Research fellow jobs in Shoreline, WA - 954 jobs

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. We are now looking for a Research Scientist New Graduate with a focus on Machine Learning Systems (MLSys). NVIDIA Research is seeking exceptional systems researchers to contribute to the development of hardware, software, and infrastructure technology for ML systems of all scales. Advances in AI/ML heavily rely on the development of efficient, scalable, resilient, and trustworthy systems for training, fine-tuning, and serving ML models. AI/ML applications are also pushing the limits of both personal devices and warehouse-scale data centers. All layers of AI systems need to be co-designed and co-optimized to maximize performance and energy efficiency, improve scalability, and support emerging algorithms in this space. We are seeking candidates that have a proven track record of research excellence, a broad perspective on systems design across the full hardware/software/infrastructure stack, and depth in one of the layers such as AI/ML systems, operating systems, distributed systems, data management, cloud computing, and computer architecture. What you'll be doing: * Understand and analyze the efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications. * Develop creative systems solutions (hardware, software, infrastructure) for future ML systems of all scales. * Contribute to the co-design of next-generation AI/ML algorithms and systems. * Collaborate with a diverse set of research and product teams across the company, spanning software, hardware, AI, and networking. * Publish original research and speak at conferences and events. What we need to see: * Recent graduate with a Ph.D. in CS/CE/EE with a strong background in operating systems, distributed systems, inference and training systems, data management systems, networking, cloud computing, and/or computer architecture (or equivalent experience). A strong publication, patent, and research collaboration history is a huge advantage. * Demonstrated expertise in one specific area with the ability to become the go-to resource within a team having varied backgrounds. * Background with experimental research and development. * Experience with C, C++, Python, and/or scripting languages. * Experience with using AI tools for analysis, design, and code development. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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.

About Team: With the fast growth of Bytedance's business, Bytedance's system infrastructure is currently at a massive scale and requires versatile system solutions. Our lab collaborates with HQ teams on advanced R&D projects, focusing on LLM/AI + Infrastructure technologies, which includes both infrastructure for LLM/AI and LLM/AI for infrastructure. To name a few, we are building a new cloud-native vector index library. Our TextToSQL project ranks top on well known industry benchmarks. We also work on advanced AIOps technologies that are used by our Volcano cloud products. Besides achieving great business impacts, we also encourage publishing on top tier conferences. In year 2025 alone, our lab published nearly 20 papers in top tier conferences, such as SIGMOD, VLDB, FSE, ICLR, EuroSys, WWW etc. We hire students with great technical skills, willingness to learn and solve complex technical challenges and passion in making an impact on millions of users. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume Responsibilities: - Do research surveys and come up with a new system and algorithm design. - Develop new systems and successfully land them into production environments - Be able to debug systems and measure system performance. - Collaborate with mentors and other lab members. - Write technical reports and publish papers. Minimum Qualifications - Currently pursuing a PhD degree in Computer Science or related fields - Understand how distributed systems work, such as distributed storage and database systems. - Great programming skill in one or more of the following programming languages: C/C++, Go, Java or Python - Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: - Strong past research experience in infrastructure system areas - Research experience with AI and LLM - Strong publication records

Meta is at the forefront of a transformative change in its business and technology, and our research teams are driving this evolution. As a Research Scientist at Meta, you will have the opportunity to work on crucial projects and initiatives that have never been done before, helping to advance the way people connect around the world. You will be responsible for proactively identifying and driving changes as needed for your assigned codebase, product area, and/or systems, building strong cross-functional partnerships, and suggesting, collecting, and synthesizing requirements to create effective feature roadmaps. You will work alongside the world's leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist.As a member of our team, you will have the opportunity to apply your technical expertise to drive innovation and solve complex problems. Your experience with frameworks such as PyTorch, TensorFlow, or equivalent, as well as your ability to translate insights into business recommendations, will be valuable assets in this role. We are looking for individuals who are passionate about building and shipping high-quality work, achieving high reliability, and working independently without guidance.This is a Software Engineering role, and core responsibilities include coding and applied engineering work. You will be expected to write high-quality, efficient, and maintainable code, and contribute to the development of innovative software solutions. In this role, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the development of innovative solutions that push the boundaries of scalable computing. We offer a dynamic and innovative work environment that encourages creativity and experimentation, as well as opportunities for professional growth and development. If you are passionate about driving innovation and advancing the way people connect, we encourage you to apply for this exciting opportunity. **Required Skills:** Research Scientist, Machine Learning (PhD) Responsibilities: 1. Proactively identify and drive changes as needed for your assigned codebase, product area and/or systems 2. Build strong cross functional partnerships and code deliverables 3. Suggest, collect and synthesize requirements and create effective feature roadmaps 4. Perform specific responsibilities which vary by team **Minimum Qualifications:** Minimum Qualifications: 5. Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Engineering or relevant technical field. Degree must be completed prior to joining Meta 6. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 7. Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent 8. Proven experience to translate insights into business recommendations 9. Experience building and shipping high quality work and achieving high reliability 10. Experience in systems software or algorithms 11. Experience programming in a relevant language 12. Experience identifying, designing and completing medium to large features independently, without guidance 13. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 14. Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub) 15. Research and/or hands-on experience in one or more of the following areas: Machine Learning, NLP, Recommendation Systems, Pattern Recognition, Data Mining, Computer Vision, Artificial Intelligence or other relevant fields 16. Experience with programming languages such as Python, R, MATLAB 17. Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as KDD, NeurIPS, ICML, WWW, ACL, ICLR, CVPR or similar 18. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward 19. Interpersonal experience working and communicating cross functionally in a team environment 20. Exposure to architectural patterns of large scale software applications **Public Compensation:** $58.65/hour to $181,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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-BellevueThe 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.

HIRING ASAP! If interested in more information/direct feedback, please reach out to me directly at ghilson@actalentservices. com and attach your resume and contact information. * BENEFITS:YES * PAY: $60-63 an hour depending on experience * SCHEDULE: Hybrid/Remote flexibility (when converted, it is fully onsite) Job Description: * Design and execute research projects to improve workplace experience. * Generate and analyze surveys; design upfront research to answer business questions. * Triangulate sentiment-based data with operational data (sales, occupancy). * Develop analysis plans and utilize various platforms for data analysis. * Collaborate with other research scientists and stakeholders. * Work independently with flexible scheduling (minimum 30 hours/week). Typical Tasks: * Define core projects and hypotheses. * Create surveys for new datasets; collaborate on existing datasets. * Perform heavy analysis and usability testing. * Weekly syncs with research scientists; optional biweekly team meetings. MUST HAVES: * PhD or Master's degree + 4+ years of quantitative field research experience. * Strong coding skills: SQL required; ability to use Python/R or similar for data analysis * Experience designing and developing surveys * Experience applying scientific principles to business problems and analyzing experimental/observational data sets NICE TO HAVES: * Experience with large datasets. * Familiarity with AWS tools. Job Type & Location This is a Contract position based out of Seattle, WA. Pay and Benefits The pay range for this position is $60.00 - $63.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Seattle,WA. Application Deadline This position is anticipated to close on Jan 29, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

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. At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities. Design and experiment new approaches to preference optimization. Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. Publish research findings in top-tier AI conferences. Ideally you'd have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. Excellent written and verbal communication skills Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000-$315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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! 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. Our goal is to recruit top talent and is dedicated to promoting outstanding employee experiences where all individuals are valued and offered equitable opportunities. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours. The Opportunity Adobe is looking for a Applied Research Scientist who will apply AI and applied research techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. Partnering with the business units, the candidate will be building various products that address challenging business problems through our customers' full lifecycle, from customer analytics to marketing media optimization. By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis. Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development. Familiarity with working with large-scale datasets and big data techniques would be a plus. What You'll Do Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques. Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems Collaborate with product management and engineering groups to develop new products and features. What You Need to Succeed PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required graduating between December 2025 - June 2026 0-2+ years of experience in specific skill/field(s) Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods. Proficient in one or more programming languages such as Python, Scala, Java and C Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn Knowledge and experience of working with relational databases and SQL Strong analytical and quantitative problem-solving ability. Excellent communication, relationship skills and a strong team player. 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 -- $238,600 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.In Washington, the pay range for this position is $146,300 - $211,850 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 **************.

IEH Laboratories, a Leader in Food Safety, is now accepting applications for a Research Scientist - Microbiology position at its facility in Seattle, WA. Applicants must possess a PhD degree in Microbiology, Food Science, or related field, with a minimum of 5 years of experience as postdoctoral fellow and strong knowledge of Bioinformatics required. The candidate should be highly motivated and proactive, have a strong passion for food microbiology and food science, and be willing to do their best to help our clients on their requested projects. The pay range for this position is $85,000.00 - $110,000 annually. This is a full-time position and is eligible for the following benefits after a brief waiting period: medical, dental, vision, life/AD&D insurance, long- and short-term disability insurance, 401(k), health and dependent care FSA plans, employee assistance program, 15 days of paid time off per year for sick leave and/or vacation, 3 days paid bereavement leave, and 6 paid holidays per year. Occasional weekend work, extended hours, and or presence in the lab outside of the normal schedule are sometimes required. This position may require occasional travel assignments depending on project needs. Due to exposure to various food allergens in the laboratory environment, applicants with moderate-to-severe food allergies are discouraged from

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.

Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted cancer therapies. We are advancing an innovative portfolio of therapeutics, drawing on leadership that previously played key roles in the design, development, and commercialization of cutting-edge therapies, including antibody-drug conjugate therapies. Our pipeline includes varegacestat, a late-clinical stage GSI; IM-1021, a clinical-stage ROR1 ADC; and IM-3050, a FAP-targeted radiotherapy that recently received IND clearance. We are also advancing a broad portfolio of early stage ADCs pursuing undisclosed solid tumor targets. Position Overview As a Research Associate III at Immunome, Inc., you will be a key contributor to our research and development initiatives, driving the optimization and delivery of antibody-drug conjugates (ADCs). In this role, you will design, produce, and characterize ADCs in support of program-specific objectives, while collaborating closely with cross-functional partners. Your expertise in bioconjugation will provide critical insights that help advance our therapeutic pipeline and strengthen our scientific capabilities. Responsibilities Research Design and Execution Generate high quality ADCs to enable advancement of named programs. Evaluate innovative bioconjugation and linker technologies. Assess developability of discovery stage ADCs. Work collaboratively with cross-functional teams to plan experiments aimed at advancing drug development projects. Independently perform laboratory experiments in accordance with established protocols, maintaining the highest standards of scientific rigor, documentation, and data integrity. Continuously optimize laboratory processes to improve workflow efficiency, reproducibility, and throughput. Manage ADC inventory and coordinate delivery of samples to cross-functional partners. Data Analysis and Interpretation: Characterize biophysical properties of ADCs using various techniques, such as analytical SEC, HIC, PLRP, and LC-MS. Interpret results and draw meaningful conclusions to guide decision-making. Project Collaboration Collaborate with colleagues from diverse scientific disciplines to achieve project goals. Participate in project team meetings, providing expertise and insights to drive projects forward. Continuous Learning and Development Stay informed about the latest bioconjugation advancements in the ADC field. Proactively seek opportunities for professional development and contribute to the scientific growth of the research team. Qualifications BS or MS in Biochemistry, Chemistry, or related field. Minimum of 5 years of experience (or 3 years of experience for MS) in preclinical drug development in the biotechnology or pharmaceutical industry. Proficiency in bioconjugation techniques and demonstrated experience in ADC pre-clinical development is a requirement. Knowledge and Skills Proficient in analytical techniques and purification methods relevant to biologics and ADC development (SEC, HIC, PLRP, and LC-MS, etc). Experience in antibody engineering and protein modification is a plus. Excellent communication skills, both written and verbal, to effectively collaborate with cross-functional teams and communicate scientific concepts to non-scientific stakeholders. Proven ability to adapt to changing priorities and work in a fast-paced, dynamic environment. Experience with Agilent OpenLab and Benchling is a plus. Please note, the internal title for this role is Research Scientist II, Bioconjugation Chemistry Washington State Pay Range$96,044-$107,008 USD E/E/O Immunome, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. E-Verify Immunome, Inc. is a participant in E-Verify. Please review the following notices: E-Verify Participation Poster | Right to Work Poster (English) | Right to Work Poster (Spanish).

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.

Talus Bioscience, a venture-backed early-stage biotechnology company, is at the forefront of developing innovative therapies for incurable cancers. Driven by the belief that "nothing is undruggable," we harness cutting-edge proteomics and AI during the initial stages of discovery to unlock previously inaccessible targets in cancer. At Talus Bio, we combine functional proteomics, automated biology, and machine learning to target hard-to-treat transcription factor proteins driving cancer. Exciting opportunities await at Talus Bio - your chance to be part of something transformative! Research Associate II Job Description Talus Bio is looking for a Research Associate II (RA II) to join our Biology / Drug Discovery team full-time in our Seattle office (this is an in-person role). This person will be naturally curious, results-driven, and eager to work in a small preclinical biotech environment. The person in this role will play a key role in supporting our drug discovery programs targeting transcription factors implicated in cancer, working closely with a multidisciplinary team of scientists to design, execute, and analyze experiments, providing critical data to advance our lead compounds through preclinical stages. This role is part of a pioneering team contributing to the development of innovative cancer therapies from the ground up. This role will assist with hit validation from our primary screens, primarily through running multiplex RT-qPCR and other assays as viability or reporter assays. It will involve extensive optimization, assay development, and medium-throughput testing and work on multiple projects simultaneously. Responsibilities Conduct laboratory experiments to support the discovery and characterization of small molecules targeting transcription factors in cancer. Perform cell-based assays (e.g., cell viability, apoptosis, and reporter assays) to evaluate compound efficacy and mechanistic effects on transcription factors. Utilize molecular biology techniques (e.g., PCR, RT-qPCR, CRISPR, RNAi) to analyze gene expression and validate targets Contribute to the design, optimization, and execution of assays for high-throughput screening and compound profiling. Maintain detailed and accurate laboratory notebooks and records in compliance with company policies. Collaborate effectively with team members to solve technical challenges and streamline workflows. Stay current on relevant literature and emerging technologies in cancer biology, transcription factor research, and drug discovery Ability to multitask and advance multiple projects at different stages simultaneously from assay development to compound screening Maintain complete, timely, and accurate records of all experiments performed, including experimental design, procedures, and data analysis Analyze/interpret experimental data and communicate the results and recommendations to other team members (oral and written formats) Must be highly-motivated and able to work independently QualificationsRequired Bachelor's degree in Molecular Biology, Biochemistry, Cancer Biology, or a related field Minimum of 3 years of laboratory experience with cell culture techniques and handling cancer cell lines, including a minimum of 2 years of hands-on research experience running RT-qPCR assays (including selection and custom-design of oligos). Alternately: Master's degree with at least 1 year of experience in a similar role Preferred Prior experience in drug discovery, especially with transcription factor targets in cancer. Familiarity with high-throughput screening assays and/or experience in hit-to-lead workflows. Familiarity with cell-based assays (e.g., cell viability, reporter assays for evaluating compound effects. Working knowledge of data analysis software (e.g., GraphPad Prism, Excel) and basic statistical methods. This position is only open to applicants that are legally authorized to work in the US. A cover letter is required to be submitted with the CV for all applicants. Our Commitment to Diversity & Inclusion Talus Bio is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Talus Bio to better meet our mission and serve healthcare communities around the world. We recognize that opportunities in the life sciences have 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 welcome all people including cisgender, transgender, agender, and intersex and are inclusive of non-binary folx. We strongly encourage individuals with these identities to apply. Salary and Benefits The salary range for this position is $80,000 - $90,000 per year. Despite being a small early-stage biotech, Talus Bio's first priority is the safety and wellbeing of all our employees and their families, both inside and outside of the lab. As part of this commitment, we have put a great deal of thought and care into developing a cost-effective and comprehensive benefits package for our team. Our benefits package includes but is not limited to the following: Medical/dental/vision insurance coverage with 100% company-paid premiums for employees and 50% company-paid for dependents $124/month commuter and transportation reimbursement program 401(k) plan with a 4% Talus Bio contribution (regardless of employee contribution) Basic Life and AD&D insurance coverage with 100% company-paid premiums Short- and Long-Term Disability insurance coverage with 100% company-paid premiums Paid sick leave (52 hours/year) 4 weeks of paid time off PLUS a paid end-of-year shutdown between Christmas Day and New Year's day 10 paid holidays Weekly meals, snacks, and drinks Flexible working hours Flexible working environment and schedule Yearly company retreat and quarterly company events Our Commitment to Diversity & Inclusion Talus Bio is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Talus Bio to better meet our mission and serve healthcare communities around the world. We recognize that opportunities in the life sciences have 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 welcome all people including cisgender, transgender, agender, and intersex and are inclusive of non-binary folx. We strongly encourage individuals with these identities to apply. Talus Bioscience, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Job Posted by ApplicantPro

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 Alzheimer's and Parkinson's diseases, with other amyloid diseases on the horizon. AltPep's 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 You'll 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.

The Department of Anesthesiology & Pain Medicine has an outstanding opportunity for a Research Scientist/Engineer 4 to join their team. The Raftery research group focuses on developing new methods and applications of metabolite profiling using a combination of mass spectrometry (MS) and NMR platforms which provide a broad-based approach for biomarker discovery and systems biology research. The main purpose of this position is to analyze the metabolomics data that we generate, as well as complementary, available genomic or proteomic data for several projects focused on understanding the biology of aging. The aging studies focus on numerous organisms, including humans, dogs, flies and through the Nathan Shock Center, mice or other model organisms. The Department of Anesthesiology & Pain Medicine has an outstanding opportunity for a Research Scientist/Engineer 4 to join the Raftery lab to investigate the biology of aging using metabolomics, genomics, and systems biology. This position is at 100% FTE. The RSE4 will need a high level of skill in oral and written scientific communication and extensive knowledge of systems biology, statistics and computational methods. The position will focus primarily on the statistical and pathway analysis of the complex metabolite data, including generating creative and new methods of analysis of the data, but will also involve biological interpretation and assisting other researchers with study design. The Scientist will be responsible for generating draft manuscripts and in assisting with proposal writing. DUTIES AND RESPONSIBILITIES Research Responsibilities = 70% Consult and coordinate on research efforts and study design with collaborators focused on aging. Write, develop, and modify data analysis code and workflows. Perform data transfer, data preparation, and cleanup of high-dimensional experimental data. Perform advanced statistical analysis of high-dimensional experimental data. Interpret findings within the biological context. Contribute experimental hypotheses for new scientific inquiries and novel directions of research. Assist researchers associated with the Shock Center pilot program by providing scientific feedback to enhance their research objectives. Participate in and contribute to scientific meetings of the Nathan Shock Center. Prepare analytic results for reports, publications, and presentations = 30% Initiate and/or contribute to the scientific writing of peer-reviewed publications. Contribute to scientific writing for grant applications. Communicate with collaborators and the larger scientific community via research presentations. MINIMUM REQUIREMENTS Master's degree in Genetics or Biochemistry and four 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 This position requires extensive systems biology, statistics, and computational methods knowledge as well as knowledge in the biology of aging. A high level of skill in oral and written scientific communication, including presenting at national and international conferences, and authorship and co-authorship of publications and grants. Extensive knowledge of statistical methods including multivariate and univariate analysis of large data sets, learning and predictive modeling, network analysis, and probabilistic approaches to test theories and develop hypotheses in systems biology. Systems biology knowledge requires a foundation in biology ranging from a detailed understanding of genetics, biochemistry, and molecular biology to whole organism physiology, development, and population demography. Those elements are utilized in developing and testing theories of aging and other biological phenomena using high-dimensional metabolomics, genomics, knowledge-based networks, and other data type. DESIRED QUALIFICATIONS · This position is best served by someone who can work independently to facilitate collaboration between investigators working across different fields of aging, biology and chemistry. · A fundamental understanding of mass spectrometry and chemical analysis is highly desired as it greatly increases the breadth of collaborations with the UW Northwest Metabolomics Research Center. Compensation, Benefits and Position Details Pay Range Minimum: $99,996.00 annual Pay Range Maximum: $120,000.00 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 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 - 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.

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.

Your New Company! At Altasciences we all move in unison to assist and work in the discovery, development, and manufacturing of new drug therapies to get them faster to people who need them. No matter your role, we all play an important part and you will have a significant impact on the health and well-being of people across the globe. By living our values of Employee Development, Customer Focus, Quality and Excellence, Respect and Integrity, we look to foster a passionate and collaborative work environment and we are looking for talented and enthusiastic people, like you, to join our growing team! Whether you're a recent college graduate or seeking your next career opportunity, it's time to discover your future at Altasciences. We are better together and together We Are Altasciences. About the Role As a Research Associate (RA), you will perform technical procedures, restrain animals, operate laboratory equipment, collect specimens, and data on laboratory animals (mice, rats, canines, non-human primates) as specified in protocols and Standard Operating Procedures (SOPs), and in compliance with GLP standards. Support study supervisor(s) and study director(s) by performing and assisting with sample and data collection on research studies. What You'll Do Here Follow SOPs and Protocols to perform procedures on study and stock animals, including, but not limited to: clinical observations, food consumptions, body weights, urine collection, administering injectable anesthesia, mating procedures, blood draws (all routes), dose administration (all routes), euthanasia, catheter placement, restraint, enrichment, feeding and food removal Follow written and verbal instruction: Standard Operating Procedures (SOP), protocols, daily schedules Record, enter and review raw data, study and facility Set up for procedures and maintains ancillaries on study animals Operate selected laboratory equipment (i.e., glucometer, Harvard pump, digital thermometer) Monitor and report changes in animal behavior or health, and problems with animal rooms (e.g., caging, lights, and temperature) to all appropriate personnel Maintain general cleanliness and organization of work areas Monitor and report study changes to study director and all appropriate personnel Review and provide input on the creation and revision of SOPs relating to animals, technical procedures and facility issues Perform husbandry duties Cross training in other departments available What You'll Need to Succeed High school diploma or equivalent, required; BA/BS in a scientific discipline preferred Experience working with animals in research or a regulated environment preferred ALAT certification preferred Intermediate computer experience including Microsoft Office suite, Project, Info Path and Access Readily adapts to new software English proficiency required to read and interpret documents such as industry specific documents, write routine reports and correspondence Basic math skills as they apply to interpreting scientific data Solid reasoning abilities Work cross functionally on process improvements Demonstrates attention to detail while multi-tasking Maintain organization in a fast paced, changing environment Able to manage change Readily adapts to new projects Positive attitude toward work and co-workers Comfortable communicating with all levels of management and employees Identify and resolve problems as they are encountered Practical problem solving skills when deal with a variety of concrete variables Interpret a variety of instructions furnished in written, verbal, diagram, or schedule form What We Offer The pay range estimated for this position is $22.25 - $36.00 annually. Please note that hourly rates/salaries vary within the range based on factors including, but not limited to, prior relevant experience, skills, education, certification, location as well as internal equity and market data. Benefits Altasciences offers a wide variety of benefits to help our employees live healthy and fulfilling lives both at and outside of work. Altasciences' Benefits Package Includes: Health/Dental/Vision Insurance Plans 401(k)/RRSP with Employer Match Paid Vacation and Holidays Paid Sick and Bereavement Leave Employee Assistance & Telehealth Programs Telework when applicable Altasciences' Incentive Programs Include: Training & Development Programs Employee Referral Bonus Program #LI-ES1 MOVING IN UNISON TO DELIVER A BIG IMPACT WITH A PERSONAL TOUCH Altasciences is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability or any other protected grounds under applicable legislation. Reasonable accommodations for persons with disabilities during the recruitment process are available upon request. Join us at Altasciences!

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 June 1st (10 months prior to start) Fall class: please submit application with LORs by December 1st (10 months prior to start). 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 *****************************