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 I-IV 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 ad-hoc reports utilizing raw data and analysis datasets
• Applying strong understanding/experience of Efficacy analysis
• Communicating with and/or responding to internal cross-functional 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 Non-CDISC 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 ad-hoc 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 cross-cultural partners.

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

https://lifelancer.com/jobs/view/37c0ccf8d6e861968c61e0f4f503afad