medical laboratory scientist Jobs in Seattle

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applied scientist, prime video

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applied scientist, spx ai lab

clinical research coordinator i/ii Jobs in Seattle

clinical research coordinator i/ii

research 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

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

Amazon.com

<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>
<br>
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

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX AI Lab team is building the AI capabilities powering the Selling Assistant, Amazon's conversational assistant experience for Selling Partners. The Selling Assistant is a trusted partner and a seasoned advisor that&rsquo;s always available to enable our partners to thrive in Amazon&rsquo;s stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the latest advances in Generative AI, going beyond a typical chatbot to provide an intuitive, intelligent, and personalized experience to sellers running real businesses, large and small.<br>
<br>
Do you want to join an innovative group of scientists, engineers, and product managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience? Do you want to build solutions to real business problems by automatically understanding and addressing sellers&rsquo; challenges, needs and opportunities? Are you excited by the prospect of contributing to one of Amazon&rsquo;s most strategic Generative AI initiatives? If yes, then you may be a great fit to join the SPX AI Lab team.<br>
<br>
Key job responsibilities<br>
<ul><li>Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed.</li><li>Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.</li><li>Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.</li><li>Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation.</li><li>Research and implement novel machine learning and statistical approaches.</li><li>Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.</li></ul><br>
About the team<br>
SPX AI Lab is a growing team of scientists driving the research and development of the next generation of GenAI experiences that empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon&rsquo;s policies and taking actions to grow their business.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building machine learning models or developing algorithms for business application 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 in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience in investigating, designing, prototyping, and delivering new and innovative system solutions</li><li>Experience in developing Generative AI applications.</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, SPX AI Lab

Uber

<div><b>About the Role</b>
<br>
<br>
Have you ever ordered a car service on Uber, and when the ride arrives, wondered how it got to you so fast? Ever ordered food on UberEats and wondered where the driver was before receiving your order and how long it took to get to the restaurant or if your order was ready when the courier arrived? Ever wondered why your grocery delivery from Uber always has the best apple picked?
<br>
<br>
If so, Uber is for you. In our ML and Science division, we strive to make magic within Uber's marketplace. This requires judgment to make difficult trade-offs, blending algorithms with human resourcefulness, and the ability to build simplicity from complexity. When we get the balance right for everyone, Uber magic happens. We build systems to peer into the future to craft the most cost-efficient marketplace for matching supply and demand. We are passionate about using innovative economics, machine learning, and scalable distributed software that automates and optimizes every aspect of this intricate dance between participants of the marketplace.
<br>
<br>
We are involved in every stage of the product development cycle and use data to inform product decisions, build models to power our solutions, and also develop platform tools that are used across teams with a primary focus on Mobility and Delivery. We work with millions of earners across the globe to make this magic happen and want you to join us!
<br>
<br>
<b>About the Team</b>
<br>
<br>
Earners (drivers and couriers) are an integral part of Uber's multi-sided marketplace. They provide the time and the means to move people and things. Importantly, they enable the connection between the physical and digital world to make the movement happen at the push of a button for everyone, everywhere.
<br>
<br>
Within Uber, Earner Growth plays a critical role in earners' journey as the team is responsible for earner onboarding, activation, early life cycle, and resurrection. This presents the teams with the opportunity to shape and tailor the product experience during earners' many firsts (i.e., first time interacting on the Uber platform, choosing the earning opportunity, going online, receiving incentive offers, completing a trip, or reading the earnings summary). These firsts can be daunting.
<br>
<br>
Therefore, making sure that the earner journey is great at every touch point is important to build trust with Earners, communicate Uber's value proposition, and ensure each firsts to be a great experience.
<br>
<br>
<b>What You'll Do</b>
<ul><li>Build statistical, optimization, and machine learning models
</li><li>Develop innovative new earner incentives that earners for choosing our network and optimizing Uber's new earner incentives spend
</li><li>Optimize Uber's background check spend and onboarding funnel
</li><li>Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
</li><li>Develop matching algorithms for driver to driver mentorship program
</li><li>Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
</li><li>The team employs a variety of ML/AI techniques, spanning from causal ML meta learners, supervised ML, RL multi-armed bandits, genAI LLM to deep learning embeddings to build impactful data products.
</li><li>Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.
</li><li>Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product.
</li></ul><b>Basic Qualifications</b>
<ul><li>PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
</li><li>4 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling.
</li><li>Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++).
</li><li>Experience with any of the following: Spark, Hive, Kafka, Cassandra.
</li><li>Experience building and productionizing innovative end-to-end Machine Learning systems.
</li><li>Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design.
</li><li>Experience working with cross-functional teams(product, science, product ops etc).
</li></ul><b>Preferred Qualifications</b>
<ul><li>5+ years of industry experience in machine learning, including building and deploying ML models.
</li><li>Publications at industry recognized ML conferences.
</li><li>Experience in modern deep learning architectures and probabilistic modeling.
</li><li>Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, causal ML meta learners, genAI LLM.
</li>Expertise in the design and architecture of ML systems and workflows.<br>
<li>
</li></ul><br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr. Machine Learning Engineer, Earner Growth

<div><div><div><div><div><div><div>Job ID</div>
<div>30066
</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>Post-Doctoral Research Fellows and Associates
</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>
A postdoctoral position is immediately available in the Hsieh Lab at the Fred Hutchinson Cancer Center. The core focus of the Hsieh Lab is to interrogate the mechanisms by which post-transcriptional gene regulation governs cancer cell behavior at a molecular, cellular, and organismal level (Hsieh et al. Nature 2012, Schuster and Hsieh Trends in Cancer 2019, Liu et al. Science Translational Medicine 2019, Lim et al. Nature Comms 2021, Jana et al. Cancer cell 2023). The laboratory places a high emphasis of novel discoveries and academic development.</div>
</div></div></div><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><div><div><div><div>For this position, the applicant will utilize murine and human genetics, whole transcriptome ribosome profiling, MSR-seq, functional genomics, RNA labeling/sequencing techniques, TMT mass spectrometry, various cellular and molecular assays, and a one-of-a-kind biorepository of primary and metastatic human prostate and bladder cancer samples to understand how the translation apparatus controls normal physiology and promotes cancer phenotypes.</div><div></div><div><br>
Fred Hutch has more than 200 postdoctoral fellows working in labs across all five research divisions. We provide postdocs with the opportunity to work on the cutting edge of biomedical research in a supportive, collaborative environment with faculty and staff who are dedicated to helping their trainees achieve their career goals. In addition, both the Student/Postdoc Advisory Committee and the Office of Scientific Career Development offer diverse mentoring and career development opportunities.</div>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2><div><div><div><div><b>MINIMUM QUALIFICATIONS:</b></div><ul><li>
We are looking for exceptional candidates with a recent PhD and/or MD, a record of productive research, and the ability to work independently as well as in collaborative research efforts.</li></ul><div><b>
PREFERRED QUALIFICATIONS:</b></div><ul><li>
A strong background in murine work, high throughput methods, RNA biology, and/or computational biology are highly desirable. Excellent verbal and written communication skills are required.</li></ul><div><b><br>
Please include a CV and a brief cover letter describing your research interests and career goals.</b></div><p></p><div><br>
The annual base salary range for this position is from $77,976 to $95,014, and pay offered will be based on experience and qualifications.</div><div></div><div><br>
This position may be eligible for relocation assistance.</div><div></div><div><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, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (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.
</div></div></div><div><h2 class="jobSectionHeader"><b>Options</b></h2>
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Post-Doctoral Research Fellow - Hsieh Lab

<div><div><div><div><div><div><div>Job ID</div>
<div>30057
</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>Biostatistics, Bioinformatics and Computational Biology
</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 goal of its Public Health Sciences Division, which is home to the nation&rsquo;s oldest program devoted to cancer prevention research, is to identify strategies that would ultimately reduce the incidence of and mortality from cancer and other diseases.</div>
</div></div></div><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><div><div><div><p>The successful applicant will work closely with Dr. Yingqi Zhao, and other collaborators to develop statistical and machine learning methods for medical decision-making in cancer prevention and early detection. Key areas of focus include, but are not limited to, designing clinical decision rules for cancer early detection using real-world data such as Electronic Medical Records (EMRs), developing AI tools for integrating multimodal data in early detection, and developing EMR-based algorithms to identify high-risk populations. The applicant will have the opportunity to engage in research across a wide range of statistical areas and will gain access to data from various real-world studies. These efforts will result in both methodological and collaborative publications in high-quality, peer-reviewed journals.</p>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2><div><div><div><div><b>MINIMUM QUALIFICATIONS:</b></div><ul><li>
Suitable applicants should complete (or nearly complete) a Ph.D. or equivalent in Statistics, Biostatistics, or a similar quantitative field prior to their appointment.</li><li>
The candidate should have solid training in statistical methods and computational skills.</li><li>
Experience with real-world data analysis, AI and machine learning, causal inference, and precision medicine are plus.</li></ul><div>
Please include the following materials in your application:</div><ul><li>
CV;</li><li>
Two (2) publication samples or preprints;</li><li>
Contact information for three (3) references.</li></ul><p></p><div>
The annual base salary range for this position is from $77,976 to $95,014, and pay offered will be based on experience and qualifications.</div><div></div><div><br>
This position may be eligible for relocation assistance.</div><div><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, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (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.
</div></div></div><div><h2 class="jobSectionHeader"><b>Options</b></h2>
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Post-Doctoral Research Fellow

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