Intern, Data Analytics, Business Operations
Location Novato, California Workstyle Hybrid ApplyBioMarin 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 Technical Operations
BioMarin’s Technical Operations group is responsible for creating our drugs for use in clinical trials and for scaling production of those drugs for the commercial market. These engineers, technicians, scientists and support staff build and maintain BioMarin’s cutting-edge manufacturing processes and sites, provide quality assurance and quality control to ensure we meet regulatory standards, and procure the needed goods and services to support manufacturing and coordinating the worldwide movement of our drugs to patients.
- Strong understanding of data analytics, data science, and technology
- Experienced with visualization tools like Power BI or Tableau
- Expertise in quantitative methods – finding the truth and narrative in the data
- Knowledge of data visualization techniquesand standard processes
- General understanding of statistics
- Strong desire to learn
- Superior customer service and interpersonal skills
- Experience with engineering tools and methods
- Experience with machine learning tools
- Understanding of program and project management
- Programming proficiency
- Student in their 3rd or 4th of Undergraduate, or master’s candidate pursing a degree in Life Science, Engineering, Data Science or other technical field.
- 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.
- 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
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.