senior research engineer

Cato Institute

<div>Description:

The Cato Institute seeks qualified candidates for the Senior Research Engineer, Applied AI position. AI tools are proliferating rapidly. Making them genuinely useful for policy research requires someone who bridges the gap between what these systems have the potential to do with the breadth, depth, precision, and traceability that good research demands.
The Cato Institute has already begun creating AI-enhanced research capabilities. The Senior Research Engineer, Applied AI, joins that effort as Cato&rsquo;s first dedicated engineering position focused on the research domain &mdash; a role with significant latitude to shape how research technology evolves at Cato.
The Senior Research Engineer closely partners with research teams, understanding their problems and identifying where AI and other advanced methods can make a real difference.
And the Senior Research Engineer gets their hands dirty, building state-of-the-art, research-grade tooling and capabilities &mdash; such as context engineering architectures, AI output benchmarking tools, and literature discovery systems.
Project priorities emerge through consultation between the Senior Research Engineer, the CTA, and research leadership &mdash; a process that will take shape as this new role matures, and the Senior Research Engineer will play an active part in shaping it.
The projected salary range for this role is $100,000 - $190,000 per year.
Compensation is based on the successful candidate's educational background, experience, and skills.
About Cato
The Cato Institute is a public policy research organization &mdash; a think tank &mdash; dedicated to the principles of individual liberty, limited government, free markets, and peace. Its scholars and analysts conduct independent, nonpartisan research on a wide range of policy issues.
Founded in 1977, Cato owes its name to Cato&rsquo;s Letters, a series of essays published in 18th-century England that presented a vision of a society free from excessive government power. Those essays inspired the architects of the American Revolution. And the simple, timeless principles of that revolution &mdash; individual liberty, limited government, and free markets &mdash; turn out to be even more powerful in today&rsquo;s world of global markets and unprecedented access to information than Jefferson or Madison could have imagined. Social and economic freedom is not just the best policy for a free people, it is the indispensable framework for the future.
Cato Institute is an Equal Opportunity Employer.
Responsibilities<ul><li>
Organize and support a cross-department working group to:</li></ul><ul><li>Identify opportunities for AI-enhanced research methods</li><li>Establish best practices, training materials, and reusable templates that help scholars leverage AI tools effectively</li></ul><ul><li>
Build research tools and multi-step AI workflows that improve how scholars work, iterating system architecture and integrations based on their feedback and usage</li><li>
Design and implement context engineering systems to structure Cato&rsquo;s policy research for accurate retrieval and analysis by AI agents</li><li>
Evaluate AI outputs against scholarly standards, diagnosing whether poor results stem from context gaps, architectural flaws, or model limitations &mdash; and implement programmatic guardrails that enforce analytical rigor and empirical honesty</li><li>
Partner with scholars and data visualization specialists on the technical infrastructure of major reports</li></ul>
Likely Initial Focus Areas (First 6-12 Months)<ul><li>
Launch the cross-department AI-enhanced research working group</li><li>
Discover existing research technology usage and workflows between multiple Cato research departments</li><li>
Devise and execute empirical assessment methods for custom AI instructions already in use</li><li>
Build tools and create technical organization to address opportunities identified by the working group and discovery</li></ul>
Requirements:

Education and Experience<ul><li>
Bachelor&rsquo;s degree in computer science, data science, statistics, economics, computational social science, or a related quantitative or technical field</li><li>
5+ years of experience building software, tools, or data systems, including experience in or serving research, policy, government, or academic environments</li><li>
Expertise building LLM-enabled systems (prompting, retrieval/context construction, tool use, and evaluation), and iterating them based on structured empirical evaluation</li><li>
Proficiency with multiple major LLMs: ChatGPT, Claude, Gemini, and/or Grok</li><li>
Proficiency with Python to build research tools and integrate AI capabilities</li><li>
Working knowledge of Claude Code, Codex, or similar agentic AI development tools</li><li>
Familiarity with research methods and analytical workflows in a policy, academic, or government setting &mdash; sufficient to collaborate meaningfully with researchers and evaluate whether tool outputs meet scholarly standards</li></ul><h4 class="jobSectionHeader">
Knowledge and Skills</h4><ul><li>
Strong written and verbal communication, with the ability to explain technical concepts to non-technical researchers and document systems clearly</li><li>
Self-directed, intellectually curious, and comfortable working across departments in an advisory and collaborative capacity</li><li>
Familiarity with Cato's work or demonstrated interest in public policy</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications</h4><ul><li>
A demonstrated ability to rapidly acquire new technical skills from first principles to adapt to the highly accelerated pace of AI development</li><li>
Experience with SQL and data pipeline tools to transform and structure research datasets for analysis and retrieval</li><li>
Experience with R, Stata, or other research-oriented programming languages</li><li>
Familiarity with cost-performance trade-offs across AI model tiers</li><li>
Familiarity with think tank, government, or academic research environments</li></ul>
Benefits
All Cato employees are provided:<ul><li>
Medical, dental, and vision insurance</li><li>
Employer contribution to a Health Savings Account (HSA)</li><li>
Generous vacation and sick days</li><li>
Paid parental leave</li><li>
Employer-provided life and disability insurance</li><li>
401(k) employer match</li><li>
Transit/Parking benefits</li><li>
Pet discount plan</li></ul>
To Apply
Please submit the following materials:<ul><li>
Resume or CV</li><li>
A cover letter &mdash; written by your own hand, not with the LLM tools you&rsquo;ve mastered, so we can best understand your genuine thought process &mdash; detailing your experience at the intersection of research and engineering, your interest in leveraging AI and other advanced technology for policy research, and why Cato&rsquo;s mission appeals to you</li><li>
Optional: links to code repositories, personal projects, or technical writing</li></ul>
Applicants must be currently authorized to work in the United States on a full-time basis. This position does not offer visa sponsorship.</div>

Senior Research Engineer, Applied AI

Apple

Our team is dedicated to solving the high-quality training data problem at the scale required to train advanced Foundation Models. We believe that the advanced model performance (including reasoning, coding, and agentic planning) fundamentally depends on a data-centric approach to Machine Learning. Our objective is to engineer a large-scale system that acquires, processes, and curates the data required to advance the state of the art in Artificial Intelligence. 
 
We are seeking a Senior Research Engineer who possesses a deep understanding of distributed systems and a strong intuition for Machine Learning. You will join a culture that values engineering craftsmanship, privacy, and rigorous scientific inquiry, utilizing advanced cloud technologies to build the data systems that powers our most capable models. 
 
Description 
 
This position operates at the convergence of Software Engineering and Machine Learning Research. Unlike traditional backend roles, this position requires you to design systems where the outcome is the statistical distribution and quality of data itself. You will work alongside Research Scientists to transform theoretical observations into concrete, scalable engineering solutions. Your core focus will be the architecture of our Data Acquisition, Processing, and Repository Management systems for Large Model training. You will lead technical efforts to enable active, quality-driven data curation, including filtering, deduping, synthetic data generation and data mixing, ensuring our models are trained on the highest-quality information available.&quot;,&quot;responsibilities&quot;:&quot;Architect Scalable Ingestion Systems: Design and implement high-throughput distributed systems to ingest petabytes of text and multimodal data from diverse sources, including web crawls and third-party partnerships. 
 
Repository Optimization: Manage the lifecycle of large-scale datasets across data storage and high-performance file systems. Optimize data formats for efficient random access and sequential scanning during model training. 
 
Data Governance &amp; Privacy: Engineer robust data governance and privacy solutions for the training data, in collaboration with compliance and legal teams, to ensure adherence to stringent regulatory standards. 
 
High-Performance Processing Pipelines: Build and maintain distributed data processing workflows using advanced frameworks on cloud infrastructure (e.g., GCP, AWS). 
 
Algorithmic Data Curation: Implement sophisticated data filtering and selection logic to remove low-quality content. Develop semantic deduplication at scale to prevent model memorization and improve training efficiency. 
 
Decontamination Removal: Design automated systems to detect and remove benchmark leakage, ensuring that evaluation datasets remain strictly isolated from training corpora. 
 
Infrastructure for Scaling Laws: Collaborate with researchers to enable data ablations and scaling experiments. Build tools to support systematic data mixture optimization and empirically data studies. 
 
Preferred Qualifications 
 
Research Collaboration: Experience working within or closely with ML research organizations (e.g., as a Research Engineer), with an ability to translate research results into engineering implementations. 
 
Domain Knowledge: Familiarity with lifecycle of modern LLM training, end-to-end workflows, and underlying system architecture. 
 
Complex Data Types: Experience in processing complex data modalities beyond plain text, such as source code repositories, images, videos, and audios. 
 
Minimum Qualifications 
 
Education: Bachelor&rsquo;s degree in Computer Science, Electrical Engineering, or Mathematics. 
 
Technical Expertise: 4+ years of software engineering experience with a specific focus on Data Infrastructure, Distributed Systems, or AI/ML Engineering. 
 
Language Proficiency: Expert fluency in Python, and strong competence in system languages such as C++. 
 
Cloud Architecture: Extensive experience architecting solutions on major public cloud platforms (e.g. GCP) to build scalable data systems (e.g. with Apache Beam, GCS) 
 
Performance Engineering: Deep experience profiling and optimizing high-throughput data systems. Demonstrated ability to debug distributed bottlenecks (e.g., stragglers, I/O saturation), optimize data formats and provide efficient data storage solutions. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Research Engineer, Training Data Infrastructure in Foundation Models

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
We're seeking experienced AI infrastructure Engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether&rsquo;s applied research team, where you&rsquo;ll contribute to high-impact projects that run across thousands of GPUs and drive cutting-edge video generation foundation development.
Responsibilities<ul><li>
Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).</li><li>
Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.</li><li>
Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.</li><li>
Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.</li><li>
Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages.</li><li>
Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.</li><li>
Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.</li><li>
Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.</li></ul><ul><li>
Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.</li><li>
Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.</li><li>
Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.</li><li>
Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads.</li></ul>
Preferred Qualifications<ul><li>
Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.</li><li>
Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Senior AI Research Engineer - Data & Infrastructure (100% remote Worldwide)

Applied Research Associates, Inc

<div>The Mission Concepts and Capabilities (MCC) Division of Applied Research Associates, Inc. (ARA) is seeking to contingently hire a Senior Engineer for ARA&rsquo;s effort supporting the Assistant Secretary of War for Critical Technologies (OASW(CT)). This position will support the Critical Technology Area (CTA) offices within OASW(CT). This work requires a candidate with experience in systems engineering, software engineering, and/or subject matter expertise in CTA relevant fields. The candidate will perform functions such as:
<ul><li>Development of technology roadmaps in areas such as artificial intelligence (AI), directed energy, communication and sensing technologies, precision navigation, electronic warfare, hypersonics, biomanufacturing, and/or contested logistics</li>
<li>Identify opportunities to conduct short-term sprints that deliver capabilities</li>
<li>Development of strategy documents</li>
<li>Development of strategic implementation plans</li>
<li>Coordination with Service and interagency SMEs to cultivate partnerships that advance OASW(CT) priorities and objectives</li></ul> 
Required Qualifications:
<ul><li>BS degree in scientific or technical discipline from an accredited institution</li>
<li>10+ years of relevant experience</li>
<li>Current DoW TOP SECRET clearance with SCI eligibility</li>
</ul><ul><li>Experience with one or more of the following: artificial intelligence (AI), directed energy, communication and sensing technologies, precision navigation, electronic warfare, hypersonics, biomanufacturing, and/or contested logistics</li>
<li>Experience developing and transitioning technology</li>
<li>Experience developing roadmaps</li>
<li>Experience preparing presentations for, and presenting reports to senior leaders</li>
<li>Experience in interfacing, communicating, and collaborating with government personnel at senior levels</li>
</ul>Desired Qualifications:
<ul><li>Master&rsquo;s degree from an accredited institution</li>
<li>Experience supporting the Office of the Secretary of War and Critical Technology Areas (CTAs)</li></ul> 
This position is contingent upon award of a contract. 
COMPANY INFORMATION:
Applied Research Associates, Inc. is an employee-owned international research and engineering company recognized for providing technically superior solutions to complex and challenging problems in the physical sciences. The company, founded in Albuquerque, NM, in 1979, currently employs over 2000 professionals. ARA offices throughout the United States and Canada provide a broad range of technical expertise in defense technologies, civil technologies, computer software and simulation, systems analysis, environmental technologies, and testing and measurement. The corporation also provides sophisticated technical products for environmental site characterization, pavement analysis, and robotics.
At ARA, employees are our greatest assets. The corporation realizes that employee ownership generates greater creativity and initiative along with higher performance and customer satisfaction levels. ARA gives its employees the tools, training, and opportunities to take more active roles as owners. The culture is challenging; innovation and experimentation are the norm. Employees are eligible for contributions which not only add to the company&rsquo;s success, but also their own through the Employee Stock Ownership Plan (ESOP). The motto, &ldquo;Engineering and Science for Fun and Profit&rdquo; sums up the ARA experience. For additional information and an opportunity to join this unique workplace, please visit our website at www.ara.com. 
Please apply at www.careers.ara.com for the Senior Engineer position.<h4 class="jobSectionHeader">
Experience</h4>
Required<ul><li>
10 year(s): Relevant work experience</li></ul>
<h4 class="jobSectionHeader">Education</h4>
Required<ul><li>
Bachelors or better</li></ul>
<h4 class="jobSectionHeader">Behaviors</h4>
Required<ul><li>
Team Player: Works well as a member of a group</li><li>
Functional Expert: Considered a thought leader on a subject</li><li>
Enthusiastic: Shows intense and eager enjoyment and interest</li><li>
Detail Oriented: Capable of carrying out a given task with all details necessary to get the task done well</li></ul>
<h4 class="jobSectionHeader">Motivations</h4>
Required<ul><li>
Self-Starter: Inspired to perform without outside help</li><li>
Job Security: Inspired to perform well by the knowledge that your job is safe</li><li>
Growth Opportunities: Inspired to perform well by the chance to take on more responsibility</li><li>
Goal Completion: Inspired to perform well by the completion of tasks</li><li>
Ability to Make an Impact: Inspired to perform well by the ability to contribute to the success of a project or the organization</li></ul>
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.</div>

Senior Engineer

Johnson Controls Arabia

<div>
 
 The Senior Research &amp; Design Engineer is responsible for leading the development, improvement, and innovation of products, systems, and engineering solutions. This role combines advanced technical expertise with strategic thinking, guiding projects from concept through design, testing, and implementation. The ideal candidate is a creative problem‑solver with strong analytical skills and a proven track record in delivering high‑quality engineering solutions.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design and Manufacturing for UPG new development projects.
 </li>
 <li>
 Preparing BOMs for new products including SQ Options.
 </li>
 <li>
 Preparing costing and maintaining TP for new UPG products.
 </li>
 <li>
 Monitoring and controlling the unit cost to maintain GP at standard.
 </li>
 <li>
 Issuance of controlled nesting and bending drawings for new products.
 </li>
 <li>
 Preparation of R&amp;D KPIs.
 </li>
 <li>
 Preparation of catalogue &amp; IOM data for new Products.
 </li>
 <li>
 Handling of all technical issues, inquiries from Marketing.
 </li>
 <li>
 Preparation of all input data for selection software.
 </li>
 <li>
 Responsible for new products testing and validation.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in mechanical engineering, Electrical Engineering, Industrial Design, or related field.
 </li>
 <li>
 A minimum of 5 years of experience in research, product design, or engineering development.
 </li>
 <li>
 Proven experience leading complex engineering projects.
 </li>
 <li>
 Strong proficiency in CAD software (e.g., SolidWorks, AutoCAD, CATIA, Creo)
 </li>
 <li>
 Experience with simulation tools (FEA, CFD, thermal analysis, etc.)
 </li>
 <li>
 Knowledge of manufacturing processes, materials, and prototyping techniques.
 </li>
 <li>
 Strong analytical and problem‑solving skills.
 </li>
 </ul>
 
 
</div>

Senior Research And Development Engineer

University Of Washington

<div>Job Description
Who we&rsquo;re looking for:
The UW Department of Laboratory Medicine &amp; Pathology (DLMP) in Seattle, WA has a fantastic opportunity for a Research Scientist/Engineer 4 with the Davis Lab .
The Research Scientist/Engineer 4 will provide senior-level scientific leadership for research programs focused on fibroblast and myocyte biology as well as tissue and extracellular matrix (ECM) remodeling in the context of cardiovascular and skeletal muscle disease. This position will work closely with investigators in a highly collaborative, multidisciplinary research environment and will play a critical role in advancing high-impact basic and translational research programs. This is an excellent opportunity for an experienced scientist to contribute scientific leadership, develop independent research directions, and mentor and supervise trainees as part of a productive and innovative research team.
Work schedule:
<ul><li>100% FTE
</li><li>Monday &ndash; Friday
</li><li>Day shift
</li></ul>What you&rsquo;ll contribute:
Research Design, Execution, &amp; Analysis
<ul><li>Design and conduct complex in vivo and ex vivo experiments focused on fibroblast biology, ECM remodeling, and tissue mechanics using advanced mouse models.
</li><li>Apply histological, imaging, and molecular approaches including immunohistochemistry, second harmonic generation microscopy, and multi-omic analyses (e.g., single-cell RNA sequencing, spatial transcriptomics, proteomics).
</li><li>Analyze, interpret, and integrate large and complex biological datasets.
</li><li>Develop, optimize, and implement new experimental assays and analytical methods.
</li><li>Develop new genetic and surgical animal models, maintain and manage animal colony use within the lab, and experimental planning.
</li></ul>Project Leadership, Writing, &amp; Collaboration
<ul><li>Lead and coordinate scientific projects, including literature review, experimental strategy, data synthesis, and milestone tracking.
</li><li>Write and contribute to scientific manuscripts for publication in peer-reviewed journals.
</li><li>Assist with preparation of grant proposals, progress reports, and related funding materials.
</li><li>Collaborate with faculty investigators, postdoctoral fellows, students, and research staff to advance shared scientific goals.
</li><li>Provide guidance to trainees on experimental design, data interpretation, and scientific.
</li><li>Develop independent research areas for grant applications.
</li></ul>High-Priority Experimental Support &amp; Strategic Research
<ul><li>Conduct rapid-turnaround experiments and analyses to support manuscript revisions, grant submissions, and high-priority research initiatives.
</li><li>Apply independent judgment to adapt methodologies and devise solutions to complex or high-risk research questions.
</li></ul>Administrative, Training, &amp; Compliance Responsibilities
<ul><li>Provide advanced training and mentorship in animal procedures, surgical techniques, echocardiography, and specialized laboratory assays.
</li><li>Maintain IACUC protocols and ensure compliance with NIH, federal, state, and University regulations governing animal research.
</li><li>Assist with laboratory organization and research continuity as needed.
</li></ul>What you&rsquo;ll need:
<ul><li>Master&rsquo;s degree in a related field of Bioengineering, Pathology, Molecular Biology, Cell Biology, and four years of relevant in fibroblast and muscle biology and experience with genetic and surgical animal models of cardiovascular and/or skeletal muscle disease.
</li><li>Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
</li></ul>Additional requirements.
<ul><li>Progressive research experience, including postdoctoral training, with demonstrated scientific experience.
</li><li>Extensive experience with genetic and surgical animal models of cardiovascular and/or skeletal muscle disease.
</li><li>Demonstrated expertise in fibroblast and muscle biology, extracellular matrix remodeling, and tissue remodeling.
</li><li>Experience with mouse genetics, histological techniques, and multi-omic data generation and analysis.
</li><li>Strong publication record in peer-reviewed scientific journals.
</li><li>Excellent written and verbal communication skills.
</li><li>Ability to lead multiple projects, manage competing priorities, and work effectively in a collaborative team environment.
</li><li>Ability to comply with NIH, federal, state, and University regulations on the ethical use of animals in research.
</li></ul>Desired qualifications:
<ul><li>Experience contributing to successful grant applications and funded research programs.
</li><li>Background in mechanobiology, tissue regeneration, or advanced imaging methodologies.
</li><li>Demonstrated ability to mentor trainees at multiple levels and foster a collaborative laboratory culture.
</li><li>Experience working across interdisciplinary academic or translational research teams.
</li></ul>What we offer:
<ul><li>Vacation time and sick time off that accrue monthly, including 12 paid holidays.
</li><li>State Employee Tuition Exemption Program covering up to 6 credits of qualifying coursework per quarter at the University of Washington or other participating colleges or universities.
</li><li>Fully subsidized public transit pass (U-PASS) that covers multiple forms of public transportation in the region.
</li><li>Excellent healthcare, dental, disability, retirement, and other plan options.
</li><li>Lots of free fantastic fitness, healthy eating, finance, and stress reduction classes offered through the Whole U.
</li><li>And much more!
</li></ul>About the Department of Laboratory Medicine &amp; Pathology:
A regional resource for clinical laboratory services required for innovative patient care, research and educational programs, the Department of Laboratory Medicine &amp; Pathology at UW Medicine combines the sophisticated testing and informatics capabilities of fully accredited laboratories with the resources of an academic institution in its delivery of clinical and anatomic pathology services. Recognized for excellence in clinical training, world-class research initiatives, and a commitment to community service, we serve labs and medical facilities both nationally and internationally.
Please visit our website to learn more about our department.
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.
Compensation, Benefits and Position Details
Pay Range Minimum:
$99,444.00 annual
Pay Range Maximum:
$164,328.00 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:
UAW Research
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>

Research Scientist/Engineering 4, Davis Lab

Realign

<div>Plano, Texas 75023 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Job Description: Senior Testing Engineer 
Location: Plano, TX (Onsite) 
Type: Full Time</div><div></div><div> 
Must Have Technical/Functional Skills:</div><div>
Secondary: Automation testing</div><div>
Experience: 8 to 10 years</div><div></div><div> 
Roles &amp; Responsibilities</div><ul><li> Proven expertise in automation testing (not limited to recent exposure; should have a strong foundation and consistent experience beyond manual testing)</li></ul><div>
&middot; &middot; Test Automation Expertise: Minimum 6 years of hands-on experience with automation tools such as Selenium, Playwright, Sikuli</div><div>
&middot; &middot; Programming Skills: Strong proficiency in Java with a minimum of 5+ years of experience</div><div>
&middot; &middot; Litmus: 1-2 years of experience required</div><div>
&middot; &middot; CI/CD Experience - 1-2 Years (Minimum)</div><div>
&middot; &middot; Playwright: Experience is a plus</div><div>
&middot; &middot; Database Skills: Solid understanding of SQL and relational databases with at least 2 years of experience</div><div>
&middot; &middot; Hands-on experience with Agile methodologies</div><div>
&middot; &middot; Familiarity with Jira and Micro Focus Octane for test management</div><div>
&middot; &middot; Excellent communication and collaboration skills</div>
&middot; &middot; Banking/Finance domain knowledge and experience will be considered a strong advantage
Required Skills
CLOUD SECURITY ENGINEER DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Senior Testing Engineer-6

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