Sr Manager, Data Science

Application deadline date has been passed for this Job.
Horizon Therapeutics
Horizon Therapeutics

Job Overview

Working at Horizon is more than a job – it’s personal. For us, success is measured by the numbers that matter most – the number of lives we touch, the number we change and those we work tirelessly to help save. We’re a team of agile, out-of-the-box thinkers who are inspired to do more because we know we’re a part of something bigger. We strive to build meaningful careers at a company whose values we share because when we live up to our potential, we help others live up to theirs.

Position Summary:

The Sr. Manager, Data Science 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 Sr. Manager, Data Science 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 Sr. Manager, Data Science will collaborate with other stakeholders across the business to evaluate opportunities and drive growth for our brands.

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 for application in patient support programs
  • 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 across Horizon’s portfolio of medicines
  • Create insightful visualizations that can help a non-technical audience make sense of complex datasets
  • Proactively identify business opportunities for leveraging data science 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
  • Day to day support and point of contact for Data Scientists and Data Engineers
  • Support ad hoc projects and tasks as needed

Qualifications and Skills Required:

  • BA/BS in Statistics, Operational Research, Computer Science, or other quantitative discipline
  • Master’s degree preferred but not required
  • 5-7+ 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
  • Proven experience with the PyData stack, (Python, pandas, sci-kit learn), distributed computing technologies for machine learning, such as Apache Spark and Linux
  • Experience in biotech / pharmaceuticals preferred but not required
  • Direct experience with forecasting and / or claims data analysis is a plus
  • Knowledge and familiarity with deep learning and it’s use in time series applications; implementation of LSTM neural networks a plus
  • Expert at: Microsoft Office (Word, Excel, PowerPoint, Outlook)
  • 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

Horizon Core Values & Competencies:

Growth

  • Manages Ambiguity
  • Strategic Mindset
  • Demonstrates Self-awareness
  • Cultivates Innovation
  • Develops Talent

Accountability

  • Drives Results
  • Ensures Accountability
  • Decision Quality

Transparency

  • Courage
  • Collaboration
  • Instills Trust

Horizon Therapeutics plc does not discriminate on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. It is our intention that all qualified applications are given equal opportunity and that selection decisions be based on job-related factors. Any individual, who, because of a disability, needs accommodation or assistance in completing this application or at any time during the application process, should contact the Human Resources Department.Sr Manager, Data Science 1

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