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Google Epidemiology Jobs (NOW HIRING)

Sr Data Scientist - Payment Integrity

Canton, MA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Master's degree in data science, Applied Mathematics, Computer science, Statistics, Epidemiology ... Experience with cloud platforms like Azure, AWS, or Google Cloud. * Proficiency in data analysis ...

Public Health Nurse Senior

Portsmouth, VA

$77K - $84K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... of epidemiology Work effectively as a member of the multidisciplinary health care team Knowledge ... Office, and Google Mail applications Experience and ability to work with diverse cultural ...

... epidemiology, health disparities, or social sciences research * Familiarity with literature reviews, evidence synthesis, or academic research methods * Experience using Microsoft Excel, Google Sheets ...

Showing results 41-46

Google Epidemiology information

See salary details

$45K

$85.2K

$133K

How much do google epidemiology jobs pay per year?

As of Aug 16, 2026, the average yearly pay for google epidemiology in the United States is $85,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $101,000.00 per year, depending on experience, location, and employer.

What is a Google Epidemiology?

A Google Epidemiology job involves using data science, machine learning, and public health expertise to analyze and model disease patterns. Professionals in this role work with diverse datasets, such as search trends, mobility data, and health records, to track and predict outbreaks. They collaborate with researchers, policymakers, and engineers to develop tools that support public health decision-making. The goal is to leverage Google's data resources to improve disease surveillance, preparedness, and response.

What are the typical daily responsibilities for someone working in Google Epidemiology?

Professionals in Google Epidemiology typically spend their days analyzing large datasets, developing models to monitor disease trends, and collaborating with engineers and public health experts to improve data-driven products and solutions. They also participate in meetings to communicate findings, design new studies, and help translate epidemiological insights into actionable strategies for both product and policy initiatives. Working in an innovative, tech-driven environment, you will be part of dynamic, interdisciplinary teams where continuous learning and adaptation are key to success. The role offers opportunities to work on high-impact projects that advance global health understanding and outcomes.

What are the key skills and qualifications needed to thrive in the Google Epidemiology position, and why are they important?

To thrive as a Google Epidemiology professional, you need a strong background in epidemiology, data analysis, and public health research, typically supported by an advanced degree in a related field. Experience with statistical software (such as R, Python, or SAS), data visualization tools, and familiarity with large-scale health data systems is essential. Excellent communication, cross-functional collaboration, and problem-solving skills will help you excel in interdisciplinary settings. These competencies are crucial for leveraging complex health data to inform meaningful insights and impactful public health decisions at scale.

More about Google Epidemiology jobs

What cities are hiring for Google Epidemiology jobs?

Cities with the most Google Epidemiology job openings:

What are the most commonly searched types of Google Epidemiology jobs?

The most popular types of Google Epidemiology jobs are:

What states have the most Google Epidemiology jobs?

States with the most job openings for Google Epidemiology jobs include:

What job categories do people searching Google Epidemiology jobs look for?

The top searched job categories for Google Epidemiology jobs are:

Infographic showing various Google Epidemiology job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $85,222 per year, or $41 per hour.

Sr Data Scientist - Payment Integrity

Point32health

Canton, MA • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 hours ago


Job description

Who We Are

Point32Health is a leading not-for-profit health and well-being organization dedicated to delivering high-quality, affordable healthcare. Serving nearly 2 million members, Point32Health builds on the legacy of Harvard Pilgrim Health Care and Tufts Health Plan to provide access to care and empower healthier lives for everyone. Our culture revolves around being a community of care and having shared values that guide our behaviors and decisions. We've had a long-standing commitment to inclusion and equal healthcare access and outcomes, regardless of background; it's at the core of who we are. We value the rich mix of backgrounds, perspectives, and experiences of all of our colleagues, which helps us to provide service with empathy and better understand and meet the needs of the communities where we serve, live, and work.

We enjoy the important work we do every day in service to our members, partners, colleagues and communities. Learn more about who we are at Point32Health.

Job Summary

Position will report into Payment Integrity's Sr Manager Provider Audit.
The Sr Data Scientist is responsible for delivering innovative, data-driven solutions through the analysis of complex, high-dimensional datasets. This role leverages exploratory data analysis, advanced statistical techniques, and AI-powered technologies to uncover patterns, identify opportunities, and generate actionable business insights. The Sr Data Scientist translates complex data into strategic recommendations, formulates critical business questions, and develops advanced analytical and AI-driven products that address key business challenges and drive measurable value.

Job Description

  • Design, develop and orchestrate experiments, models, algorithms, and visualizations.
  • Lead multiple and concurrent projects and manage project phases or smaller projects in their entirety. Communicate results and insights in a clear and concise manner to a non-technical audience.
  • Identify, define, and translate business needs/problems into analytical questions.
  • Apply advanced machine learning, natural language processing, statistical and computational methodologies to provide actionable insights and identify strategic opportunities that optimize quality, consumer experience, and healthcare costs.
  • Lead and develop scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation.
  • Provide supervision and mentorship to junior team members and create/adhere to governance and ethical norms.
  • Other duties and projects as assigned.

Certification and Licensure

  • Relevant certifications are a plus.

Education

  • Master's degree in data science, Applied Mathematics, Computer science, Statistics, Epidemiology, or equivalent combination of experience and education.

Experience (minimum years required):

  • 8 - 10 years of work experience in a Data Scientist or similar role, or equivalent combination of transferrable experience and education
  • 8 - 10 years' experience with advanced machine learning, statistics, and statistical packages (SAS, SQL) as well as Excel/PowerPoint skills (including visual graphics and analytics).
  • Experience in information management best practices, including information lifecycle management, data modeling, and carrying out business audits and requirements gathering.

Skill Requirements

  • Advanced knowledge and mastery in Python or other programming languages along with competence in using advanced statistical analysis, computational methodologies, and techniques.
  • Mastery in developing supervised and unsupervised machine learning algorithms and data structures.
  • Advanced knowledge in model evaluation, tuning, performance, operationalization, scalability of scientific techniques, and establishing decision strategies.
  • Experience with cloud platforms like Azure, AWS, or Google Cloud.
  • Proficiency in data analysis, cleaning, and preparation along with full understanding of data sources and limitations, warehousing system, and the impact of the data on business decisions.
  • Knowledge of the agile development framework.
  • Excellent written, visual, and oral communication skills.
  • Lead projects and manage project phases along with ability to delegate and prioritize work independently and meet/exceed deadlines.
  • Think strategically and broadly (end to end process), analyzing complex business problems.
  • Act as a Lean thinker applying continuous improvement philosophies and approaches to identify and address inefficiencies in day-to-day work.
  • Strong decision-making ability, teamwork, and collaborative skills. Proven track record of creating strong actionable insights that drive decision making and business process.

Working Conditions and Additional Requirements (include special requirements, e.g., lifting, travel):

  • Must be able to work under normal office conditions and work from home as required.
  • Work may require simultaneous use of a telephone/headset and PC/keyboard and sitting for extended durations.
  • May be required to work additional hours beyond standard work schedule.

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Management retains the discretion to add to or change the duties of the position at any time.

Salary Range

$129,565.60 -$194,348.40

Compensation & Total Rewards Overview

The annual base salary range provided for this position represents a range of salaries for this role and similar roles across the organization. The actual salary for this position will be determined by several factors, including the scope and complexity of the role; the skills, education, training, credentials, and experience of the candidate; as well as internal equity. As part of our comprehensive total rewards program, colleagues are also eligible for variable pay. Eligibility for any bonus, commission, benefits, or any other form of compensation andbenefits remains in the Company's sole discretion and maybe modified at the Company's sole discretion, consistent with the law.

Point32Health offers their Colleagues a competitive and comprehensive total rewards package which currently includes:

  • Medical, dental and vision coverage

  • Retirement plans

  • Paid time off

  • Employer-paid life and disability insurance with additional buy-up coverage options

  • Tuition program

  • Well-being benefits

  • Full suite of benefits to support career development, individual & family health, and financial health

For more details on our total rewards programs, visit https://www.point32health.org/careers/benefits/

We welcome all
All applicants are welcome and will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Scam Alert: Point32Health has recently become aware of job posting scams where unauthorized individuals posing as Point32Health recruiters have placed job advertisements and reached out to potential candidates. These advertisements or individuals may ask the applicant to make a payment. Point32Health would never ask an applicant to make a payment related to a job application or job offer, or to pay for workplace equipment. If you have any concerns about the legitimacy of a job posting or recruiting contact, you may contact TA_operations@point32health.org