Principal Biostatistician (Biomarker Analyst)

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.

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 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.

Job Responsibilities

• Collaborates with representatives from other functions to plan, execute and analyze all biomarker aspects (including genomics and devices) of clinical studies or biomarker studies in the role of the biomarker statistician and assumes the role of project biomarker statistician under guidance of an experienced statistician.
• Develops the Biomarker Evaluation Plan for the study as appropriate, ensuring overall consistency within and between projects.
• Facilitates the overall organization and coordination of statistical activities regarding biomarker research and development activities for specific studies and projects.
• Conduct and design advanced data analysis for genomics and biomarker statistics, including statistical programming, and design complex analysis algorithms.
• Assumes responsibility for the production and accuracy of the Biomarker Evaluation Report with respect to statistical deliverables and interpretation of the results.
• Works independently at routine and complex statistical questions and tasks.
• Develops and implements standard processes for the analysis of routine (parts of) biomarker assessments.
• Serves as a statistical department resource, mentors biostatisticians on job skills, and oversees or develops training plans or materials for Biostatistics associates.
• Conducts training sessions, or otherwise trains new hires and enhance the skills of existing personnel.
• Directs the activities of other biostatistics personnel on assigned projects to ensure timely completion of high quality work.
• Provides independent review of project work produced by other biostatisticians in the department.
• Provides support across all statistical tasks during the lifecycle of the project, from protocol to CSR.
• Prepares or oversees the preparation of Statistical Analysis Plans (SAPs), including development of well-presented mock-up displays for tables, listings, and figures.
• Creates or reviews programming specifications for analysis datasets, tables, listings, and figures.
• Reviews SAS annotated case report forms (CRFs), database design, and other study documentation to ensure protocol criteria are met and all data is captured as required to support a high quality database and the planned analysis.
• Implements company objectives, and creates alternative solutions to address business and operational challenges.
• As biostatistics representative on project teams, interfaces with other departmental project team representatives.
• Conducts and participates in verification and quality control of project deliverables, ensuring that output meets the expected results and is consistent with analysis described in the SAP and specifications.
• May lead complex or multiple projects (e.g. submissions, integrated analyses), and attend regulatory agency meetings or responds to questions, as needed, to support the statistical analysis results of clinical trials on behalf of the sponsor.
• Manages scheduling and time constraints across multiple projects, sets goals based on priorities from management, discusses time estimates for completion of study related activities with biostatistics management, adapts to timeline or priority changes by reorganizing daily workload, and proactively communicates to biostatistics management any difficulties with meeting these timelines.
• Monitors progress on study activities against agreed upon milestones and ensures the study timelines for project deliverables are met.
• Identifies out of scope tasks and escalates to management.
• Provides statistical programming support as needed.
• May participate in Data Safety Monitoring Board (DSMB) and/or Data Monitoring Committee (DMC) activities, including charter development and serving as an independent non-voting biostatistician.
• Maintains well organized, complete, and up-to-date project documentation, and verification/quality control documents and programs; ensuring inspection readiness.
• Displays willingness to work with others and assists with projects and initiatives as necessary to meet the needs of the business.
• Supports business development activities by contributing to proposals, budgets, and attending sponsor bid defense meetings.
• Performs other work-related duties as assigned.

Qualifications

• Strong knowledge on Biomarker evaluation, esp. In Oncology, ctDNA data, relevant parameters and underlying biology.
• Graduate degree in biostatistics or related discipline.
• Extensive experience in clinical trials or an equivalent combination of education and experience, demonstrated by the ability to lead multiple projects and programs of studies.
• Proficiency in programming.
• Ability to apply extensive knowledge of statistical design, analysis, relevant regulatory guidelines, and programming techniques utilized in clinical research and to effectively communicate statistical concepts.
• Experience across all statistical tasks required to support clinical trials during the lifecycle of the project, from protocol to CSR.
• Experience with regulatory submissions preferred.
• Excellent written and verbal communication skills.
• Ability to read, write, speak, and understand English.

Minimal travel may be required.