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BioSpace

Sr. Manager/Associate Director, Quantitative Science

BioSpace, San Rafael, California, United States, 94911

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Sr. Manager/Associate Director, Quantitative Science

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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.

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.

Summary As the Senior Manager or Associate Director of Quantitative Science, you will assume the role of a statistician/data scientist and play a pivotal role in supporting different functional areas. This influential and self‑sufficient position will make significant contributions to drug discovery, nonclinical research, preclinical research, experimental medicine, biomarker development, clinical development, post‑approval/medical areas, real‑world data/real‑world evidence (RWD/RWE), genomics, business development, and manufacturing. Your primary responsibility will be to ensure excellence in the design, analysis, interpretation, and communication of data. Additionally, you will actively engage with counterparts to foster collaboration and champion the use of quantitative thinking.

Broad subject matter expertise in statistics and data science with hands‑on experience in application in diverse areas

Proficiency in statistics, advanced data science, and programming

Ability to develop fit‑for‑purpose statistical methodologies and software tools is a plus

Exceptional communication/interpersonal skills

Responsibilities

Perform statistical experimental design, analysis, interpretation, and reporting, including for example

Estimate sample size and aid in study design including conducting simulations

Conceptualize solutions to unique challenges and develop analysis methods and analysis programs accordingly

Explore and develop the use of artificial intelligence (AI) and machine learning (ML)

Write statistical analysis reports and give presentations

Develop statistical applications that enable researchers to analyze repetitive experiments

Conduct outreach to internal functions, establishing collaborations and providing education to identify opportunities to apply statistics and data science that positively impact the business

Provide guidance and direction to junior staff on the team

Education & Experience M.S. in Biostatistics, Statistics, Data Science, or similar field required.

Ph.D. in Biostatistics, Statistics, Data Science, or similar field preferred.

Minimum Qualifications Years of experience in pharmaceutical and/or biotech industry: A minimum of 5 (PhD) or 7 (Master’s) for associate director; A minimum of 2 (PhD) or 4 (Master’s) for senior manager.

Preferred Qualifications

Basic broad knowledge of the research, development, and associated areas in the pharmaceutical/biotechnology field

Broad knowledge of statistical methods and ability to solve problems creatively and pragmatically

Scientific curiosity and ability to learn

Exceptional consultative, conversational, written communication, presenting, collaborative, teaching, and interpersonal skills

Adaptability and ability to thrive in a dynamic, diverse, and matrixed environment

Statistics And Data Science

Hands‑on knowledge of statistical methods applicable across research and development such as time‑to‑event analyses, analysis of covariance, mixed models for repeated measures, categorical data approaches, Bayesian methods, simulation approaches, artificial intelligence (AI) and machine learning (ML), graphical methods, etc.

Hands‑on knowledge of study design and sample size calculation

Strong programming skills in at least two of SAS, R, or Python

Software Tool Development

Proficiency in or demonstrated ability to learn developing specifications and designing analysis modules to automate analysis, visualization, and reporting of standardized experiments; proficiency in documenting and supporting such systems

Supervisory

Demonstrated ability to lead, motivate, and mentor both internal and contract staff.

Effective review and evaluation skills for documents drafted by staff.

Note: This description is not intended to be all‑inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned.

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Other

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