Who you are:
You believe it’s not just possible to make genetics relevant to the average person, but important. You are motivated by identifying significant findings from large datasets, and you also ensure that the end results are valid and meaningful. You are a stickler for the details and are simultaneously excited and skeptical about new ideas. You can work independently 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:
Apply both cutting edge and well-established machine learning methods to analyze genetic and phenotypic data from millions of individuals
Be a significant contributor to 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
Provide scientific support to a variety of teams across the company
We hope you have:
A Ph.D. degree in quantitative discipline, such as computational biology, bioinformatics, engineering, mathematics, or computer science
Several years of relevant work experience with machine learning, modeling, and various statistical tools, including the design, implementation, and validation of this work
Several years of experience with data analysis, programming, and related concepts in languages such as Python, R, Git, and SQL
Familiarity with various study designs and statistical analysis in the context of critically evaluating scientific findings
Motivated to clearly document and communicate your work, including presenting clear descriptions of your technical work to broad audiences
The ability to be proactive, thorough, and independent, but to also work effectively in a dynamic, fast-paced, and interdisciplinary team
Familiarity with human biology (e.g., through working on projects with a disease focus)
A passion for making science accessible and relevant to everyone
Pluses:
Familiarity with human genetics (e.g., through working on projects with a genetics focus)
Experience creating web applications using frameworks (e.g., Django and Flask)
Experience communicating complex scientific concepts to a consumer audience
Experience with deep learning and familiarity with core neural network architectures
Experience in machine learning platforms and wrappers (e.g., TensorFlow and Keras)
Apply through our website: www.23andme.com/careers/4008756002/