Data Science Intern, Signal Processing

South San Francisco, CA

Verily

Verily is an Alphabet precision health company that helps pharma and consumer health companies develop safe, effective treatments faster and enable patients, providers and payors to make better care decisions

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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 internship is a paid 13 week program for students in their graduating year of college, who are interested in working at the intersection of technology, data science and healthcare. This program is designed to expose students who have been historically underrepresented in this field to career opportunities and a pathway towards full-time employment within Verily. Students from all schools, and students who identify with a demographic that is minoritized within the technology, data science, and healthcare industries are encouraged to apply. This includes but is not limited to: Black/African-American, Latinx/Hispanic, Native American, students with disabilities, veterans, and non-binary people.

Our Data Science group specializes in analyzing and building models to help make sense of large datasets resulting from bio-sensors, digital pathology, clinical informatics, molecular assays, and patient surveys. We combine domain knowledge and programming expertise with signal processing, statistical and machine learning knowledge to build scalable models and solutions that help power Verily’s various product areas. We are looking for interns with skill and interest in any of bio-sensor processing, machine learning and statistics.

**Join us for a unique 13 week internship that will take place May 16th to August 12th 2022 OR June 13th to September 9th 2022

Responsibilities

  • Work with complex data sets with limited sample sizes. Solve difficult analysis problems, handling data challenges from a real-world setting.
  • Apply signal processing, statistical and machine learning methods on different data sources to generate insights and meet product endpoints.
  • Review literature related to the project area and integrate relevant domain knowledge.
  • Communicate highly technical results and methods clearly, as well as interact cross-functionally with a wide variety of people and teams.

Qualifications

Minimum Qualifications: 

  • Authorization to work in the United States.
  • Must be enrolled in a graduate program (MSc or PhD) in Computer Science, Electrical Engineering, Biomedical Engineering, Mathematics, Physics, or an allied discipline, with an anticipated graduation date on or before the end of 2023.
  • Proficient in Python.
  • Experience extracting and cleaning data sets from wearable data analysis.
  • Experience with exploratory and statistical data analysis (such as linear models, multivariate analysis and predictive modeling). 
  • Experience with machine learning (supervised and unsupervised methods).
  • Solid applied data science skills, e.g. experience with libraries such as NumPy, SciPy, Pandas, Scikit-Learn, Matplotlib etc.

Preferred Qualifications:  

  • Ability to work independently and collaborate effectively.
  • Demonstrated willingness to both teach others and learn new techniques.
  • 1 year of relevant work experience (i.e., as a data scientist, ML engineer, etc).
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Tags: Computer Science Data analysis Engineering Machine Learning Mathematics Matplotlib NumPy Pandas PhD Physics Predictive modeling Python Research Scikit-learn SciPy Statistics

Region: North America
Country: United States

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