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Principal biostatistician (rshiny - emea & us based)

London
Syneos Health
Biostatistician
Posted: 8 September
Offer description

Overview

Principal Biostatistician (Rshiny - EMEA & US BASED)

Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate clinical, medical affairs and commercial insights into outcomes. Our Clinical Development model centers on the customer and the patient, with agile collaboration to accelerate delivery of therapies.

We pursue a culture that supports development, diversity of thought, and a collaborative environment across Functional Service Provider partnerships or Full-Service environments.


Why Syneos Health

* We develop our people through career development, training, and rewards programs.
* We promote a Total Self culture and take care of our people.
* We value diversity of thoughts, backgrounds, cultures, and perspectives to foster belonging.


Job Responsibilities

* Submit all CVs in English and be located in the US, UK, Ireland, Poland, Spain, Greece, Hungary, Belgium, Romania, Ukraine, South Africa, Argentina, Mexico, Brazil, or Colombia.
* Principal Biostatistician – RShiny specific responsibilities include: set up and maintain an excellent R-based computing environment, add features and fix bugs in apps, evaluate data visualization tools, integrate internal/external apps, organize user trainings, provide user support, stay current with global technical possibilities, and apply strong R/R-shiny expertise with data programming experience.
* Lead statistical activities on projects; mentor biostatisticians; plan training and staff development; ensure timely, high-quality work; provide independent review of colleagues’ outputs.
* Support all statistical tasks from protocol through CSR; prepare SAPs and mock-ups for tables, listings, and figures; collaborate with sponsor as required.
* Lead or contribute to the statistical aspects of protocols, randomization inputs, and clinical study reports; create or review programming specs for analysis datasets, tables, listings, and figures.
* Review study documentation, ensure protocol criteria are met, and support data integrity for high-quality databases and analyses.
* Implement company objectives and develop solutions for business and operational challenges; interface with project team members and participate in internal meetings.
* Coordinate verification and quality control of deliverables; lead complex projects and support regulatory interactions as needed; manage timelines and communicate progress and risks to management.
* Provide statistical programming support as needed; may participate in DSMB/DMC activities as required.
* Maintain documentation, inspection readiness, and contribute to proposals and sponsor bid defenses as part of business development; perform other duties as assigned.
* Minimal travel may be required.


Qualifications

* Previous RShiny experience is required.
* PhD or MS in biostatistics, statistics, mathematics, or data science with strong computing/informatics emphasis.
* At least two years of experience as a statistician in the Pharma/Biotech sector.
* Excellent R and R-shiny knowledge; thorough experience with clinical data structures and programming.
* Expertise in functional and object-oriented programming; knowledge of Javascript/Typescript, HTML, WebGL; experience in CUDA/GPU programming, cloud computing, GitHub, and web hosting.
* Strong communication skills; ability to work independently and collaboratively; team player; fluency in English.


Get to know Syneos Health

Over the past 5 years, we have worked with 94% of Novel FDA Approved Drugs, 95% of EMA Authorized Products, and 200+ studies across 73,000 sites and 675,000+ trial patients. We invite initiative and collaboration in a dynamic environment. Learn more at syneoshealth.com.

Note: This description may include information about our current business practices and opportunities as of the posting date; it does not guarantee future openings, and roles may evolve over time.

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