Lead Data Scientist - Healthcare Analytics

Henry Ford Health; Detroit (MI); On-site; USD 140,000 - 190,000; Full time

Job summary

Henry Ford Health in Detroit is seeking a Lead Data Scientist, Healthcare Analytics to partner with system leaders and analysts to define data science solutions for complex healthcare questions. You will architect data-driven solutions and guide a team to implement them across operations.

You will translate analytics into actionable outcomes using Python, R, SQL, and visualization tools within an agile environment, driving impact for patient care and operational efficiency.

Qualifications

• Undergraduate degree in statistics, mathematics, econometrics, OR public health or related field; MS/PhD preferred.
• Five+ years of professional data science experience.
• 3+ years in predictive/forecasting/optimization with tools like Python, R or SAS.
• 2+ years of quantitative healthcare data analyses in US healthcare.
• Experience with cloud Big Data Stack for data gathering and modelling preferred.
• Advanced SQL with SQL Server/Oracle; strong ML and predictive modelling skills.
• Experience with data visualization tools (Power BI, R Shiny, ggplot, etc.).
• Strong communication and storytelling skills.

Responsibilities

• Lead the design and delivery of data science solutions for healthcare analytics.
• Collaborate with stakeholders to understand needs and translate into analytical products.
• mentor junior data scientists and ensure project delivery in Agile environment.
• Present findings to system leaders in a clear, compelling way.

Skills

Python

R

SAS

SQL

Machine Learning

Data Visualization

Power BI

R Shiny

ggplot

Flask

D3

Cloud

Communication

Agile

Education

BS in Statistics/Mathematics/Econometrics/Operations Research/Public Health/ Epidemiology or related field

MS or PhD preferred

Tools

Power BI

R Shiny

ggplot

Alteryx

Flask

D3

SAS

Job description

Henry Ford Health in Detroit is seeking a Lead Data Scientist, Healthcare Analytics to partner with system leaders and analysts to define data science solutions for complex healthcare questions. You will architect data-driven solutions and guide a team to implement them across operations.

You will translate analytics into actionable outcomes using Python, R, SQL, and visualization tools within an agile environment, driving impact for patient care and operational efficiency.