Research fellow jobs in Burien, WA

Founding Research Scientist - Generative Video 📍 Seattle, WA (Onsite, 5 days/week) | 💼 Full-time About the Founders Founded by a collective of PhD researchers from leading global universities (Apple, Stanford & Oxford PhD Alumni) with backgrounds at top AI labs and major technology companies, combining deep theoretical insight with proven large-scale product execution. About the Company Our client is a stealth-mode AI startup creating breakthrough technology at the intersection of perception, learning, and expression. The team's mission is to build intelligent systems that can observe and interpret subtle human cues - visual, vocal, and behavioral - to enable natural, emotionally aware digital interaction. They're developing foundational models that unify multiple input streams to make communication between humans and machines feel effortless and authentic. Role Overview This position is ideal for a scientist who thrives at the boundary of research and product impact. As the Founding Research Scientist for Generative Video, you'll lead experimentation on advanced video generation methods, designing architectures that model motion, timing, and realism at scale. You'll have freedom to explore new diffusion-based approaches, define metrics for visual fidelity and consistency, and bring early-stage research into practical real-time applications. Key Responsibilities Design and implement generative video models that synthesize realistic movement, depth, and texture. Develop scalable pipelines for dataset creation, model training, and system evaluation. Explore diffusion, transformer, and temporal modeling techniques to enhance continuity and expression. Partner with engineers and scientists across modalities (speech, text, vision) to integrate outputs into unified frameworks. Evaluate model behavior, benchmark performance, and publish findings where appropriate. Transition promising prototypes into production-ready, low-latency systems. Required Background PhD or comparable experience in Machine Learning, Computer Vision, or Graphics. Proven expertise in video or 3D generative modeling, preferably using diffusion or transformer architectures. Strong applied experience with PyTorch, JAX, or similar toolkits. Understanding of data curation, distributed training, and large-scale evaluation. Publications, patents, or open-source contributions demonstrating research excellence. Self-directed mindset with enthusiasm for rapid iteration and open-ended discovery. What Makes This Unique Early technical ownership in shaping the research roadmap of a deep-tech organization. Opportunity to work on high-impact, unexplored problems in real-time generative media. Close collaboration with a multidisciplinary team of machine learning, vision, and graphics experts. Competitive compensation, strong equity participation, and top-tier backing from investors in applied AI.

NVIDIA is at the forefront of the AI and robotics revolution, and our robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, and simulation. This research strives to transform research paradigms, transfer into NVIDIA's robotics and simulation products, and build new robotics markets for the world. The Seattle Robotics Lab has led many influential works that have been presented at top robotics, AI, and computer vision conferences; these works include BayesSim, cu Robo, DeXtreme, DiSECT, Factory, GraspNet, ITPS, MimicGen, RVT, and SHAC. (See our publications page for a complete list.) The work has deeply impacted the research community and NVIDIA products, including Isaac Sim, Isaac Lab, and Isaac Manipulator. Furthermore, SRL collaborates closely with other research and engineering teams to advance and use the Cosmos and GR00T-N foundation models, as well as the Newton physics simulation engine. The team is targeting several grand challenges in robotics and is aiming to achieve never-before-seen capabilities within 2-3 years. We are looking for research scientists to play a pivotal role in these efforts. These scientists must have outstanding research and engineering skills, a proven research track record, strong supporting references, and a team-first approach. What you will be doing: * Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications; * Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands; * Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack; * Engaging with the academic community through high-impact publications, conferences, workshops, and code releases; * Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; * Mentoring interns joining NVIDIA during their PhD programs. What we need to see: * Completing a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience). * A strong research track record, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP. * Exceptional programming skills in Python, as well as proficiency in modern deep learning frameworks (PyTorch or JAX), robotics frameworks (ROS or ROS2), and physics simulation frameworks (Isaac Sim/Lab or MuJoCo). Familiarity with C++, CUDA, and Warp is a plus. * Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams. * Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation. The following research areas and applications are of particular interest: * Bimanual and dexterous manipulation * Mobile manipulation and humanoid loco-manipulation * Multisensory perception (e.g., vision, tactile, and force/torque sensing) * Simulation, sim-to-real, and real-to-sim * Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning * Industrial applications, such as bin-picking, kitting, and assembly The Seattle Robotics Lab is currently located near the University of Washington and is moving to a new office in the vibrant Fremont neighborhood in 2026. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 258,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Business UnitWhat the Role Entails Job Responsibilities: We are building large-scale, native multimodal model systems that jointly support vision, audio, and text to enable comprehensive perception and understanding of the physical world. You will join the core research team focused on speech and audio, contributing to the following key research areas: Develop general-purpose, end-to-end large speech models covering multilingual automatic speech recognition (ASR), speech translation, speech synthesis, paralinguistic understanding, and general audio understanding. Advance research on speech representation learning and encoder/decoder architectures to build unified acoustic representations for multi-task and multimodal applications. Explore representation alignment and fusion mechanisms between audio/speech and other modalities in large multimodal models, enabling joint modeling with image and text. Build and maintain high-quality multimodal speech datasets, including automatic annotation and data synthesis technologies. Who We Look For Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, Linguistics, or a related field; or Master's degree with several years of relevant experience. Solid understanding of speech and audio signal processing, acoustic modeling, language modeling, and large model architectures. Proficient in one or more core speech system development pipelines such as ASR, TTS, or speech translation; experience with multilingual, multitask, or end-to-end systems is a plus. Candidates with in-depth research or practical experience in the following areas are strongly preferred: Speech representation pretraining (e.g., HuBERT, Wav2Vec, Whisper) Multimodal alignment and cross-modal modeling (e.g., audio-visual-text) Experience driving state-of-the-art (SOTA) performance on audio understanding tasks with large models Proficient in deep learning frameworks such as PyTorch or TensorFlow; experience with large-scale training and distributed systems is a plus. Familiar with Transformer-based architectures and their applications in speech and multimodal training/inference. Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $149,000.00 to $279,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

About the Role We're looking for an experienced Staff / Senior Staff Research Scientist to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems - ensuring we provide the most accurate and transparent pricing possible - the scope goes well beyond pricing. You'll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers. What You'll Need Strong software engineering and coding skills in Python, with experience contributing to production codebases 9+ years of experience developing and deploying ML models end-to-end - from research and prototyping to implementation in production systems Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field Solid foundation in statistics and experimental design Strong communication and collaboration skills - you're comfortable working with cross-functional stakeholders and can communicate technical ideas clearly Nice to Have Familiarity with Pyspark and distributed data processing Background in search, recommendation systems, or personalization Experience working with large language models (LLMs) or vision-language models (VLMs) A genuine interest in real estate - no prior experience required, but you'll engage deeply with housing data What You'll Do Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models Build interpretable ML models that can help us explain pricing decisions to customers Incorporate unstructured data - like images, videos, or text - into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.) Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems Improve the feature engineering and model training pipelines that power our production systems Rethink our risk and optimization models using real-world data and domain insight We're a small, nimble team - there's ample opportunity to work across the entire research and modeling stack. Compensation The base pay range for this position is $238,400 - $327,800 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees. About us…. Powering life's progress, one move at a time Since 2014, we've been reinventing life's most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain. We're a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it's starting a family, taking a new job, or making a life change, we help people move forward with confidence. This work isn't easy, and it's not for everyone. But if you want to be part of a team that's tilting the world in favor of people who want to sell, buy, or own a home then you'll find purpose here. Opendoor Values Openness We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here. We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise. At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at ********************************.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Initiates the design, development, execution and implementation of technology research projects. Investigates the feasibility of applying scientific principles and concepts to potential inventions and products. Plans and executes applied research. Maintains substantial knowledge of state-of-the-art principles and theories and may contribute to scientific literature and conferences. May participate in development of patent applications. May coordinate interdepartmental activities and research efforts. What You'll Do * Work towards long-term results-oriented research goals, while identifying intermediate achievements. * Contribute to research that can be applied to Adobe product development. * Integrating novel video research into Adobe's products. * Lead and collaborate on research projects across different Adobe divisions What You Need to Succeed * PhD or Master degree in machine learning, AI, computer science, statistics, or scene semantic understanding; or equivalent experience required with an expected graduation date of December 2026 - June 2027 * 0-1 + years of experience in specific skill/field(s) * Experience communicating research for public audiences of peers. * Experience working in teams. * Knowledge of Web based application development. * Functional knowledge of C++, Python and JavaScript programming languages. * Working knowledge of ML programming. * Experience with graph base computing would be helpful. * Functional knowledge of UI programming concepts. Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values. Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture. Participation in the Postdoctoral Research program requires that you are physically present in the United States for the duration of the program. #LI-remote Who We Need We are seeking a highly motivated and talented Machine Learning Postdoctoral Researcher to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. Program Details Our Postdoctoral Research program is designed for candidates who have completed their PhD within the last two years and worked in their area of expertise since graduation as a postdoc, professor, or industry researcher/scientist. Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply innovative solutions to our products. Our postdoc research programs are designed to be a minimum of 3 months and a maximum of 12 months, with the opportunity to extend beyond the initially agreed term based on the company's needs and the candidate's desires. This Opportunity We are looking for machine learning experts who can utilize applied science and software development skills in building our Foundation Models that help us address some of the hardest problems towards our vision of Saving Lives with Data. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company. You will work as part of an organization that brings together talent from diverse backgrounds including software engineering, big data, machine learning and AI, clinical informatics, and medicine making our team an exciting place to work. We value and encourage diversity in the belief that our differences make us and our products better. In this role, you will: Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications. Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks. Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy. Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning. Deliver the next generation of innovation in trustworthy healthcare. Key Qualifications Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI Strong theoretical and practical background in NLP including experience with state-of-the-art architectures Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI Solid programming skills in Python and the ability to write clean, efficient, and well-documented code Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems Strong communication skills and the ability to work effectively in a collaborative research environment Preferred Qualifications Experience with distributed parallel training, large-scale multi-modal foundation and generative models Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques Familiarity with training multi-modal foundation models Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments A track record of publications and contributions to the machine learning and natural language processing communities This postdoctoral research program offers a unique chance to work on state-of-the-art language models and contribute to transformative research with the vision of Saving Lives with Data. You will be part of a dynamic team of researchers and engineers who are passionate about pushing the boundaries of machine learning and natural language understanding in the healthcare domain. Join us and make a significant impact on the future of healthcare and patient well-being. Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. We offer: Competitive compensation Company-issued laptop and equipment Opportunities for future full-time positions The range for this position is $50-$60 per hour Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don't meet all of the requirements.

Clinical Research Investigator DM Clinical Research, the largest privately-owned research management organization in the Houston area and one of the top 50 in the country, is looking for an Investigator for our sites in Seattle, WA. This individual will conduct all clinical trials (studies) according to ICH, GCP, local regulations, study protocols, and company processes. Responsibilities Ensures the medical well-being and safety of the participants through the safe performance and execution of the studies. Assists in maintaining clinical oversight and quality on the studies registered on and delivers on study targets, thereby contributing to the commercial success of the site. Reviews enrollment progress, pre-screening and screening success rates, screen failure rates, safety, and retention of participants. Interprets protocols and IB and participates in initiatives to strategize for patient recruitment. Carries out clinical evaluation and assessment of participants to ensure eligible participants are enrolled onto studies. Ensures and protects the welfare and safety of participants through ethical conduct. Fulfills and comply with all medical duties as per protocol, SOP/COP and ICH GCP and local regulations. Exercises meticulous attention to detail in documentation and patient care. Requirements Medical License (MD, DO) At least 2 years of experience as a Clinical Research Investigator. Spanish Bilingual a plus.

AltPep Corporation is a biomedical company based along Seattle's Lake Union developing groundbreaking disease-modifying treatments and detection tools for amyloid diseases by targeting a novel early molecular trigger: alpha sheet oligomers. Our lead programs focus on Alzheimers and Parkinsons diseases, with other amyloid diseases on the horizon. AltPeps goal is to change the course of these debilitating diseases that affect over a billion people around the globe. AltPep draws its origins to Dr. Valerie Daggett's lab at the University of Washington's Bioengineering Department. We are looking for additional team members to join us at our state-of-the-art, headquarters located on the Eastside of Lake Union in Seattle. About this Role We are seeking a meticulous and dynamic Research Associate to join our team. You will be responsible for conducting and supporting laboratory research, including peptide synthesis, characterization (spectroscopy, biophysical, etc.), formulation activities, bioanalytical (pharmacokinetics) experiments, and stability studies, while ensuring the highest standards of quality and precision. Your contributions will be critical to the success of our research and development efforts, and you will have opportunities to work both independently and collaboratively within our innovative team. What Youll Do: Characterize peptides by UHPLC, mass spectrometry, circular dichroism, etc. Engage in chemical synthesis and peptide modifications to meet research and development objectives. Operate both manual and automated solid-phase peptide synthesis systems. Conduct (prep- and semi-prep) HPLC purification of peptides. Support novel Drug Product formulation development Support bioanalytical experiments and stability studies Troubleshoot and maintain instrumentation to ensure smooth laboratory operations. Maintain rigorous quality of experimental details outlined in Standard Operating Procedures (SOPs). Document research findings meticulously in lab books and records. Work both independently and collaboratively within an innovative team to achieve project goals. Prioritize and organize workflow to manage multiple tasks efficiently. Maintain a clean and orderly laboratory environment. Analyze and interpret data and generate reports Regularly communicate results, in written form and oral presentations, to the rest of the team and occasionally to senior management and in All-Company meetings. What You Bring: Must Haves: Bachelor's degree in chemistry, chemical engineering, biochemistry, bioengineering, or a related field. Experience in instrumental analysis using HPLC, UHPLC, and LC-MS. Ability to conduct quantitative analysis and apply quality control criteria effectively. Meticulous record-keeping abilities and attention to detail. Flexibility to adapt to a fast-paced and dynamic work environment and responsiveness to quick changes in tasks/priorities. Ability to learn rapidly and implement new laboratory techniques as needed Strong organizational skills to manage multiple tasks and prioritize workflow. What Will Separate You From the Rest: 2+ years of post-graduate experience in a relevant field, with previous biotech experience being a plus. Hands-on experience with solid-phase peptide synthesis and HPLC purification. Experience with productivity and scientific software, including ChemDraw /Marvinsketch Familiarity with PubMed and other information sources for pharmaceuticals. Ability to work independently while also valuing team collaboration. Knowledge of Quality Management Systems. Ability to learn and implement new analytical and synthetic chemistry techniques. Effective communication practices with peers and senior personnel. Flexible approach to structure and workflow management. Commitment to maintaining high standards of precision and cleanliness in laboratory work. Debilitating diseases such as Alzheimer's and Parkinson's affect more than a billion people worldwide. Drawing upon decades of academic research, AltPep was founded to create groundbreaking tools to detect and treat such diseases. Although a young company, AltPep has been recognized for its scientific accomplishment and potential. While still small and nimble, we have grown to a team of thirty talented individuals dedicated to improving the lives of billions. We continue to grow and are looking for talented people to join the team and help us accomplish our mission. We offer competitive compensation to those joining our fight. The compensation range for a Research Associate is $78,000 - $88,000, depending on experience. AltPep takes care of its employees and offers generous stock options, medical, vision, and dental coverage for its employees and their dependents. We understand, and value, life outside of work and offer competitive PTO so you can rest and recharge.

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. **_The Institute for Health Metrics and Evaluation (IHME)_** is an independent research organization at the University of Washington (UW). Its mission is to deliver to the world timely, relevant, and scientifically valid evidence to improve health policy and practice. IHME carries out its mission through a range of projects within different research areas including the Global Burden of Diseases (GBD), Injuries, and Risk Factors; Future Health Scenarios; Cost Effectiveness and Efficiency; Resource Tracking; and Impact Evaluations. IHME has an excellent opportunity for a **_Temporary_** **Research Scientist** to join the **Reproductive, Genitourinary and Digestive (RGUD)** disease estimation team. IHME Research Scientists analyze and produce key estimates for their assigned research team, contribute to research design and training, and lead and/or mentor junior staff. We are looking for someone ready to advance in their career in global health research. You will assess all available relevant quantitative data, including individual-level and aggregated data from surveys, vital registration, censuses, cohort studies, registries, administrative records, government reports, and published scientific literature. You will lead the development and execution of analytic strategies, determining which strategies to test and how best to deploy statistical methods and coding techniques necessary for producing estimates, with emphasis on the long-term and intergenerational impacts of sexually transmitted infections (excluding HIV). You will be responsible for presenting results for internal critique, incorporating necessary feedback into updates and running models to formulate high-quality final deliverables. You will also lead the development of manuscripts, reports, presentations, and similar outputs. You will be integrally involved in producing, critiquing, improving, and disseminating results. You are someone who is capable of keeping your team on track to meet deadlines and research objectives. You already have a publication record, and at IHME, you will build out your portfolio with several peer-reviewed papers. You thrive in a collaborative work environment and are capable of working on multiple projects concurrently while meeting deadlines. You keep current of recent scientific, engineering, and technical advances and are able to translate these into your research. This position is contingent upon project funding. **Responsibilities:** + Exhibit command of the team's research areas, including the methodology and its components. + Independently carry out quantitative analyses and participate in reciprocal research projects. Interpret and vet results from junior staff, formulate conclusions, and inform team leaders. + Develop, quality check, and distribute complex datasets to be used in epidemiological and statistical analyses. + Develop and implement new computational and statistical methods. Write, test, and maintain code in Python or R, with a willingness to learn and adapt to additional programming languages as needed. Maintain, modify, and execute analytic machinery that generates results. + Assist in drafting presentations and manuscripts, and contribute to the preparation of funding proposals. + Lead and co-author scientific publications in peer-reviewed journals. + Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques. + May lead and/or mentor junior staff. + Contribute ideas and content for internal and external training materials to enhance understanding and effective use of IHME tools and data. May participate in teaching established trainings. + Contribute to research design. + Other duties as assigned that fall within reasonable scope of research team. **Minimum Requirements:** + Master's degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline plus four years' related experience. + Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration. **Additional Requirements:** + Demonstrated understanding of the common measurement methods and study designs employed in analytic observational epidemiology, their biases and limitations, and available approaches to adjust measurements to support valid causal inference. + Growing peer network where sought out as having solid command of engineering/technical areas, a given disease, risk, key indicator, relevant methodological area, and the related data sources and scientific underpinnings. + Excellent analytic, critical thinking, and quantitative skills. + Results- and detail-oriented individual who can initiate and complete tasks under tight deadlines and changing priorities both independently and in a team environment. Flexibility with hours and workload is key. + Experience devising and executing statistical modeling techniques. + Demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code. + Ease in designing, executing, and troubleshooting code in R or Python. + Excellent written and oral communication skills required, including track record of success in coauthorship on multiple scientific papers, presenting results, and representing research at meetings. + Demonstrated ability to contribute to and sustain collaborations with external research teams. + Experience in working with large data sets, including devising strategies for reliable data management for large data sets, computationally efficient modeling techniques to use such data sets, and critical evaluation of highly multidimensional model outputs that result from such work. + Experience with meta-regression, preferably using Burden of Proof or other published methodology employed to estimate causal relationships from diverse datasources. + Ability to work both independently and in collaboration with a team. + A long-term interest in a research scientist position contributing to the overall mission of our research. **Desired Qualifications:** + MD or PhD in public health, epidemiology, statistics, biostatistics, math, economics, or quantitative social sciences plus two years' experience preferred. + Experience with machine learning, data mining, and analytic techniques. + Experience mentoring and developing junior employees on soft and technical skills. + Experience with project management methods. + Peer-reviewed publication record. **Conditions of Employment:** + Weekend and evening work sometimes required. + This position is open to anyone authorized to work in the US. + Working internationally is only allowed for IHME sponsored work that requires in -country participation. + Office is located in Seattle, Washington. This position is eligible to work fully remote in the US; work schedule required to overlap 50% of IHME office hours, between 8 a.m. and 6 p.m. Pacific Time as agreed upon between employee and supervisor. **_A COVER LETTER IS REQUIRED IN APPLYING FOR THIS POSITION._** Please in your cover letter: **Provide three professional references, including name, position, company, email and phone as well the name and contact information for your current supervisor, including email.** **If you are not currently employed, please provide the name and contact information for your most recent supervisor, including email.** **Compensation, Benefits and Position Details** **Pay Range Minimum:** $105,816.00 annual **Pay Range Maximum:** $128,316.00 annual **Other Compensation:** - **Benefits:** For information about benefits for this position, visit **************************************************************************************** **Shift:** First Shift (United States of America) **Temporary or Regular?** This is a temporary position **FTE (Full-Time Equivalent):** 100.00% **Union/Bargaining Unit:** SEIU Local 925 - IHME **About the UW** Working at the University of Washington provides a unique opportunity to change lives - 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 ************ or ********** . 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 (********************************************************* . University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.

At Adaptive, we're Powering the Age of Immune Medicine. Our goal is to harness the power of the adaptive immune system to transform the way diseases are diagnosed and treated. As an Adapter, you'll have the opportunity to make a difference in people's lives. With Adaptive, you'll create a career highlight through collaboration with bright, curious colleagues working at the apex of innovation and application. It's time for your next chapter. Discover your story with Adaptive. Position Overview Adaptive is seeking an exceptional Research Associate I to join a new subsidiary spinout, Digital Biotechnologies Inc. The Scientist will play a critical role in helping to develop a “Next” Next Generation Sequencing (NGS) instrument specifically designed for clinical medicine. Present methods for high-throughput sequencing are not suitable for many clinical applications, as all current NGS platforms lack the combination of high accuracy, rapid turnaround time, and low cost that would lead to robust clinical utility. In collaboration with academic and industry scientists across the country, Digital Biotechnologies is engineering the first solid-state sequencer with the specifications necessary for a widely applicable clinical sequencing instrument. In this role, the Research Associate I, performs assigned experiments or other related work under close supervision, which leverage Digital's novel intellectual property to realize the company's strategic objectives in fundamental science, health care and business development. Key Responsibilities and Essential Functions Synthesis and characterization of inorganic and organic nanomaterials. Routine microscopy (e.g., atomic force microscopy (AFM), transmission electron microscopy (TEM), optical microscopy) and image analysis. Prepare samples following a provided experimental plan. Conduct experiments or other related work based on provided protocols. With guidance, collates and interprets data and synthesizes results into a conclusion. Ability to execute experiments efficiently in a wet lab and suggest process improvements. Recognize patterns or inconsistencies when assessing results and share with supervisor. Position Requirements (Education, Experience, Other) Required Bachelor's degree in chemistry, materials science, nanotechnology, engineering (biomedical, chemical, material), physics, or other related field. Applicants should have 1+ years experience working in a laboratory. Ability to work closely and collaboratively with a team of other researchers. Preferred Experience in nanoparticle, nanomaterials, and/or chemical synthesis. Experience in electron and/or scanning probe microscopy. Experience working with DNA and related molecular biology techniques (e.g., purification, quantification, NGS). Working Conditions Job requires working in a lab and may require handling hazardous chemicals, biological material including blood, bone marrow, and tissue. Work occasionally requires flexible and/or extended hours. Physical Requirements Staff may have to periodically spend extended periods of time standing/sitting within the lab while executing repetitive work, which also includes: Lift Lift >20 pounds occasionally Lift/move large freezers and fridges with the assistance of dollies and carts Occasionally spend Constant work in labs, following all guidelines and protective measures. Compensation Hourly Rate: $26.88 - $40.33 Possible “other compensation” elements to include: equity grant ALERT: Malicious groups posing as Adaptive employees have recently used fraudulent email aliases to extend employment offers, provide fake documents, and request sensitive personal and financial information. Legitimate Adaptive employment opportunities are initiated through our careers page and extended after multiple interviews with verified employees. Adaptive does not ask new hires to purchase anything out-of-pocket, including home office supplies and equipment. Interested in this position, but don't meet all the requirements? Adaptive is committed to building diverse, equitable, and inclusive teams across our organization. Please consider applying even if your experience doesn't match all the qualifications; you may be the exact candidate we're searching for! Adaptive is not currently sponsoring candidates requiring work authorization support for this position. Adaptive's posted compensation information includes a base salary (or hourly rate) range and summary of other available total compensation. The base salary range represents a minimum-to-maximum salary (or hourly rate) available to candidates upon extension of offer. Base salary is thoughtfully considered upon offer and is determined through multiple evaluation checks throughout the interview process, including: a candidate's ability to meet minimum qualifications (skills/experience/education), a candidate's ability to thoughtfully address preferred qualifications, current market conditions, and internal pay equity. Listed base salary is exclusive of bonus, commission, equity, differential pay, benefits, and other incentives. Adaptive's benefits at-a-glance. Adaptive Biotechnologies is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Please refer the “Know Your Rights: Workplace Discrimination is Illegal” Poster for more information. If you'd like to view a copy of the company's affirmative action plan or policy statement, please email **********************. If you have a disability and you believe you need a reasonable accommodation to search for a job opening or to submit an online application, please e-mail accommodations@adaptivebiotech.com. This email is created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response. NOTE TO EMPLOYMENT AGENCIES: Adaptive Biotechnologies values our relationships with our Recruitment Partners and will only accept resumes from those partners who have active agreements with Adaptive. Adaptive Biotechnologies is not responsible for any fees related to resumes that are unsolicited or are received by any employee of Adaptive Biotechnologies who is not a member of the Human Resources team.

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. We are looking for a creative and motivated individual to execute and improve our Computational Protein Design pipeline using data-driven approaches to augment our first-in-class multi-specific biological programs. The ideal candidate will have experience applying computational methods to design novel peptides and proteins, with expertise in structural modeling, prediction, and optimization. Responsibilities: Execute a computational design pipeline for predicting the properties of peptides, natural ligands, de novo proteins, and antibody-based elements via data-driven approach Drive assay validation, tech transfer, and development initiatives to maintain industry standards; Contribute within the computational protein design group to operate yeast display-based protein discovery platforms Design new macromolecular therapeutics using structural and sequence analysis, and employ these in silico predictions to iteratively guide the lead development process Analyze, interpret, document, and present data to the scientific and leadership team Collaborate with our Antibody Discovery, Protein Engineering, and Immuno-oncology teams to contribute to the company's vision Qualifications: PhD (or equivalent) in bioengineering, biophysics, biochemistry, molecular biology, cell biology, or a related field 8+ years of experience using yeast libraries to generate protein binding or therapeutic antibodies required Experience with relevant macromolecular modeling software (e.g., AlphaFold, RoseTTAFold, RFdiffusion, ProteinMPNN, Gromacs, MOE, Schrödinger) Expertise in screening and ranking of antibodies (ELISA, multi-parametric flow cytometry, BLI/OCTET) Proven contribution to therapeutic antibody development and selection is desirable; design and validation of novel biologically relevant antibodies are highly desirable Compensation and Benefits: The expected base salary range for this position is $80,000 - $180,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate's qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise exceeds the requirements of the role. SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. We are looking for a creative and motivated individual to execute and improve our Computational Protein Design pipeline using data-driven approaches to augment our first-in-class multi-specific biological programs. The ideal candidate will have experience applying computational methods to design novel peptides and proteins, with expertise in structural modeling, prediction, and optimization. Responsibilities: * Execute a computational design pipeline for predicting the properties of peptides, natural ligands, de novo proteins, and antibody-based elements via data-driven approach * Drive assay validation, tech transfer, and development initiatives to maintain industry standards; Contribute within the computational protein design group to operate yeast display-based protein discovery platforms * Design new macromolecular therapeutics using structural and sequence analysis, and employ these in silico predictions to iteratively guide the lead development process * Analyze, interpret, document, and present data to the scientific and leadership team * Collaborate with our Antibody Discovery, Protein Engineering, and Immuno-oncology teams to contribute to the company's vision Qualifications: * PhD (or equivalent) in bioengineering, biophysics, biochemistry, molecular biology, cell biology, or a related field * 8+ years of experience using yeast libraries to generate protein binding or therapeutic antibodies required * Experience with relevant macromolecular modeling software (e.g., AlphaFold, RoseTTAFold, RFdiffusion, ProteinMPNN, Gromacs, MOE, Schrödinger) * Expertise in screening and ranking of antibodies (ELISA, multi-parametric flow cytometry, BLI/OCTET) * Proven contribution to therapeutic antibody development and selection is desirable; design and validation of novel biologically relevant antibodies are highly desirable Compensation and Benefits: The expected base salary range for this position is $80,000 - $180,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate's qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise exceeds the requirements of the role. SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.

Program Description In October 2021, Washington Emergency Care Physicians (WECP) proudly opened the first Pacific Northwest-based emergency medicine post graduate program for advance practice providers (APPs). The Program is specifically designed for physician assistants and nurse practitioners who are interested in a life-long career in emergency medicine with training sites in the Puget Sound through Tacoma Emergency Care Physicians (TECP), a subsidiary of WECP. Program Objectives To provide exceptional training and experience for APP professionals to have a successful career in any emergency department setting. To prepare candidates well for recognized emergency medicine APP examinations (NCCPA-CAQ for physician assistants, AANPCB Boards for nurse practitioners) Curriculum Fifteen (15) months program duration with over 3000 hours of post graduate training Close to 2400 hours of clinical training Over 300 hours of didactics to include over an introductory bootcamp followed my weekly activities that include conferences, meetings, case presentations, ultrasound training, procedure lab or simulation. Over 400 hours of independent study to include case review & presentation preparation, assigned CME and readings, and scholarly research project. Expected commitment of 50 hours per week of the above activities Phased Training with increasing levels of expected competency and confidence. Post Graduate APP 0: Pre-Boot Camp: 37 hours of on-line Emergency Medicine CME months before start of Program Boot Camp: First 2 weeks at start of Program Post Graduate APP 1: Six (6) months of ED clinical shifts in low acuity zones Post Graduate APP 2: Two and half (2.5) months of external rotations - Trauma (4 wks), Peds UCC & ED(4 wks), Ophthalmology/Critical Care/Interventional Rad(1.5 wks), Vacation(1wk) Post Graduate APP 2: Six (6) months of ED clinical shifts in high acuity zones Continuing Medical Education Required 150+ CME hours (provided and paid for by Program) Original EM Boot Camp on-line course, to be completed before start of program EMRAP subscription for duration of program DynaMed subscription ATLS, PALS Faculty Advisor & Mentor will be assigned to each post graduate candidate Regularly scheduled monthly meetings with Faculty Advisor Advisor to monitor progress and identify strengths/areas of improvement Advisor with candidate will develop individualized plan to ensure continued growth and development Senior Post Grad APPs are expected to mentor Junior Postgrads. Two (2) classes per year Fall - October 1st with 2 candidates Spring - April 1st with 2 candidates Training Locations All sites are part of MultiCare Health Systems Puget Sound: MultiCare Tacoma General (Level 2 Trauma, primary cardiac & stroke), Allenmore (Level 4 Trauma), and Covington Hospitals Admission requirements Must have graduated from an accredited PA/NP school Must be certified/licensed in Washington State after 4 weeks of starting program Must be able to evaluate and treat both pediatric and adult patients Must be willing to relocate to the Puget Sound for duration of program. Must be ACLS and PALS certified for duration of program Compensation & Benefits Salary: $65,780 per year ($82,150 for the 15-month Term) Reimbursement for licensing, certification, credentialing fees Benefits: medical and dental insurance, short-term disability insurance, 80 hours of PTO Eligible for retirement benefits if permanently hired after completion of program How to Apply Submit you most current Curriculum Vitae on ******************************************** Submit personal statement explaining why you are applying to the program along with your long-term professional goals Send three (3) letters of recommendation to the Program Director - to be sent directly from the authors of the letters. At least one letter must be from school director or faculty. Send your PA/NP school transcripts to the Program Director. Selected applicants will be asked to participate in an initial interview using a virtual video conference format. From those, applicants will be further selected to advance to a secondary in-person interview in Tacoma, WA Application Timeline Preliminary interviews will be scheduled once submitted application is completed (which include Letters of Recommendation) Spring class: please submit application with LORs by December 1st Fall class: please submit application with LORs by June 1st. Frequently Asked Questions Weblink Contact Information Jaime Delcampo, MD, FACEP Program Director ***************************** ************** Cody Balogh, PA-C Assistant Program Director ************************** Joe Montgomery, PA-C Core Faculty/ Advisor ******************************** Amanda Stalder, PA-C Core Faculty/ Advisor *****************************

R&D Partners is seeking to hire an Associate Research Scientist in Seattle, WA. Your main responsibilities as an Associate Research Scientist: Assist in developments of fit-for-purpose potency and/or biological characterization assays for both early- or late-stage programs. Works under minimal supervision for routine activities, such as experimental execution based on established protocols, data review and analysis. Organize findings for effective and timely communication of data, draw appropriate conclusions and design next steps. Maintain notebooks with detailed and timely documentation of protocols, study designs and results. Responsible for setting up in vitro functional assays to measure T cell function. What we are looking for in an Associate Research Scientist: B.S. in biological science, immunology or related discipline with at least 2 years of relevant work experience or M.S. with minimum of 1 year of relevant work experience in T cell biology Direct cell culture experience is required. Technical experience with cell-based assay development is preferred. Knowledge of cGxP requirements preferred. Works predominantly within established procedures but is capable of recognizing potential problems and recommend/develop appropriate solutions.. Why Choose R&D Partners? As an employee, you have access to a comprehensive benefits package including: Medical insurance PPO, HMO & HSA Dental & Vision insurance 401k plan Employee Assistance Program Long-term disability Weekly payroll Expense reimbursement Online timecard approval Pay Scale: $56,343 $70,442 ( Dependent on Experience) R&D Partners is a global functional service provider and strategic staffing resource specializing in scientific, clinical research & engineering. We provide job opportunities within major pharmaceutical, biopharmaceutical, biotechnology, and medical device companies. R&D Partners is an equal-opportunity employer.

Full-time Description We are looking for a dedicated and hardworking research associated to join a cross-disciplinary team to help us develop and support advanced oligonucleotide synthesis technologies and applications. The candidate will handle multiple roles across our R&D teams to support both routine and investigatory laboratory activities. Knowledge of oligonucleotide synthesis chemistry, PCR and qPCR techniques, and library preparation for next-generation sequencing are desirable, but training will be provided. Level of the position will be commensurate with the qualifications of the final candidate. Location: Redmond, WA Key Responsibilities: Perform array-based oligonucleotide synthesis on CustomArray's CMOS semiconductor synthesis platform. Perform QC operations on CustomArray products including PCR/qPCR and hybridization assays. Perform NGS library preparation and sequencing work according to established protocols. Familiarity with Illumina NGS platform desirable. Contribute observations and experience to R&D team to accelerate pace of technology development. Conduct routine lab maintenance procedures. Requirements Bachelor's degree in Biology or Chemistry related field with 2 years of hands-on experience. Master's degree a plus. Working knowledge of oligonucleotide synthesis desirable. Experience with surface chemistry techniques and electrochemistry desirable. Good grasp of basic molecular biology techniques including PCR, qPCR, array-based hybridization assays, and NGS. Familiarity with vacuum instrumentation and surface coating/modification techniques highly desirable Ability to work as part of a small cross-disciplinary team to accomplish both short term and long term goals. GenScript USA Inc. is a proud equal opportunity employer - Veterans/Disabled and other protected categories. We are committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. It is GenScript's policy to ensure equal employment opportunity without discrimination or harassment based on race, color, religion, sex, pregnancy (including childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, military and veteran status, or any other characteristic protected by law. GenScript USA Inc. maintains a drug-free workplace.

Business UnitWhat the Role Entails Job Responsibilities: 1. Track the latest research in speech generation algorithms, explore next-generation paradigms for speech/audio generation, and push the boundaries of speech generation capabilities. 2. Investigate cutting-edge multimodal voice foundation model technologies to enhance voice interaction experiences by integrating text, speech, and vision. 3. Lead the technical R&D of voice foundation models, driving model performance improvements and innovative applications. Who We Look For Job Requirements: 1. Master's or Ph.D. in Computer Science, Artificial Intelligence, Electronic Engineering, Signal Processing, or related fields. 2. Research or development experience in one or more areas: voice foundation models, speech synthesis, speech recognition, audio generation, voice conversion, or speech codec. 3. Familiarity with mainstream voice-enabled large models (e.g., GPT4o, GLM-4-Voice, Qwen2.5-Omni, Voila). Prior project experience is preferred. 4. Proficient in deep learning frameworks (e.g., PyTorch). Experience with large-scale model training frameworks (Megatron/Deepspeed) is a plus. 5. Solid understanding of large model architectures and principles. Experience in large-scale pretraining or post-training is preferred. Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $149,000.00 to $279,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

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. **_The Department of Urology_** **has an outstanding opportunity for a** **_Temporary_** **Research Scientist/Engineer 2** **to join their team.** The Research Scientist/Engineer 2 will facilitate ongoing research projects spanning basic and translational science studies, and interact with collaborators at the University and the Fred Hutchinson Cancer Center. This person will work under supervision to complete assigned tasks/projects. The overall direction will be supplied by the Principal Investigator. The employee will be responsible for following experimental design and safety guidelines. The employee will also act as a team member for our on-call Rapid Autopsy Program, interacting with a team of research scientists and physicians through tissue collections. The employee will also work in vivarium with mice. **COMPLEXITIES** This position is in the Department of Urology, Genitourinary Cancer Research Laboratory. The position involves cell culture, performing a variety of molecular biology techniques, processing and staining of tissue samples, and working in an animal facility with mice. The candidate must have a willingness to learn and the ability to work with team members within the laboratory and collaborators outside of the laboratory. The employee will perform routine scientific work applying standardized scientific procedures and techniques but are also involved in the on-call Rapid Autopsy Program. **DUTIES AND RESPONSIBILITIES** **Cell Culture, Basic Molecular Biology and Standard Histology Techniques 60%:** The successful applicant will be highly proficient in: · Techniques in cell culture including drug screen assays and transfections. · The isolation, measurement and quality control of RNA and DNA for downstream molecular analysis. · Techniques such as: realtime PCR, western blot analysis, and ELISA. · Basic histology and imaging (fixing, decalcification, sectioning, and staining of tissue including immunohistochemistry and immunofluorescence). · Working in SPF facility with mice · Utilize thorough knowledge of Cell Culture, Basic Molecular Biology and Standard Histology Techniques · Teaching and supervision of delegated tasks with participation in the execution of these tasks as necessary. · Meets with the Pl or other collaborating faculty and participates in running of the research studies. · Assigns study tasks to support staff to assure timely execution of the research project. · Meets with the Pl or other collaborating faculty and participates in the design of the research studies. · Assures that the studies are performed according to approved protocols. · Is cognizant of the ongoing research projects in the facility and is able to articulate overall research goals. **Collection and Documentation of Data 20%:** · Must be very attentive to detail and keep accurate records, in addition to research notes that provide sufficient detailed information for reproducing results or procedures by other individuals. · Collect, compile (e.g., entering data into Excel spreadsheet and generating graphs), and correlate data and recognize discrepancies in results. · Contribute data/findings for use in reports, documents or oral/written presentations. **Participate in an on-call Rapid Autopsy team 10%:** · Rotate (every third week) as a member of a Rapid Autopsy team. · When on rotation, the Rapid Autopsy Program necessitates that the applicant be in the laboratory within two hours of being paged. Each laboratory member participates in approximately 5-6 rapid autopsies per year. · Assist with the Rapid Autopsy process and collection and processing of samples. **Other Related Duties 10%:** · Order and ship materials when required. · Interact in a collaborative manner with others to accomplish organizational goals and provide ideas for improved efficiency. · Update the laboratory chemical inventory, maintain the chemical inventory and manage the disposal of chemicals when appropriate, with the expectation of becoming the laboratory chemical safety officer. · Learn new techniques as required for optimal job performance. · Work with undergraduate students when required. · Perform other duties as assigned. **MINIMUM REQUIREMENTS** · Bachelor's degree in basic biological sciences with an emphasis in one of the biology disciplines and at least two years of relevant experience. **_Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a_** **_license/certification/registration._** **ADDITIONAL REQUIREMENTS** A strong working understanding of cell culture. · Basic molecular biology experience in RNA and DNA isolation, realtime PCR, western blot analysis, and immunohistochemistry. · Experience working with mice. · Familiarity with software to compile spreadsheets of acquired data. **DESIRED QUALIFICATIONS** · Experience in the processing of tissues is desired but not a requirement. **CONDITITONS OF EMPLOYMENT** · Must be able to work to complete assigned tasks/projects under supervision. · This position requires flexibility in the working hours, including extension into the evening when mandated by experiments or processing of specimens, and on occasion requires working outside of the standard workweek. **Compensation, Benefits and Position Details** **Pay Range Minimum:** $61,920.00 annual **Pay Range Maximum:** $113,580.00 annual **Other Compensation:** - **Benefits:** For information about benefits for this position, visit **************************************************************************************** **Shift:** First Shift (United States of America) **Temporary or Regular?** This is a temporary 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 - 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 ************ or ********** . 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 (********************************************************* . University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.

Business Unit What the Role Entails We are committed to building the core architecture for Artificial General Intelligence (AGI) systems that match or surpass human-level capabilities. As a key contributor to our core R&D team, you will help develop large-scale models with multimodal perception, autonomous learning, and reasoning abilities, driving their generalization to real-world applications. Our goal is to design a native multimodal system-capable of understanding and generating across vision, speech, and text-while interacting deeply with the environment to catalyze the transition from AGI to ASI (Artificial Super Intelligence). Responsibilities: * Design unified large model architectures with integrated capabilities in multimodal perception, reasoning, memory, and generation (across vision/audio/text). * Build systems that support continual learning, hierarchical memory, autonomous exploration, and self-evolution. * Advance the development of agent-based systems with autonomous task planning, cross-modal interaction, tool usage, and self-improvement capabilities. * Contribute deeply to the design of core components such as general representation learning, synchronized audio-visual modeling, world models, and sparse modeling. Key Research Areas: * Multimodal Unified Architecture: Native co-frequency modeling and cross-modal reasoning across vision, speech, and language. * Continual Learning & Memory Mechanisms: Architectures that separate long-term memory from the core model to enable memory recall and task transfer. * World Modeling & Causal Reasoning: Enabling models to predict environmental states, plan behaviors, and update cognitive structures dynamically. * Sparse & Modular Architectures: Scalable, efficient, and interpretable ultra-large sparse model design. * Self-Evolution & Active Data Generation: Mechanisms for self-growth through reinforcement learning, self-supervision, and environment interaction. * Cross-Modal Understanding & Generation: Strengthening joint generation and decision-making capabilities in real-world physical environments. * Intelligent Agent Capability Transfer: Systematic enhancement of task generalization and tool-composition skills. Who We Look For Requirements: * Expertise in Transformer-based architectures and their applications in language and multimodal domains. * Hands-on experience in building or optimizing billion-scale models; familiar with training paradigms such as SFT (Supervised Fine-tuning), RLHF (Reinforcement Learning with Human Feedback), and self-supervised learning. * Preferred qualifications include deep understanding or practical experience in one or more of the following areas: * Multimodal models (e.g., vision-language models, audio-video models) * Reinforcement learning and autonomous agent systems * Complex reasoning and planning (e.g., search + LLMs, world modeling) * Sparse modeling and dynamic routing mechanisms * Strong engineering and system thinking capabilities, with the ability to translate cutting-edge research into production-level AGI model systems. * Publications in top-tier conferences/journals such as NeurIPS, ICLR, CVPR, ACL, etc., are highly desirable. Location State(s) US-Washington-Bellevue The expected base pay range for this position in the location(s) listed above is $134,900.00 to $253,400.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

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. **_The Computational Ophthalmology Lab_** is leading collaborative efforts on large multidisciplinary research projects, using Big Data and machine learning. **The** **_Temporary_** **Research Scientist / Engineer 3 (RS/E 3)** will play a critical role in these important studies. This is a tremendous opportunity to grow as part of a very productive team. Under the technical guidance of an experienced scientist, the Research Scientist 3 will apply data mining techniques, perform statistical analysis, develop visualization techniques, and build automated tools that can assist with diagnosis, prognosis, and understanding of the pathophysiology of various ophthalmic diseases using machine learning. The RS/E 3 is expected to continue in the development of technical expertise and knowledge related to data science, programming, machine learning, review the recent literature, and implement new techniques under supervision. **RESPONSIBILITES:** This is a mid-level research position. The research scientist is expected to demonstrate initiatives and abilities to troubleshoot independently under limited supervision. **Data Management & Preparation - 35%** - Conduct data mining using state-of-the-art methods. - Extend electronic medical record or imaging data with third-party sources of information when needed. - Enhance data collection and extraction procedures to include information relevant for building analytic systems. - Process, cleanse, and verify the integrity of data used for analysis. - Perform data munging tasks to reshape data for statistical analyses, visualization, and machine learning. - Perform data backup and basic computer hardware maintenance. **Analysis & Modeling - 40%** - Select features, build, and optimize classifiers using machine learning techniques. - Perform statistical analyses with both traditional methods (e.g., survival analyses, mixed linear models, advanced imputation techniques) and machine learning approaches. - Conduct ad-hoc analyses and present results in a clear and concise manner. **Research, Writing, & Collaboration - 25%** - Review literature and recent advances in machine learning, data science, computer vision, and related research in ophthalmology. - Collaborate with team members to accomplish organizational goals and share technical expertise while working with limited supervision. - Write research manuscripts, reports, reviews, and summaries. - Perform other duties as assigned. **MINIMUM REQUIREMENTS:** Bachelor's degree in Computer Science, Mathematics, Physics, Biostatistics or related field and 4 years of relevant experience. _Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration._ - Excellent scripting and programming skills including: Java, SQL, Python, Torch, Lua, Linux - Experience working in headless server environments. - Desire to learn novel computational techniques and understanding of scaling processes. - Proficiency with Microsoft Office suite of programs including Word, PowerPoint, and Excel - Flexibility to learn new technologies, APIs, and SDKs by reading documentation. - Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. - Experience with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc. Excellence in at least one of these is highly desirable - Excellent applied statistics skills, such as distributions, statistical testing, regression, etc. - Great oral and written communication skills - Ability to multitask and participate in different projects - Ability to solve well defined problems using accepted methods and techniques - Must comply with NIH, Federal, state and University regulations on the safe and ethical use of animals and humans in research Must have determination and a logical and independent mind to complete each project. Must have strong organizational abilities and experience in a team-focused work environment with excellent written and oral communication and interpersonal skills. **DESIRED QUALIFICATIONS:** Master's or PhD in Biostatistics, Computer Science, Mathematics, Physics or related field AND three years of work experience in a related field OR four years of experience working in Biostatistics or Computer Science. (Equivalent education/experience can substitute for minimum qualifications except where prohibited by legal requirements such as license/certificate/registration.) - Excellence with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc. - Experience with deep learning a BIG PLUS! **Compensation, Benefits and Position Details** **Pay Range Minimum:** $75,000.00 annual **Pay Range Maximum:** $90,000.00 annual **Other Compensation:** - **Benefits:** For information about benefits for this position, visit **************************************************************************************** **Shift:** First Shift (United States of America) **Temporary or Regular?** This is a temporary 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 - 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 ************ or ********** . 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 (********************************************************* . University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.