(CW) Data Scientist

Who We Are

BioMarin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health.

Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities.

Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best – people with the right technical expertise and a relentless drive to solve real problems – and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we’ve produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options.

About Worldwide Research and Development

From research and discovery to post-market clinical development, our WWRD engine involves all bench and clinical research and the associated groups that support those endeavors. Our teams work on developing first-in-class and best-in-class therapeutics that provide meaningful advances to patients who live with genetic diseases.

CONTRACT ROLE  REMOTE Min 4 months

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.
Responsibilities
• Work with unique, complex, messy data sets.
• Solve difficult, unusual analysis problems, applying advanced analytical methods as needed.
• 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.
Qualifications
• 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, categori