Manager, Data Science

Description

Data is our new energy. Syneos Health is looking for a data scientist who can contribute to improving the health and lives of patients and advancing medicines through data creation and modeling connected to discovery, consulting, and service development. Syneos Health will help grow and expand your career. You are a competitive, proactive, and passionate individual for business growth and creation. You have skills in data engineering, data analysis, and modeling. You have experience in strategically thinking about complex customer organizations of all sizes and understanding how to extract growth opportunities in these customers through strong prospecting skills combined with deep interest, expertise, and industry networks. You can think about how Syneos' unique data services can be integrated across the commercial business as a whole to solve clients' challenges. You have the ability to build your networks and maximize their value to grow the business.

We are looking for ambitious contributors with an innovative mindset who take responsibility for generating new data and business. In this role, you will build data science capability on behalf of Syneos Health Commercial Solutions, provide as a consulting and analytical service to the clients.

Key Responsibilities:

The performance of this role will have an impact on Syneos Health's business success in three important areas: 1) creating new data service capability in Japan primarily, 2) providing advisory and data analysis work with our consulting team, and 3) providing data engineering and modeling for clients with the other regional data science team and vendors.

Specific Responsibilities for this role include:

• Create a roadmap to grow data as an asset to power data science and analytics capabilities. Leverage these capabilities to attract customers and identify strategic business opportunities

• Oversee the development and coding of software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.

• Create a framework to translate data insights into actionable steps. Monitor and adapt metrics based on changes in business priorities

• Lead governance of the digital data assets, including development of governance plan and structure

• Communicate and collaborate across other internal functions for maximum business outcome.

• Report on data analytics activities to customer entities, incorporating novel reporting and data visualization techniques

• Perform as a strategic thought leader for Data Science and cross-functional organizations

• 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. 

• Support team in presenting findings and recommendations to customers (internal and external) in a clear and concise way to drive appropriate outcomes.

• Lead best-in-class Data Centre of Excellence. Mentor and coach the other team members across the business.

Requirements: 

• Curiosity, and the ability to turn that curiosity into action, with the power of execution.

• Proficiency with a programming language (e.g., Python, R).

• Able to influence and unify the direct team and peers, as well as interact effectively as a strategic partner with senior management.

• Wide knowledge of the commercial business of the pharmaceutical or related industry is a plus.

• Strong data analysis and data modelling skills, good knowledge of statistics. At least 10-year work experience in the data business is required.

• Detailed understanding of how data science models are developed.

• Proven experience leading a high performing team and working across multiple stakeholders to deliver results while educating and growing team members. Global experience is preferred.

• Ability to communicate data insights and data science concepts to senior technical and non-technical internal stakeholders and external clients.

• Excellent perception and problem-solving skills, as well as the ability to quickly recognize opportunities.

• The ability to work independently while maintaining commercial leadership and communication in real-time.

At Syneos Health, we are dedicated to building a diverse, inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to apply anyway. At times, we will consider transferable skills from previous roles. We also encourage you to join our Talent Network to stay connected to additional career opportunities.

Why Syneos Health? We partner with industry experts to solve and execute against today’s toughest commercialization challenges facing the world’s leading healthcare companies. The diversification and breadth of our new and existing partnerships create a multitude of career paths and employment opportunities on our Commercial Operations and Leadership teams. Join our game-changing, global company dedicated to creating better, smarter, faster ways to get biopharmaceutical therapies to patients. Experience the thrill of knowing that your everyday efforts are contributing to improving patients’ lives around the world. 

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