Senior Data Scientist - Azure & Causal Analysis

Overview

Senior Data Scientist - Azure & Causal Analysis

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.
  
  

Job Summary

The Technology & Data Solutions (TDS) business unit is the Syneos Health accelerator for life sciences innovation. TDS houses our advanced technology acquisitions, homegrown products & applications, actively participates in new M&A and partnership activities, delivers critical insights as part of our integrated strategy for customers and drives enterprise-wide adoption and change management for innovative tech & data solutions. Our work supports getting meaningful new medicines to patients faster, with greater positive impact. The Senior Data Scientist supports our business goals by providing timely delivery of high-quality data science solutions and innovative products.

Core Responsibilities

• Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Interact with product and service teams to identify questions and issues for data analysis and experiments.
• Create, document, and manage templates and standard operating procedures for algorithms, code repositories, rules, manuals, and other assets.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• 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.
• Have broad expertise or innovative knowledge, use skills to contribute to development of company objectives and principles and to achieve goals in creative and effective ways.
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
• Manage configuration, curation, and cataloging of internal and external tech and data resources and ‘always-on’ data vendors to ensure timely product delivery and innovation.
• Mentor and coach junior team members across the business.
  
  

• Masters in a STEM field required, PhD preferred.
• Proficiency with a programming language (e.g., Python, R) and a database language (e.g., SQL).
• Must be organized, detail oriented and work effectively in a fast-paced environment.
• Strong data analysis and data modelling skills, good knowledge of statistics.
• Demonstrated ability to independently execute projects.
• Able to influence and unify the direct team and peers, as well as interact effectively as a strategic partner with senior management.
• Detailed understanding of how data science models are developed.
• Independent problem-solving and grit. Willingness to own one’s work, and confidence to push best practices. Strong attention to detail.
• Experience with healthcare or B2B/B2C marketing.
  
  

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 Sr Data Scientist will work on data science initiatives and guide teams through the development of models and analytical frameworks. This role is responsible for collecting, storing, and interpreting data in a meaningful and clear way for our customers.