Demo

Lead AI Engineer

Alldus
San Mateo, CA Full Time
POSTED ON 2/27/2025
AVAILABLE BEFORE 5/22/2025

Our client is revolutionizing digital patient engagement by empowering individuals throughout their healthcare journey, both within and beyond hospital walls. They are dedicated to enhancing patient outcomes and minimizing healthcare costs through cutting-edge AI-driven solutions. As they embark on an exciting growth and transformation phase, they are seeking a talented and experienced Data Scientist to help shape the company’s future.

We are looking for a highly skilled Data Scientist with extensive LLM expertise to develop innovative predictive models and generative AI applications, ultimately transforming the healthcare consumer experience and improving health outcomes. The ideal candidate will be enthusiastic about leveraging data to create a positive influence in healthcare, ready to tackle complex challenges, and proficient in managing and interpreting large datasets.

This position offers the chance to :

  • Make a Meaningful Impact : Your work will directly affect the lives of millions, influencing the future of digital healthcare engagement and hospital operations.
  • Drive Innovation : Our AI-first approach, combined with a purpose-driven culture, encourages innovative ideas that deliver substantial value for both patients and healthcare providers.
  • Collaborate with Experts : Partner with a diverse, cross-functional team of dedicated professionals committed to building next-generation patient engagement solutions.
  • Advance Your Career : We prioritize continuous learning and professional development to help you stay at the forefront of your field.
  • Receive Competitive Compensation : We provide an attractive remuneration package, which includes comprehensive benefits for full-time employees, along with competitive rates for contractors.

Key Responsibilities :

  • Identify business needs and objectives to design ML models and generative AI applications that yield effective results in patient engagement and workflow automation.
  • Collaborate with stakeholders and cross-functional teams to determine data requirements for patient activation and workflow efficiency projects.
  • Integrate, normalize, and analyze large datasets to extract valuable insights that enhance patient experiences and improve health outcomes.
  • Utilize machine learning and statistical methods to develop high-performing predictive models aimed at improving patient outcomes.
  • Communicate complex quantitative analyses clearly and effectively to both technical and non-technical audiences.
  • Qualifications :

  • A Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field is preferred, but candidates with a Bachelor's degree and significant relevant experience are also encouraged to apply.
  • 7 years of experience in designing and implementing ML, deep learning, NLP, and generative AI solutions in real-world applications, particularly within healthcare.
  • Strong proficiency with data science tools, ML frameworks, and programming languages such as Python, R, SQL, as well as experience with cloud platforms like AWS and / or Azure.
  • Solid understanding of machine learning and statistical modeling principles.
  • Experience in the healthcare sector, specifically developing applications for patients and / or clinicians (e.g., patient engagement, digital health, or care orchestration) is highly valued.
  • Exceptional communication and problem-solving abilities, with the capacity to work autonomously.
  • A proactive mindset and eagerness to embrace challenges in a fast-paced environment.
  • We look forward to receiving your application!

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