Data Scientist, One Medical - Clinical Effectiveness

One Medical; San Francisco (CA); On-site; USD 90,000 - 140,000; Full time

Job summary

An innovative healthcare organization is seeking a Senior Data Scientist to enhance clinical effectiveness and patient safety. In this pivotal role, you will leverage your expertise in data science to collaborate with clinical leaders, execute impactful analyses, and develop AI-driven solutions. Your contributions will directly influence patient care and operational efficiency, making a significant difference in healthcare outcomes. If you're a self-motivated problem solver with a passion for data and healthcare, this is a fantastic opportunity to join a forward-thinking team dedicated to improving lives.

Qualifications

• 2+ years of experience as a data scientist.
• 3+ years of experience with SQL and Python.

Responsibilities

• Plan and execute statistical analyses on clinical effectiveness.
• Design and develop data pipelines using generative AI models.

Skills

Data Science

Statistical Analysis

SQL

Python

Machine Learning

Healthcare Data

Education

Master's degree in a quantitative field

Bachelor's degree in a related field

Tools

Snowflake

MLFlow

Sagemaker

AWS

Job description

Data Scientist, One Medical - Clinical Effectiveness

Join to apply for the Data Scientist, One Medical - Clinical Effectiveness role at One Medical.

The mission of One Medical's Clinical Effectiveness team is to deliver standard-setting health outcomes for our patients while reducing total cost of care.

We are looking for a Senior Data Scientist with a proven track record of delivering impactful Data Science solutions independently, working closely with both technical and non-technical stakeholders.

You will collaborate with clinical and cross-functional leaders to understand, define, and solve problems in areas such as patient safety, value-based care, cardiometabolic health, mental health, population health, and clinical-operational efficiency.

If you are a self-driven problem solver, we would love to hear from you!

Key job responsibilities

• Work cross-functionally with clinical leaders to plan and execute statistical analyses assessing the impact of clinical effectiveness, patient safety, and care quality initiatives.
• Communicate analytical results and methods to both technical and non-technical stakeholders.
• Collaborate with other Data Scientists to define requirements, success metrics, and deliver AI/ML-based solutions.
• Contribute to the continuous improvement of team processes and tools.

A day in the life

• Own clinical effectiveness statistical analyses, including stakeholder management.
• Design and develop data pipelines leveraging generative AI models (LLMs).
• Write complex queries on large healthcare datasets.
• Participate in code reviews and design discussions.
• Provide input on the team's roadmap and technology strategy.

Basic Qualifications

• 2+ years of experience as a data scientist.
• 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical software (e.g., R, SAS).
• 3+ years of experience with machine learning/statistical modeling tools and techniques.
• Experience applying theoretical models in practical environments.
• Experience working with healthcare data.

Preferred Qualifications

• Master's degree or higher in a quantitative field such as statistics, mathematics, data science, or related fields.
• Expert proficiency in Python and SQL.
• Experience with cloud infrastructure like Snowflake, MLFlow, Sagemaker, and AWS services.
• Experience with LLM prompting techniques and evaluation.
• Background in patient safety, safety analysis, or reliability engineering.