Itlearn360
Statistical Programmer at Planet Group Seattle, WA
Itlearn360, Seattle, Washington, us, 98127
Overview
Statistical Programmer job at Planet Group. Seattle, WA. 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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Statistical Programmer job at Planet Group. Seattle, WA. 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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