Sr Biostatistician-Sr Data Scientist​/Analyst; US and UK

Sr Biostatistician – Sr Data Scientist/Analyst (US & UK Only)

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 to simplify and streamline our work to make Syneos Health easier to work with and 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. We continuously build the company we all want to work for and our customers want to work with.

• Company car or car allowance
• Health benefits:
  
  Medical, Dental, and Vision
• Company match 401(k)
• Eligibility to participate in Employee Stock Purchase Plan
• Eligibility to earn commissions/bonus based on company and individual performance
• Flexible paid time off (PTO) and sick time

Additional benefits vary by location and may include company car, health benefits, retirement plans, stock purchase options, and flexible PTO.

• Must be located in the United States or United Kingdom with no sponsorship required.
• Lead development of analysis specifications, develop programs, and conduct analyses while providing technical guidance for Real World Data (RWD) research.
• Ensure quality standards and methodological rigor across projects through development of patient cohorts and validation of key variables.
• Leadership of RWD analysis strategy and execution.
• Lead development of technical specifications and study methodology.
• Statistical programming proficiency (R, SAS, SQL, Python).
• Oversight of quality control processes.
• Cross‑functional team collaboration.
• Management of project timelines and deliverables.
• Development of best practices and standards.
• Demonstrated ability to communicate complex analyses to non‑technical stakeholders.
• Technical expertise: proficiency in SAS or R & SQL, independent programming, complex data structures, and study design.
• Experience with complex programming such as propensity score analysis, lines of therapy, Sankey diagram, machine learning.
• Experience with machine learning methods (LASSO, decision trees, random forest, XGBoost) with RWD.
• Experience with OHDSI or DARWIN tool sets in R.
• Subject matter expertise: understanding of epidemiology/outcomes research, study design, biomarker/genomic data sources.
• Experience with healthcare databases such as claims and EHRs; knowledge of common data models like OMOP CDM.
• Experience with psychometric validation for clinical trials.
• Project implementation capability: statistical analysis plan development, protocol/manuscript development, study design and execution.
• Experience with project tracking in software (Jira or ADO).

• Master’s degree in Biostatistics, Epidemiology, Data Science, Bioinformatics or a related field with 5–8 years of relevant experience;
  PhD with 3+ years post‑graduation experience.
• Advanced expertise in statistical programming and observational research methods.
• Comprehensive experience with healthcare data sources and analysis.
• Proven ability to lead projects autonomously in a matrix environment.
• Track record of managing priorities and performance targets.
• Oncology specific: experience in oncology observational studies, Flatiron and Concert
  
  AI, lines of therapy.
• Molecular epi specific: CCloud-based SQL, genomic multi‑modal data (e.g., Tempus AI, UK Biobank), multitasking in a matrix environment, Tableau or Power BI skills.
• HEOR specific: SAS/SQL, R beneficial, health economics/outcomes research methodologies.

$80,600.00 – $ (actual salary will vary based on candidate qualifications).

Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company is committed to compliance with the Americans with Disabilities Act and to provide reasonable accommodations to assist employees or applicants to perform essential job functions.