Data Scientist III

Planet Pharma; North Chicago (IL); On-site; USD 100,000 - 125,000; Full time

Job summary

A leading company in the pharmaceutical sector is seeking a Data Scientist III for their RWE Analytics team. This role involves leading analytics efforts, executing complex data analyses, and translating business needs into project concepts. Candidates should possess advanced analytical skills and experience in relevant programming languages. Join us to make a significant impact using real-world data.

Qualifications

• 1-2 years’ experience in analytics programming, preferably in Python and machine learning.
• Ability to develop production code macros and solve problems independently.
• Experience in real-world evidence generation and analysis of large medical claims data.

Responsibilities

• Lead analytics efforts within assigned therapeutic areas.
• Design and execute analysis plans, in collaboration with medical and business teams.
• Present analysis results and insights to diverse audiences.

Skills

Analytical programming

Data analysis

Machine learning

Education

Master’s degree in Statistics

PhD in related field

Tools

SAS

SQL

R

Python

UNIX

Hadoop

Job description

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Job Description

Pay range: $45-79/hr depending on experience.

Position: RWE Data Scientist (contractor), V&E Real World Evidence Analytics.

Purpose: Responsible for designing, planning, and executing large-scale data analysis and algorithm development to identify gaps in care and measure impact using RWD. Acts as a technical subject matter expert on RWE analytics, managing analytical needs within assigned therapeutic areas, standardizing coding conventions, and communicating complex data insights effectively.

Responsibilities:

• Lead analytics efforts within assigned therapeutic areas.
• Present analysis results and insights to diverse audiences.
• Identify and utilize internal and external data resources.
• Design and execute analysis plans; collaborate with medical and business teams.
• Ensure timely delivery of projects within a complex matrix organization.
• Coordinate with medical engagement, HEOR, RWE CoE, and other teams regarding findings and quality control.
• Translate business needs into project concepts and data dictionaries.

Qualifications:

• Master’s degree in Statistics or related field required; PhD preferred.
• 1-2 years’ experience in analytics programming (SAS, SQL, R, Python); Python and machine learning experience preferred.
• Ability to develop production code macros and solve problems independently.
• Experience in real-world evidence generation and large medical claims data analysis.
• Healthcare training and UNIX/Hadoop experience are a plus.

The Planet Group of Companies is an equal opportunity employer committed to diversity and inclusion.