Intern, Biostatistics
Revolution Medicines, Redwood City, CA, United States
Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins, and RAS Companion Inhibitors for use in combination treatment strategies. As a new member of the Revolution Medicines team, you will join other outstanding Revolutionaries in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.
The Opportunity: The Biostatistics summer intern will work for 8-12 weeks under the supervision of experienced Biostatisticians on theoretical or applied problems with direct relevance to on-going clinical drug development research in Oncology. During the internship, the student is expected to implement new methodological developments using SAS/R and conduct simulation studies as needed. At the end of the internship, the student is expected to give a department-wide presentation on their research topic and prepare a final written report.
Required Skills, Experience and Education:
Must have strong programming skills in SAS or R.
Must have a solid background on survival analysis.
Demonstrated problem-solving ability and strong oral and written communication skills.
Enrollment in a full-time graduate program and have completed at least two full years of graduate course work prior to the start of the internship.
Preferred Skills:
Familiarity with advanced statistical methods including ML, causal inference, Bayesian statistics, external control and observational studies. #LI-Hybrid #LI-AP1
#J-18808-Ljbffr
The Opportunity: The Biostatistics summer intern will work for 8-12 weeks under the supervision of experienced Biostatisticians on theoretical or applied problems with direct relevance to on-going clinical drug development research in Oncology. During the internship, the student is expected to implement new methodological developments using SAS/R and conduct simulation studies as needed. At the end of the internship, the student is expected to give a department-wide presentation on their research topic and prepare a final written report.
Required Skills, Experience and Education:
Must have strong programming skills in SAS or R.
Must have a solid background on survival analysis.
Demonstrated problem-solving ability and strong oral and written communication skills.
Enrollment in a full-time graduate program and have completed at least two full years of graduate course work prior to the start of the internship.
Preferred Skills:
Familiarity with advanced statistical methods including ML, causal inference, Bayesian statistics, external control and observational studies. #LI-Hybrid #LI-AP1
#J-18808-Ljbffr