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

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

Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.

Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape.

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 deliver – for one another, our customers, and, most importantly, for those in need.

Discover what your 25,000 future colleagues already know:

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 building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life.
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.

Job Responsibilities

• 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 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
• Technical Expertise

o 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.

o Experience in more complex programming, such as propensity score analysis, lines of therapy, Sankey diagram, machine learning

o Experience with complex statistical programing, such as propensity score matching

o 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

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

o 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

o Knowledge of US/international data sources

o 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

o Statistical analysis plan development

o Protocol / manuscript development

o Study design and execution

o Cross-functional team collaboration

o 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

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• 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 ConcertAI, understanding of programming logic in lines of therapy
• Molecular Epi Specific:

o CCloud-based SQL is desirable

o Experience with Clinico-genomic multi-modal da