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.
- Utilize novel analytical methods applied to multi-modal data - such as genomic (bulk, single cell, spatial), imaging, and clinical - to identify targets in patient sub-populations
- In partnership with Tempus’ modeling lab, use data from CRISPR and cell perturbation experiments in patient-derived organoids to identify and validate novel targets
- Develop and implement scientific strategies and experimental work plans, including identifying new methodologies and approaches for large clinicogenomic databases and PDOs
- Integrate the above to prioritize target opportunities matched to biomarker and indication strategies that enhance likelihood of developmental success.
- Mentor and project manage a team of junior scientists or technicians to deliver on the project goals and objectives
- Communicate the scientific and technical plans and outcomes to a cross-functional group of project and senior leadership stakeholders, both internal and at biopharma partners
- Work closely with other cross-functional teams across the R&D and broader Tempus organization (product engineering, operations, clinical genomics labs, medical, science, data science, etc) to integrate work plans and approaches
- Foster a collaborative and inclusive work environment, promoting interchange of expertise between Tempus and biopharma partner contributors, and driving creativity, innovation, and scientific excellence.
- PhD with 6+ years of work experience
- Education and experience must combine:
- Quantitative and computational skills (e.g. Computational Biology, Biostatistics/Statistical Genetics, Bioinformatics, Biomedical Informatics, Biometrics, or Data Science for Health)
- Biological or medical knowledge (e.g. Human Disease, Oncology, Genetics/Genomics, Molecular Biology, or Immunology)
- Multidisciplinary project team leadership experience
- Proficient in R or Python packages for computational biology
- Ability to deliver actionable insights from NGS, clinical, and/or real-world data sets
- Competency in statistical and mathematical techniques for biological data analysis
- Experience with early-stage drug development, including target discovery and biomarker identification
- Comfort in a client-facing role
#LI-GL1#LI-Hybrid#LI-Remote
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.
What We Do
Tempus is a technology company advancing precision medicine through the practical application of artificial intelligence in healthcare. With one of the world’s largest libraries of clinical and molecular data, and an operating system to make that data accessible and useful, Tempus enables physicians to make near real-time, data-driven decisions to deliver personalized patient care and in parallel facilitates discovery, development and delivery of optimal therapeutics. The goal is for each patient to benefit from the treatment of others who came before by providing physicians with tools that learn as the company gathers more data. For more information, visit tempus.com.
Why Work With Us
We're looking for those who challenge the status quo. For the builders who are never done building and the learners who are never done learning. We're looking for unwavering commitment and undying curiosity. We're looking for the smartest people on the planet to attack one of the most challenging problems mankind has ever faced.
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Tempus AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Most of the team follows a hybrid policy, with some roles allowing for a fully remote arrangement and some roles being onsite only.