Senior Statistical Programmer

Connect Life Sciences; United States; On-site; USD 80,000 - 120,000; Full time

Job summary

Connect Life Sciences is seeking a skilled professional in the United States with extensive Oncology experience and strong statistical programming capabilities.

Candidates must have a Bachelor's Degree and at least 6 years of industry experience. Responsibilities include preparing clinical data submissions, managing project timelines, and providing mentorship to the programming team.

This role demands adherence to CDISC standards and proficiency in SAS programming.

Qualifications

• 6+ years of industry experience, with extensive Oncology experience.
• Good knowledge of TFL programming.
• Experience in programming according to CDISC standards (SDTM, ADaM).

Responsibilities

• Participating in all statistical programming activities for clinical data submission.
• Might need to manage projects on timelines, scope, and budget.
• Train and mentor the statistical programming team.

Skills

Oncology experience

TFL programming

CDISC standards

Statistical programming

Education

Bachelor's Degree in statistics, computer or life science

Tools

SAS

Job description

Overview

Must be eligible to work in the US without restrictions. No 3rd parties.

Requirements

• Bachelor's Degree; 6+ years of industry experience, with extensive Oncology experience
• Good knowledge of TFL programming.
• Experience in programming according to CDISC standards (SDTM, ADaM), and preparing documents for submission (Reviewer’s Guide, Define.xml)
• A bachelor’s degree in either statistics, computer or life science discipline

Duties

• Participating in all statistical programming activities including preparing clinical data to submission using CDISC or customized standards, reviewing data conversions, data analysis datasets and outputs and taking part in creating best practices and implementation guides.
• Might need to be responsible for project management (timelines, scope, budget, resourcing) on a project or program level.
• Train, mentor and share knowledge with the rest of the statistical programming team.
• Creating programming specification documents for all types of data (SDTM, ADaM, Derived data, etc.).
• Might include interaction with customers on a project or program level.
• Development of SAS programs for conversion of the clinical data based on CDISC or customer instructions.
• Development of SAS programs for analysis datasets based on SAP, shells and CDISC or customer instructions.
• Development of SAS programs for study TFLs, based on study SAP and shells.
• Review and verify all types of conversions and programming done based on customer requirements.
• Development of core programs for validation, conversion, and maintenance of clinical data dataset structure.
• Follow the appropriate Standard Operating Procedures (SOPs) for all statistical programming related activities.