Sr Biostatistician

Sr Biostatistician - Biomarker (EMEA Remote)

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 to address modern market realities. Our Clinical Development model centers the customer and the patient, and we continually seek ways to simplify and streamline our work. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers to help our customers achieve their goals. We are agile and driven to accelerate 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 are continuously building the company we all want to work for and our customers want to work with. Diversity of thoughts, backgrounds, cultures, and perspectives helps create a place where everyone belongs.

Job Responsibilities

• Collaborates with representatives from other functions to plan, execute and analyze all biomarker aspects (including genomics) of clinical studies or biomarker studies in the role of the biomarker statistician and as project biomarker statistician under guidance of an experienced statistician.
• Develops the Biomarker Evaluation Plan for the study, ensuring overall consistency within and between projects.
• Provides statistical input in clinical development discussions, and usage of AI and ML approaches.
• Facilitates the organization and coordination of statistical activities regarding biomarker research and development for specific studies and projects.
• Conducts and designs advanced data analysis for genomics and biomarker statistics, including statistical programming and design of complex analysis algorithms.
• Experience with RNA, OLink and other biomarker data handling.
• Assumes responsibility for the production and accuracy of the Biomarker Evaluation Report with respect to statistical deliverables and interpretation of results.
• Works independently on routine and complex statistical questions, modeling and tasks.
• Develops and implements standard processes for the analysis of routine biomarker assessments.

Qualifications

• PhD or MSc in Biostatistics, Statistics or Mathematics, or related field.
• Strong communication and interpersonal skills.
• Ability to work independently as well as collaboratively, with minimal supervision.
• Experience with AI and ML approaches.
• Previous experience in independently leading biomarker studies is mandatory.
• Previous clinical trial experience; industry experience is preferred.
• Strong knowledge of Biomarker evaluation, especially in immunology and infections, type I diabetes, relevant parameters and underlying biology.
• Good knowledge of statistical programming languages including R (Bioconductor and related packages for genetic data) and Python.

Additional Information

• Summary: Hiring in select Europe countries only. This position leads projects across multiple studies or programs. A Senior Biostatistician acts as the primary contact with the sponsor for all biostatistics activities on assigned projects. This project will focus on Biomarker data.
• Tasks, duties, and responsibilities as listed are not exhaustive. The Company may assign other tasks at its sole discretion. Equivalent experience, skills, and/or education will be considered. Nothing herein should be construed as an employment contract. The Company complies with applicable laws and obligations in each country of operation, including the EU Equality Directive, and the Americans with Disabilities Act with reasonable accommodations when appropriate.