Tempus
CRC Postdoctoral Research Fellow
Tempus, Chicago, Illinois, United States, 60290
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 colorectal cancer (CRC) 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 CRC 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 Fight Colorectal Cancer (Fight CRC), created the Fight CRC Postdoctoral Fellowship in Colorectal Cancer to encourage and further the careers of postdoctoral fellows who are conducting cutting-edge clinicogenomic cancer research, specifically in colorectal cancer. Embedded within Tempus as an onsite researcher, the postdoctoral fellow will have direct access to over 150k 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
#J-18808-Ljbffr
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 colorectal cancer (CRC) 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 CRC 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 Fight Colorectal Cancer (Fight CRC), created the Fight CRC Postdoctoral Fellowship in Colorectal Cancer to encourage and further the careers of postdoctoral fellows who are conducting cutting-edge clinicogenomic cancer research, specifically in colorectal cancer. Embedded within Tempus as an onsite researcher, the postdoctoral fellow will have direct access to over 150k 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
#J-18808-Ljbffr