Data Science Intern, Computational Biology
South San Francisco, CA
Applications have closed
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 decisionsWho We Are
Verily is a subsidiary of Alphabet that is using a data-driven approach to change the way people manage their health and the way healthcare is delivered. Launched from Google X in 2015, Our purpose is to bring the promise of precision health to everyone, every day. We are focused on generating and activating data from a variety of sources, including clinical, social, behavioral and the real world, to arrive at the best solutions for a person based on a comprehensive view of the evidence. Our unique expertise and capabilities in technology, data science and healthcare enable the entire healthcare ecosystem to drive better health outcomes.
Verily’s internship is a paid 13 week program for rising seniors, either undergraduate or graduate students, who are interested in working at the intersection of technology, data science and healthcare. The program is designed for Computer Science and Data Science students, and again this year we encourage students who have been historically underrepresented in this field to explore the program, which is a pathway towards full-time employment within Verily. This includes but is not limited to: women, Black/African-American, Latine/Hispanic, Native American, people with disabilities, veterans, and members of the LGBTQ+ community.
Description
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 statistical and machine learning knowledge to build scalable models and solutions that help power Verily’s various product areas. For this position, we are looking for interns with experience and interest in computational biology.
As a Data Scientist intern working on Computational Biology, you will be joining a team making use of diverse ‘omics data to improve biomarker and target discovery in different disease settings. You will help develop and implement methods to analyze and derive insights from large, disease-focused datasets from the Immune Profiler platform.
**Join us for a unique 13 week internship that will take place May 15th to August 11th 2023 OR June 19th to September 15th 2023.
Responsibilities
- Develop performant and reusable models and libraries from original architecture.
- Review literature related to the project area and integrate relevant domain knowledge.
- Analyze complex ‘omics data sets in combination with clinical and other data.
- Communicate technical results and methods to cross-functional teams.
Qualifications
Minimum Qualifications
- Currently enrolled as a full-time student in a PhD program in a quantitative discipline (e.g., Computational Biology, Bioinformatics, Statistical Genetics, Computer Science, or related) with an anticipated graduation date at or before the end of 2024.
- Authorization to work in the United States.
- Expertise in statistical data analysis, modeling, machine learning, and exploratory data analysis.
- Programming experience in R.
Preferred Qualifications
- Experience working with clinical study data in any disease setting.
- Familiarity with software engineering practices and experience developing production software.
- Programming experience in SQL and/or bash.
- Outstanding oral and written communication and teamwork.
The US base pay range for this intern position is $50.48-$61.06. Our pay ranges are determined by role, education level, experience, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire pay ranges for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range for your preferred location during the hiring process.
Why Join Us
Build What’s Vital.
At Verily, you are a part of something bigger. We are a diverse team of builders innovating at the intersection of health and technology—united by a shared spirit of curiosity, resilience and determination to make better health possible for all. This builder mindset means your fingerprints will be on the work that shapes the future of health. Fulfilling our precision health purpose starts with the health of our Veeps (what we call our employees), which is why we offer flexibility, resources, and competitive benefits to support you in your whole-person well being. We believe diversity of thought drives innovation—we unite the brightest minds, and encourage all Veeps to bring their lived experience to work with them.
If this sounds exciting to you, we would love to hear from you.
You can find out more about our company culture on our LinkedIn Company Page and Verily Careers page.
Tags: Architecture Bioinformatics Biology Computer Science Data analysis EDA Engineering Machine Learning PhD R SQL Statistics
Perks/benefits: Career development Competitive pay Health care
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