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High-performing, high-impact tactical and strategic position requiring outstanding technical and people skills to bring in contemporary data science perspectives in order to foster quantitative thinking and decision-making grounded in data across the enterprise. As a Transdisciplinary Data Scientist, you will elevate BioMarin’s use of data. You will bring quantitative thinking and statistical analysis to challenges in potentially any area of the company. You will collaborate with multi-disciplinary teams—potentially comprising clinical scientists, non-clinical researchers, pharmaceutical regulatory experts, manufacturers, biotechnology marketers, statisticians, epidemiologists, finance staff, human resource personnel, management, etc.—on a wide range of problems. Thus a key aspect of the position is to be able to interface with counterparts with a wide range of professional backgrounds and varying aptitude with the technical aspects of data analysis, and to provide those partners with data analyses and interpretations they can understand and act upon. An important function of the position is education, equipping collaborators to understand and utilize their own data, productively and with methodological rigor. In short, the Transdisciplinary Data Scientist will advance BioMarin’s capability to turn data into information that informs decisions. The position is high-visibility, high-impact, and comes with high expectations to demonstrate value from data analysis.
Exhibit solid understanding of core statistical concepts and advanced methods while at the same time favoring simplicity and exhibiting flexibility in how to approach data
Carry out hands-on the full process of conducting analyses: conceptualization and planning, data gathering, statistical analysis, interpretation of results, and reporting and presentation. Supervise teams to do the same
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
Requirements:
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
Quantitative skills
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.) including understanding of their real-world advantages and drawbacks
Ability to manipulate and make best use of complex, messy data sets
Mastery of effective presentation of data, particularly data visualization
Aptitude to learn new quantitative methods
Proven ability to marshal quantitative and interpersonal skills to draw useful insights from data
Experience articulating cross-disciplinary business questions and using statistical analyses to arrive at actionable answers
Proven ability to work in as well as lead cross-functional teams including key non-technical stakeholders
Enthusiasm and ability to teach including audiences with and without technical backgrounds
Demonstrated leadership and self-direction
Exceptional written and verbal communication skills
Demonstrated drive to learn and master new technologies, techniques, business areas
Flexibility to adapt quantitative approaches to new situations
Eagerness to learn about BioMarin’s science and business operations
Proven track record in creative problem solving leading to practical solutions
Basic familiarity with biotechnology research and the pharmaceutical industry
Nice to have:
Coding knowledge and experience (C, C++, Java, JavaScript, etc.)
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.)
Ability to architect data structures
What we offer:
discretionary annual bonus
discretionary stock-based long-term incentives
paid time off
company-sponsored medical, dental, vision, and life insurance plans