Statistical Programming Manager (Full Time, 100% Remote)
: Job Details :


Statistical Programming Manager (Full Time, 100% Remote)

Elan Solutions

Job Location : all cities,AK, USA

Posted on : 2024-12-02T19:14:52Z

Job Description :
Job Description:Title: Manager, Statistical Programming Manager (Full Time, 100% Remote)Client: CROLocation: Remote (Bay Area) Salary Range: $150,000 - $153,800 Must Have:
  • CRO experience of 5+ years
  • Study Lead experience of 3+ years
  • Personnel Management experience of 3+ years
  • Work in Pacific Time Zone (8 hours in an East to West coast time frame)
  • Diverse therapeutic areas experience
  • Excellent oral and written communication
  • Overview: We are seeking a Statistical Programming Manager with extensive CRO and clinical experience for a CRO client, located in the Bay Area. Ideal candidate will be a highly motivated and detail-oriented professional. Please reach out to us if you experience matches below Responsibilities:
    • Act as the lead for statistical programming on products and/or groups of studies, serving as the main contact for all programmer communications and overseeing task assignments.
    • Independently support statisticians in planned and ad hoc analyses, showcasing SAS programming proficiency.
    • Write and execute statistical programs to create analysis databases, tables, listings, and figures for clinical trial reports.
    • Oversee programming resources across multiple studies, serving as a key resource for other statistical programming leads.
    • Offer timely support to study teams on programming matters according to project strategies, ensuring the integrity of data and on-time deliverables.
    • Execute programming and project standards to support the production or validation of CDISC SDTM, ADaM datasets, and other deliverables.
    • Ensure adherence to quality control procedures for all statistical programming activities.
    • Assist in the development, implementation, maintenance, and testing/validation of the SAS macro library and other utility code/tools to improve statistical programming efficiency.
    • Develop and maintain programming procedures to implement and standardize CDISC and other regulatory requirements.
    • Engage in initiatives aimed at enhancing biostatistical programming processes.
    • Contribute to the development of plans for biostatistical programming, including structure, workflow, standardization, productivity enhancement, and future development.
    • Provide mentoring and support to other statistical programmers.
    • Contribute to the development and maintenance of Standard Operating Procedures (SOPs) and training guidelines for statistical programming.
    • Participate in internal study team and client meetings as required.
    Education and Experience Requirements:
    • Degree: B.S. or B.A. in computer science, statistics, or a related scientific discipline.
    • Experience: Minimum of 12 years of SAS programming experience, with at least 6 experience handling clinical study data in a contract research organization or pharmaceutical/biotech company.
    Knowledge & Skill Requirements:
    • Advanced knowledge of SAS Base, SAS Stat, SAS Macro, and SAS Graph.
    • Proficient in CDISC standards and regulatory submission requirements.
    • Familiarity with other programming languages such as R or Python is a plus.
    • Demonstrated experience in preparing, processing, and analyzing clinical data through SAS code or macros.
    • Experience across all phases of studies, including submissions.
    • Exposure to multiple therapeutic areas and indications.
    • Ability to process clinical data required for statistical analysis and support the creation of summary tables, data listings, graphs, and CDISC datasets for regulatory submission.
    • Minimum of 4 years of personnel management experience.
    • Capability to manage multiple projects with competing and stringent deadlines.
    • Excellent oral and written communication skills.
    • Ability to work effectively in a collaborative and multidisciplinary environment.
    Required Skills: • Personnel Management • Graphs • SAS • Regulatory Requirements • Salary • Mentoring • Validation • Programming Languages • Deliverables • R • Statistics • Quality Control • Programming • Databases • Computer Science • Education • Research • Python • Testing • Maintenance • Communication • Science • Training • Management
    Apply Now!

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