Sr Biostatistician-Sr Data Scientist/Analyst; US and UK
Listed on 2026-02-24
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IT/Tech
Data Scientist, Data Analyst
Location: New York
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, driven, and passionate about accelerating the delivery of therapies because we are passionate about changing lives.
Why Syneos Health- 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 unites us globally, and we are dedicated to taking care of our people.
- We continuously build the company we all want to work for and our customers want to work with. By bringing together diversity of thoughts, backgrounds, cultures and perspectives, we create a place where everyone feels like they belong.
Location Requirement
Must be located in the United States or United Kingdom with no sponsorship required.
Core Function
- 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 & Skills
- Leadership of RWD analysis strategy and execution.
- Lead development of technical specifications and study methodology.
- Statistical programming proficiency in R, SAS, SQL, and 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 with independent programming, package creation, specification writing, and complex data structure handling.
- Experience in complex programming including propensity score analysis, lines of therapy, Sankey diagrams, and machine learning.
- Experience with machine learning methods (e.g., LASSO, DT, RF, XGBoost) with RWD.
- Experience with OHDSI or DARWIN tool sets in R.
Subject‑Matter Expertise
- Understanding of epidemiology/outcomes research with study design and execution experience.
- Experience with biomarker/genomic data sources.
- Experience with healthcare databases (claims: Optum, Market Scan, Pharmetrics+, Health Verity, CPRD; EHR: IQVIA, Flatiron, Concert AI, TriNetX).
- Experience with OMOP CDM or similar common data model frameworks.
- Knowledge of U.S./international data sources.
- For clinical trial analysis, experience with psychometric validation.
Project Implementation
- Statistical analysis plan development.
- Protocol/manuscript development.
- Study design and execution.
- Cross‑functional team collaboration.
- Tracking and updating work in software such as Jira or Azure Dev Ops.
Minimum Qualifications
- Master’s degree in Biostatistics, Epidemiology, Data Science, Bioinformatics, or related field with 5–8 years of relevant post‑graduation experience, or Ph.D. 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
- Oncology Specific: Experience in oncology observational studies, Flatiron and…
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