Data Analyst

Commercial Feasibility Analytics

Confirmed live in the last 24 hours

Locations

Chicago, IL, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Data Analysis

SQL

Python

Excel/Numbers/Sheets

Requirements

1+ years of relevant work experience, preferably in an analytical or consulting role within or in support of the Life Sciences or Healthcare industry
Experienced in SQL and Proficient in R and/or Python
Experience using Excel, Google Sheets, or equivalent spreadsheet software
Strong interest in oncology, cancer genomics, molecular biology and/or clinical trials
Experience building client-ready deliverables and other outputs
Experience working with unstructured data and translating raw data into practical insights
Experience with data manipulation and cleaning
Strong communication skills
Ability to take ownership of deliverables, navigate ambiguity and juggle multiple projects simultaneously
Goal orientated, self motivated, and driven to make a positive impact in healthcare
Thrive in a fast-paced environment and willing to shift priorities seamlessly

Responsibilities

Support partnership development between Tempus and the Life Sciences industry by identifying patient cohorts for Tempus' oncology data licensing business
Partner with Tempus' Pharma Business Development and Life Sciences Strategy & Operations teams to generate fit-for-purpose cohorts supporting pharma research
Support monitoring of the volume and profiles of inbound requests in order to generate insights into customer needs
Support code maintenance and documentation

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus’ proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Our data accelerates the pace of innovation, empowering researchers to characterize disease, discover new opportunities, maximize clinical trial success, and ensure new therapies reach the right patients. As a Tempus employee you will have access to the world’s largest real-world patient clinical data set linked to transcriptomics and digital pathology.

What you’ll do:

Support partnership development between Tempus and the Life Sciences industry by identifying patient cohorts for Tempus’ oncology data licensing business
Partner with Tempus’ Pharma Business Development and Life Sciences Strategy & Operations teams to generate fit-for-purpose cohorts supporting pharma research
Support monitoring of the volume and profiles of inbound requests in order to generate insights into customer needs
Support code maintenance and documentation

Qualifications:

1+ years of relevant work experience, preferably in an analytical or consulting role within or in support of the Life Sciences or Healthcare industry
Experienced in SQL and Proficient in R and/or Python
Experience using Excel, Google Sheets, or equivalent spreadsheet software
Strong interest in oncology, cancer genomics, molecular biology and/or clinical trials
Experience building client-ready deliverables and other outputs
Experience working with unstructured data and translating raw data into practical insights
Experience with data manipulation and cleaning
Strong communication skills
Ability to take ownership of deliverables, navigate ambiguity and juggle multiple projects simultaneously
Goal orientated, self motivated, and driven to make a positive impact in healthcare
Thrive in a fast-paced environment and willing to shift priorities seamlessly

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We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

1,001-5,000 employees

Website

Data-driven precision medicine

Company Overview

Tempus is on a mission to provide the necessary tools to usher in an era of precision medicine. The company has built the world's largest library of clinical and molecular data and an operating system to make that information accessible and useful for patients, physicians, and researchers.