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Implementation Science Jobs in Seattle, WA (NOW HIRING)

Syneos Health

Medical Science Liaison

Seattle, WA

$190K - $210K/yr

Collaborate with investigative sites to develop and implement patient identification, recruitment ... Serve as a therapeutic and scientific resource for healthcare professionals by addressing ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Head of Data Science Location: United States Workplace Type: Remote Job Summary The future is ... implement A/B tests and experiments to measure the impact of models and business tactics. * Own the ...

Walmart

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

... implementation & monitoring. * Experience with delivering very large models through the MLOps life ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Head of Data Science Location: United States Workplace Type: Remote Job Summary The future is ... implement A/B tests and experiments to measure the impact of models and business tactics. * Own the ...

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All JobsImplementation Science JobsImplementation Science Jobs in Seattle, WA

Implementation Science information

See Seattle, WA salary details

$44.4K

$117.8K

$191.2K

How much do implementation science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for implementation science in Seattle, WA is $117,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $137,700.00 per year, depending on experience, location, and employer.

What is an Implementation Science job?

An Implementation Science job focuses on studying and applying methods to promote the adoption, integration, and sustainability of evidence-based practices in real-world settings. Professionals in this field work to bridge the gap between research and practical application by identifying barriers, developing strategies, and evaluating outcomes. These roles are common in healthcare, public health, and social services, where improving effectiveness and efficiency of interventions is critical. Responsibilities may include research, program evaluation, stakeholder engagement, and policy development.

What does an implementation scientist do?

An implementation scientist studies how to effectively integrate research findings into healthcare, public health, or social services. They analyze barriers and facilitators to adopting evidence-based practices, often using frameworks and data analysis tools to improve program outcomes. Their work supports translating research into real-world applications to enhance service delivery.

What jobs pay 4000 a week without a degree?

Implementation Science is a field focused on applying research to improve healthcare practices and policies, and typically requires advanced education. Jobs that pay around $4,000 a week without a degree are often in skilled trades, sales, or entrepreneurship, such as commercial pilots, real estate brokers, or certain sales managers, which rely on experience, certifications, or licenses rather than formal degrees.

How much do implementation scientists make?

Implementation scientists typically earn a median annual salary between $70,000 and $100,000, depending on experience, education, and location. Senior roles or those with specialized skills in research methods and data analysis can earn higher salaries, often exceeding $120,000. Salaries may also vary based on whether they work in academia, healthcare, or government settings.

How to get into implementation science?

To enter implementation science, candidates typically need a background in public health, healthcare, or social sciences, along with skills in research methods, data analysis, and program evaluation. Gaining relevant experience through internships, certifications, or advanced degrees such as a master's or PhD in related fields can improve job prospects. Familiarity with implementation frameworks and tools like qualitative and quantitative research methods is also beneficial.

What are typical projects or day-to-day responsibilities in an Implementation Science role?

Professionals in Implementation Science commonly design, manage, and evaluate projects that translate research findings into practice across healthcare or community settings. This could include collaborating with clinical teams to pilot new interventions, conducting data analysis to assess outcomes, and producing reports or recommendations for stakeholders. Daily tasks often involve coordinating with multidisciplinary teams, leading training sessions, and ensuring ongoing fidelity to evidence-based models. The role emphasizes both independent research and teamwork, making it dynamic and impactful for those interested in improving systems and outcomes.

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

To excel in Implementation Science, a solid background in research methodology, data analysis, and health systems is generally required, often supported by an advanced degree in public health, medicine, or a related field. Experience with statistical software (such as SPSS, R, or SAS), implementation frameworks (like RE-AIM or CFIR), and relevant certifications in evidence-based practice are beneficial. Strong project management, collaboration, and stakeholder engagement skills help set top candidates apart. These skills and qualities enable professionals to effectively translate research into practical interventions and drive sustainable improvements in real-world settings.

What are the most commonly searched types of Implementation Science jobs in Seattle, WA? The most popular types of Implementation Science jobs in Seattle, WA are:
What are popular job titles related to Implementation Science jobs in Seattle, WA? For Implementation Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Implementation Science jobs in Seattle, WA look for? The top searched job categories for Implementation Science jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Implementation Science jobs? Cities near Seattle, WA with the most Implementation Science job openings:
Implementation Science jobs near you
Infographic showing various Implementation Science job openings in Seattle, WA as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $117,807 per year, or $56.6 per hour.
Director, Data Science: Data Science Tools

Director, Data Science: Data Science Tools

Liberty Mutual

Seattle, WA • On-site, Remote

$120K - $257K/yr

Full-time

Posted 28 days ago

Liberty Mutual rating

8.9

Company rating: 8.9 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

33rd of 281 rated insurance

Job description


Description

The Data Science Infrastructure organization within USRM is hiring a Senior Technical Professional, Data Scientist to join the Data Science Tools team. This role will focus on improving the end-to-end modeling workflow for USRM Data Science by building internal tools, pipelines, and applications that streamline model development, evaluation, deployment, and iteration. The ideal candidate is highly technical, proactive, and motivated by building systems that help other data scientists work more efficiently.

**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. **

Responsibilities:

  • Design and build internal tools, pipelines, and applications that improve model development, evaluation, and deployment
  • Own strategy and roadmaps for improving data science workflows and tooling across USRM
  • Design, build, and maintain Python packages used across the organization
  • Evaluate and implement AI agent capabilities in tooling using approaches such as MCP, RAG, PydanticAI, LangChain, or related frameworks
  • Work with workflow and modeling tools such as Luigi, Airflow, Celery, MLflow, H2O, scikit-learn, Optuna, and LightGBM, as well as Python development tools such as Pydantic, FastAPI, uv, ruff, and pytest
  • Promote MLOps and AI agent best practices in collaboration with groups such as Enterprise Data & Data Science
  • Stay current on developments in open-source data science frameworks, MLOps, and agentic coding practices
  • Help shape the direction of the Tools team and contribute to a culture of ownership, collaboration, and continuous improvement

The ideal candidate will have:

  • Professional experience building and maintaining Python-based data science or Machine Learning tooling used by multiple end users or teams
  • Worked with any of the following in a professional setting: Git, Bash/shell scripting, uv, pre-commit, ruff, pytest, or Pydantic
  • Built, deployed, or maintained workflows or pipelines using any of the following: Airflow, Luigi, Celery, Databricks, or MLflow
  • Implemented or supported AI/LLM-based tooling using frameworks such as PydanticAI, LangChain, MCP, or RAG
  • Developed, reviewed, or maintained internal Python packages, APIs, or data science applications using tools such as FastAPI, Streamlit, Dash, NiceGUI, or Plotly
  • Applied agentic AI techniques in day-to-day development and incorporate AI capabilities directly into tools and applications where they create meaningful value for data scientists
Qualifications
  • Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
  • Advanced knowledge of predictive toolset; reflects as expert resource for tool development.
  • Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
  • Ability to establish and build relationships within and outside the organization.
  • Ability to give effective training and presentations to management and other groups.
  • Ability to use results of analysis to persuade team, department management or senior management to a particular course of action.
  • Broad knowledge of business drivers and market context.
  • Has a value driven perspective with regard to understanding of work context and impact.
  • Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of  6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of  8 years of relevant experience.
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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