IQVIA Principal Statistical Programmer in New York City, New York
Location: Homebased anywhere in the US
Experienced R programmers needed to provide technical expertise to develop process methodology for department to meet internal and external clients’ needs. Plan and coordinate the development of integrated programming solutions serving the full spectrum of statistical programming needs. Provide technical expertise and leadership to the department. Provide internal consulting services, including specifications and user needs analysis for complex project or client requirements.
Position: – Principal Statistical Programmer
Min 4+ years of CRO/Pharma Industry
Therapeutic Areas: Oncology // Immunology // IDV // EDCP
Must have expertise of R programming as well as SAS® Base, and good knowledge of SAS® graph and SAS® Macros.
Capable of implementing more advanced statistical procedures as per specifications provided by biostatistician.
Must have excellent knowledge of CDISC standards (SDTM and ADaM)
Thorough understanding of relational database components and theory.
Excellent application development skills.
Strong understanding of clinical trial data and extremely hands on in data manipulations, analysis and reporting of analysis results.
Good understanding of ICH E6, ICH E3, ICH E8, ICH E9 and clinical research processes.
Minimum of 4+ years of experience in Statistical Programming in pharmaceutical or medical devices industry
Good verbal and written communication skills.
Ability to work on multiple projects, plan, organize and prioritize activities.
Required Knowledge, Skills and Abilities:
Experience as technical team lead directly engaging clients and coordinating tasks within a programming team
In-depth knowledge of applicable clinical research regulatory requirements, i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines
Knowledge of statistics, programming and/or clinical drug development process
Advanced knowledge of R programming
Base SAS, SAS/STAT, SAS Graph and SAS Macro Language
Should have experience with SDTM Implementation and ADaM implementation according to CDISC Standards.
Must have expertise in SAS/BASE, SAS/MACRO, SAS/STAT, SAS/GRAPH, SAS/ACCESS, SAS/ODS, SAS/SQL.
Good organizational, interpersonal, leadership and communication skills
Ability to independently manage multiple tasks and projects
Ability to delegate work to other members of the SP team
Excellent accuracy and attention to detail
Ability to delegate work to other members of the SP team [SPM]
Exhibits routine and occasionally complex problem-solving skills
Ability to lead teams and projects and capable of managing at a group level
Recognizes when negotiating skills are needed and seeks assistance.
Ability to establish and maintain effective working relationships with co-workers, managers and clients.
Perform, plan co-ordinate and implement the following for complex studies: (i) the programming, testing, and documentation of statistical programs for use in creating statistical tables, figures, and listing and (ii) the programming of analysis datasets (derived datasets) and transfer files for internal and external clients and (iii) the programming quality control checks for the source data and report the data issues periodically..
Ability to interpret project level requirements and develop programming specifications, as appropriate, for complex studies.
Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to SP teams and Statistical Programming department, for complex studies.
Fulfil project responsibilities at the level of technical team lead for single complex studies or group of studies.
Directly communicate with internal and client statisticians and clinical team members to ensure appropriate understanding of requirements and project timelines.
Estimate programming scope of work, manage resource assignments, communicate project status and negotiate/re-negotiate project timelines for deliverables.
Use and promote the use of established standards, SOP and best practices.
Provide training and mentoring to SP team members and Statistical Programming department staff.
MINIMUM REQUIRED EDUCATION AND EXPERIENCE:
- Bachelor's degree from reputable university preferably in science/ mathematics related fields
IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at https://jobs.iqvia.com
We are committed to providing equal employment opportunities for all, including veterans and candidates with disabilities. https://jobs.iqvia.com/eoe
IQVIA’s ability to operate and provide certain services to customers and partners necessitates IQVIA and its employees meet specific requirements regarding COVID-19 vaccination status. https://jobs.iqvia.com/covid-19-vaccine-status
The potential base pay range for this role, when annualized, is $119,400.00 - $203,100.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
IQVIA is a world leader in using data, technology, advanced analytics, and expertise to help customers drive healthcare – and human health – forward. Together with the companies we serve, we are enabling a more modern, more effective and more efficient healthcare system, and creating breakthrough solutions that transform business and patient outcomes.
To get there, it takes diverse skills and a curiosity to explore new possibilities. No matter your role, everyone at IQVIA, including our colleagues at Q² Solutions, contributes to our shared goal of improving human health. Thank you for your interest in growing your career with us.
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