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.
Responsibilities:● Partner with our pharma clients to design, develop and execute computational research projects leveraging the Tempus platform to advance precision medicine research programs. ● Analyze and integrate large diverse clinical and molecular datasets to extract insights and drive new research opportunities. ● Stay ahead of research and industry trends in oncology drug development, and identify specific areas where the Tempus platform can establish new markets. ● Become an expert in our biopharma partners’ strategy, pipeline and portfolio to proactively determine all areas that the Tempus platform could add value to the drug development process of our partners. ● Develop and drive global account strategy in coordination with the account team. ● Document, summarize and communicate highly technical results and methods clearly to non-technical audiences. ● Work directly with clients to co-architect solutions and projects that leverage the Tempus platform to solve customers' challenges and maintain R&D relationships as the trusted technical advisor. ● Author whitepapers and illustrate the value of multimodal analysis and AI in drug discovery in coordination with our Research, Engineering & Data Science teams. ● Work with Product and Engineering teams to streamline workflow of computational analyze ● Contribute to the development of the portfolio by providing feedback to leadership regarding client responses and suggestions; maintain a solution-oriented mindset. ● Track progress against defined strategic objectives and goals; review progress/setbacks frequently wi broader Account Team and Tempus leadership. ● Travel approximately 25% of working time, domestically and internationally. Preferred Qualification ● PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology or similar). Alternatively, a PhD in Molecular Biology or Immunology combined with a very strong record of computational biology. ● Minimum 4+ years in drug development leveraging genomic and multimodal data for drug discovery and development . ● Strong understanding of molecular data and artificial intelligence in drug discovery with experience integrative modeling of multi-modal clinical and omics data. ● Proficient in R, Python, and SQ ● Previous experience working with large transcriptome data sets. ● Strong understanding of Cancer, Immunology, Clinical Trials and Real World Evidence Platforms . ● Prior consulting and/or client facing experience is highly desirable ● Thrive in a fast-paced environment and willing to shift priorities seamlessly.Preferred Experience:● Proven track record of developing solutions utilizing molecular and multimodal data. ● Demonstrated ability to influence without authority (both with internal and external stakeholders ● Proactive mindset that bridges ideas to implementable solutions, and can help move both internal and external stakeholders to quickly solve problems ● Experience with communicating insights and presenting concepts to diverse audiences. ● Strong peer-reviewed publication record. ● Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. ● Team player mindset and ability to work in an interdisciplinary team. ● Goal orientation, self motivation, and drive to make a positive impact in healthcare.CHI: $90,000-$135,000 NYC/SF: $100,000-$150,000
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.
Skills Required
- PhD in a quantitative discipline (e.g., Biostatistics, Bioinformatics, Computational Biology) or PhD in Molecular Biology/Immunology with strong computational record
- Minimum 4+ years in drug development leveraging genomic and multimodal data for drug discovery and development
- Strong understanding of molecular data and artificial intelligence in drug discovery, including integrative modeling of multimodal clinical and omics data
- Proficient in R, Python, and SQL
- Previous experience working with large transcriptome datasets
- Strong understanding of Cancer, Immunology, Clinical Trials and Real World Evidence platforms
- Prior consulting and/or client-facing experience
- Proven track record developing solutions using molecular and multimodal data and strong peer-reviewed publication record
- Experience communicating insights and presenting concepts to diverse audiences; ability to influence without authority
- Experience with tools and libraries such as Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, tidyverse, ggplot, Git, matplotlib, seaborn, Flask, Dask, Docker, AWS (listed as preferred)
- Willingness to work in a fast-paced environment and shift priorities seamlessly; team player and self-motivated
- Travel approximately 25% (domestic and international)
What the Team is Saying
What We Do
We bring together one of the world’s largest libraries of multimodal clinical and molecular data with a robust suite of AI tools to help physicians personalize care in real time, connect patients with therapies and clinical trials, and enable partners to accelerate discovery and development of new treatments. With ~8 million de-identified research records and 350+ petabytes of data, Tempus partners with more than half of U.S. oncologists and the majority of the top 20 global pharma companies. Our teams are pioneering work across oncology, neurology, psychiatry, cardiology, and beyond—transforming how care is delivered and therapies are developed. At Tempus, every role contributes to our mission: to help each patient benefit from the experiences of those who came before. For more information, visit tempus.com.
Why Work With Us
We’re looking for people who can change the world. People who question the status quo and refuse to shy away from tough problems. For builders who are never done building, and the learners who are never done learning. Passionate individuals with undying curiosity who want to take on one of the greatest challenges humanity has ever faced—head on.
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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.
