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Data Scientist
Verily San Francisco, CA
$150k-185k (estimate)
Full Time | Scientific Services 11 Months Ago
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Verily is Hiring a Data Scientist Near San Francisco, CA

Cambridge, MA or South San Francisco, CA

Who 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.

DESCRIPTION

As a Data Scientist at Verily, you will apply your skills to perform complex analyses of large, diverse and complex data sets. In this position, you will bring analytical rigor and statistical methods to the challenges of predicting and measuring clinical outcomes and improving health care. To do this, you will deliver key analyses to inform product direction and build reusable analysis tools, working closely with software engineers, product managers and clinicians to deliver analytical models in user-facing products. These efforts combine structured and unstructured EHR data, claims data, traditional clinical and lab-based tests as well as sensor and behavioral data in an effort to change the way health is understood and treated.

RESPONSIBILITIES

  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, handling data challenges from a real-world setting.
  • Develop quality control and pre-processing tools for a broad range of digital and clinical data types.
  • Iterate on, engineer key features and build new statistical and machine learning models relating measured features to clinical endpoints.
  • Communicate highly technical results and methods clearly, as well as, interact cross-functionally with a wide variety of people and teams.

QUALIFICATIONS

Minimum qualifications:
  • Advanced degree in a quantitative discipline (e.g., statistics, computer science, applied mathematics, or similar) or equivalent practical experience.
  • Demonstrated experience working with Python.
  • Experience with exploratory and statistical data analysis (such as linear models, multivariate analysis, predictive modeling and stochastic models).
  • Experience extracting and cleaning data sets.
Preferred qualifications:
  • Experience with the analysis of observational clinical data.
  • Familiarity with medical terminologies and ontologies.
  • Familiarity with software engineering practices and experience developing production software.
  • Demonstrated willingness to both teach others and learn new techniques.

The US base salary range for this full-time position is $100,000 - $155,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries 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 salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

#LI-SR1

#LI-SR1

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.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Scientific Services

SALARY

$150k-185k (estimate)

POST DATE

05/04/2023

EXPIRATION DATE

05/10/2024

WEBSITE

verily.com

HEADQUARTERS

SOUTH SAN FRANCISCO, CA

SIZE

500 - 1,000

FOUNDED

2015

TYPE

Private

CEO

ANDY CONRAD

REVENUE

$5M - $10M

INDUSTRY

Scientific Services

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Business analysts are focused on reporting, just like data analysts.

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