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Science Manager Jobs in Redmond, WA (NOW HIRING)

Amazon

Applied Science Manager, Healthcare AI

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Healthcare AI organization in AWS is seeking an Applied Science Manager to lead science and data teams working on innovative AI-powered healthcare solutions. We are developing innovative products ...

TikTok

Data Science Manager - TikTok Ads

Seattle, WA · On-site

$242K - $387K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... manage high performance, responsive team of data scientists and analysts that are able to not only keep up with but also pioneer in this space 3. Build and prototype analysis pipelines for the team ...

Accenture

AI/ML Computational Science Manager

Redmond, WA · On-site

$94K - $293K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an Artificial Intelligence and Machine Learning Computational Science professional, you will ... Experience managing and leading Gen AI/Agentic delivery across enterprises * Deep industry ...

Accenture

AI/ML Computational Science Manager

Seattle, WA · On-site

$94K - $293K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an Artificial Intelligence and Machine Learning Computational Science professional, you will ... Experience managing and leading Gen AI/Agentic delivery across enterprises * Deep industry ...

Google

Business and Marketing Data Science Manager

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field and 11 years of progressive post-baccalaureate ...

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Science Manager information

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$10

$29

$60

How much do science manager jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for science manager in Redmond, WA is $29.51, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $36.63 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a science manager?

To thrive as a Science Manager, you generally need a strong background in scientific research, leadership experience, and an advanced degree such as a PhD or MSc in a relevant field. Familiarity with data analysis software, laboratory information management systems (LIMS), and project management tools is typically required. Outstanding communication, problem-solving, and team-building skills help Science Managers effectively lead multidisciplinary teams and coordinate complex projects. These skills are crucial for ensuring scientific rigor, driving innovation, and achieving organizational objectives in research environments.

What is the difference between Science Manager vs Research Scientist?

AspectScience ManagerResearch Scientist
Required credentialsTypically a master's or PhD in a scientific field, leadership experienceUsually a PhD or master's in a specific science, strong research background
Work environmentLeads teams, manages projects, oversees research activitiesConducts experiments, analyzes data, publishes findings
Employer and industry usageUsed in biotech, pharma, research institutions, and corporate R&DCommon in academia, industry, government research labs

Science Managers focus on leading research teams and managing projects, while Research Scientists primarily conduct experiments and analyze data. Both roles require advanced scientific credentials, but their responsibilities and work environments differ significantly.

What is a science manager?

Science Managers are professionals who oversee scientific research projects, teams, or departments within organizations such as research institutes, universities, government agencies, or private companies. Their responsibilities include coordinating research activities, managing budgets and resources, ensuring compliance with regulations, and facilitating communication between scientists and other stakeholders. Science Managers play a crucial role in translating scientific objectives into actionable plans and ensuring that projects are completed efficiently and effectively. They often have advanced degrees in science and strong leadership, organizational, and communication skills.

What are the main challenges a science manager faces when leading interdisciplinary research teams?

One of the main challenges Science Managers encounter is effectively coordinating communication and collaboration among team members from diverse scientific backgrounds. Aligning different methodologies, expectations, and terminologies can require extra effort to ensure everyone is working toward common goals. Additionally, Science Managers must balance administrative responsibilities, such as securing funding and managing budgets, with supporting the scientific growth of their team. Successful Science Managers foster an inclusive environment that encourages innovation while maintaining clear project timelines and deliverables.

What are the most commonly searched types of Science jobs in Redmond, WA?

The most popular types of Science jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Science Manager jobs?

Cities near Redmond, WA with the most Science Manager job openings:

Science Manager jobs near you
Infographic showing various Science Manager job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $61,381 per year, or $29.5 per hour.

Principal Research Science Manager - CoreAI

Microsoft

Redmond, WA • On-site

Full-time

Posted 11 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

79th of 244 rated software companies

Job description

Overview
We are seeking a Principal Research Science Manager to lead the Multimodal Intelligence (MMI) science team within Microsoft's CoreAI organization. This team is responsible for advancing the state of the art in AI-powered content understanding across Content Understanding (CU), Document Intelligence (DI), and emerging multimodal and memory-powered experiences. You will drive scientific innovation across documents, images, video, audio, and enterprise content, enabling customers to build intelligent automation, knowledge extraction, and agentic workflows at scale.
As a scientific leader, you will define and execute the research strategy behind Microsoft's next generation of content understanding technologies, ranging from information extraction and multimodal reasoning to custom models, semantic enrichment, and knowledge-centric AI systems. You will partner closely with engineering, product management, and platform teams to transform scientific advances into production services that power Azure AI and Microsoft-wide experiences.
This role offers a unique opportunity to lead a high-impact science organization operating at the intersection of traditional AI, foundation models, and enterprise-scale systems. You will shape long-term technical strategy, build and develop a world-class team of scientists, influence investment decisions across the organization, and help define how customers unlock value from their enterprise data in the era of Generative AI.
This position is in-office, with a minimum of 3 days/week in office.
Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we're dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of AI-powered knowledge and automation.
  • #DocumentIntelligence
  • #MultimodalAI
  • #GenerativeAI
  • #AzureAI

Responsibilities
  • Lead and Inspire: Lead and grow a team of 7 Research Scientists, fostering technical excellence, innovation, and a culture of collaboration, inclusion, and continuous learning.
  • Content Understanding Innovation: Define and drive the scientific strategy for Content Understanding and Document Intelligence, advancing multimodal AI technologies that transform unstructured content into actionable, structured knowledge.
  • Memory Technology Leadership: Lead research and development in agent memory systems, enabling more efficient, context-aware, and capable AI agents across Microsoft and Azure AI experiences.
  • Cross-Functional Impact: Partner closely with research, engineering, product, and platform teams to align strategy, influence technical direction, and deliver differentiated AI capabilities at scale.
  • Technical Vision and Execution: Drive the translation of scientific innovation into production services, balancing long-term research investments with customer and business impact.
  • Strategic Innovation: Shape the roadmap for multimodal AI, knowledge extraction, and memory technologies, identifying emerging opportunities and positioning Microsoft at the forefront of AI-powered enterprise intelligence.

Qualifications
Required Qualifications:
  • Doctorate in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field AND 6+ years related research experience OR Master's Degree in relevant field AND 7+ years related research experience OR Bachelor's Degree in relevant field AND 9+ years related research experience OR equivalent experience.

Other Requirements:
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
    • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Preferred Qualifications:
  • Demonstrated expertise in one or more of the following areas: large language models (LLMs), document intelligence, multimodal AI, retrieval-augmented generation (RAG), agent memory systems, information extraction, or knowledge-centric AI.
  • 8+ years of experience leading and growing high-performing research science teams.
  • Proven track record of translating scientific innovation into production systems and measurable customer or business impact.
  • Experience defining technical strategy and driving research investments across multiple time horizons, balancing near-term delivery with long-term innovation.
  • Experience partnering effectively across research, engineering, product management, and platform organizations to deliver complex, cross-functional initiatives.
  • Strong written, verbal, and executive communication skills, with the ability to influence technical and business leaders.
  • Experience building and operating enterprise-scale AI products or services used by large external or internal customers.
  • Experience developing AI systems for content understanding, information extraction, multimodal reasoning, knowledge management, or intelligent agents.
  • Familiarity with responsible AI, security, privacy, and compliance requirements for enterprise AI solutions.
  • Experience leading organizations through periods of rapid technological change and translating emerging AI advances into product strategy.
  • Track record of attracting, mentoring, and developing senior scientific talent and future technical leaders.

Research Sciences M6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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