Senior Principal Statistical Programmer
3 weeks ago
Job Description Summary
This position will be located at Novartis and will not have the ability to be located remotely.
The Statistical Programming community at Novartis comprises of approximately 350 statistical programmers and belongs to the Advanced Quantitative Sciences (AQS) organization which also includes more than 450 biostatisticians, pharmacometricians and data scientists supporting the entire portfolio of clinical projects across the Research, Development and Commercial spectrum.
In this role, you will be responsible for all statistical programming aspects of several studies, a medium to large sized program or program-level activities (incl. submission and post-marketing activities). You will be a key collaborator and strategic partner with cross-functional team members within the clinical trial/program, ensuring the integrated/clinical development/evidence plans are executed efficiently with timely and high-quality deliverables.
Your Key Responsibilities:
Lead SP activities as a trial programmer for one or multiple trial(s) or as a Lead/Program Programmer for a program or an indication.
May coordinate activities of internal/external programmers. Make SP decisions and propose strategies at study, program or indication/disease level.
May act as functional manager of associates including providing supervision and guidance to these programmers on operational/functional expertise and processes.
Build and maintain effective working relationship with cross-functional teams, able to summarize and discuss status of deliverables and critical programming aspects (timelines, scope, resource plan), e.g. as SP representative in study-or program-level team.
Review eCRF, data structures, and ensure program-level standardization for effective pooling and efficient case record tabulation (CRT) production.
Comply with company, department and industry standards (e.g. CDISC) and processes, assess and clarify additional programming requirements, review, develop and influence programming specifications as part of the analysis plans (incl. program-level strategies).
Provide and implement statistical programming solutions; ensure knowledge sharing. Act as programming expert in problem-solving aspects.
Ensure timely and quality development and validation of datasets and outputs for clinical study reports (CSRs), regulatory submissions/interactions, safety reports, publications, post-marketing activities or exploratory analyses (as required) in the assigned drug development studies/program.
Responsible for quality control and inspection readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results.
Maintain up-to-date advanced knowledge of programming software (e.g. SAS, R) as well as industry requirements (e.g. CDISC, eCTD, ). May act as subject matter expert (SME) on process improvement/non-clinical initiatives with a focus on programming
Role Requirements:
Essential Requirements :
BS degree in statistics, computer science, mathematics, life science or equivalent relevant degree and 7+ years of work experience in a programming role preferably supporting clinical trials/ or in pharmaceutical industry
Experience as Trial/Lead/Program Programmer for several studies or project-level activities, including coordination of team of internal or external programmers on a given study/program, ability to transfer own knowledge to others
Expert SAS/R experience and proven skills in the use of SAS/R within a Statistical Programming environment to develop and validate deliverables, proven experience in development of advanced MACROs
Advanced experience in contributing to statistical analysis plans and/or constructing technical programming specifications
Advanced knowledge of industry standards including CDISC data structures as well as a solid understanding of the development and use of standard programs
Good understanding of regulatory requirements relevant to Statistical Programming (e.g. GCP, study procedures)
Proven communications and negotiation skills, ability to work well with others globally and influence
Desirable Requirements :
MS degree in statistics, computer science, mathematics, life science, or equivalent
Why Novartis:
Our purpose is to reimagine medicine to improve and extend people's lives and our vision is to become the most valued and trusted medicines company in the world.
How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions.
You'll receive:
You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook.
Commitment to Diversity & Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Accessibility and Reasonable Accommodations:
The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities.
Join our Novartis Network:
If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here:
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment.
We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
Salary Range
$130, $195,600.00
Skills Desired
Classification Systems, Clinical Trials, Computer Data Storage, Computer Programming, Cross-Functional Teams, Data Analysis, Data Structures, Initiative, Programming Languages, Reporting, Statistical Analysis
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