Remote Senior ML/AI Researcher II (Healthcare)

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Description:

  • As a Senior AI Researcher II, you will develop ML and AI solutions that will improve health for millions of people.
  • You will collaborate with engineering and analytics teams to integrate AI technology into existing products and workflows.
  • This role involves working with one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions.
  • You will have the opportunity to train, fine-tune, and use AI models using medical data collected from millions of patients across the country.
  • Primary duties include building ML/AI models to identify patients who will benefit most from interventions, supporting value-based care strategies.
  • You will analyze large datasets to extract insights that improve patient outcomes and guide clinical decisions.
  • Delivering AI-driven Proof of Concepts (POCs) with a focus on speed, scalability, and efficiency is also part of your responsibilities.
  • You will ensure fairness and transparency in all models, promoting ethical AI use.
  • Staying updated on AI/ML advancements and applying them to healthcare innovations is essential.

Requirements:

  • A BA/BTech in Statistics, Data Science, Computer Science, or a related field is required.
  • You must have 6+ years of relevant statistical analysis experience.
  • A minimum of 6+ years of relevant machine learning experience, including ML modeling, hyperparameter tuning, feature engineering, and model validation, is required.
  • An understanding of causal inference and treatment effects estimation is necessary.
  • You should have 3-5 years of experience selecting, implementing, and optimizing ML tools and frameworks for large-scale projects.
  • At least 2+ years of experience with the Python programming language is required.
  • You must have 1+ years of relevant deep learning and LLM experience.
  • Experience working with large-scale distributed systems and statistical software (e.g., Spark) for at least 1+ years is necessary.
  • You should have experience addressing challenges from incomplete, unrepresentative, and mislabeled data.
  • Contributions to the field, such as publications, patents, or successful large-scale implementations, are required.

Benefits:

  • The position offers the opportunity to work remotely, providing flexibility in your work environment.
  • You will be part of a team that empowers primary care physicians with technology to improve patient health.
  • The role allows you to work with extensive medical data, contributing to meaningful healthcare innovations.
  • You will have the chance to collaborate with cross-functional teams, enhancing your professional network and skills.
  • The company promotes ethical AI use, ensuring that your work has a positive impact on healthcare outcomes.
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