What are the responsibilities and job description for the Senior Director, Biological Modeling position at Tempus?
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.
Recent technological advances make it possible for AI to impact clinical care. Tempus’ proprietary platform connects an entire ecosystem of real-world evidence to deliver actionable insights to physicians, providing critical information about the right treatments for the right patients at the right time. These insights are also experimentally evaluated in our state of the art Biological Modeling Laboratory to accelerate the development of new therapeutic options for patients. We are seeking a Senior Director to lead the growth of our laboratory team and to scale our operations and novel technology portfolio to further our precision oncology mission.
What You’ll Do:
- Lead a research team of high performing scientists and technicians to increase the throughput of our 3D organoid CRISPR-based target ID screening platform to genome-scale
- Oversee the development of new methodologies to scale organoid drug screening assays for high throughput evaluation of therapeutic response and mechanism
- Work with bioinformatics and translational research to streamline a process for generating clinically relevant insights from integrated evaluation of organoid screens and real world data (RWD) sets
- Drive strategic thinking to create a best-in-class lab-in-the-loop platform to drive the AI era of oncology target ID/validation
- Engage with commercial and academic strategic partners to create next-gen models representing current unmet needs and indications in oncology
- Collaborate with engineers, computational biologists, data scientists, and machine learning scientists on R&D initiatives both internally and with our strategic partners in pharma
Qualifications:
- PhD with 10 years laboratory experience and at least 5 years in industry
- More than five years of experience managing an industrial-scale research laboratory
- Demonstrated expertise with high throughput assay development, molecular profiling, and tool building
- Experience with initial laboratory automation builds, associated data pipeline builds, and upgrades
- Experience with both internal and external projects involving multidisciplinary teams or collaborations
Preferred Candidates will Possess:
- Track record of developing novel protocols, assays, and onboarding new screening technologies involving 3D cell culture or organoids
- Majority of industrial experience within a pharmaceutical drug discovery or development setting
- PhD in quantitative sciences or engineering
- Experience leading and managing teams
- Collaborative skills across organizational levels
- Strategic thinking
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