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Principal Statistical Programmer(ADAM & TLF)

Syneos Health Inc

Principal Statistical Programmer(ADAM & TLF)

Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver – for one another, our customers, and, most importantly, for those in need. Discover what your 25,000 future colleagues already know: Why Syneos Health• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.• We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life. • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.

Job Responsibilities
  • Develop and maintain statistical programming standards and best practices
  • Provide technical expertise and leadership in the development of statistical programs
  • Collaborate with statisticians and other stakeholders to understand and address their programming needs
  • Ensure the accuracy and integrity of data and statistical outputs
  • Troubleshoot and resolve programming issues and challenges
  • Mentor and train junior programmers and other team members
  • Contribute to the continuous improvement of programming processes and tools
  • Design and implement efficient programming solutions to meet project requirements
  • Conduct code reviews and provide constructive feedback to ensure high-quality programming deliverables
  • Stay updated with the latest advancements in statistical programming and incorporate relevant techniques into practice
Qualifications
  • Require 8+ experience in Clinical SAS, Base SAS, Advance SAS
  • Strong experience in ADAM & TLF programming including ADaM specifications, dataset generation,
  • Good to have experience of ISDB-ISS, pooling study
  • Must have experience of client handling, leading studies.
  • Good to have experience of both safety & efficacy data.
  • Strong communication skills, problem-solving abilities, and ability to work collaboratively in a dynamic environment.
Certifications
  • SAS Certified Advanced Programmer for SAS 9 or equivalent certification preferred
Necessary Skills
  • Expertise in statistical programming and data analysis
  • Proficiency in programming languages such as SAS, R, or Python
  • Strong understanding of statistical methods and data analysis techniques
  • Excellent problem-solving and analytical skills
  • Ability to work independently and as part of a team
  • Strong communication and interpersonal skills

Get to know Syneos Health

Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

Vacancy posted 19 hours ago
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