Job Description At Horizon Therapeutics, we define success by the number of lives touched, lives changed, and lives saved. Our global biotechnology company is made up of agile, out-of-the-box thinkers with a focus on delivering breakthrough medicines to those living with rare, autoimmune, and severe inflammatory diseases. This is the heart of our global mission. Start a career that enables you to live up to your potential and help others live up to theirs. Join us. The exceptional support we provide patients and communities equally extends to our employees. We offer industry-leading and award-winning benefits, compensation and rewards programs that positively impact all areas of our employees' personal and professional lives. Position Summary: The Associate Director, Data Science is responsible for leading a team of data scientists that build impactful AI/ML models and generate insights that transform our business. As a leader, they should have expert knowledge in the pharma/healthcare AI space and be attuned to where the industry is heading. This role will leverage cutting edge data science technologies and methods to help business leaders across the company make appropriate data-driven decisions and optimize activities. The Associate Director, 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 model rollout. The Associate Director, Data Science will collaborate with other stakeholders across the business to evaluate opportunities and drive growth for our brands. Most importantly, this role will develop, inspire, and support junior team members so they can reach their full potential. Responsibilities: Lead, develop, and inspire junior team members, both as direct and indirect reports, and train others on using AI/ML within pharma Implement and manage AI/ML models for use cases such as sales lead generation/targeting, spend optimization, segmentation, referral network analysis, customer churn Continually advance the level of AI/ML sophistication the data science team employs and ensure the use of cutting edge tools and approaches - publish results in relevant journals Triage and manage descriptive analysis requests to offshore and/or consulting resources Create insightful visualizations and presentations that help non-technical colleagues make sense of complex solutions Proactively identify business opportunities for data science to solve unmet business needs Develop a deep understanding of available data sources, including capture methodologies, business operations, and manage appropriate data science solutions accordingly Foster a collaborative, positive and intellectually curious environment that encourages everyone to deliver their best work Qualifications Required: BA/BS in Statistics, Operational Research, Computer Science, physics, biology, or other quantitative discipline Advanced degree in a relevant technical field preferred but not required 5 years of relevant data science experience with increasing responsibility Demonstrated ability to lead, mentor, and develop junior data scientists Experience with healthcare data, ideally in the pharma space, highly preferred Track record of innovating through machine learning and statistical algorithms and their applications Skills Required: Ability to manage multiple projects with shifting priorities and deadlines Capable of translating data science into actionable insights and strategy Exceptional problem solving skills and a growth mindset Strong communication skills (verbal and written); proven ability to work cross functionally and liaise across a complex set of stakeholders Proven experience with the PyData stack, (Python, pandas, sci-kit learn) and distributed computing technologies for machine learning, such as Apache Spark and Linux Our Values Transparency: We value collaboration. Trusting teach other and tackling tough challenges can make a powerful difference. Accountability: We do what's right for our patient communities through quality decisions and owning our successes and failures. Growth: We fiercely innovate and evolve to better ourselves, our communities and our patients. These three values come to life through our five Leadership Expectations that apply to all Horizon employees Enterprise Mindset: Look beyond one's team, brand or function to see the broader company and external perspective Exhibit Intellectual Curiosity: Seek to understand what you do not know; ask the right questions of the right people and sources Ensure Accountability and Courage: Step up to address difficult issues and hold self and others accountable to commitments Embrace Diverse Perspectives: Welcome others with a respectful attitude; integrate diverse perspectives into ways of working Develop Talent: Provide feedback, coaching and mentorship to help others be more effective in their role At Horizon, we know that disease does not discriminate. We embrace the bold ideas of one another, foster a sense of belonging, and value inclusion. We attract and develop diverse talent because we believe that when people from different backgrounds and life experiences come together, we make lives better. Horizon intends that all qualified applications are given equal opportunity, and that selection decisions be based on job-related factors. We do not discriminate based on race, color, religion, gender, sexual orientation, national origin, age, disability, veteran status, or any other characteristics protected by law.