BioMarin is looking to elevate its use of data by bringing in contemporary data science perspectives to foster quantitative thinking and decision-making grounded in data across the enterprise
Requirements
- Expertise with hands-on data analysis including programming (SAS, R, Python, SQL, etc.)
- Demonstrated knowledge of core statistical and data science concepts and principles
- Basic familiarity with statistical methods common in clinical research such as linear models, multivariate analysis, longitudinal data analysis, categorical data analysis, and study design
- Applied experience with a variety of machine learning and data mining techniques (linear models, clustering, decision trees, random forests, boosting, neural networks, text mining, scenario analysis, simulation, etc.)
- Coding knowledge and experience (C, C++, Java, JavaScript, etc.) preferred
- Experience using Web services (Redshift, S3, Spark, DigitalOcean, etc.), third party data providers (Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.), and distributed data/computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.) preferred
- Ability to manipulate and make best use of complex, messy data sets
Responsibilities
- Work with unique, complex, messy data sets
- Solve difficult, unusual analysis problems, applying advanced analytical methods as needed
- Carry out hands-on the full process of conducting analyses: conceptualization and planning, data gathering, statistical analysis, interpretation of results, and reporting and presentation
- Design and plan data collection and analysis to answer business questions
- Interact effectively with cross-functional counterparts: understand their problems, formulate practical, actionable approaches, and communicate the solutions effectively
- Exhibit exceptional communication skills including report-writing and presentation
- Educate counterparts with widely varying functional roles and technical backgrounds on concepts of data science to equip them to effectively utilize their own data
Other
- Master’s (minimum) or PhD (strongly preferred) in a quantitative discipline (data science or closely related field)
- 5+ years of work experience in data analysis
- Demonstrated leadership and self-direction
- Exceptional written and verbal communication skills
- Proven ability to work in as well as lead cross-functional teams including key non-technical stakeholders
