Join to apply for the Temp Statistical Programmer role at Revolution Medicines
Join to apply for the Temp Statistical Programmer role at Revolution Medicines
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Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The companys 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:
This position will be responsible for statistical programming and verification of Clinical Trial Data to produce high quality deliverables in a fast-paced environment. This person needs to consistently meet study timelines, quality standards and requirements, and be required to work closely and communicate effectively with internal team members, Statisticians, and other functional group members to best serve the delivery need.
Required Skills, Experience and Education:
- Provide Statistical Programming support either in the form of production or verification of SAS scripts and outputs for Analysis Files, Tables, listings, Figures, and any other form of Clinical Trial in addition to writing analysis file specifications and other relevant documentation of deliverables and analysis methods.
- Ensure effective planning to meet quality and timely delivery of deliverables.
- Comply with project/study programming standards and specifications following internal guidelines.
- Ensure accuracy of clinical trial results for internal and external audiences (e.g., regulatory authorities, academic community, and healthcare providers) via biometrics QC of documents with clinical data.
- Programming support for relevant deliverables, such as Investigator Brochures, publications, US and ex-US regulatory submissions, including CDISC compliant datasets (SDTM, ADaM and data documentation, Reviewers Guide, TLFs, Statistical Analysis Plans (study specific, ISS, ISE, Exposure-Response).
- Hands-on programming of in-house deliverables including but not limited to Dose Committee meetings, Board of Director meetings, Exploratory Analysis, etc.
- Verification Review of Statistical Analysis Plans (SAP), documents, spreadsheets, slides for in-house presentations and external publications.
- MS, BS/BA degree or other suitable qualification with relevance to the field.
- Oncology programming experience.
- At least 6-8 years of statistical programming experience with clinical trial data using SAS software.
- A fast learner with a demonstrable record of teamwork
- Thrives in a collaborative team setting and is driven by a desire to deploy and/or adopt innovative approaches and technologies in a high energy environment.
- Excellent written and verbal communication skills.
- Demonstrated ability to multi-task, prioritize options, anticipate challenges, and execute goals as a member of an interdisciplinary team is extremely important.
- Industry experience is essential
- Relevant programming certifications
- Phase I/II exploratory analysis, leading small deliverables
- Oncology Graphs
Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status.
Revolution Medicines takes the protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy . For additional information, please contact .
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Research, Analyst, and Information Technology
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