Clinical Analytics Data Scientist - Dashboards & Automation

Penfield Search Partners Ltd; Fairfield (CT); Remote; USD 120,000 - 180,000; Full time

Job summary

Penfield Search Partners Ltd is seeking a hands-on data science professional at the intersection of Data Science, Biostatistics, Statistical Programming, and Clinical Data Management. You will build practical solutions to improve access, analysis, visualization, and study efficiency.

The ideal candidate combines strong programming with clinical study understanding, helping automate processes and create reusable infrastructure across Biostatistics, Data Management, and Programming teams.

Qualifications

• Bachelor's or Master's in a quantitative field is required.
• Significant experience in Data Science, Statistical Programming, or clinical analytics.
• Advanced programming in R and SAS is essential.
• Strong Git and GitHub experience for collaboration.

Responsibilities

• Design and build dashboards and data visualizations for clinical data review.
• Develop reusable tools and automated workflows for cross-functional teams.
• Create automated quality checks and validation processes.
• Develop workflows for testing, deployment, and code review.
• Apply R and SAS to clinical data challenges, with Python when advantageous.
• Support interactive apps using R Shiny and data integration tasks.

Skills

R programming

SAS programming

Git & GitHub

Data visualization

Python

Shiny

Education

Bachelor's or Master's degree in a quantitative field

Tools

Git

GitHub Actions

R Shiny

SQL databases

Job description

Penfield Search Partners Ltd is seeking a hands-on data science professional at the intersection of Data Science, Biostatistics, Statistical Programming, and Clinical Data Management. You will build practical solutions to improve access, analysis, visualization, and study efficiency.

The ideal candidate combines strong programming with clinical study understanding, helping automate processes and create reusable infrastructure across Biostatistics, Data Management, and Programming teams.