversees the ML lifecycle, mentors data scientists, and collaborates with senior stakeholders to ensure solutions meet healthcare regulations and deliver actionable insights.

Qualifications

  • Bachelor's Degree in Computer Science, Data Science, Statistics, or a related STEM field; Master's Degree preferred.
  • Seven years of experience in data science, with significant focus on healthcare data.
  • Proven experience deploying Generative AI/LLM solutions in production.

Responsibilities

  • Lead development and deployment of advanced ML models, with Generative AI and LLMs, ensuring their integration into production systems.
  • Oversee the entire data science project lifecycle, from model conception to deployment and continuous monitoring.
  • Provide technical leadership and mentorship to a team of data scientists, fostering innovation and excellence.
  • Collaborate with senior stakeholders to align data science projects with business objectives and healthcare regulations.
  • Evaluate and refine existing models to enhance predictive accuracy for healthcare datasets.
  • Communicate complex analytical findings to both technical and non-technical audiences.

Skills

Generative AI
LLMs
Data science
Healthcare data
Leadership
Machine learning
Statistics

Education

Bachelor's degree
Master's degree preferred

Job description

Top Echelon LLC is seeking a Lead Data Scientist to guide advanced data science initiatives in the healthcare sector, focusing on deploying Generative AI and LLMs in production.

The role leads cross-functional teams, oversees the ML lifecycle, mentors data scientists, and collaborates with senior stakeholders to ensure solutions meet healthcare regulations and deliver actionable insights.

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