research scientist ii, special projects Jobs in Seattle United States

research scientist ii, special projects

scientist i - alzheimer's disease Jobs in Seattle United States

scientist i - alzheimer's disease

scientist i - data and knowledge coordination Jobs in Seattle United States

scientist i - data and knowledge coordination

scientist, predictive biology and ai Jobs in Seattle United States

scientist, predictive biology and ai

senior manager, data science, generative ai innovation center Jobs in Seattle United States

senior manager, data science, generative ai innovation center

scientist i data and knowledge coordination

ALLEN INSTITUTE

<div>Scientist I - Data and Knowledge Coordination &ndash; Human Cell Types
The mission of the Allen Institute is to understand the principles that govern life, and to advance health. Our creative and multi-dimensional teams focus on answering some of the biggest questions in bioscience. We accelerate foundational research, catalyze bold ideas, develop tools and models, and openly share our science to make a broad, transformational impact on the world.
The mission of the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through the integration of experiments, modeling, and theory.
The Seattle Alzheimer&rsquo;s Disease Brain Cell Atlas (SEA-AD) consortium strives to achieve a deep molecular and cellular understanding of the early pathogenesis of Alzheimer&rsquo;s disease (AD). Leveraging advances in quantitative neuropathology and next-generation single cell molecular profiling technologies we are generating large-scale data sets from well-characterized donors that span the spectrum of AD pathology to comprehensively map human brain cell types across aging and disease. These data along with tools for their use are made freely and publicly available.
We seek to hire a Scientist to manage the transition of multimodal data from several SEA-AD consortium sites into a centralized database at the Allen Institute (&quot;data ingest&quot;), and to transition data and associated knowledge from SEA-AD to the scientific community through existing and novel web products to be hosted on SEA-AD.org (&quot;knowledge egress&quot;). This position will collaborate both (1) with the dynamic team of quantitative and experimental scientists in SEA-AD to understand the relevant data and science and (2) with product managers and software engineers in the Allen Institute's Data and Technology (D&amp;T) team to understand where SEA-AD needs align with existing Allen Institute infrastructure. In cases where novel data ingest systems or web products are needed, this position will be responsible for creating them in collaboration with other SEA-AD and D&amp;T team members. The position provides the opportunity to interact with a diverse group of individuals, and the role will contribute to key components of the project.
At the Allen Institute, we believe that science is for everyone &ndash; and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.
We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.
Essential Functions
<ul><li>Interact with SEA-AD scientists to document data processing protocols and metadata fields from all SEA-AD sites</li>
<li>Participate in designing a centralized database with aligned terms and facilitate ingest of multimodal data from all SEA-AD sites therein; as needed, develop novel scripts and graphical user interfaces</li>
<li>Interface with the SEA-AD team to understand and develop tools and resources for sharing SEA-AD data and knowledge</li>
<li>Interface with the D&amp;T team to understand how each request aligns with the product roadmap; develop interactive prototypes for desired web products to stand alone or be integrated with existing D&amp;T efforts</li>
<li>Compile a shareable codebase for collaborative science</li>
<li>Participate in a highly interactive and multidisciplinary environment</li>
</ul>
Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management&rsquo;s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.
Required Education and Experience
<ul><li>Ph.D. in Neuroscience, Bioinformatics, Genetics, Data Science, Software, Computer Science, Applied Math, or related field; or equivalent combination of degree and experience</li>
<li>Fluency programming in R and/or Python and Bash/LINUX</li>
<li>Previous work on studying a biological system or disease</li>
</ul>
Preferred Education and Experience
<ul><li>Previous work in Alzheimer's disease</li>
<li>Fluency in databasing solutions (e.g., SQLite, MongoDB, Microsoft Access)</li>
<li>Fluency with GitHub (or other version control system)</li>
<li>Experience in website design or other visual arts, including (but not limited to) tools for interactive graphics (e.g., R Shiny, Streamlit, Panel, React, Tableau, Observable)</li>
<li>Proven independent thinking</li>
<li>Strong publication track record</li>
<li>Strong organizational skills</li>
<li>Ability to work in a collaborative environment</li>
<li>Strong verbal and written communication skills</li>
</ul>
Physical Demands
<ul><li>Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment</li>
</ul>
Position Type/Expected Hours of Work
<ul><li>This position is funded until 2030 through a grant awarded by the NIA</li>
<li>This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State</li>
</ul>
Additional Comments
<ul><li>**Please note, this opportunity offers relocation assistance**</li>
<li>**Please note, this opportunity may offer work visa sponsorship**</li>
</ul>
Annualized Salary Range
$86,150 - $106,650*
<ul><li>Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.</li></ul>
Benefits
Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute&rsquo;s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute&rsquo;s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute&rsquo;s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified</div>

Scientist I - Data and Knowledge Coordination

<div>Scientist I &ndash; Human Cell Types - Alzheimer's Disease
The mission of the Allen Institute is to understand the principles that govern life, and to advance health. Our creative and multi-dimensional teams focus on answering some of the biggest questions in bioscience. We accelerate foundational research, catalyze bold ideas, develop tools and models, and openly share our science to make a broad, transformational impact on the world. The mission of the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through the integration of experiments, modeling, and theory.
The Seattle Alzheimer&rsquo;s Disease Brain Cell Atlas (SEA-AD) consortium strives to achieve a deep molecular and cellular understanding of the early pathogenesis of Alzheimer&rsquo;s disease (AD). Leveraging advances in quantitative neuropathology and next-generation single cell molecular profiling technologies we are generating large-scale data sets from well-characterized donors that span the spectrum of AD pathology to comprehensively map human brain cell types across aging and disease. These data along with tools for their use are made freely and publicly available. We are seeking a highly motivated Scientist to contribute to this effort by designing and executing experiments at the interface of neuroanatomy, single-cell genomics, and histology. The Scientist will generate precisely dissected, high-quality human brain tissue samples, optimize and validate molecular and single-cell assays, and execute experiments (e.g., in situ hybridization, immunostaining) to validate computational findings. Working closely with experts in neuropathology, spatial transcriptomics, and computational analysis, the Scientist will help advance high-resolution molecular atlases of the human brain in health and disease. The ideal candidate will have a strong foundation in molecular neuroscience, experience with single-cell transcriptomic and/or epigenomic assays, and a working knowledge of Alzheimer&rsquo;s disease biology. Familiarity with human neuroanatomy and enthusiasm to deepen anatomical expertise are also essential.
At the Allen Institute, we believe that science is for everyone &ndash; and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.
We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.
Essential Functions
<ul><li>Contribute to the design and execution of large-scale single-cell genomics experiments
</li><li>Participate in the development and testing of new single-cell methods and protocols</li>
<li>Optimize protocols for challenging samples, troubleshoot workflows for variable tissue quality, and evaluate tissue and sequencing library quality using standard metrics
</li><li>Conduct basic analysis of single-cell genomics data, including benchmarking of new methods
</li><li>Design and execute experiments to validate and extend computational results and generate novel biological insights</li>
<li>Present progress in group meetings and at scientific conferences, and contribute to peer-reviewed publications</li>
<li>Assist in management of tissue acquisition and sample tracking
</li><li>Maintain meticulous experimental records to ensure reproducibility across tissue donors and adherence to best practices for tissue handling, biosafety, and data integrity</li>
<li>Actively contribute to a collaborative environment focused on scientific rigor and methodological innovation</li>
</ul>
*Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management&rsquo;s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.*
Required Education and Experience
<ul><li>PhD degree in Neuroscience, Molecular Biology, Genomics, or related field, or equivalent combination of degree and experience</li>
<li>Demonstrated experience conducting independent experimental research and interpreting complex biological data</li>
<li>Broad knowledge of and experience with single-cell genomics platforms</li>
</ul>
Preferred Education and Experience
<ul><li>Proficiency in independently conducting single-cell genomics assays</li>
<li>Hands-on experience with human postmortem or surgical brain tissue, including dissection, nuclei isolation, and nucleic acid extraction
</li><li>Proven ability to troubleshoot complex molecular biology protocols and optimize workflows for variable sample quality</li>
<li>Basic experience or familiarity with multicolor flow cytometry</li>
<li>Basic familiarity with human neuroanatomy and willingness to expand anatomical knowledge</li>
<li>Proficiency in tissue sectioning, histological stains, and/or immunofluorescence panel optimization
</li><li>Ability to capture and analyze high-quality images using confocal or fluorescence microscopy and to quantify results with ImageJ/Fiji, QuPath, or similar applications</li>
<li>Experience with Python and/or R for basic data analysis and visualization and an understanding of core single-cell data analysis concepts (e.g., QC, clustering, marker identification)</li>
<li>Working knowledge of AD pathology and molecular mechanisms of disease</li>
<li>Excellent communication skills and comfort working in large, multidisciplinary teams to pursue collaborative research goals
</li><li>Strong quantitative and organizational skills, with attention to data quality and integrity</li>
</ul>
Work Environment
<ul><li>Laboratory environment - possible chemical, biological, or other hazardous substances exposure
</li><li>Possible exposure to BioSafety Level 2 organisms, such as recombinant viruses</li>
<li>This may include wearing personnel protective equipment (PPE)</li>
<li>Working with dry ice or liquid nitrogen</li>
<li>Sample handling of the following material, including but not limited to: human brain tissues, non-human primate brain tissues, human whole blood, PBMCs, plasma, nucleic acids, and cells</li>
</ul>
Physical Demands
<ul><li>Occasional lifting up to 30 pounds</li>
<li>Fine motor movements in fingers/hands to operate computers and other office equipment, repetitive motion with lab equipment</li>
<li>Stooping, bending, crouching
</li><li>Reaching or climbing ladders
</li></ul>Position Type/Expected Hours of Work
<ul><li>This role is currently working onsite and is expected to work onsite for the majority of working hours. The primary work location for this role is 615 Westlake Ave N., with the flexibility to work remotely on a limited basis.
</li></ul>Additional Comments
<ul><li>**Please note, this opportunity offers relocation assistance**</li>
<li>**Please note, this opportunity may offer work visa sponsorship**</li>
</ul>
Annualized Salary Range
$86,150 - $106,650*
<ul><li>Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.</li></ul>
Benefits
Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute&rsquo;s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute&rsquo;s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute&rsquo;s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities</div>

Scientist I - Alzheimer's Disease

<div>Description
Senior Scientist &ndash; Structured Decision-Making (SDM) Quantitative Fish Biologist
Location: San Francisco, Sacramento, or Remote 
Team: Fish and Aquatic Science and Technology (FAST) at ICF
About the Opportunity
ICF is growing! We&rsquo;re looking for a Senior Scientist with expertise in structured decision-making, quantitative fisheries biology, and advanced statistical modeling. Join our team to lead innovative research, mentor talented colleagues, and make a real impact on fisheries science in the Northern California and the Pacific Northwest.
What You&rsquo;ll Do
Lead Research &amp; Analysis: Design studies, analyze complex biological data, and develop advanced models for a variety of fish species.
Drive Innovation: Identify and pursue new research opportunities, focusing on applied quantitative modeling and structured decision-making.
Mentor &amp; Collaborate: Guide junior staff, facilitate decision-making processes, and work closely with the FAST team.
Communicate &amp; Represent: Present findings at scientific conferences, publish peer-reviewed papers, and contribute to regulatory documents.
Project Leadership: Manage multiple projects, serve as Project/Task Lead, and maintain strong client relationships.
Proposal Development: Write proposals, develop project scopes, and manage budgets for new research initiatives.
Field &amp; Data Work: Balance time between data analysis and fieldwork in streams or on boats as needed.
Basic Qualifications<ul><li>
Bachelor&rsquo;s Degree</li><li>
8+ years of experience in fisheries biology, with a proven record of research funding and project leadership</li></ul>
Additional Skills/Experience<ul><li>
Advanced Degree in fisheries, biology, or a related discipline preferred</li><li>
Expertise in statistical modeling, machine learning, and simulation using R and Python</li><li>
Demonstrated ability to manage and analyze large datasets, create visualizations, and communicate results effectively</li><li>
Strong leadership skills, including mentoring junior staff and fostering collaboration</li><li>
Excellent organizational skills; adept at managing multiple projects with competing deadlines</li><li>
Superior verbal and written communication abilities, with a talent for presenting complex information to diverse audiences</li><li>
Recognized professional standing and network within fisheries science</li><li>
Commitment to high-quality work, professionalism, and a positive, collegial attitude</li></ul>
Why Join ICF?<ul><li>
Make a real impact on fisheries science and resource management.</li><li>
Collaborate with leading experts and contribute to meaningful environmental solutions.</li><li>
Enjoy opportunities for professional growth, leadership, and recognition in your field.</li></ul>
Working at ICF
ICF is a global advisory and technology services provider, but we&rsquo;re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.<div>
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records. 
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</div><div>
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.</div><div> 
Candidate AI Usage Policy</div><div><div>
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.</div><div>
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.</div></div> 
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$81,094.00 - $137,860.00
Washington Remote Office (WA99)</div>

Senior Structured Decision-Making Expert / Biometrician

University Of Washington

<div>Job Description
The University of Washington Tacoma is an anchor institution that is deeply invested in its local communities and in student success. As one of three campuses of a world-class university, UW Tacoma is dedicated to interdisciplinary and innovative teaching and scholarship and to engaging the community in mutually beneficial partnerships. UW Tacoma&rsquo;s commitment to access and diversity is central to an environment where students, staff, faculty and South Sound residents find abundant opportunities for intellectual, personal and professional growth. More information about UW Tacoma and its strategic plan can be found here .
As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills, and dedication to build stronger minds and a healthier world. UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits, and natural beauty.
UW Tacoma (UWT) Human Resources (HR) has an outstanding opportunity for an HR Support Specialist.
The HR Support Specialist is an essential member of the Human Resources team managing various hiring and administrative processes, ensuring smooth operations, and serving as a primary point of contact for both new hires and employees exiting the organization. This role is crucial in establishing and maintaining best practices for the HR functions it manages, ensuring compliance with organizational policies, maintaining HR systems, and tracking key HR compliance metrics, especially regarding onboarding, offboarding, and records management.
UW Tacoma is a campus of the University of Washington, with seven schools and numerous departments and services supporting its academic, student and business operations, including Advancement, Finance, Campus Security and Facilities services. The UW Tacoma HR office supports student employees and classified and professional staff in all these units, many of whom are in positions covered by bargaining units. This position works closely with partners in central HR offices on the UW Seattle campus to balance the needs of UWT and UW simultaneously.
DUTIES &amp; RESPONSIBILITIES
HR Operations Support (50%)
This role will independently manage and maintain the following programs in support of University of Washington Tacoma Human Resources:
<ul><li>Staff and Student Hires: Partner with UWT hiring managers and administrators to ensure an effective and efficient hiring process for all staff and student positions; Be the lead and main point of contact for temporary staff and student hires submitted to UWT HR; Educate and advise hiring managers on hiring process best practices by designing, developing, leading, and participating in, trainings as necessary; Work with supervisors to initiate, extend or end temporary staff and student appointments.
</li><li>New Hire Administrative Onboarding: Oversee the administrative aspects of onboarding new hires, including setting up profiles in Workday, UWT systems, and organization of new staff orientations; Guide departments to ensure proper records management and documentation; Manage new hire data entry and ensure timely updates in Workday and UWT HR systems.
</li><li>Separation Administrative Offboarding: Oversee offboarding procedures for separating employees, including updating Workday and UWT systems, coordinating systems access deactivation, and managing the secure filing of offboarding documents; Collaborate with and advise units to ensure a smooth transition for departing employees.
</li></ul>Workday Administration, Data and Reporting (25%)
<ul><li>Contribute to successful compensation actions through review of proposed compensation changes, confirmation and communication of approvals, and entry of compensation requests into Workday
</li><li>Ensure data accuracy for actions such as time entry and pay for UWT staff and student employees, and identify the appropriate Workday reports to initiate audits on a regular basis and review for corrections that may be needed; Support routine data requests from campus units and central HR; ensure data integrity in Workday.
</li><li>Educate employees and supervisors on time &amp; absence best practices by designing, developing, leading, and participating in trainings as necessary.
</li></ul>Compliance and Budget (20%)
<ul><li>Compliance Tracking: Manage and track compliance requirements related to HR processes, including onboarding, offboarding, background checks, required training courses, (Title IX, Hazing Prevention, hiring trainings, etc.) and I-9 verifications. Establish and/or maintain best practices for processes and suggest opportunities for improvement; Monitor expiration dates for key compliance documentation (e.g., I-9s, telework agreements) and ensure timely renewals; Generate and maintain reports to monitor compliance metrics and address gaps proactively.
</li><li>Primary I-9 Coordinator: Serve as the primary contact for units that need assistance completing and verifying I-9 forms for new hires; Schedule and manage I-9 appointments while coordinating with other team members who may assist with completion; Ensure compliance with all federal, state, and organizational I-9 requirements.
</li><li>Background Check and ProCard Reconciliation: Administer background check processes, ensuring all required checks are completed accurately and on time; Handle ProCard reconciliation related to HR activities, verifying transactions, and maintaining accurate financial records. 
 
</li></ul>Teamwork (5%)
<ul><li>Collaborate with the UWT HR and Finance &amp; Administration (F&amp;A) teams to improve processes and enhance service; Work in partnership with HR colleagues in meeting deadlines; Support, coordinate, and lead special projects or assignments as needed.
</li></ul>Skills and Competencies:
<ul><li>Strong attention to detail and organizational skills.
</li><li>Ability to adapt to changing business needs, conditions, and work responsibilities.
</li><li>Excellent communication, interpersonal abilities, and client service skills.
</li><li>Ability to manage multiple priorities and handle sensitive information with confidentiality.
</li></ul>Application Requirement
This recruitment requires a cover letter. Your application will not be considered unless you attach a cover letter.
MINIMUM REQUIREMENTS
<ul><li>Bachelor&rsquo;s degree and two years of HR and/or administrative experience.
</li></ul>Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
ADDITIONAL REQUIREMENTS
<ul><li>Knowledge of federal and state HR regulations and best practices.
</li><li>Proficiency with Microsoft Office Suite (Word, Excel, Outlook).
</li></ul>DESIRED QUALIFICATIONS
<ul><li>Proficiency with HRIS systems (e.g., Workday) and general HR administrative tasks.
 </li><li>Familiarity with compliance requirements for I-9 and background checks.
</li></ul>WORKING ENVIRONMENTAL CONDITIONS
<ul><li>This role typically operates in a professional office environment with hybrid opportunities for remote work. The HR Support Specialist will need to interact with various departments and manage multiple tasks.
</li></ul>Compensation, Benefits and Position Details
Pay Range Minimum:
$59,736.00 annual
Pay Range Maximum:
$68,400.00 annual
Other Compensation:
<ul><li></li></ul>Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a regular position
FTE (Full-Time Equivalent):
100.00%
Union/Bargaining Unit:
Not Applicable
About the UW
Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
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.
Our Commitment
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
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 .</div>

HR Support Specialist

Oracle

<div>At OCI, we&rsquo;re building the future of enterprise cloud. Our team designs and operates Infrastructure-as-a-Service (IaaS) technologies at global scale across a multi-tenant cloud environment. We combine the agility of a startup with the resources and stability of one of the world&rsquo;s largest enterprise software companies.
The Storage Service team is developing the next-generation storage platform to deliver low-latency, high-throughput, and highly available storage systems across 100+ global regions. Our customers run their businesses on our cloud, and our mission is to provide customers with industry-leading compute, storage, networking, database, and security capabilities.
We&rsquo;re looking for engineers who are excited by challenges in distributed systems, cloud-scale storage, data replication, and performance optimization. If you&rsquo;re passionate about building reliable, massively scalable services, this is the place for you.</div>
 <div><ul><li>Design and develop core components of the OCI Storage and Data Management Service, focusing on scalability, performance, and durability.
</li><li>Build and optimize distributed storage systems that ensure data consistency, availability, and low-latency access.
</li><li>Dive deep into the software stack&mdash;from I/O path performance to metadata consistency and replication.
</li><li>Collaborate with cross-functional teams in an agile environment to deliver high-quality features.
</li><li>Troubleshoot, debug, and optimize systems for performance and reliability.
</li></ul><div>Preferred Qualifications
</div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Computer Engineering, or a related field.
</li><li>5+ years of experience designing and delivering large-scale storage or distributed systems.
</li><li>Strong proficiency in C or C++, with solid understanding of object-oriented design principles.
</li><li>Deep knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals.
</li><li>Expertise in filesystems, storage systems, and distributed persistence technologies.
</li><li>Strong problem-solving, debugging, and performance-tuning skills.
</li><li>Prior cloud infrastructure experience is a plus.</li></ul></div>

Senior Software Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company&rsquo;s Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you&rsquo;re interested in innovating at scale to address big challenges in the world, this is the team for you. 
 
As a Research Scientist, you will work with a unique and gifted team developing exciting products for consumers and collaborate with cross-functional teams. Our team rewards intellectual curiosity while maintaining a laser-focus in bringing products to market. At the edge of both academic and applied research in this product area, you have the opportunity to work together with some of the most talented scientists, engineers, and product managers. 
 
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon&rsquo;s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. 
 
Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best. 
 
Key job responsibilities 
<ul><li>Partner with laboratory science teams on design and analysis of experiments</li><li>Originate and lead the development of new data collection workflows with cross-functional partners</li><li>Develop and deploy scalable bioinformatics analysis and QC workflows</li><li>Evaluate and incorporate novel bioinformatic approaches to solve critical business problems</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 5+ years of quantitative field research experience</li><li>Experience analyzing both experimental and observational data sets</li><li>Knowledge of R, MATLAB, Python or similar scripting language</li><li>Expertise in genomic sequence analysis, homology search, genome annotation, phylogenomics, and interpretation of those results</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience analyzing large-scale biological sequence datasets</li><li>Experience collaborating with cross-functional life sciences teams, including R&amp;D scientists, ML engineers, and lab personnel</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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 $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>

Research Scientist II, Special Projects

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you excited about joining a team of scientists building lasting solutions for Amazon customers from the ground up? Our team is using machine learning, and statistical methods to take Amazon&rsquo;s unique customer obsession culture to another level by designing solutions that change customers behavior when it comes to product search, discovery, and purchase. In order to achieve this, we need scientists who will help us build advanced algorithms that deliver first-rate user experience during customers&rsquo; shopping journeys on Amazon. These algorithms will utilize advances in Natural Language Understanding, and Computer Vision to source and understand content that customers trust, and furnish customers with the content in a way that meets their needs at any stage of their shopping journey.
 
 
Key job responsibilities 
As a Sr. Applied Scientist, you are able to use a range of science methodologies in NLP/CV to solve challenging business problems when the solution is unclear. For example, you may lead the development of reinforcement learning models such as MAB to rank content to be shown to customers based on their queries. You have a combination of business acumen, broad knowledge of statistics, deep understanding of ML algorithms, and an analytical mindset. You thrive in a collaborative environment, and are passionate about learning.
 
 
Our team utilizes a variety of AWS tools such as SageMaker, S3, and EC2 with a variety of skillsets in ML models, particularly using NLP and CV. You will bring knowledge in many of these domains along with your own specialties and skillset. 
 
Major responsibilities: 
 
<ul><li>Use statistical and machine learning techniques to create scalable and lasting systems.</li><li>Analyze and understand large amounts of Amazon&rsquo;s historical business data for Recommender/Matching algorithms</li><li>Design, develop and evaluate highly innovative models for NLP/CV.</li><li>Work closely with teams of scientists and software engineers to drive real-time model implementations and new feature creations.</li><li>Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.</li><li>Research and implement novel machine learning and statistical approaches, including NLP and Computer Vision</li></ul> 
A day in the life 
In this role, you&rsquo;ll be utilizing your NLP or CV skills, and creative and critical problem-solving skills to drive new projects from ideation to implementation. Your science expertise will be leveraged to research and deliver often novel solutions to existing problems, explore emerging problems spaces, and create or organize knowledge around them. 
 
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li><li>4+ years of applied research experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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>

Senior Applied Scientist, Creators

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