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applied scientist, account integrity Jobs in Seattle

applied scientist, account integrity

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applied scientist, alexa enterprise

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applied scientist, spx ai lab

applied scientist account integrity

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer every day? Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms to solve real world problems? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Amazon Account Integrity team.<br>
<br>
The Amazon Account Integrity team works to ensure that customers are protected from scams and from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high&#8208;judgement decision&#8208;making where we cannot apply automation.<br>
<br>
Key job responsibilities<br>
<ul><li>Use statistical and machine learning techniques to create scalable risk and scam detection systems</li><li>Analyzing and understanding large amounts of Amazon&rsquo;s historical business data for specific instances of risk or broader fraud trends</li><li>Design, development and evaluation of highly innovative models for risk management</li><li>Working closely with software engineering teams to drive real-time model implementations and new feature creations</li><li>Working closely with operations staff to optimize risk management operations</li><li>Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation</li><li>Tracking general business activity and providing clear, compelling management reporting on a regular basis</li><li>Research and implement novel machine learning and statistical approaches</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>4+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field</li><li>Experience in applied research</li><li>Experience with building Generative AI and Agentic AI systems</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Account Integrity

Fred Hutchinson Cancer Center

<div><div><div><div><div><div><div>Job ID</div>
<div>30062
</div></div><div><div>Type</div>
<div>Regular Full-Time
</div></div><div><div>Location
</div><div>US-WA-Seattle
</div></div><div><div>Category</div>
<div>Staff Scientist
</div></div></div></div></div></div><h2 class="jobSectionHeader"><b>Overview
</b></h2><div><div><div><div>Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.</div><div></div><div><br>
With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world&rsquo;s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world&rsquo;s deadliest diseases and make life beyond cancer a reality.</div><div></div><div><br>
At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.</div><div></div><div><br>
The Rajan Lab in the Basic Sciences Division at Fred Hutchinson Cancer Center is seeking a <b>Staff Scientist</b> to join our team investigating how nutrient state and adipose tissue influence brain function and systemic metabolism. We use <i>Drosophila melanogaster</i> as a genetically powerful model system, complemented by molecular, cellular, imaging, and mammalian cell culture approaches, to uncover fundamental mechanisms of inter-organ communication.</div><div></div><div><b><br>
About the Lab</b></div><div>
Our research program has made key contributions to understanding how adipose tissue signals influence physiology and neural circuits, including:</div><ul><li>
Identification of the Drosophila ortholog of leptin (Upd2) and its role in systemic energy balance.</li><li>
Discovery of novel roles for autophagy-related proteins in controlling adipokine secretion.</li><li>
Demonstration that diet-induced metabolic changes in adipocytes alter glial and neuronal function.</li></ul><div>
The lab is supported by a <b>Maximizing Investigators&rsquo; Research Award (MIRA, NIGMS)</b>, a <b>McKnight Foundation Neurobiology of Disease Award</b>, and other active funding sources.</div><div></div><div><b><br>
Opportunities</b></div><ul><li><b>
Stable, long-term career position</b> with strong funding and a supportive research environment.</li><li><b>
Competitive salary and excellent benefits</b> through Fred Hutch.</li><li>
High-impact projects with strong potential for <b>first and co-author publications.</b></li><li>
Opportunities to take <b>leadership roles in manuscripts, mentoring, and grant development.</b></li><li>
Access to <b>world-class core facilities</b> (imaging, genomics, proteomics) and collaborative networks at Fred Hutch and the University of Washington.</li><li>
A dynamic, collaborative lab culture where the Staff Scientist will play a central role in shaping research directions.</li></ul><div><b>
We Strongly Recommend:</b> You submit a CV, cover letter, and contact information for one to three references with your application. Applications will be reviewed beginning <b>October 2025</b> and will continue until the position is filled.</div>
</div></div></div><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><div><div><div><div>The Staff Scientist will:</div><ul><li>
Independently lead experimental pipelines in <i>Drosophila melanogaster</i> genetics, stock management, and molecular biology (mandatory requirement).</li><li>
Apply and develop molecular profiling approaches (e.g., RNA-seq, TRAP-seq, CUT&amp;RUN) in combination with established behavioral assays (feeding, sleep, energy balance).</li><li>
Utilize advanced imaging methods, including confocal and super-resolution microscopy (e.g., STED, SIM, Airyscan), to study mitochondrial biology and organelle contact sites.</li><li>
Conduct and supervise experiments in mammalian cell culture systems to complement genetic findings.</li><li>
Mentor and supervise junior staff, ensuring strong training, continuity, and lab infrastructure.</li><li>
Contribute to project design, data analysis, and manuscript preparation, with opportunities for leadership and co-authorship.</li><li>
Collaborate with a multidisciplinary team spanning metabolism, neuroscience, and cell biology, with access to world-class core facilities.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2><div><div><div><div><b>MINIMUM QUALIFICATIONS:</b></div><ul><li>
PhD in Genetics, Neuroscience, Metabolism, Cell Biology, or related field.</li><li>
Substantial and documented expertise in <i>Drosophila</i> genetics and experimental approaches (mandatory).</li><li>
Strong experience in advanced microscopy.</li><li>
Demonstrated record of independent contributions to peer-reviewed publications.</li><li>
Hands-on experience with molecular profiling assays (RNA-seq, TRAP-seq, CUT&amp;RUN, or similar).</li><li>
Experience mentoring or supervising trainees.</li></ul><div><b>
PREFERRED QUALIFICATIONS:</b></div><ul><li>
Experience with mammalian cell culture and molecular assays.</li><li>
Expertise in mitochondrial biology and organelle dynamics.</li><li>
Proficiency with super-resolution imaging techniques applied to questions of cell signaling or organelle communication.</li><li>
Demonstrated ability to generate ideas, design experiments, and move projects forward with minimal oversight.</li><li>
Interest in contributing to a collaborative, multi-project research environment.</li></ul><p></p><div>
The annual base salary range for this position is from $84,406 to $191,755, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.<br>
<br>
Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (up to 13 days per year), and paid parental leave (up to 4 weeks).</div>
</div></div></div><h2 class="jobSectionHeader"><b>Additional Information
</b></h2><div><div><div>We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.
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Staff Scientist

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you looking for an opportunity to build an LLM-based enterprise-grade, highly available, large scale solution? Does it excite you to find patterns and build generic, composable solutions to solve complex problems? Are you looking for inventing newer and simpler ways of building solutions? If so, we are looking for you to fill a challenging position in Alexa Enterprise (AE) team. AE brings the power of Alexa voice assistant to enterprise partners in industries such as hospitality and senior living. We tackle pressing challenges like workforce shortage. We are inventing Large Language Models (LLM)-driven interactions to create memorable moments for users while simultaneously boosting partner revenues and reinforcing brand identity. Beyond managed properties, AE extends Alexa's reach to premium third-party devices, seamlessly integrating with household names like Samsung, LG, and Sonos, thus amplifying its impact across diverse ecosystems.<br>
<br>
AE team is looking for a passionate, highly skilled and inventive Applied Scientist, with a strong machine learning background, to lead the development and implementation of state-of-the-art ML systems for Alexa Enterprise use cases.
<br>
<br>
As an Applied Scientist in the team, you will play a critical role in driving the development of conversational assistants, in particular those based on Large Language Models (LLM's), that meet enterprise standards. You will handle Amazon-scale use cases with significant impact on our customers' experiences.<br>
<br>
Key job responsibilities<br>
<ul><li>You will analyze, understand and improve user experiences by leveraging Amazon&rsquo;s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence</li><li>You will work on core LLM technologies, including developing best-in-class modeling, prompt optimization algorithms to enable Conversation AI use cases</li><li>Build and measure novel online &amp; offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints</li><li>Create, innovate, and deliver deep learning, policy-based learning, and/or machine learning-based algorithms to deliver customer-impacting results</li><li>Perform model/data analysis and monitor metrics through online A/B testing</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Alexa Enterprise

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/<br>
<br>
About Us:<br>
<br>
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.<br>
We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.<br>
<br>
interviewing tips on Instagram, and discover projects we're solving on our Blog.<br>
<br>
About the Role<br>
<br>
We are looking for an Applied Scientist to solve challenging and open-ended problems in the domain of recommendations, search, ranking and information retrieval. As an Applied Scientist on Twitch's Community team, you will use ML to help viewers find streamers and communities they&rsquo;ll love. You will collaborate with a team of passionate scientists and engineers to develop these models and put them into production, where they can help Twitch's creators and viewers succeed and build communities.<br>
<br>
You will report to the Applied Science Manager on the Community Discovery Team.<br>
<br>
You can work in San Francisco, CA or Seattle, WA.
<br>
<br>
You Will<br>
<br>
<ul><li>Develop ML algorithms for recommendations, ranking and search problems that can improve discovery on Twitch.</li><li>Collaborate with senior scientists and engineers to deploy ML code in production.</li><li>Collaborate with our Product and Engineering teams to work backwards from customer discovery problems, in order to determine the ML solution (algorithm and pipeline) that will have the biggest impact on our user base in the real world.</li><li>Participate in the scientific community at Twitch, Amazon, and the broader ML and risk community.</li></ul><br>
Perks<br>
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Maternity &amp; Parental Leave</li><li>Flexible PTO</li><li>Amazon Employee Discount</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>BS or MS or PhD in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, with relevant industry experience. We welcome applicants with non-traditional backgrounds. We welcome applicants with non-traditional backgrounds.</li><li>Hands-on experience with predictive modeling and analysis to solve real-world problems.</li><li>Proficiency with Python and Deep Learning Frameworks such as PyTorch or Tensorflow, basic proficiency with SQL.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>MS/PhD in relevant fields or a Degree with a specialization in Machine Learning.</li><li>Experience shipping your models to production.</li><li>1+ years of experience working in recommendations or search.</li><li>Papers in top ML conferences of journals such as Neurips, Recsys, ICLR, ICML etc.</li><li>Familiarity with Twitch, its business, and its community.</li></ul><br>
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist

University Of Washington

<div><p><b>Job Description
</b></p><p></p><p>As a UW employee, you have a unique opportunity to change lives on our campuses, in our state, and around the world. UW employees bring their energy, creative problem-solving skills to their work and are dedicated to building stronger minds and a healthier world. UW is committed to attracting and retaining a diverse staff, your experiences, perspectives, and unique identities will be honored at the University of Washington. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming.
</p><p></p><p>Finance, Planning, and Budgeting (FPB) encompasses the major central financial, planning, and budgeting functions for the University of Washington, including:
</p><ul><li><p>Finance &amp; Budget Strategy
</p></li><li><p>Institutional Analytics &amp; Data Support
</p></li><li><p>Policy, Planning &amp; State Operations
</p></li><li><p>University Business Services
</p></li></ul><p></p><p>As part of Finance, Planning &amp; Budgeting (FPB), the Institutional Assessment &amp; Evaluation (IAE <b>) </b>unit at the University of Washington provides a variety of evaluation and assessment services to the University community and external agencies. Services include ongoing assistance to faculty and administrators in using assessment to improve teaching and learning, coordinating institution-wide course evaluations, and scoring classroom tests.
</p><p></p><p>IAE research staff support institution-wide assessment of teaching and learning at UW by:
</p><p>1. Consulting with UW faculty, administrators, and staff to improve assessment processes within academic and student support units
</p><p>2. Carrying out applied quantitative and qualitative studies at the request of faculty and administrators
</p><p>3. Conducting original research to advance teaching and learning at UW and beyond
</p><p>4. Developing systems and applications that support essential assessment functions
</p><p>5. Coordinating assessment efforts across UW academic and student support units
</p><p></p><p>Additionally, program evaluation services are provided for both university and outside programs to inform program implementation, document progress towards program goals, and identify and measure program outcomes. These areas differ in their focus, but IAE research staff work collaboratively across all areas.
</p><p></p><p>The <b>Research Scientist 3 </b>, as a member of the research and assessment team of IAE, will take primary responsibility for one or more specific projects while playing a supportive role for others. This individual is involved in all aspects of ongoing projects including identifying and defining research questions, developing overall research strategies, creating and administering surveys, creating protocols, conducting interviews and focus groups, and analyzing and reporting both quantitative and qualitative data. Project management is an important aspect of this position, including networking with potential clients, effective communication with existing clients, accurate estimation and monitoring of costs and researcher time, and documentation of project activities. This individual will also represent IAE to both internal and external clients.
</p><p></p><p>Reporting to the Director of IAE, the Research Scientist has the following responsibilities:
</p><p></p><p><b>Duties &amp; Responsibilities:
</b></p><p>The majority of the work for the Research Scientist involves conducting research projects for clients and the university, including the following duties:
</p><p></p><p><b>Project Development
</b></p><ul><li>Provide consultation services for projects or programs in early stages of development
</li><li>Identify problems and related technical issues, leading to long-term solutions; recommend technical approaches to meet sponsor or institutional needs
</li><li>Manage projects of moderate size and scope; make substantial contributions to determining feasibility of goals and objectives
</li><li>Develop opportunities for new projects and expansion of services
</li>Maintain research relationships to identify opportunities and contribute to proposal development<br>
<li>
</li></ul><p></p><p><b>Project Planning and Management
</b></p><ul><li>Assist in developing research and evaluation study designs based on project goals, stakeholder needs, fiscal resources, and sponsor requirements
</li><li>Prepare supporting materials such as contracts, budgets, cost estimates, and invoices in conjunction with the director and office administrator
</li><li>Monitor and document staff time and fiscal resource use to ensure alignment with project plans and cost estimates
</li><li>Collaborate with other members of the research team to identify areas of shared responsibility and develop project management strategies
</li><li>Create, monitor, and implement effective research activity plans for tasks of moderate size and scope
</li><li>Complete Human Subjects Review paperwork
</li><li>Define and a) pull or b) request data extractions from UW student, fiscal, and employment databases
</li></ul><p></p><p><b>Project Implementation and Reporting
</b></p><ul><li>Provide as-needed assistance for data collection activities such as survey administration, note-taking, and related tasks
</li><li>Build and manage data files for both simple and moderately complex analyses, including longitudinal and cross-project datasets
</li><li>Conduct statistical analyses using standard and moderately advanced quantitative and qualitative methods and assist in interpreting results
</li><li>Prepare written reports, technical documents, and oral presentations tailored to a variety of constituencies
</li><li>Contribute to proposals, publications, and presentations as author or co-author
</li>Present findings to colleagues, stakeholders, and small groups<br>
<li>
</li></ul><p></p><p>The Research Scientist will remain current on educational research/higher education trends and engage in administrative activities within IAE and the larger UW community, including:<br>
</p><p></p><p><b>Professional Development
</b></p><ul><li>Maintain up-to-date knowledge about relevant techniques, methods, and higher education research trends
</li><li>Engage in ongoing professional development including reviewing literature, attending workshops, and presenting at conferences
</li><li>Contribute to reports, proposals, and publications as author or co-author; may prepare papers for submission to scholarly journals
</li>Participate in professional networks to share expertise and stay informed about new research opportunities<br>
<li>
</li></ul><p></p><p><b>Team Responsibilities
</b></p><ul><li>Organize work, both paper and electronic, to ensure accessibility by colleagues
</li><li>Attend bi-weekly research staff meetings and contribute to group discussions
</li><li>Participate in office activities including quarterly IAE staff meetings and monthly IADS and FPB All Division meetings
</li><li>Contribute to FPB and university-wide committees and task forces as assigned
</li><li>Maintain shared calendars and other collaborative tools to support project coordination
</li><li>Interact collaboratively with colleagues to accomplish organizational goals and contribute to positive working relationships
</li><li>Provide ideas to improve efficiency at the group and department levels
</li></ul><p></p><p><b>Supervisory Responsibilities
</b></p><ul><li>May supervise graduate research assistants or associates and provide mentorship to undergraduate students working on independent research projects
</li><li>Monitor the work of student employees or assistants and redirect efforts as needed to achieve project objectives
</li><li>Mentor students in the development of technical, research, and professional skills
</li></ul><p></p><p><b>Requirements:
</b></p><ul><li>Bachelor&rsquo;s in Education, Psychology, or another relevant social science field and four years of relevant experience
</li><li>Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, or registration
</li></ul><p></p><p><b>Additional Requirements
</b></p><ul><li>Exceptional communication, presentation, and writing skills
</li><li>Demonstrated excellence in quantitative and qualitative research and data analysis skills, including expertise in multivariate statistics and survey design and administration
</li><li>Proficiency in at least one statistical analysis software (e.g., SPSS, R, STATA, SAS).
</li>Proficiency with Qualtrics survey software or equivalent<br>
<li>
</li></ul><p></p><p><b>Desired Qualifications
</b></p><ul><li>Master&rsquo;s degree in Education, Psychology, or another relevant social science field
</li><li>Two to three years of experience in post-secondary research or assessment beyond the minimum requirements
</li><li>Doctorate degree in Education, Psychology, or another relevant social science field
</li><li>Three to five years of experience in post-secondary research or assessment beyond the minimum requirements
</li><li>Working knowledge of applied psychometrics and other measurement theories (e.g., item response theory)
</li><li>Proficiency utilizing transactional databases (e.g., SQL)
</li><li>College-level teaching or administrative experience
</li><li>Demonstrated deep understanding of higher education literature related to teaching and learning
</li></ul><p></p><p><b>Compensation, Benefits and Position Details
</b></p><p></p><p><b>Pay Range Minimum:
</b></p>$72,288.00 annual
<p><b>Pay Range Maximum:
</b></p>$93,000.00 annual
<p><b>Other Compensation:
</b></p><ul><li></li></ul><p><b>Benefits:
</b></p>For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
<p><b>Shift:
</b></p>First Shift (United States of America)
<p><b>Temporary or Regular?
</b></p>This is a regular position
<p><b>FTE (Full-Time Equivalent):
</b></p>100.00%
<p><b>Union/Bargaining Unit:
</b></p>UAW Research
<p></p><p><b>About the UW
</b></p><p></p><p>Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
</p><p></p><p>UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
</p><p></p><p><b>Our Commitment
</b></p><p></p><p>The University of Washington is proud to be an affirmative action and equal opportunity employer . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.
</p><p></p><p>To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
</p><p></p><p>Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</p></div>

Research Scientist 3

<div><p><b>Job Description
</b></p><p></p><p><b><i>This recruitment offers a $3,000 - $4,000 sign-on bonus for eligible new employees joining the UW Medicine team.
</i></b></p><p></p><p><b>Who we&rsquo;re looking for:
</b></p><p>The UW Medicine - Department of Laboratory Medicine &amp; Pathology (DLMP) in Seattle, WA has a fantastic opportunity for a <b>Medical Laboratory Scientist (MLS) Trainee/1 </b>with the <b>Microbiology Team </b>at the University of Washington Medical Center - Montlake.
</p><p></p><p>The MLS Trainee/1 plays a key role in improving the health of our patients by reporting pathogens and susceptibility information to providers by using many of the latest methods for identification and susceptibility testing.
</p><p></p><p><b>Work schedule:
</b></p><ul><li>60% FTE (24 hours per week)
</li><li>Schedule to be discussed with the hiring manager
</li><li>Day shift
</li></ul><p></p><p><b>What you&rsquo;ll contribute:
</b></p><ul><li>Perform various tests for the identification of bacteria, yeast, mold and parasites on the routine benches per laboratory protocols. Perform susceptibility tests (disk diffusion, E-test, MIC and other methods as required) on pathogens per laboratory protocols.
</li><li>Prepare, evaluate, and report direct smears, including but not limited, to Gram stains, KOH preps, Pneumocystis DFA stains, Auramine-O stains, Kinyoun stains and Wright/Giemsa.
</li><li>Perform various serological procedures including PCR, EIA and latex agglutinations.
</li><li>Rotate and maintain competency in all sections where trained.
</li><li>Understand and operate a variety of laboratory equipment (i.e. automated blood culture system, mass spectrometry instrument, automated susceptibility system, Verigene, BioFire, Cepheid Gene Xpert, microscopes, biological safety cabinet and anoxomat) and perform basic maintenance and troubleshooting.
</li><li>Exhibit a working knowledge of the laboratory information system software and teach it to others.
</li><li>Understand quality control requirements and follow policies to validate results.
</li><li>Work independently to manage average workloads and know when to request assistance in case of heavier workloads.
</li><li>Perform work accurately and precisely and recognizes, corrects and documents errors when they occur.
</li><li>Interact with health care providers in a professional manner.
</li><li>Know what results are critical or reportable and follow the policies and procedures for reporting them to appropriate medical staff, epidemiology or Public Health Laboratory.
</li><li>Assist with the evaluation of new tests/equipment and research projects as required.
</li><li>Instruct new employees, medical laboratory scientist students, medical students, residents and fellows in routine procedures.
</li><li>Participate in continuing education and maintain certification by attending DLMP seminars, in services, staff meetings and/or by reading scientific journals and participating in CAP proficiency surveys.
</li></ul><p></p><p><b>What you&rsquo;ll need:
</b></p><p><i>Requirements for an MLS Trainee </i>:
</p><ul><li>Accredited bachelor's degree in Medical Laboratory Science OR equivalent education/experience <b><i>AND
</i></b></li><li>Eligible to take the Medical Laboratory Scientist or categorical certification examination from the American Society for Clinical Pathology (ASCP) within 18 months from date of hire. Failure to attain the certification within 18 months of date of hire may result in a recommendation for termination.
</li></ul><p></p><p><i>Requirements for an MLS 1 </i>:
</p><ul><li>Accredited bachelor&rsquo;s degree in Medical Laboratory Science OR equivalent education/experience <b><i>AND
</i></b></li><li>Current Medical Laboratory Scientist certification with the American Society for Clinical Pathology (ASCP) or equivalent certifying organization OR certification with specialty organization appropriate to the laboratory division <b><i>AND
</i></b></li><li>One (1) year of experience as a Medical Laboratory Scientist Trainee. Up to one (1) year of on-the-job experience performing clinical testing in a Medical Laboratory Science Program externship may count toward the experience requirement.
</li></ul><p></p><p><b>What we offer:
</b></p><ul><li>$3,000 - $4,000 <b>s </b>ign-on bonus available for eligible new employees joining the UW Medicine team.
</li><li>Relocation incentive for eligible new employees.
</li><li>Vacation time and sick time off that accrue monthly, including 12 paid holidays.
</li><li>State Employee Tuition Exemption Program covering up to 6 credits of qualifying coursework per quarter at the University of Washington or other participating colleges or universities.
</li><li>Fully subsidized public transit pass (U-PASS) that covers multiple forms of public transportation in the region.
</li><li>Excellent healthcare, dental, disability, retirement, and other plan options.
</li><li>Lots of free fantastic fitness, healthy eating, finance, and stress reduction classes offered through the Whole U.
</li><li>And much more!
</li></ul><p></p><p><b>About the Department of Laboratory Medicine &amp; Pathology:
</b></p><p>A regional resource for clinical laboratory services required for innovative patient care, research and educational programs, the <b>Department of Laboratory Medicine &amp; Pathology </b>at UW Medicine combines the sophisticated testing and informatics capabilities of fully accredited laboratories with the resources of an academic institution in its delivery of clinical and anatomic pathology services. Recognized for excellence in clinical training, world-class research initiatives, and a commitment to community service, we serve labs and medical facilities both nationally and internationally.
</p><p></p><p>Please visit our website to learn more about our department.
</p><p></p><p><b>About UW Medicine:
</b></p><p>UW Medicine is Washington&rsquo;s only health system that includes a top-rated medical school and an internationally recognized research center. UW Medicine&rsquo;s mission is to improve the health of the public by advancing medical knowledge, providing outstanding primary and specialty care to the people of the region, and preparing tomorrow&rsquo;s physicians, scientists and other health professionals.
<br>
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All across UW Medicine, our employees collaborate to perform the highest quality work with integrity and compassion and to create a respectful, welcoming environment where every patient, family, student and colleague is valued and honored. Nearly 29,000 healthcare professionals, researchers, and educators work in the UW Medicine family of organizations that include Harborview Medical Center, UW Medical Center - Montlake, UW Medical Center - Northwest, Valley Medical Center, UW Medicine Primary Care, UW Physicians, UW School of Medicine, and Airlift Northwest.
</p><p></p><p>Become part of our team . Join our mission to make life healthier for everyone in our community.
</p><p></p><p><b>Compensation, Benefits and Position Details
</b></p><p></p><p><b>Pay Range Minimum:
</b></p>$75,420.00 annual
<p><b>Pay Range Maximum:
</b></p>$111,132.00 annual
<p><b>Other Compensation:
</b></p><ul><li></li></ul><p><b>Benefits:
</b></p>For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
<p><b>Shift:
</b></p>First Shift (United States of America)
<p><b>Temporary or Regular?
</b></p>This is a regular position
<p><b>FTE (Full-Time Equivalent):
</b></p>60.00%
<p><b>Union/Bargaining Unit:
</b></p>SEIU Local 925 Healthcare Prof/Lab Tech
<p></p><p><b>About the UW
</b></p><p></p><p>Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
</p><p></p><p>UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
</p><p></p><p><b>Our Commitment
</b></p><p></p><p>The University of Washington is proud to be an affirmative action and equal opportunity employer . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.
</p><p></p><p>To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
</p><p></p><p>Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</p></div>

Medical Laboratory Scientist Trainee/1, UWMC - Montlake Microbiology

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
<br>
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
<br>
<br>
As a Prime Video technologist, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
<br>
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We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!<br>
<br>
Key job responsibilities<br>
As Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), natural language processing (NLP), multimedia understanding and so on. You&rsquo;ll work on diverse projects that enhance Prime Video&rsquo;s recommendation systems, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include:<br>
<ul><li>Lead cutting-edge research in computer vision and natural language processing, applying it to video-centric media challenges.
</li><li>Develop scalable machine learning models to enhance media asset generation, content discovery, and personalization.
</li><li>Collaborate closely with engineering teams to integrate your models into production systems at scale, ensuring optimal performance and reliability.
</li><li>Actively participate in publishing your research in leading conferences and journals.
</li><li>You will shape the research strategy, create forward-looking roadmaps, and effectively communicate progress and insights to senior leadership</li><li>Stay up-to-date with the latest advancements in AI and machine learning to drive future research initiatives.</li></ul><br>
About the team<br>
At Prime Video, we strive to deliver the best-in-class entertainment experiences across devices for millions of customers. Whether it&rsquo;s developing new personalization algorithms, improving video content discovery, or building robust media processing systems, our scientists and engineers tackle real-world challenges daily. You&rsquo;ll be part of a fast-paced environment where experimentation, risk-taking, and innovation are encouraged.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Prime Video

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