Job Description

Work Experience

Job Responsibilities

Lead company efforts toward GenAI text to structure, structure to standard medical codes. Focus on hallucination reduction, anchored responses, trustworthiness. Leverage AI techniques and solutions to solve healthcare problems in clinical informatics. Gain thorough understanding of solution requirements: clinical problem, input data, output, ground truth, accuracy/evaluation metric, speed, etc. Inventory publically available data sets and/or acquire in-house data sets. Develop data pipelines to acquire, cleanse, and prepare healthcare data for AI. Study state of the art and other competitive exisiting solutions and select canditates for benchmarks and integration. Identify and communicate opportunities for potential improvements above SOTA. Run statistical evaluations and perform sensitivity analysis. Communicate findings in reports and presentations. Containerize solution and document solution for sharing with team.

Desired profile

PhD / Master's degree (+ 1-3 years professional experience) / Bachelor's (+ 3-5 years professional experience) in computer science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college Have 3 - 5 years of experience in analyzing large volumes of healthcare data and building predictive models. Strong hands-on knowledge of python, pytorch, huggingface, pandas, numpy, pyplot, scikit-learn. Strong experience on the fundamentals of NLP, various linguistic data extraction and modelling techniques, with a strong focus on LLMs and Gen AI based modelling. Understands the core concepts of AI tools and technologies, general best practices, and the math behind it. Proficient in git, docker. Ability to work closely with Domain experts to develop tools/algorithms needed to answer research questions in their studies. Excellent Communication Skills (with the ability to explain developed tools and ML algorithms to a non-technical audience) Ability to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area. Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems. Strong analytical, inferential, critical thinking, and creative problem-solving skills. ability to work both independently and with a team.

Preferred Qualifications:

Expert in GenAI grounding, reducing hallucinations, anchored responses, trustworthiness. Expert software development skills including developing and maintaining good production quality code. * Experience with in-context learning, retrieval augmented generation, generative AI agents.