What are the responsibilities and job description for the Senior Data Analyst position at Tempus?
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
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