Senior SAS Programmer

Seattle - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Responsibilities:

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.
Performing data manipulation analysis and reporting of clinical trial data both safety and efficacy (ISS/Client) utilizing SAS programming.
Generating and validating SDTM and ADaM datasets/analysis files and tables listings and figures (TLFs).
Production and QC / validation programming.
Generating complex ad-hoc reports utilizing raw data.
Applying strong understanding/experience of Efficacy analysis.
Creating and reviewing submission documents and eCRTs.
Communicating with and/or responding to internal cross-functional teams and client for project specifications status issues or inquiries.
Performing lead duties when called upon.
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.

Requirements:

Bachelors degree in one of the following fields Statistics Computer Science Mathematics etc.
7 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech industry with a bachelors degree or 6 years of related experience with a masters degree.
Strong SAS data manipulation analysis and reporting skills.
Good working knowledge of R and have applied it in clinical trial analysis.
Solid experience implementing the latest CDISC SDTM / ADaM standards.
Strong QC / validation skills.
Good ad-hoc reporting skills.
Proficiency in Efficacy analysis.
Familiarity with drug development life cycle and experience with the manipulation analysis and reporting of clinical trials data.
Submissions experience utilizing 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.

Responsibilities: 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. Performing data manipulation analysis and reporting of clinical trial data both sa...

Responsibilities:

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.
Performing data manipulation analysis and reporting of clinical trial data both safety and efficacy (ISS/Client) utilizing SAS programming.
Generating and validating SDTM and ADaM datasets/analysis files and tables listings and figures (TLFs).
Production and QC / validation programming.
Generating complex ad-hoc reports utilizing raw data.
Applying strong understanding/experience of Efficacy analysis.
Creating and reviewing submission documents and eCRTs.
Communicating with and/or responding to internal cross-functional teams and client for project specifications status issues or inquiries.
Performing lead duties when called upon.
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.

Requirements:

Bachelors degree in one of the following fields Statistics Computer Science Mathematics etc.
7 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech industry with a bachelors degree or 6 years of related experience with a masters degree.
Strong SAS data manipulation analysis and reporting skills.
Good working knowledge of R and have applied it in clinical trial analysis.
Solid experience implementing the latest CDISC SDTM / ADaM standards.
Strong QC / validation skills.
Good ad-hoc reporting skills.
Proficiency in Efficacy analysis.
Familiarity with drug development life cycle and experience with the manipulation analysis and reporting of clinical trials data.
Submissions experience utilizing 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.