Tempus AI Inc.
Senior Data Analyst
Tempus AI Inc., Chicago, Illinois, United States, 60290
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, generate analytics in order to gain insights on customer needs, and propagate feedback throughout the organization
Maintain code, technical processes, and documentation
Support integration of new data sources into feasibility/team operations
Mentor and train team members
Qualifications:
3+ years of relevant work experience, preferably in an analytical or consulting role within or in support of the Life Sciences or Healthcare industry
Strong command of SQL and other scripting languages (R or Python)
Experience using Excel, Google Sheets, or equivalent spreadsheet software
Experience in oncology, cancer genomics, molecular biology and/or clinical trials, as demonstrated by focus area in school/university, a side project, or previous work experience
Experience building client-ready deliverables and other outputs
Comfortable working in a client-facing, fast-paced environment
Experience working with disorganized data from various sources and translating raw data into practical insights and recommendations
Experience with data manipulation, cleaning, and visualization
Excellent communication skills with demonstrated ability to communicate with diverse audiences
Ability to prioritize work independently, take ownership of deliverables, navigate ambiguity, shift priorities seamlessly, and juggle multiple projects simultaneously
Goal orientated, self motivated, and driven to make a positive impact in healthcare
Curiosity and willingness to learn skills to elevate the use of automation in commercial operations
Thrive in a fast-paced environment and willing to shift priorities seamlessly
#LI-SH1#LI-Hybrid#LI-Onsite#J-18808-Ljbffr
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, generate analytics in order to gain insights on customer needs, and propagate feedback throughout the organization
Maintain code, technical processes, and documentation
Support integration of new data sources into feasibility/team operations
Mentor and train team members
Qualifications:
3+ years of relevant work experience, preferably in an analytical or consulting role within or in support of the Life Sciences or Healthcare industry
Strong command of SQL and other scripting languages (R or Python)
Experience using Excel, Google Sheets, or equivalent spreadsheet software
Experience in oncology, cancer genomics, molecular biology and/or clinical trials, as demonstrated by focus area in school/university, a side project, or previous work experience
Experience building client-ready deliverables and other outputs
Comfortable working in a client-facing, fast-paced environment
Experience working with disorganized data from various sources and translating raw data into practical insights and recommendations
Experience with data manipulation, cleaning, and visualization
Excellent communication skills with demonstrated ability to communicate with diverse audiences
Ability to prioritize work independently, take ownership of deliverables, navigate ambiguity, shift priorities seamlessly, and juggle multiple projects simultaneously
Goal orientated, self motivated, and driven to make a positive impact in healthcare
Curiosity and willingness to learn skills to elevate the use of automation in commercial operations
Thrive in a fast-paced environment and willing to shift priorities seamlessly
#LI-SH1#LI-Hybrid#LI-Onsite#J-18808-Ljbffr