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About the Role
Tempus is advancing the healthcare industry through precision medicine by leveraging its proprietary platform that connects real-world evidence to deliver actionable insights to physicians, guiding them on the right treatments for the right patients at the right time.
Responsibilities
- Partner with pharma clients to design, develop, and execute computational research using the Tempus platform to advance drug R&D programs.
- Become an expert in Tempus multimodal clinical and genomic data.
- Analyze and integrate large, diverse clinical and molecular datasets to extract insights and drive new research opportunities.
- Lead scientific and technical interactions with clients to co-architect solutions and projects.
- Become an expert in current and prospective clients’ strategies, pipelines, and portfolios to identify where the Tempus platform can add value and collaborate with sales teams to realize that value.
- Collaborate with Research, Engineering & Data Science teams to develop and deliver innovative computational solutions.
- Drive continual improvement of the Tempus platform by communicating client feedback, staying ahead of research and industry trends, championing opportunities for new markets, and influencing leadership and global account strategy teams.
- Work with Product and Engineering teams to streamline the workflow of computational analyses.
- Document, summarize, and communicate highly technical results and methods clearly to non-technical audiences.
- Author whitepapers and peer-reviewed manuscripts illustrating the value of multimodal analysis and AI in drug discovery.
Requirements
- Comfort in a client-facing role.
- Proficient in R or Python.
- Strong understanding of the molecular nature of human disease.
- Expert in delivering actionable insight from transcriptomic data sets.
- Experience with Clinical Trial Data and/or Real World Evidence.
- Experience with integrative methods to model multi-modal clinical and/or omics data.
- Experienced in SQL.
- Thrive in a fast-paced environment and willing to shift priorities seamlessly.
- Experience in drug R&D.
- Experience in oncology.
- Experience in immunology.
- Experience in single cell or spatial transcriptomics.
- Experience in mechanistic modeling and inference.
- Experience with knowledge and graph-based AI techniques.
Skills
- R
- Python
- SQL
- Computational Biology
- Biostatistics/Statistical Genetics
- Bioinformatics
- Biomedical Informatics
- Biometrics
- Data Science for Health
- Human Disease
- Genetics/Genomics
- Molecular Biology
- Immunology
- Transcriptomic data analysis
- Clinical Trial Data analysis
- Real World Evidence analysis
- Multi-modal data modeling
- Omics data modeling
- Drug R&D
- Oncology
- Immunology
- Single cell transcriptomics
- Spatial transcriptomics
- Mechanistic modeling
- Knowledge-based AI
- Graph-based AI
Location
- CHI
- NYC
- SF
Work Type
- Full-time
Experience Level
- Masters or Ph.D. level combining quantitative and/or computational skills
- Masters or Ph.D. level combining biological or medical knowledge
Education Level
- Masters or Ph.D.
Salary/Compensations
- CHI: $100,000-$160,000
- NYC/SF: $115,000-$175,000
- The expected salary range may vary for other locations. Actual salary may vary based on qualifications and experience.
Benefits
- Incentive compensation
- Restricted stock units
- Medical and other benefits depending on the position.
About the Company
- 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.
Equal Opportunity
- 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.