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Syneos Health · 3 weeks ago

Sr Biostatistician-Sr Data Scientist/Analyst (US and UK Only)

United States

Full-time

Remote

Senior Level

$81K/yr - $145K/yr

5+ years exp

Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. The role involves leading the development of analysis specifications and conducting analyses for Real World Data research while ensuring quality standards and methodological rigor across projects.

BiotechnologyHealth CarePharmaceuticalTherapeutics

No H1B

Responsibilities

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 programing 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

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 programing, 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 RSubject Matter Expertise

Understanding of epidemiology / outcomes research, experience with study design and execution, Biomarker/genomic data sources

Experience with healthcare databases:

Claims (examples include Optum, MarketScan, Pharmetrics+, HealthVerity, 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 (reviewing, contributing to technical review and suggesting edits, executing) in the following are expected

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)

Qualification

Statistical programmingReal World Data analysisMachine learning methodsHealthcare databasesEpidemiology expertiseTechnical specificationsProject managementBest practices developmentCross-functional collaborationCommunication skills

Required

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

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

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, MarketScan, Pharmetrics+, HealthVerity, 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 (reviewing, contributing to technical review and suggesting edits, executing) in the following are expected: 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)

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

Preferred

Oncology Specific: Experience in oncology observational studies, experience in Flatiron and ConcertAI, understanding of programming logic in lines of therapy

Molecular Epi Specific: Cloud-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, burden of illness studies, and comparative effectiveness research