Statistical Programmer at Planet Group Seattle, WA
Itlearn360, Seattle, WA, United States
Statistical Programmer job at Planet Group, Seattle, WA.
POSITION SUMMARY:
The incumbent is responsible for the quality, as well as the timely and efficient delivery of project statistical programming outputs. This role performs supports statistical programming activities for studies and programs in the Biometrics team.
KEY ROLE AND RESPONSIBILITIES:
Accountable for quality, timely and efficient delivery of statistical programming work
Develops and validates datasets, TLFs, and adhoc analyses for in-house deliverables.
Develops and validates standard department-level programs and templates.
Participates in the development of best practices, standards and process improvement initiatives.
Maintains expertise of the latest industry and regulatory requirements to stay current.
REQUIRED QUALIFICATIONS:
3+ years within the pharmaceutical, biotechnology or clinical research industry.
Proven experience using statistical software packages SAS and R.
Strong understanding of statistical analysis methodologies and criteria.
Proficiency in CDISC SDTM and ADaM standards.
Experience with validation tools Pinnacle 21 or CDISC CORE
Prior experience in the analysis of hematology or oncology clinical trial data.
PREFERRED QUALIFICATIONS:
Professional experience working in Python
Professional experience developing Shiny applications
KNOWLEDGE, SKILLS AND ABILITIES:
Effective communication and collaboration skills, enabling teamwork with team members and cross-functional partners, either situated locally or remotely.
Attention to detail and the ability to work efficiently in a fast-paced and dynamic environment.
Current knowledge of technical and regulatory requirements related to clinical programming.
Ability to apply programming expertise to problem solving and troubleshooting for teams.
Pay Rate Range: $40-60/hr depending on experience
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KEY ROLE AND RESPONSIBILITIES:
Accountable for quality, timely and efficient delivery of statistical programming work
Develops and validates datasets, TLFs, and adhoc analyses for in-house deliverables.
Develops and validates standard department-level programs and templates.
Participates in the development of best practices, standards and process improvement initiatives.
Maintains expertise of the latest industry and regulatory requirements to stay current.
REQUIRED QUALIFICATIONS:
3+ years within the pharmaceutical, biotechnology or clinical research industry.
Proven experience using statistical software packages SAS and R.
Strong understanding of statistical analysis methodologies and criteria.
Proficiency in CDISC SDTM and ADaM standards.
Experience with validation tools Pinnacle 21 or CDISC CORE
Prior experience in the analysis of hematology or oncology clinical trial data.
PREFERRED QUALIFICATIONS:
Professional experience working in Python
Professional experience developing Shiny applications
KNOWLEDGE, SKILLS AND ABILITIES:
Effective communication and collaboration skills, enabling teamwork with team members and cross-functional partners, either situated locally or remotely.
Attention to detail and the ability to work efficiently in a fast-paced and dynamic environment.
Current knowledge of technical and regulatory requirements related to clinical programming.
Ability to apply programming expertise to problem solving and troubleshooting for teams.
Pay Rate Range: $40-60/hr depending on experience
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