Senior Statistical Programmer

As a Senior Statistical Programmer you will leverage your advanced SAS programming skills and proficiency in CDISC standards (SDTM ADaM) to support or lead one or more Phase IIV clinical trials. This role can be performed as fully remote.
How you will contribute:

• Performing data manipulation analysis and reporting of clinical trial data both safety and efficacy utilizing SAS programming
• Generating and validating analysis datasets/analysis files and complex tables listings and figures ( TLFs)
• Production and QC / validation programming
• Generating complex adhoc reports utilizing raw data and analysis datasets
• Applying strong understanding/experience of Efficacy analysis
• Communicating with and/or responding to internal crossfunctional teams and client for project specifications status issues or inquiries
• Performing lead duties for assigned clinical study under principle programmers oversight
• Serving as team player with a willingness to go the extra distance to get results meet deadlines etc.
• Being adaptable and flexible when priorities change
• Generating and validating NonCDISC transformation datasets and analysis datasets
• Proficient knowledge with SDTM/ADaM and TLFs. General expertise with Figures
• Individuals should be able to start programs from scratch and have the ability to handle complicated domains and outputs related to the protocol and SAP.
• They must demonstrate a good understanding of the endpoints and data collection with the ability to read and write specifications related to the respective implementation guides.
• R complex macro writing are a plus

What you offer:

• Bachelors degree in one of the following fields Statistics Computer Science Mathematics etc.
• At least 8 years of SAS programming working with clinical trial data in the Pharmaceutical Biotech industry with a bachelors degree or equivalent. At least 6 years of related experience with a masters degree or above.
• Study lead experience preferably juggling multiple projects simultaneously.
• Strong SAS data manipulation analysis and reporting skills.
• Strong QC / validation skills.
• Good adhoc reporting skills.
• Solid ADaM and complex TFL skills.
• Proficiency in efficacy analysis and survival analysis
• Familiarity with drug development life cycle and experience with the manipulation analysis and reporting of clinical trials data.
• Submissions experience utilizing define.xml and other submission documents
• Excellent analytical troubleshooting skills.
• Ability to provide quality output and deliverables in adherence with challenging timelines.
• Ability to work effectively and successfully in a globally dispersed team environment with crosscultural partners.

Please use the below link for job application and quicker response.

Remote Work :

No