Founded over 40 years ago, Genentech is a leading biotechnology company that has expanded its educational initiatives through programs like Futurelab+ and various partnerships. The company focuses on increasing diversity in biotechnology education and creating pathways for historically underrepresented groups in STEM careers.
690,000+
K-12 students reached
62%
Title I school participation
$47 million+
Investment in education
Discovery Education Partnership
Bay Area Bioscience Education Community Partnership
California Academy of Sciences Partnership
Genentech provides comprehensive career development support through multiple channels. Through Futurelab+, the company offers free biotech curriculum, teacher resources, and industry connections to increase diversity in biotechnology careers. The program includes hands-on training opportunities, internships, and partnerships with educational institutions to create pathways into biotechnology careers
2 annually
PhD internships
$47 million+
Program investment
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Data Science and Clinical Reporting Expert at Genentech
Adrian Chan has established himself as a key contributor to Genentech's data science initiatives, particularly in clinical reporting and R programming. As an instructor for "Hands On Clinical Reporting Using R," he helps develop and deliver practical training in clinical data analysis and reporting methodologies. His work at Genentech, a pioneering biotechnology company with over 40 years of industry leadership, focuses on making complex clinical data analysis accessible and actionable. His expertise in R programming and clinical reporting contributes to Genentech's mission of advancing healthcare through data-driven insights. Through his teaching role, he helps bridge the gap between theoretical data science concepts and practical applications in clinical research and reporting.
Statistical Engineering and Biostatistics Expert
Daniel Sabanés Bové has established himself as a leader in statistical engineering and biostatistics, combining academic expertise with industry experience. After completing his PhD in Bayesian model selection in 2013, he began his career at Roche as a biostatistician, later gaining valuable experience as a data scientist at Google before returning to Roche. Currently, he leads the Statistical Engineering team within Data Science Acceleration at Roche, focusing on developing R packages, Shiny modules, and templates for data scientists. His academic contributions include co-authoring the book "Likelihood and Bayesian Inference: With Applications in Biology and Medicine" and developing multiple R packages published on CRAN and Bioconductor, including crmPack for dose escalation designs. As chair of the ASA BIOP Software Engineering Working Group, he advocates for better software engineering practices in biostatistics. His work bridges the gap between statistical theory and practical implementation, promoting robust software development practices in the biostatistics community.