Hiring: Sr Scientist II, Computational Discovery Science Company: Tempus AI Location: New York, NY Job Posted Time: 2026-09-10 10:20:56 Employment Type: Remote Target Skills & Keywords : AWS, Docker, Git, Jupyter, Jupyter Notebook, LLM, Machine Learning, NumPy, Pandas, Python, R, SQL, SciPy, scikit-learn About the job Experience: •4+ years of work experience leveraging genomic and multimodal data with machine learning approaches to address questions in complex diseases, especially cancer. Required Skills: •Utilize novel analytical methods applied to multi-modal data—such as genomic, imaging, and clinical data—to identify targets in patient sub-populations. •Leverage multimodal data to compress complex data into joint embeddings, enabling robust clustering of patients and the identification of novel molecular subtypes. •Utilize the LLM-orchestrated Tempus Loop Agent architecture to autonomously prioritize •In partnership with Tempus’ modeling lab, use data from CRISPR and cell perturbation experiments in patient-derived organoids to identify and validate novel targets. •Leadership & Independent Contribution •Independently execute complex translational or real-world evidence research projects integrating molecular and clinical data from the Tempus multimodal data platform. •Work closely with cross-functional teams across R&D and the broader Tempus organization, including product engineering, clinical genomics labs, data science, and medical teams. •Communicate scientific and technical plans and outcomes to a cross-functional group of project and senior leadership stakeholders, both internal and external partners. Qualifications: •Technical/Scientific Skills: Proficient in R, Python, and SQL. Strong understanding of Cancer, Genomics, and/or Immunology. Extensive prior experience analyzing genomic data and running statistical/machine learning models . •Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences. •Leadership Skills: Multidisciplinary project team leadership experience and a demonstrated ability to lead complex projects. •Operational familiarity with the use of patient-derived organoid (PDO) models for target identification and validation, biomarker discovery, and identifying a drug’s mechanism of action (MOA) or preclinical proof-of-concept (POC). •Proficient in computational biology packages and environments including Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, tidyverse, ggplot, Git, Docker, and AWS. •Comfort in a client-facing role with prior consulting and/or client-facing experience. •Demonstrated capacity to thrive in a fast-paced environment and willingness to shift priorities seamlessly. •Additionally, for remote roles open to individuals in unincorporated Los Angeles Compensation: •$145,000 - $190,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!