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

Sr Biostatistician-Sr Data Scientist/Analyst (US and 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 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

• 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.

• Must be located in the United States or UK with no sponsorship needs to be considered for this position.

Core Function

Description:

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.

Required Experience:

• 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 is a must, expectation to be programming independently, creating packages, taking requirements, writing specifications, work with complex data structures and study design.
  • Experience in more complex programming, such as propensity score analysis, lines of therapy, Sankey diagram, machine learning.
  • Experience with complex statistical programming, such as propensity score matching.
  • Experience applying machine learning methods (such as LASSO, DT, RF, and XGBoost) with RWD.
• Experience with OHDSI or DARWIN tool sets in R
  • Understanding of epidemiology / outcomes research, experience with study design and execution, Biomarker/genomic data sources
  • Experience with healthcare databases:
    • Claims (examples include Optum, Market Scan, Pharmetrics+, Health Verity, CPRD)
    • Electronic Health Records (examples include IQVIA, Flatiron, Concert AI, TriNetX)
  • Experience with OMOP CDM or similar common data model framework
  • Knowledge of US/international data sources
  • For clinical trial analysis specifically, experience with psychometric validation
• Project Implementation capability
  • Statistical analysis plan development
  • Protocol / manuscript development
  • Study design and execution
  • Cross-functional team collaboration
  • Being able to track and update work in a software (Jira or ADO)
• Minimum Qualifications
  • Master's degree is Biostatistics, Epidemiology, Data Science, Bioinformatics, or related field with 5-8 years of relevant post-graduation experience or 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
• Additional requirements may include:
  • Oncology Specific:
    Experience in oncology observational studies, experience in Flatiron and Concert
    
    AI, understanding of programming logic in lines of therapy
  • Molecular Epi Specific:
    • CCloud-based SQL is desirable
    • Experience with Clinico-genomic multi-modal data (e.g. Tempus AI) or population biobank data (UK biobank)
    • Experience and comfort to multitasking and working in a matrix environment
    • Tableau or Power BI or other graphics tool is a plus
  • HEOR Specific:
    • SAS/SQL required, additional experience with R beneficial
    • Experience with health economics and outcomes research (HEOR) methodologies, including cost analysis,…