Data Scientist, Wastewater

Verily is an Alphabet company combining a data-driven, people-first approach to bring the promise of precision health to everyone, every day.

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

As a Data Scientist working on computational biology, you will be joining a team making use of diverse ‘omics data in different disease settings. You will work in a collaborative, cross-functional team to develop novel viral genomics methods for public health applications, with an emphasis on viral metagenomic analyses of wastewater samples. You will work closely with your lab colleagues to refine the best laboratory techniques based on data quality, set up robust data processing QC pipelines and perform downstream analyses to answer important public health questions. You will develop new methods and models to help derive insights from our proprietary platforms. You may also work with internal and external collaborators to design new studies in which to apply these molecular platforms and analyses.

Responsibilities

• Develop methods to process, QC, and analyze targeted and metagenomics viral genome data to derive insights.
• Analyze complex RNA and DNA sequence data sets in combination with epidemiological and other data.
• Give input on experimental design and analyze results from assay development experiments to optimize workflows.
• Communicate technical results to internal and external cross-functional teams.

Qualifications

• Advanced degree (Masters or PhD) in a quantitative discipline (Computational Biology, Bioinformatics, Statistics, Computer Science, or related), or equivalent practical experience.
• Proficient in Python and/or R.
• Expertise in statistical data analysis, modeling, machine learning and exploratory data analysis.
• Experience collaborating with wet lab teams for assay development using sequencing technologies.

• 1+ years industry experience.
• Demonstrated track record of analyzing metagenomics data.
• Experience working with viral genomics data in a public health setting.
• Outstanding oral and written communication and teamwork.
• Desire to work closely with cross-functional collaborators to help drive the team to results.

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Verily requires all employees in the U.S. (including employees eligible for remote work) to be fully vaccinated against COVID-19 and for all successful candidates who receive an offer of employment in the U.S. to show proof of an FDA-approved COVID vaccination, subject to applicable law. Verily is an equal opportunity employer, and will provide reasonable accommodation consistent with applicable federal, state, and local law to a successful candidate who is unable to be vaccinated and requests such an accommodation.