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.
The Senior Scientist II, Computational Biology PharmaR&D will execute analytical projects and capability builds to advance the Tempus drug R&D platform. This role involves performing complex computational analyses and developing algorithms for advancing cancer precision medicine for patients across the Tempus network. The ideal candidate will possess strong genomic analytical skills, experience in applying machine learning and statistical models to big data, and the ability to communicate complex findings to various stakeholders.
Description
- Innovation: Drive continual improvement of the Tempus platform by integrating client feedback, staying ahead of research and industry trends, and championing new opportunities.
- Collaboration: Work with Research, Engineering & Data Science teams across Tempus’ expansive data science community to develop and deliver innovative computational solutions.
- Drug R&D: Partner with big pharma clients. Become proficient in the clients’ strategies, drug modalities and pipeline to identify where the Tempus platform can add value. Co-architect solutions with client science/clinical teams, and design, develop and execute computational research leveraging the Tempus platform to advance their drug R&D programs.
- Independent Contribution: Independently execute complex translational research projects integrating molecular and clinical data from Tempus’ multimodal data platform to extract insights and drive new research opportunities, including new target discovery.
- Develop Expertise: Become an expert in Tempus’ epidemiological, clinical, ‘omic and imaging data, and the latest tools and techniques to interrogate these.
- Continuous Improvement: Stay current with industry trends, best practices, and advancements in computational biology for drug R&D.
- Scientific Communication: Expert in navigating client interactions; Present highly technical results and methods clearly and meaningfully to diverse sets of external stakeholders
Qualifications
- Education and experience:
- Either
- PhD and additional 2+ years of working experience
- Masters and additional 4+ years of working experience
- Combining:
- Quantitative and computational skills (e.g. Computational Biology, Biostatistics/Statistical Genetics, Machine Learning, or Bioinformatics).
- Biological or medical knowledge (e.g. Oncology, Immunology, or Human Disease).
- Genomics and transcriptomics.
- Target, drug or diagnostic discovery, or clinical development.
- Technical/Scientific Skills:
- Proficient in R, Python, and SQL, and respective packages for computational biology.
- Strong understanding of cancer biology.
- Applicable knowledge of machine learning and statistical modeling.
- Expertise in one of the following: in vitro data analysis and phenomics, network and systems biology, mechanistic modeling and simulation, knowledge analytics, deconvolution and causal inference, integrative analysis of multi-modal data, real-world evidence, and survival analysis.
- Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences. Comfort in a client-facing role
- Motivated: Thrive in a fast-paced environment and willing to shift priorities seamlessly.
Preferred Skillsets/Background
- Strong peer-reviewed publication record.
- Strong understanding of molecular data and artificial intelligence in drug discovery with experience in integrative modeling of multi-modal clinical and omics data.
- Previous experience working with large transcriptome and NGS data sets.
- Thrive in a fast-paced environment and willing to shift priorities seamlessly.
- Experience with R package development.
- Goal orientation, self-motivation, and drive to make a positive impact in healthcare.
#LI-GL1
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.
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.
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What the Team is Saying
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.
