Job Title:
Senior / Principal Statistical Programmer (Oncology) – Immediate Joiner
Updated: October 31, 2025
Location: IND – Remote
Job ID: 25102640
About Syneos Health
Syneos Health® is a fully integrated biopharmaceutical solutions organization focused on accelerating customer success. We combine clinical, medical affairs, and commercial expertise to bring innovative therapies to patients faster.
Our Clinical Development model places the customer and patient at the center of everything we do. We continuously simplify and innovate our processes — making Syneos Health easier to work with and for.
With 29,000 employees across 110 countries, we have collaborated on:
94% of all Novel FDA Approved Drugs
95% of EMA Authorized Products
200+ Clinical Studies across 73,000 sites and 675,000+ trial patients
At Syneos Health, WORK HERE MATTERS EVERYWHERE.
Why Join Us
Career development and clear progression opportunities
Supportive leadership and mentorship
Comprehensive technical and therapeutic area training
Recognition and total rewards programs
“Total Self Culture” – an environment that encourages authenticity and belonging
Diverse and inclusive global community
Position Overview
As a Senior / Principal Statistical Programmer (Oncology), you will play a lead role in developing, validating, and delivering high-quality statistical programming outputs to support clinical research and regulatory submissions. This role requires expertise in SAS programming, clinical data analysis, and oncology therapeutic area experience.
Key Responsibilities
Develop, test, and validate custom SAS programs to generate analysis datasets (ADaM), tables, listings, and figures (TLFs) as per SAP and specifications.
Conduct validation programming and resolve discrepancies in collaboration with Biostatisticians and project teams.
Maintain high-quality documentation, testing, and quality control files ensuring inspection readiness.
Manage multiple projects, plan timelines, and reprioritize as needed to meet deliverables.
Serve as lead programmer, guiding and reviewing the work of junior programmers.
Review key project documents including Statistical Analysis Plans (SAPs), mock shells, annotated CRFs, and programming specifications.
Participate in internal and sponsor meetings (kickoffs, bid defenses, and project reviews).
Mentor new team members, conduct training, and promote programming best practices.
Perform other programming and leadership tasks as required.
Qualifications & Experience
Education: Bachelor’s or Master’s degree in Life Sciences, Statistics, Computer Science, or related field.
Experience: Minimum 5+ years in Clinical SAS Programming.
Technical Skills:
Strong proficiency in Base SAS / Advanced SAS, ADaM, and TLF programming.
Experience in oncology therapeutic area and safety & efficacy data analysis.
Hands-on experience creating and validating specifications.
Experience with ISS/ISE and R programming (preferred).
Soft Skills:
Excellent written and verbal communication.
Strong analytical and problem-solving ability.
Proactive, detail-oriented, and collaborative mindset.
Availability: Immediate joiners preferred.
Additional Information
Minimal travel may be required.
Tasks and duties may vary; equivalent skills and experience will be considered.
The company complies with all relevant labor and equality laws, including EU Equality Directive and ADA (reasonable accommodations available).
This description is not an employment contract.
Summary
Roles within the Statistical Programming family involve developing, validating, and supporting statistical programming for clinical trials and regulatory submissions. Professionals in this area use statistical software to generate analysis datasets, tables, listings, and figures, ensuring data accuracy, compliance, and efficiency in reporting.
How to Apply
Apply Now: Visit Syneos Health Careers
Not ready to apply? Join our Talent Network to stay updated on new opportunities.
Equal Opportunity Statement
Syneos Health is committed to creating a diverse, inclusive, and authentic workplace.
If your background doesn’t perfectly match every requirement, we still encourage you to apply — transferable skills and growth potential are highly valued here.
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