BioMarin is the world leader in delivering therapeutics that provide meaningful advances to patients who live with serious and life-threatening rare genetic diseases. We target diseases that lack effective therapies and affect relatively small numbers of patients, many of whom are children. These conditions are often inherited, difficult to diagnose, progressively debilitating and have few, if any, treatment options. BioMarin will continue to focus on advancing therapies that are the first or best of their kind.
BioMarin’s Research & Development group is responsible for everything from research and discovery to post-market clinical development. Research & Development 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 rare diseases. Come join our team and make a meaningful impact on patients’ lives.
This role is responsible for
MSc or PhD in life science discipline (e.g., statistics, biostatistics, epidemiology, health economics, outcomes research, public health, or similar field).
PhD degree preferred.
Demonstrated experience effectively collaborating with cross-functional teams, managing project scope, and driving delivery in an evolving environment requiring proactivity, effective problem-solving, and prioritization.
Demonstrated in-depth knowledge of RWE / observational research / HEOR / MA work flow and processes; including but not limited to protocol development, statistical programming, data management, quality control, and study report preparation workflow.
Demonstrated track record of developing and executing statistical analysis plans and/or overseeing external vendor work in support of RWE / Observational Research / HEOR / MA work, including but not limited to disease understanding, burden of illness, natural history of disease, and post marketing requirements for regulators, payers and clinicians.
Demonstrated excellent communication skills.
Demonstrated skills to work independently to effectively deliver robust, timely, high-quality analytics in a constantly changing, diverse, and matrix environment.
Demonstrated experience working hands-on with data, and proficient in manipulating large, complex datasets.
Demonstrated knowledge of advanced theoretical and applied statistics.
Demonstrated in-depth knowledge of statistical analysis methods on real world data in support of RWE / observational research / HEOR / MA programs.
Demonstrated solid programming skills (e.g., SAS or R).
Demonstrated ability to lead, motivate, and mentor internal and external resources.
Demonstrated ability to effectively review documents.
Demonstrated knowledge of FDA, EMA and ICH regulations and guidelines, including good pharmacovigilance practices (GVP).
Demonstrated knowledge of Guidelines for Good Pharmacoepidemiology Practice (GPP) and HTA requirements and guidelines.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law