Sr Statistical Programmer

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.

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.

Job Responsibilities:

• Uses SAS or other software to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications.
• Works to ensure that outputs meet quality standards and project requirements.
• Performs validation programming and works with other Programmers, Biostatisticians, and other project team members to resolve discrepancies or any findings.
• Keeps project team members informed of programming progress and issues requiring their attention.
• Follows applicable SOPs, WIs, and relevant regulatory guidelines (e.g., ICH).
• Maintains well-organized, complete, and up-to-date project documentation, testing, and verification/quality control documents and programs ensuring inspection readiness.
• Manages scheduling and time constraints across multiple projects at a time, sets goals based on priorities from management, and adapts to timeline or priority changes by reorganizing daily workload.
• Develops specifications for datasets and outputs of any complexity according to statistical and sponsor requirements.
• Prepares in advance for internal meetings, contributes ideas, and demonstrates respect for opinions of others.
• Conducts effective internal meetings (appropriate in format, frequency, and attendance).
• Displays willingness to work with others and assist with projects and initiatives as necessary to meet the needs of the business.
• Negotiates and establishes accurate time estimates for completion of study programming activities with internal team members and statistical programming management.
• Acts as the lead statistical programmer. Directs the programming activities of other programming personnel and monitors progress on programming deliverables.
• Reviews project documentation such as Statistical Analysis Plan, mock shells, programming specifications, annotated CRFs, and SAS database design.
• Participates in sponsor meetings, kickoff meetings, and bid defense meetings as statistical programming representative, as required by sponsor.
• Contributes to the mentoring of programming personnel through developing training courses, presenting training materials, reviewing work, and providing feedback or guiding new associates in process.
• Performs other work-related duties as assigned.
• Minimal travel may be required.

Qualifications:

• Undergraduate degree, preferably in a scientific or statistical discipline; in lieu of degree, an equivalent combination of education and demonstrated programming experience.
• Experience Senior SP (5 Years to 8 Years), SP II (3 to 5 Years) & Prin SP (5 to 8 Years).
• Primary Skills: End-to-end experience in ADAM, TFL’s & SDTM.
• Experience in R is preferred but not mandatory.
• Extensive programming experience in SAS or other required software, preferably in a clinical trial environment.
• Excellent written and verbal communication skills.
• Ability to read, write, speak and understand English.

At Syneos Health, we are dedicated to building a diverse, inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to apply anyway.