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Data Science Manager

Data Science Manager

Chiesi GroupBoston, MA, US
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Who we are looking for

Purpose

Chiesi Global Rare Diseases division currently has an opening for a newly created role of Data Science Manager, reporting to the Head of Commercial and Operational Excellence - Rare Disease.

The role is responsible for the application of advanced analytics to claims datasets and the synthesis of insights. This role will leverage cutting edge data science technologies and methods to help business leaders across the company make appropriate data-driven decisions. The role will play a key role in identifying opportunities for machine learning and will be an advocate for the power of data science. The role involves the full lifecycle from ideation to requirements elicitation, design, implementation, and rollout of solutions. The role will collaborate with other stakeholders across the business to evaluate opportunities and drive growth for our brands.

This role is based in our office in Boston, MA office, with the flexibility to work from home. Candidates must be available to visit the Boston office as needed.

Main Responsibilities

  • Develop a deep understanding of available data sources, including data capture methodologies, sampling requirements, and descriptive statistics
  • Implement advanced analytics in support of our commercial teams, including explorative applications of machine learning, deep learning, and artificial intelligence
  • Utilize machine learning to build predictive models
  • Ability to build and fine tune algorithms that scale up from small-scale proof-of-concept stage to full production systems
  • Develop automated capabilities which enable the application of machine learning and AI across the Business Unit
  • Create insightful visualizations that can help a non-technical audience make sense of complex datasets
  • Proactively identify business opportunities for leveraging data science and data mining efforts to solve unmet medical needs; support the analysis of claims data to generate market insights
  • Identify and shape business challenges and opportunities into analytical, data lead solutions, ranging from scoping and evaluating data opportunities to developing data-driven insights, data models and recommendations to fuel strategic growth
  • Support ad hoc projects and tasks as needed
  • Support the Therapeutic area of election
  • Provide analytics support to RWE team
  • Work on support and provide insight for the whole BU in spite of the region or country in which the data is from

Experience Required

  • 5+ years’ experience in predictive modeling, deploying algorithms in a production environment
  • Hands on experience with data mining, its concepts, techniques, and implementation
  • Track record of innovating through machine learning and statistical algorithms and their applications
  • Experience in biotech / pharmaceuticals preferred
  • Direct experience claims data analysis is a plus
  • Knowledge and familiarity with deep learning and its use is a plus
  • Expert at Microsoft Office (Word, Excel, PowerPoint, Outlook)
  • Programming language proficiency (i.e., Python, R, SQL, C++, etc.)
  • Ability to manage multiple projects in an ambiguous environment with shifting priorities and time-pressure
  • Ability to translate data analysis into actionable insights and strategy
  • Excellent problem-solving capabilities
  • Strong communication skills (verbal and written); proven ability to work cross functionally and liaise across a complex set of stakeholders
  • Education

    BA / BS in Statistics, Operational Research, Computer Science, or other quantitative discipline

    Chiesi USA is an equal opportunity employer committed to hiring a diverse work force at all levels of our business.  All qualified applicants receive consideration for employment without regard to race, national origin, age, sex, religion, disability, marital status, veteran status, any other basis protected by local, state or federal law. This policy applies with regard to all aspects of one’s employment, including hiring, transfer, promotion, compensation, eligibility for benefits and termination.

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    Data Science Manager • Boston, MA, US