New

Intern, AI Data Scientist

BioMarin Pharmaceutical Inc.
sick time
United States, California, San Rafael
770 Lindaro St (Show on map)
Nov 21, 2025
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. SUMMARY: The BioMarin Summer Internship Program will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, while gaining an insight into the pharmaceutical/biotech industry. Over the course of 10 - 12 weeks our interns gain industry experience while working alongside our talented team on meaningful projects. BioMarinGlobal Data Science (GDS)is responsible for designing, capturing, analyzing, and presenting data that can drive key decisions for Clinical Development, Medical Affairs, and other business areas of BioMarin. With a quality-by-design culture,GDSbuilds quality data that is fit-for-purpose to support statistically sound investigation of critical scientific questions. TheGDSteam develops solid analytics that are visually relevant and impactful in supporting key data-driven decisions across BioMarin. TheGDSData ManagementScience (DMS)group contributes toGlobal Data Scienceby providing complete, correct, and consistent analyzable data at data, data structure and documentation levels following international standards and GCP. The Data Quality Innovation (DQI) group within DMS are responsible for driving seamless data flow, quality by design, centralized monitoring and innovation. JOB DESCRIPTION : This intern position will join a group of data scientists and subject matter experts within DMS to develop AI powered solutions in various areas, including creation of the first draft of specification documents used the Study Build process and generation of testing data and scripts. This intern position will also provide programming support to standardization of CRFs. Role Responsibilities:Intern - DMS-DQI Contribute to the development of AI applications in drug research and development. Prepare training data (documents) needed for model building or prompt engineering. Develop workflows and prompts in OpenAI services. Write Python code for various applications. Required Skills: Passionate about science, collaboration, and learning new techniques. Experience in AI and machine learning models. Strong oral and written communication skills. Proficient programming skills in Python for data analysis and data wrangling. Consistent, detail-oriented, communicative, and dedicated to doing a job well done. Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.) Desired Skills: Proficient in Python programming. Experience in NLP and predictive modeling/extrapolation methodologies. Experience using LLM and prompt engineering. Qualifications/Eligibility: Master level degree candidate or a rising senior working towards a bachelor's degree; in a quantitative discipline (e.g., computer science, data science, statistics, or similar), or another scientific degree from accredited University. Must be available to work full time, 40 hours a week. Must be currently enrolled as a full-time student at an accredited U.S. based university or college and enrolled in the fall term after the completion of the internship OR have graduated within 1 year of the start of the program. Must be able to relocate if necessary and work at the designated site for the duration of the internship for on-site, hybrid roles. Some positions will be open to remote interns, but employee must be within United States borders. Benefits of a BioMarin Internship: Paid hourly wage, paid company holidays, and sick time Apply skills and knowledge learned in the classroom to on-the-job experiences Comprehensive, value-added project(s) Develop skills specific to your major. Opportunities for professional development by building relationships and learning about other parts of the business. Participate in company all hands meetings, monthly community lunches Corporate office amenities such as: 24/7 on-site gym, coffee truck, snacks Access to Employee Resource Groups 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/Veterans/Disabled An 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. In the U.S., the salary range for this position is $24 to $32 per hour, which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.