Boston, United States
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.
We are seeking an experienced scientist to lead Computational Discovery Science at Tempus. This scientist will be responsible for building a team and platform focused on identifying novel targets for cancer therapeutics. This role will be at the forefront of developing and applying computational methods for drug discovery using Tempus’ large clinico-genomic database, as well as functional and molecular assays - single cell, spatial, and functional genomics - applied to patient-derived organoids. This role demands a blend of creative and strategic thinking, leadership skills, and a passion for groundbreaking research.
The ideal candidate will be an expert in computational biology and high-dimensional genomic modeling, with a track-record in (or with) biopharma developing and applying systems biological approaches to identify druggable targets in solid tumors. The candidate must be experienced in designing functional genomic experiments, as well as utilizing existing public data sources, to infer cancer dependencies and prioritize therapeutic targets. Moreover, the candidate will have familiarity with the use of patient-derived organoid models, which may be used for target identification and validation, biomarker discovery, and identifying a drug’s mechanism of action (MOA) or preclinical proof-of-concept (POC).
This position is a hybrid senior analyst and leadership role. Contributions to data processing, analyses, and interpretation are expected, alongside overseeing a team of scientists and engaging with science leaders at biopharma partners for strategic and scientific planning.
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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.
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