Sr Scientist II, Computational Discovery Science

Tempus AI, Inc.; Redwood City (CA); On-site; USD 145,000 - 190,000; Full time

Job summary

Tempus AI, Inc. seeks a PhD-level scientist to lead translational research using multimodal data to identify novel cancer targets.

You will integrate genomic, imaging, and clinical data to drive target discovery and validation within Tempus’ real-world data platforms. Working with cross-functional teams across R&D, product engineering, and medical teams, you will communicate complex findings to leadership and external partners, and contribute to abstracts, posters, and peer-reviewed publications

Qualifications

• PhD in a quantitative discipline or Life Sciences with a strong computational publication record.
• 4+ years applying genomic and multimodal data with machine learning approaches to complex diseases, esp. cancer.
• Proficient in R, Python, and SQL; strong understanding of Cancer Genomics/Immunology.
• Excellent written and verbal communication with ability to present to diverse audiences.
• Multidisciplinary project leadership experience.

Responsibilities

• Identify targets in patient sub-populations using multimodal genomic, imaging, and clinical data.
• Apply in silico methods to Tempus RWD to identify molecular patterns in patient populations.
• Leverage multimodal data to compress data into joint embeddings and cluster patients.
• Collaborate with Tempus modeling lab and cross-functional teams across R&D and product.
• Communicate scientific plans and outcomes to leadership and external partners.
• Publish abstracts, posters, and peer-reviewed papers on multimodal AI in drug discovery.

Skills

Genomics

Immunology

R

Python

SQL

Machine learning

Communication

Leadership

Cancer biology

Education

PhD in a quantitative discipline or Life Sciences

Tools

Pandas

NumPy

SciPy

Scikit-learn

Jupyter Notebooks

RStudio

tidyverse

ggplot

Git

Docker

AWS

R package

Job description

Responsibilities

• Utilize novel analytical methods applied to multi-modal data—such as genomic, imaging, and clinical data to identify targets in patient sub-populations.
• Apply in silico methodologies to Tempus Real-World Data (RWD) to identify molecular, biological, and clinical patterns associated with specific patient 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.
• 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.
• Present scientific findings clearly and meaningfully to diverse sets of external stakeholders and non-technical audiences.
• Author abstracts, posters, and peer-reviewed publications to illustrate the value of multimodal analysis and AI in drug discovery.

Qualifications

• Education: PhD in a quantitative discipline (e.g., Bioinformatics, Computational Biology, Data Science) or Life Sciences with a strong computational publication record.
• Experience: PhD with 4+ years of work experience leveraging genomic and multimodal data with machine learning approaches to address questions in complex diseases, especially cancer.
• 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.

Preferred Qualifications

• 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).
• Experience with early-stage drug development, including target discovery and biomarker identification.
• Experience analyzing single-cell RNA sequencing and spatial transcriptomics.
• Proficient in computational biology packages and environments including Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, tidyverse, ggplot, Git, Docker, and AWS.
• Experience with R package development.
• Comfort in a client-facing role with prior consulting and/or client-facing experience.
• Ability to thrive in a fast-paced environment and willingness to shift priorities seamlessly.

NYC/SF: $145,000-$190,000 USD

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). 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.

Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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.

Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics. We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives.

We’re looking for people who can change the world. Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.