Associate Director, Data Science

United States
12 Jan 2021
11 Feb 2021
Full Time
Contract Type
Experience Level

Role Description:

We are looking for enthusiastic and talented individuals who thrive on challenge and change, and who want to make a difference through the delivery of results.

The Data Science Lead will define the technology vision and design the data science, analytics, and machine learning capabilities for the Company. They will be the key driver behind the R&D Data Factory, and will be helping us to solve our customer’s problems within an Agile team. They will have responsibility for the design and delivery of data science and machine learning projects, supporting business transformation, and working with customers.


  • Experience with Spotfire or comparable tool for Analytics, Dashboards, and Reports to support R&D.
  • Establish machine learning tools and capabilities.
  • Establish machine learning tools and capabilities.
  • Establish a cloud-based data platform.
  • Establish natural language processing tools and capabilities for applications such as RWE.
  • Maintain a pulse on industry technology trends/initiatives and communicate to appropriate business and IS staff.
  • Serve as a thought leader and change agent to drive results.
  • Expert level knowledge of Data Science best practices and application of those practices within the pharma industry
  • Leverage previous experience implementing an Data Science solutions in the Life Sciences industry to streamline the process the business.
  • Apply knowledge of the pharmaceutical industry, maintain awareness of the competitive environment, and exhibit knowledge seeking and sharing best practices.
  • Manage delivery team for Data Science service consisting of consultants and managed service providers
  • Provide hands-on leadership Data Science projects
  • Manage internal/external team members in executing the project management & software development lifecycles, driving adoption, and measuring the value/ effectiveness of implemented systems & processes.

Required Experience:

  • Experience leading the design and delivery of data science and machine learning solutions that transform ways of working and deliver measurable benefit.
  • Experience of taking a project from an initial concept through to deployment in a production system.
  • Create and maintain technical roadmaps and take ownership for data science direction.
  • Experience of championing innovation in data science team and machine learning.
  • Deploying data science tools to cloud platforms (e.g. AWS, Azure).
  • Develops strong partnerships with R&D in order to have full transparency and joint ownership of the technology strategy and progress towards it.
  • Being a technical authority for data science and machine learning.
  • Experience with Agile. Certified Scrum Master (SCM) preferred. 

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