Job Description

Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. 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 accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE

Responsibilities:
  • Develop and maintain programs to create analysis datasets, tables, and figures, ensuring accuracy and compliance with statistical standards
  • Provide comprehensive statistical programming support for statisticians, clients, or business needs, including troubleshooting and resolving programming issues
  • Source, organize, and interpret complex data sets, utilizing advanced coding techniques to ensure data integrity and usability
  • Collaborate with statisticians and other stakeholders to understand project requirements and deliver high-quality statistical outputs
  • Evaluate existing programming processes, identify areas for improvement, and implement revisions to enhance productivity and efficiency
  • Contribute to the design, implementation, and delivery of processes, programs, and policies, leveraging in-depth knowledge and skills within the statistical programming discipline
  • Direct the work of lower-level professionals, providing guidance and mentorship to ensure the successful completion of projects and tasks
  • Manage processes and programs related to statistical programming, ensuring alignment with organizational goals and objectives
  • Ensure effective communication and collaboration with cross-functional teams to meet the needs of statisticians, clients, or businesses
  • Stay updated with the latest advancements in statistical programming and data analysis techniques, continuously improving skills and knowledge to deliver innovative solutions
Required Qualifications:
  • Advanced degree in Statistics, Computer Science, or a related field
  • Proven experience in statistical programming and data analysis
  • Strong knowledge of programming languages such as SAS, R, or Python
  • Familiarity with data visualization tools and techniques
  • Excellent problem-solving and analytical skills
  • Ability to work independently and manage multiple projects simultaneously
Benefits:
  • 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 our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people.
  • We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong.
Nice To Have:
  • SAS Certified Advanced Programmer for SAS 9 or equivalent certification
  • Certification in data analysis or statistical programming is preferred
Skills:
  • Proficiency in statistical programming and data manipulation
  • Strong understanding of statistical methodologies and data analysis techniques
  • Ability to develop and implement efficient programming solutions
  • Excellent communication and collaboration skills
  • Attention to detail and commitment to quality
  • Ability to adapt to changing project requirements and priorities
Technologies:
  • SAS
  • R
  • Python
Note:

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