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.
Developer Tooling Lead and Clinical Data Science Expert
Dinakar Kulkarni has established himself as a leader in developer tooling and clinical data science at Genentech. As Developer Tooling Lead, he specializes in implementing data science principles in clinical reporting environments. His expertise is demonstrated through his role as instructor for the course "Making Data Science Work for Clinical Reporting," where he teaches intermediate-level concepts combining data science tools with clinical reporting practices. His course covers crucial areas including version control, risk assessment in codebases, and the implementation of data science principles in clinical settings. His work focuses on bridging the gap between traditional clinical reporting and modern data science methodologies, helping professionals understand how to effectively apply tools like R and Python in clinical contexts. His expertise in DevOps practices and agile methodologies contributes to Genentech's mission of advancing healthcare through innovative data science applications.