23andMe Mountain View, CA, USA
Apr 02, 2019Internship
Are you passionate about bringing science to the everyday consumer and interested in revolutionizing how people interact with their DNA? Do you want to further develop your bioinformatics and data science skills to derive meaningful human health insights from novel, large scale data sets? We're looking for enthusiastic people with computational biology backgrounds to contribute to the development of consumer genetics applications. Your work could help millions of people understand their genetic information and use it to make impactful life changes. Who we are 23andMe’s mission is to help individuals and researchers access, understand, and benefit from the human genome. We are a group of passionate individuals pushing the boundaries of what’s possible to help turn genetic insight into better health. Who you are You are on your way to a graduate degree in a biology-focused quantitative discipline, and you’re wondering where your skills can take you outside of academia. You are motivated by identifying significant and meaningful findings from large datasets, and you’re a stickler for the details. You can problem-solve on your own, but thrive as part of a team. Like us, you are mission-driven and want to contribute to something that truly impacts people’s lives. What you’ll do Contribute to the development of polygenic risk score models by digging into the finer details of how various inputs influence model performance Run genome-wide association studies and build polygenic models on a variety of phenotypes using 23andMe research participant data Identify model inputs that have meaningful impacts on model performance Be a significant contributor on longer-term R&D projects to develop, validate, and translate research data into novel consumer products Find and critically evaluate external scientific studies in support of R&D efforts Collaborate on the development of scientifically accurate and compelling features for the consumer product We hope you are Working toward a graduate degree in a quantitative discipline, such as computational biology, statistical genomics, bioinformatics, engineering, mathematics, computer science, or a related discipline Comfortable with data analysis, programming, and related concepts in languages such as Python, Git, and Bash Motivated to clearly document and communicate your work, including presenting clear descriptions of your technical work to broad audiences Proactive, thorough, and independent, but also able to work effectively in a dynamic, fast-paced, and interdisciplinary team Submit your resume and a cover letter letting us know why you are excited about this position and why you are a great fit.