Director, Data Science - Ophthalmology
The Director, Data Science (Ophthalmology) role is a part of the Insights & Analytics team under Commercial Strategy.
In this role, a typical day might include:
As a part of the team, the role will collaborate with business partners, service owners and IT peers to develop predictive and prescriptive models and insights for Ophthalmology CBU within US Commercial Organization. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques to help Regeneron with its mission of getting patients the therapies they need.
This role might be for you if you can:
Leveraging data science, machine learning, and artificial intelligence capabilities drive marketing and sales execution effectiveness for the Ophthalmology CBU.
Contributing to cross functional teams (Insight & Analytics organization) on projects and/or programs with aims to derive integrated insights that deliver substantial business value to Ophthalmology CBU patients.
Identifying business needs and proposing potential analytics approaches for solutions.
Manage high performing internal/external analytics team to ensure key projects are delivered with timely and key business insights/actions.
Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python, R, SAS, SQL and/or other tools.
Creating prototypes and demonstrations to better access and utilize data assets.
Collaborating cross-functionally with stakeholders to develop use cases that are relevant to the business.
Responsible for managing and maintaining promotional response models and lead marketing mix and attribution modeling work.
Presenting analysis ideas, progress and results to business partners.
Ensuring systems meet business requirements and industry best practices,
Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets.
To be considered for this opportunity, you must have the following:
Master's degree completed by start date and 10+ years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Bachelor’s degree and 12+ years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience
Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
7+ years of data science and analytics experience
Experience with databases including relational, NoSQL, and Graph
Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, Keras, TensorFlow, Pytorch, etc.
Write well-abstracted and reusable code in Python, R, or Scala; freely navigate in Linux environment; stand up web applications; documentation, version control, and code review
Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills
Excellent organization/planning skills and talent for managing many large and complex datasets
Ability to set up analytics bench/infrastructure to build data science capabilities
Provide analytics guidance for brand performance analytics and internal team members
Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
Ability to communicate analysis in a clear, precise, and actionable manner
Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
Passion for learning and staying on top of current developments in advanced analytics
Biotech / Pharma experience required
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels!
Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.
For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.
Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.
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