Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with administrative leaders, healthcare professionals, researchers, and engineering teams.

• Analyze and interpret extensive clinical and operational data sets.

• Create machine learning pipelines, AI/LLM tools and agents, as well as conduct statistical analyses.

• Design and execute validation frameworks for AI and ML (including experiments, pilots, and metrics).

• Partner with engineering teams to transition solutions into production platforms and environments.

• Generate technical documentation and deliver presentations.

• Manage projects by independently breaking down requests into tasks and overseeing timelines.

• Conduct independent research on business and clinical challenges along with relevant data sets.

• Perform additional related duties as assigned or requested.

⛳️ Requirements

• Master’s degree with no prior experience; or a Bachelor’s degree with at least 3 years of experience.

• Familiarity with a healthcare setting and EHR data.

• Proficiency in one or more data science areas (such as time series, deep learning, LLM architectures, Natural Language Processing (NLP), causal inference, etc.).

• Knowledge of cloud services like Microsoft Azure and version control systems (Git).

• Experience with Generative AI and Large Language Models (LLMs), RAG, fine-tuning, embeddings, prompt engineering, and agentic workflows.

• Understanding of the data science/AI product lifecycle, including model training, testing, deployment, and monitoring.

• Awareness of the latest trends and advancements in Artificial Intelligence.

• Skilled in developing machine learning models for classification, regression, and clustering.

• Experience with relational databases and SQL queries.

• Proficient in Python and its machine learning libraries such as pandas, scikit-learn, PyTorch, etc.

• Experience in designing AI solutions, utilizing Python LLM frameworks like LangChain and LangGraph, and creating tools, skills, and/or subagents for AI frameworks.

• Knowledgeable in probability, statistics, and scientific computing.

• Ability to work autonomously and apply innovative problem-solving strategies.

• Capable of transforming questions into testable hypotheses, extracting data from complex databases, and developing and assessing statistical models.

• Experience in data visualization and the ability to convey results to a non-technical audience.

• Background in conducting independent research and development with minimal supervision.

• Experience as part of large, cross-functional teams involving multiple internal and external stakeholders.

• Familiarity with Agile project management frameworks and Jira is a plus.

🏝️ Benefits

• Comprehensive Benefits