Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Verily, an Alphabet company, lives at the intersection of technology, data science and healthcare. Our mission is to make the world’s health data useful so that people enjoy longer and healthier lives.
Our team combines expertise in healthcare, data science and technology to improve the health and well-being of our communities. We are developing the infrastructure and solutions to harness the profusion of health information for good. Our data-driven solutions span three primary areas: research, care and innovation. Programs include Project Baseline - our research initiative to increase participation and evidence generation in clinical research; Onduo - our personalized virtual care platform, which includes connected tools, lifestyle coaching and clinical support; and Debug - our effort to reduce the threat of mosquito-borne diseases by combining machine learning with sterile insect technique. We’re also actively working to combat the spread of COVID-19 through new programs like Healthy at Work.
DESCRIPTION
Verily’s Biostatistics and Epidemiology team supports Verily’s mission through generating rigorous evidence that drives our business, optimizing data collection and data structures, ensuring regulatory compliance in terms of study and experimental design, and advancing healthcare, science, and medical device needs. We capture, organize, and analyze data across multiple dimensions and levels of complexity to make credible inferences that can be acted on to improve healthcare. As the Head, Biostatistics and Epidemiology, you will lead and manage a team of biostatisticians and analysts in designing and planning programs and studies, executing analyses, and interpreting data, and will be a strategic thought partner and key contributor to efforts to increase the growth and application of Verily’s data, platform technologies, devices, and healthcare solutions.
The intersection of the fields of biostatistics, epidemiology, machine learning, artificial intelligence combined with the dramatic improvements in computing is creating a fertile environment for methods that include the optimal approach for each field to generate insights. We are seeking a leader who can manage a growing group of quantitative and methodological experts to solve practical, real world problems in health and healthcare.
Ideally this role will sit in South San Francisco but we are open to candidates working remotely within the United States.
RESPONSIBILITIES
QUALIFICATIONS
Minimum qualifications:
Preferred qualifications:
Verily Life Sciences, also known as Verily, is Alphabet Inc.'s research organization devoted to the study of life sciences. The organization was formerly a division of Google X, until August 10, 2015, when Sergey Brin announced that the organization would become an independent subsidiary of Alphabet Inc.
Tel Aviv, Israel
2-4 year
South San Francisco, CA, USA
2-4 year
United States
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
2-4 year
Boulder, CO, USA
2-4 year
Mountain View, CA, USA
2-4 year