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Placements24

Upington

Remote

ZAR 1,994,000 - 2,824,000

Full time

14 days+

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Job summary

Cytel is seeking a Senior/Principal Statistical Programmer (SAS + R) for remote work embedded with a global pharmaceutical client. You’ll lead programming activities, ensure data are delivered with high quality, and work with statistics to support trials and regulatory submissions.

You will implement SDTM/ADaM, review define.xml, manage datasets and listings, and oversee CRO deliverables to meet timelines while following FDA/ICH guidelines.

Qualifications

  • Bachelor’s degree in computer science, data science, mathematics or statistics.
  • 7+ years as a Statistical Programmer in biotech/pharma clinical development biometrics.
  • Expert SAS programming with SDTM/ADaM define.xml experience.
  • Experience supporting regulatory submissions and working with FDA/ICH guidelines.
  • Strong communication and independent work capabilities.

Responsibilities

  • Generate SDTM, ADaM specifications, datasets, reviewer’s guides and define.xml files for multiple studies.
  • Develop SAS programs to create datasets, listings, tables and graphs.
  • Deliver high-quality statistical programming results and validate SAS/R programs.
  • Oversee CROs’ programming deliverables to meet timelines and quality standards.
  • Support preparation of clinical study reports and regulatory submissions.
  • Contribute to programming standards, CRFs, and data validation plans.
  • Collaborate with internal/external partners to achieve project goals.
  • Review SOPs and work instructions related to statistical programming.

Skills

SAS programming
R programming
CDISC SDTM/ADaM
Define.xml
Regulatory submissions
Leadership
Independent work

Education

Bachelor's degree in computer science, data science, mathematics, or statistics

Tools

Unix/Linux
Git
Python
Shiny

Job description

Senior/Principal Statistical Programmer SAS + R (Remote)

Sponsor-dedicated:
Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Principal Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.
Position Overview:
This position reports to the Director, Biostatistics and Programming in the FSP Services business unit in Cytel. The Principal Statistical Programmer works independently with only concept level instruction and very little supervision, tracks progress, and provides expert technical support to team members. We are looking for a highly experienced senior statistical programmer who will work on clinical development programs on different therapeutic areas and participate in overseeing CRO programmers to ensure that data summaries are delivered in a consistent, high-quality manner. This individual will be responsible for implementing all reporting and analysis activities for the Sponsor clinical trials.

Responsibilities
  • Generate SDTM, ADaM specifications, datasets, reviewer's guide and define.xml files for multiple studies
  • Develop SAS programs which generate datasets, complex listings, tables (including those with descriptive and standard inferential statistics in collaboration with a Statistician), and complex graphs
  • Deliver high-quality statistical programming results including developing, validating, and maintaining SAS and/or R programs tailored to clinical development programs' needs
  • Participate in overseeing CRO's statistical programming deliverables for multiple clinical studies to ensure high-quality and meet the pre-specified timelines
  • Support the preparation of clinical study reports, regulatory submissions, publications, annual DSUR, and exploratory analyses
  • Understand and follow FDA regulations which affect the reporting of clinical trial data. This includes good clinical practice and guidelines for electronic submissions.
  • Contribute to the creation, maintenance, documentation, and validation of standards for programming tools, outputs, and macros
  • Participate in the development of CRFs, edit check specifications, and data validation plans
  • Provide review and/or author data transfer specifications for external vendor data
  • Collaborate with internal and external functions (e.g. CROs, software vendors, clinical development partners, etc.) to ensure meeting project timelines and goals
  • Provide review and/or author SOPs and/or Work Instructions related to statistical programming practices
Qualifications
  • At a minimum bachelor's degree in computer science, data science, mathematics, or statistics major preferred
  • 7+ years of experience as a Statistical Programmer on a Biotech/Pharma Clinical Development Biometrics Team or with a similar team and experience supporting drug development, medical device development, or intervention studies
  • Exceptional SAS programming skills and expertise in the development and implementation of statistical programming procedures and processes in a clinical development environment
  • Extensive applied experience of CDISC standards (SDTM, ADaM, and Define.xml), medical terminology, clinical trial methodologies, and FDA/ICH regulation
  • Experience supporting regulatory submissions, interacting with the FDA and/or global regulatory authorities
  • Must be able to work independently
  • Outstanding communication skills (written and verbal) and strong leadership skills
Preferred Qualifications
  • Prior work experience with pharmacokinetic data and the neuroscience field,
  • proficiency in languages or tools other than SAS (e.g., R, Python, and Java, Shiny, Markdown, Unix/Linux and git)

Cytel Inc. is an Equal Employment / Aff…? Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.

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