senior software engineer

research scientist ii, special projects Jobs in Seattle

research scientist ii, special projects

research scientist iii (.5fte) - mcdermott lab Jobs in Seattle

research scientist iii (.5fte) - mcdermott lab

scientist i - alzheimer's disease Jobs in Seattle

scientist i - alzheimer's disease

scientist i - data and knowledge coordination Jobs in Seattle

scientist i - data and knowledge coordination

senior research scientist

ALLEN INSTITUTE

<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

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

<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

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
About Amazon Advertising: 
Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you&rsquo;re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you&rsquo;ve come to the right place. 
 
About our team: 
Our team, CreativeX optimizations, is responsible for tailoring the visual experience of ads to each context in real time. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), reinforced learning (RL), Computer Vision, and related methods. 
 
Key job responsibilities 
We are looking for talented Applied Scientists who are adept at a variety of skills, especially with reinforcement learning and recommendations, and familiarity with LLMs, latent diffusion, or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. The role will focus on developing predictive creative recommendations along with insights to improve campaign performance and creative generation process. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring state-of-the-art research to raise the bar within the team.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><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">
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, Creative X - RAPID

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Principal Applied Scientist with a strong deep learning background, to lead the development of industry-leading technology with multimodal systems. 
 
As a Principal Scientist within the Artificial General Intelligence (AGI) organization, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions, set the standard for scientific excellence, and make decisions that affect the way we build and integrate algorithms. 
 
A Principal Applied Scientist will solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization. You are a hands-on scientific leader; develop solutions that are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility; and tackle intrinsically hard problems, acquiring expertise as needed. 
 
Principal Applied Scientists are expected to decompose complex problems into straightforward solutions. You amplify your impact by leading scientific reviews within your organization or at your location; and scrutinize and review experimental design, modeling, verification and other research procedures. You also probe assumptions, illuminate pitfalls, and foster shared understanding; align teams toward coherent strategies; and educate keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends. 
 
AGI Principal Applied Scientists help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads. You will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. 
 
Key job responsibilities 
You will be responsible for defining key research directions, inventing new machine learning techniques, conducting rigorous experiments, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. 
 
A Principal Applied Scientist will participate in organizational planning, hiring, mentorship and leadership development. You will also be build scalable science and engineering solutions, and serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Master's degree in computer science, engineering, mathematics or equivalent, or PhD</li><li>Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers.</li><li>Experience with project delivery for large, cross-functional projects with evolving requirements.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science with 10+ years of combined academic and research experience.</li><li>First&#8209;author research on scaling laws, evaluation metrics, data mixture optimization, data efficiency, neural network architectures in top-tier journals and conferences.</li><li>Functional thought leader, sought after for key tech decisions.</li><li>Can successfully sell ideas to an executive level decision maker.</li><li>Mentors and trains the research scientist community on complex technical issues.</li><li>Excellent written and spoken communication skills with successful delivery to customers</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. 
 
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. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
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 $179,000/year in our lowest geographic market up to $309,400/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>

Principal Applied Scientist, Artificial General Intelligence

Seattle Children's

<div>RESEARCH SCIENTIST III &ndash; McDermott Lab
POSITION SUMMARY:
Developmental and RNA biology of protozoan pathogens
We are seeking a research scientist to join our projects on the molecular and developmental biology of protozoan pathogens, and on the nature of human immunity to these pathogens. The project uses a combination of complementary genetic, molecular, immunological, and informatic methods, and the scientist will have direct responsibility for research activities in the lab and will also collaborate with the principal investigator to write manuscripts/grant proposals. The successful candidate will have a strong interest in cellular and molecular biology and immunology, especially with respect to protozoan pathogens, and expertise in basic cell, molecular biological, and immunological techniques. Strong written and verbal communication skills, the abilities to establish clear goals, organize and prioritize research, work with a diverse and collaborative team, and thrive within a multi-disciplinary environment are critical.
Interested applicants should provide a cover letter detailing their scientific achievements, goals, and a description of their interest, in addition to a curriculum vitae that indicates their education, experience, and qualifications. A Ph.D. or equivalent biomedical degree in cell and molecular biology and/or microbiology, experience in molecular analyses and a strong understanding of cellular processes are required.
The research is conducted in the highly interactive Seattle research environment that includes the closely located University of Washington School of Medicine, Seattle Children&rsquo;s Research Institute and Fred Hutchinson Cancer Research Center, and is carried out in collaboration with other labs both in Seattle and nationwide.
Please apply via the Institute&rsquo;s career webpage (Careers - Seattle Children's) or email suzanne.mcdermott@seattlechildrens.org. 
Required Education and Experience 
PhD Degree level in applicable science field/related field OR. Master's Degree in applicable science field/ related field plus minimum three (3) years of related experience OR. Bachelor's Degree or higher in applicable science field / related field plus minimum five (5) years of related experience with a robust publication record. Related work experience varies by lab / position, as it relates to the research projects and research field assigned to this position. 
 
Required Credentials
 
N/A. 
 
Preferred 
PhD in relevant specialty area or closely related field. Substantial prior experience in relevant area of research.
Compensation Range
$80,715.00 - $121,073.00 per year
Salary Information
This compensation range was calculated based on full-time employment (2080 hours worked per calendar year). Offers are determined by multiple factors including equity, skills, experience, and expertise, and may vary within the range provided.<div>
Disclaimer for Out of State Applicants
This compensation range is specific to Seattle, positions located outside of Seattle may be compensated differently depending on various factors.<div>
Benefits Information
Seattle Children&rsquo;s offers a generous benefit package, including medical, dental, and vision plans, 403(b), life insurance, paid time off, tuition reimbursement, and more. Additional details on our benefits can be found on our website www.seattlechildrens.org/careers/benefits.<div>
About Us
Hope. Care. Cure. These three simple words capture what we do at Seattle Children&rsquo;s &ndash; to help every child live the healthiest and most fulfilling life possible. Are you ready to engage with a mission-driven organization that is life-changing to many, and touches the hearts of all? #HOPECARECURE
As one of the nation's top five pediatric research centers, Seattle Children's Research Institute is dedicated to providing hope, care, and cures to help every child live the healthiest and most fulfilling life possible.
Our investigators are involved in hundreds of projects that cover every phase of research, from studying how diseases work to improving investigational therapies. They have pioneered groundbreaking cystic fibrosis treatments and cutting-edge cancer therapies that help a child's immune system defeat cancer, and made other major contributions to pediatric medicine.
Researchers work in close collaboration with one another, their colleagues at partner institutions including the University of Washington and Fred Hutch and our healthcare providers at Seattle Children's Hospital, one of U.S. News &amp; World Report&rsquo;s top children's hospitals. This collaboration is one of our key strengths, allowing our faculty to draw on a variety of disciplines and techniques as they pursue solutions to some of medicine's most complex problems.
We are committed to not only treating disease but to eliminating it. Help us achieve our vision of being a worldwide leader in pediatric research aimed to improve the health and well-being of children. If you are interested in a challenging career aimed at groundbreaking research, Seattle Children's Research Institute is the place for you. 
Our Commitment
Seattle Children&rsquo;s welcomes people of all experiences, backgrounds, and thoughts as this is what drives our spirit of inquiry and allows us to better connect with our patients and families. Our organization recruits, employs, trains, compensates, and promotes based on merit without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
The people who work at Seattle Children&rsquo;s are members of a community that seeks to respect and celebrate all the qualities that make each of us unique. Each of us is empowered to be ourselves.
Seattle Children&rsquo;s is proud to be an Equal Opportunity Workplace and Affirmative Action Employer.</div></div></div></div>

Research Scientist III (.5FTE) - McDermott Lab

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