Job Description
Position (CANADA BASED) Overview:
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.
Our values
We believe in applying scientific rigor to reveal the full promise inherent in data.
We nurture intellectual curiosity and encourage everyone to approach new challenges with enthusiasm and the desire for discovery.
We believe in collaboration and invite a diversity of perspectives, drawing on a variety of talents to create a wealth of possibilities.
We prize innovation and seek intelligent solutions using leading-edge technology.
ShortDescriptionStr
Our commitment to developing our staff is only surpassed by our commitment to advancing treatment options available to patients. At Cytel, we work hard to create successful careers with significant professional growth for our employees and as a result work hard to make Cytel successful. Cytel is a place where talent, experience, and integrity come together to advance the state of clinical development.
Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:
Bachelor’s 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 bachelor’s degree or equivalent. At least 6 years of related experience with a master’s degree or above.
Study lead experience, preferably juggling multiple projects simultaneously preferred.
Strong SAS data manipulation, analysis and reporting skills.
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 define.xml and other submission documents.
Experience supporting immunology, respiratory or oncology studies would be a plus.
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.
InternalQualificationsStr
Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:
Bachelor’s 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 bachelor’s degree or equivalent. At least 6 years of related experience with a master’s degree or above.
Study lead experience, preferably juggling multiple projects simultaneously preferred.
Strong SAS data manipulation, analysis and reporting skills.
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 define.xml and other submission documents.
Experience supporting immunology, respiratory or oncology studies would be a plus.
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.
InternalResponsibilitiesStr
How you will contribute:
Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), 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
ExternalResponsibilitiesStr
How you will contribute:
Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), 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
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.
Our values
We believe in applying scientific rigor to reveal the full promise inherent in data.
We nurture intellectual curiosity and encourage everyone to approach new challenges with enthusiasm and the desire for discovery.
We believe in collaboration and invite a diversity of perspectives, drawing on a variety of talents to create a wealth of possibilities.
We prize innovation and seek intelligent solutions using leading-edge technology.
ShortDescriptionStr
Our commitment to developing our staff is only surpassed by our commitment to advancing treatment options available to patients. At Cytel, we work hard to create successful careers with significant professional growth for our employees and as a result work hard to make Cytel successful. Cytel is a place where talent, experience, and integrity come together to advance the state of clinical development.
Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:
Bachelor’s 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 bachelor’s degree or equivalent. At least 6 years of related experience with a master’s degree or above.
Study lead experience, preferably juggling multiple projects simultaneously preferred.
Strong SAS data manipulation, analysis and reporting skills.
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 define.xml and other submission documents.
Experience supporting immunology, respiratory or oncology studies would be a plus.
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.
InternalQualificationsStr
Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:
Bachelor’s 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 bachelor’s degree or equivalent. At least 6 years of related experience with a master’s degree or above.
Study lead experience, preferably juggling multiple projects simultaneously preferred.
Strong SAS data manipulation, analysis and reporting skills.
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 define.xml and other submission documents.
Experience supporting immunology, respiratory or oncology studies would be a plus.
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.
InternalResponsibilitiesStr
How you will contribute:
Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), 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
ExternalResponsibilitiesStr
How you will contribute:
Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), 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
💡 Quick Summary
Seeking a career-building opportunity? The Senior Statistical Programmer PBS position is now open for candidates interested in the Work from home Jobs sector. This role in Edmonton offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.