Intern, Data Analytics Science
Location United States, Remote
Workstyle Remote Only 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 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:
- Get familiar to BioMarin data processing and analysis process, contribute to the improvement and automation of data processing
- Design and develop metadata DB
- Build dashboards for DB
- Serve as a technical resource to the study teams for DB engineering
- Research how to setup metadata DB for AI/ML modeling
- Are passionate about science, collaboration and learning new techniques.
- Interested in learning about clinical research, FDA & ICH, GCP, GCDMP, and related regulatory requirements
- Possess strong oral and written communication skills
- Proficient programming skills in SQL and in deep knowledge of relational database
- Proficient programming skills in R, Python, or SAS for data analysis and data processing
- Consistent, detail oriented, communicative, dedicated to do a job well done
- Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.), Power BI
- Industry experiences working with relational databases
- Industry experiences using of SQL programming and database engineering
- Experiences using data analysis and visualization tools
- Graduate level degree candidate or a rising senior working towards a bachelor’s degree; in a quantitative discipline (e.g., data science, statistics, computational biology, biomedical engineering, computer science, applied mathematics, 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.
- 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
- Assistance with housing/transportation to help alleviate costs associated with the internship for eligible employees.
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.