Responsibilities:
Partner with our pharma clients to design, develop and execute computational research leveraging 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 clients27 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 our 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
Qualifications:
Education to Masters or Ph.D. level combining
quantitative and/or computational skills, e.g., Computational Biology, Biostatistics/Statistical Genetics, Bioinformatics, Biomedical Informatics, Biometrics, Data Science for Health, or similar.
biological or medical knowledge, e.g. Human Disease, Genetics/Genomics, Molecular Biology, or Immunology
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 any of the following will also be beneficial: drug R&D; oncology; immunology; single cell or spatial transcriptomics; mechanistic modeling and inference; knowledge and graph-based AI techniques
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. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
