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    KCA Postdoctoral Fellow - Boston, United States - Tempus AI

    Tempus AI
    Tempus AI Boston, United States

    5 days ago

    Default job background
    Full time
    Description

    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.

    We are looking for an exceptional postdoctoral fellow to study and advance precision oncology in kidney cancer using one of the world's largest clinicogenomic databases. The successful candidate will apply computational methods to real-world patient data, comprising genomic, transcriptomic, histopathological, and/or clinical data, to improve our understanding of kidney cancer and advance the application of precision medicine to improve patient outcomes. The successful candidate will join a dynamic and collaborative computational biology group, and develop independent research projects tackling challenging problems in genomic-guided medicine.

    Tempus, in partnership with the Kidney Cancer Association (KCA), created the KCA Postdoctoral Fellowship to encourage and further the careers of postdoctoral fellows who are conducting cutting-edge clinical and genomic cancer research. Embedded within Tempus as an onsite researcher, the postdoctoral fellow will have direct access to over 200k de-identified samples with genomic and clinical data, a large organoid repository with genomic and pharmacological screening data, a huge computational environment, and mentorship and collaboration from clinicians, molecular biologists, and data scientists.

    Duration: 2-3 years

    Requirements:

    • PhD in Computational Biology, Bioinformatics, or related field OR PhD and/or MD with extensive experience in clinical & translational cancer research
    • Demonstrated record of innovative scientific accomplishments as evidenced by at least one first-author or co-first-author key paper in a top journal
    • Demonstrated ability to design and execute studies bridging molecular and clinical cancer data
    • Enjoy working in a collaborative environment across departments
    • Excellent communication and organizational skills
    • Proficient in R, Python, or other analytical programming language OR desire to acquire analytical skills and link with clinical/translational domain knowledge

    About Tempus

    Tempus is a healthcare technology company at the forefront of the expansion of multi-modal healthcare data and the application of artificial intelligence (AI) to fundamentally change cancer care. Tempus' proprietary platform connects an entire ecosystem of real-world data to deliver real-time, actionable insights enabling physicians to drive better outcomes through precise, individualized care. Our data accelerates the pace of innovation, empowering researchers to characterize disease, discover new opportunities, maximize clinical trial success, and ensure new therapies reach the right patients.

    About the Kidney Cancer Association

    The Kidney Cancer Association is a global community dedicated to serving and empowering patients and caregivers, and leading change through advocacy, research, and education in order to be the universal leader in finding the cure for kidney cancer. Founded in 1990 by Eugene P. Schonfeld and a small group of patients and doctors in Chicago, Illinois, the KCA has grown into an international non-profit organization based in Houston, Texas. The KCA promotes scientific advances through two annual research symposiums and a robust grant program, participates in legislative advocacy, and seeks to be a source of education and resources for patients, caregivers, and anyone impacted by kidney cancer.


    #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.

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