Data Scientist, Medical Research

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 Data Science team at Horizon Therapeutics is looking for an extraordinary data scientist who is passionate about crafting, developing, and fielding data science solutions that drives impact for patients. The Data Scientist, Medical Research will partner with Horizon's various medical teams (Med Affairs, R&D, Commercial Development) to develop insights and understanding from data.

This role will leverage cutting edge data science technologies and methods to help produce health outcomes publications, as well as uncover deeper insights about how our life-changing medicines are being used. The Data Scientist will be a key functional contributor, and must understand the medical landscape surrounding our products, as well as the analytics techniques necessary to produce publishable insights.

They should be comfortable working with large, complex, and noisy datasets. The data scientist will automate recurring deliverables, manipulate transactional data to usable formats, and present clear visualizations.

Responsibilities and Skills Required:

Develop a deep understanding of available data sources, including data capture methodologies, sampling requirements, and descriptive statistics

Implement advanced analytics in support of our Medical Affairs, R&D, and Commercial Development teams, including applications of machine learning and statistically sound research

Create insightful visualizations that can help a non-technical audience make sense of complex datasets

Proactively identify opportunities for leveraging data science to solve unmet medical needs

Transform uncovered analytics insights into medical publications

Support ad hoc data projects and tasks as needed

Ability to manage multiple projects in an ambiguous environment with shifting priorities and time-pressure

Excellent problem solving capabilities

Attention to detail - this role will be helping to product publishable medical abstracts

Strong communication skills (verbal and written); proven ability to work cross functionally and liaise across a complex set of stakeholders

Qualifications Required:

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

Master's degree preferred but not required

Health outcomes research experience strongly preferred, particularly using large claims datasets

Track record of innovative thinking with machine learning and statistical algorithms

Proven experience with the Py

Data 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

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.