Title: Research Scientist/Engineer 2 - Social Scientist Location: Seattle United States Job Description: The UW Climate Impacts Group (CIG) has an outstanding opportunity for a Research Scientist 2 – Social Scientist to join their team. About this Opportunity Reporting to one of CIG’s Principal Investigators, the Research Scientist 2 – Social Scientist is responsible for expanding the CIG's social science, policy, and governance capabilities. We are seeking a candidate with a social science or policy background and project management experience who can add breadth to the work we do and support CIG’s senior researchers on climate change adaptation projects with our federal, tribal, state, and local partners. While educational attainment is valued, we also encourage applications from practitioners who have worked in government, non-profits, and consulting who can bring a practical social science orientation to the CIG team. This is a full-time research position with no teaching expectations and no path to university tenure. This position is primarily intended to serve applied research, which may come at the expense of opportunities to pursue published research. This is a hybrid position with an expectation to work on-site at the UW Seattle campus at least two days per week; the remaining days may be worked remotely, with supervisor approval. Our in-office days are currently Monday and Wednesday. Key Responsibilities Independent Research and Research Support [55%] - Independently apply social science and/or policy research methodologies to implement and support CIG research and engagement objectives, including integrating climate considerations into a variety of policy mechanisms - Assist and provide leadership in project-specific research needs, such as literature reviews, contextual analyses, needs assessments, or developing monitoring and evaluation strategies - Proactively work with CIG senior research staff to identify opportunities to assist existing clients to move from climate change planning to implementation - Support the director and deputy director in CIG-relevant policy processes and initiatives Project Management [20%] - Work with CIG senior research staff to provide logistical support for projects - Develop project tracking and reporting mechanisms - Organize meetings, which may include notetaking, agenda development, room reservations, etc. Stakeholder Engagement [15%] - Collaborate with state or local government decision makers - Collaborate with frontline community partners - Collaborate with partner scientists from other universities Grant Writing and Proposal Development [5%] - Collaborate with CIG senior research scientists to integrate social or policy sciences into project opportunities or proposals - Maintain records and submit reports related to grant opportunities - Write grant or proposal sections as needed Other Duties as Assigned [5%] Required Qualifications To be considered for this opportunity, your application must demonstrate that you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration. Minimum Qualifications Applicants who do not meet these qualifications will not be forwarded to the Hiring Department. - Bachelor’s degree in public policy, geography, psychology, sociology, economics, or a related field - Minimum of 2 years of experience supporting public policy and/or research Additional Qualifications - Knowledge of or experience in applied climate change impacts and adaptation - Demonstrated familiarity with applying social science methods to policy issues and/or the practical needs of federal, tribal, state and/or municipal governments Preferred Qualifications - Master’s degree in a related field - Social science methodological experience associated with applied social science research (e.g., interview methodologies, literature reviews, policy evaluation) - Demonstrated experience working directly with frontline communities - Demonstrated experience working in state or municipal government or in a practical policy- or governance-focused position - Experience with co-production and use-inspired research - Experience evaluating complex social and policy processes - Strong analytical and problem-solving skills and an ability to quickly adapt to new topics and challenges (e.g., research topics, institutional contexts, new methodologies or software tools) - Demonstrated ability to communicate complex scientific information in clear and concise language appropriate for diverse audiences (e.g., scientists, businesses, policy makers, university students, mass media, etc.) - Demonstrated experience deploying and interpreting results from technologies that support synthesis, analysis, and modeling, such as large language models. geospatial analysis platforms (GIS, QGIS), databases (SQL), and/or coding environments (R, Python, vibe coding) - Proficiency with quantitative and qualitative data analysis may include meteorological data, geospatial data, time series analysis, development and computation of metrics, etc. Working Conditions Occasional travel within the UW Seattle campus and partner sites across the states of Washington, Oregon, and Idaho may be required.  About the Team The University of Washington Climate Impacts Group (CIG) supports the development of climate resilience by advancing understanding of climate risks & enabling science-based action to manage those risks. Since 1995, the Climate Impacts Group has linked cutting-edge scientific research with innovative approaches to community engagement to produce exceptional research products, develop strong relationships among resource managers, planners, and policy makers in the region and build regional capacity for addressing climate variability and change. The Climate Impacts Group is administratively housed within EarthLab in the College of the Environment. Compensation, Benefits and Position Details Pay Range Minimum: $68,736.00 annual Pay Range Maximum: $78,000.00 annual Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United States of America) Temporary or Regular? This is a regular position FTE (Full-Time Equivalent): 100.00% Union/Bargaining Unit: UAW Research

• Perform routine data management tasks (data cleaning, data processing, merging data files) • Perform data validations/quality assurance • Perform complex and advanced statistical analyses • Prepare reports, manuscripts, briefing materials, etc • Contribute to the development of data management and data analyses plans

Role Description The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you are energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. The Sponsored Products and Brands -- Offsite team builds solutions that extend campaigns beyond the Amazon store, reaching shoppers across third-party environments where they discover and shop. We combine large-scale, low-latency systems with advanced machine learning and AI to deliver high-quality sponsored experiences in high-intent surfaces. As a Senior Applied Scientist on this team, you will: - Effectively communicate technical and non-technical ideas with teammates and stakeholders, adjusting your delivery to the audience to maximize impact. - Drive or heavily influence the design of scientifically-complex software solutions or systems, taking ownership of these components and providing a system-wide view and design guidance. - Define a long-term science vision and roadmap for our Offsite advertising business, driven from our customers' needs. - Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end. - Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses. - Identify opportunities where GenAI solutions can accelerate learning and efficiency, and drive greater advertiser outcomes. - Mentor and guide junior scientists, fostering a collaborative and high-performing team culture. - Stay up-to-date with advancements and the latest modeling techniques in the field. Qualifications - 3+ years of building machine learning models for business application experience. - PhD, or Master's degree and 6+ years of applied research experience. - Experience programming in Java, C++, Python or related language. - Experience with neural deep learning methods and machine learning. Requirements - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Benefits - Comprehensive health insurance (medical, dental, vision, prescription). - Basic Life & AD&D insurance and option for Supplemental life plans. - EAP, Mental Health Support, Medical Advice Line. - Flexible Spending Accounts. - Adoption and Surrogacy Reimbursement coverage. - 401(k) matching. - Paid time off. - Parental leave.

• Lead immunology-driven research strategy across pipeline programs to support scientific narrative and indication assessment, integrating literature, experimental data, and translational insights • Design and oversee mechanism-of-action studies to elucidate target biology, pathway modulation, and disease relevance across in vitro, ex vivo, and in vivo models, executed in partnership with CROs • Partner closely with Translational Medicine, Clinical Pharmacology, and Nonclinical teams to ensure alignment of preclinical findings with clinical strategy • Generate and interpret complex datasets (e.g., cellular immunology, cytokine profiling, pathway analysis), ensuring rigorous and hypothesis-driven conclusions • Identify and validate new targets and pathways for pipeline expansion, leveraging deep understanding of disease biology, emerging science, and internal platform capabilities • Evaluate and prioritize new indication opportunities, integrating mechanistic rationale, competitive landscape, and translational feasibility • Support external collaborations and CRO activities, providing scientific direction and technical oversight to ensure high-quality data generation • Author and contribute to scientific documents, including study reports, regulatory sections (e.g., IND-enabling rationale), presentations, and publications • Present findings to internal governance teams and external scientific forums • Stay current with advances in immunology, inflammation, and translational science, applying new insights to strengthen program and pipeline strategy