Principal Data Scientist

Overview

Principal Data Scientist

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.

Every day we perform better because of how we work together, as one team, each the best at what we do. We bring a wide range of talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life®.

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.
  
  

The Technology Solutions business unit is the Syneos Health accelerator for life sciences technology and innovation. Our work supports getting meaningful new medicines to patients faster with greater positive impact. Technology Solutions homegrown products and applications, commercial off-the-shelf, and software-as-a-service products ensure all employees work in a secure environment with clean data and deliver insights as part of our integrated strategy for customers.

The Principal Data Scientist will shape the strategic vision for data science within the organization, focusing on pioneering advanced methodologies and fostering cross-functional collaboration. This role will lead complex projects, provide thought leadership, and drive research initiatives that significantly impact business outcomes. This role involves collaborating with executives to align data science efforts with broader company goals and mentoring team members.

Job Responsibilities

• Help define and execute the strategic vision for data science within the organization, aligning with long-term business goals.
• Serve as a key technical advisor, providing technical expertise and specific guidance on critical data-driven projects.
• Interact with product teams to identify questions and issues for data analysis and experiments.
• Design, develop, and implement algorithms and processes to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.
• Assist team in identifying meaningful insights from large data and metadata sources, interpreting and communicating insights and findings from analysis and experiments to product, service, and business managers.
• Create and manage templates and standard operating procedures for algorithms, code repositories, rules, manuals, and other assets.
• Have broad analytics experience or innovative knowledge and use skills to contribute to achieving company objectives in creative and effective ways.
• Work on unique issues where analysis of situations or data requires an evaluation of intangibles.
• Mentor and coach junior team members across the business.
• Represent the organization in industry conferences and forums, sharing insights and establishing thought leadership.
  
  

Qualification Requirements

• Master's degree or equivalent experience in Data Science, Computer Science, Mathematics, Statistics, or a related field. PhD is preferred.
• Proficiency with programming languages like Python, R, and SQL.
• Proficiency with source code management, development workflows, and distributed version control.
• Experience with Microsoft Azure (must have) and other data/analytics platforms from cloud service providers.
• Causal analysis, expert-level knowledge of causal inference with significant experience deploying causal models.
• Extensive experience in leading research and development of new data science methodologies.
• Must be organized, detail oriented, and work effectively in a fast-paced environment.
• Strong track record of solving complex business problems using advanced data science techniques.
• Ability to unify the direct team and peers and interact effectively as a strategic partner with senior management to influence organizational strategy.
• Strong network within the data science community and industry.
• Significant contributions to open-source data science projects, influential peer-reviewed publications, or patents in data science.
• Familiarity with data governance and compliance issues (preferred).
  
  

Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

http://www.syneoshealth.com

Additional Information

Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Summary

The Technology Solutions business unit is the Syneos Health accelerator for life sciences technology and innovation. Our work supports getting meaningful new medicines to patients faster with greater positive impact. Technology Solutions homegrown products and applications, commercial off-the-shelf, and software-as-a-service products ensure all employees work in a secure environment with clean data and deliver insights as part of our integrated strategy for customers. The Principal Data Scientist will shape the strategic vision for data science within the organization, focusing on pioneering advanced methodologies and fostering cross-functional collaboration. This role will lead complex projects, provide thought leadership, and drive research initiatives that significantly impact business outcomes. This role involves collaborating with executives to align data science efforts with broader company goals and mentoring team members.