Role Description We are seeking a Senior UX Researcher (Mixed Methods) to support a high‑impact product team focused on foundational user experience work. This role involves leading both qualitative and quantitative research initiatives, partnering closely with cross‑functional teams, and shaping product strategy through actionable insights. You will work alongside researchers, product managers, data scientists, designers, and engineers to guide decisions throughout the product development lifecycle. This position requires strong methodological expertise, exceptional analytical skills, and the ability to operate independently in a fast‑paced, evolving environment. Experience with AI‑native research tools and advanced quantitative methods is strongly preferred. Key Responsibilities - Collaborate with researchers, designers, product managers, and engineers to identify research needs and deliver actionable insights. - Develop and execute research roadmaps, working independently and collaboratively. - Lead end‑to‑end qualitative and quantitative studies across all phases of the product development cycle. - Conduct usability testing, in‑depth interviews, diary studies, surveys, and other mixed‑methods research. - Analyze and synthesize findings into clear, compelling insights that inform product strategy and execution. - Contribute to go‑to‑market planning by providing user‑driven recommendations. - Utilize AI tools to enhance research efficiency, analysis, and reporting. - Manage multiple research initiatives simultaneously while adapting to shifting priorities. - Support competitive research initiatives, including large‑scale surveys and cognitive‑based question design. - Partner with cross‑functional teams to design, evaluate, and refine ability‑based tasks and foundational product experiences. Qualifications - Bachelor’s degree in Human‑Computer Interaction, Psychology, Social Science, Business, or related field. - 8+ years of experience in UX, product, or user research. - Expertise in mixed‑methods research, including qualitative (IDIs, usability, contextual inquiry) and quantitative (surveys, benchmarking, card sorting, tree testing) methodologies. - Strong proficiency with research tools such as UserTesting, UserZoom, Lookback, dscout, Optimal Workshop, and familiarity with design tools like Figma or Origami. - Demonstrated ability to independently design, manage, and execute complex research studies. - Strong analytical skills with the ability to conduct advanced quantitative analysis and interpret statistical findings. - Excellent communication skills with the ability to translate complex insights into clear, actionable recommendations. - Ability to work autonomously, manage multiple projects, and adapt to evolving priorities. Preferred Qualifications - Experience with AI‑driven or AI‑native research methodologies. - Ability to integrate AI tools into qualitative and quantitative workflows. - Experience running diary studies and other longitudinal research methods. - Strong attention to detail and experience with 1:1 qualitative moderation. - Ability to lead competitive surveys and manage outsourced research components. - Demonstrated versatility as a research generalist with strong quantitative depth. Typical Day‑to‑Day Activities - Designing and launching usability studies - Conducting qualitative interviews and moderation - Running surveys and quantitative analyses - Collaborating with cross‑functional partners on research planning - Synthesizing findings and delivering reports - Leveraging AI tools to streamline research and reporting workflows Performance Evaluation - Meeting research deliverables and timelines - Quality and clarity of insights - Ability to operate independently and adapt to changing needs - Effective collaboration with cross‑functional partners Location - Remote (NYC or California) Role Type - Contract 5 Month Position Expected Hours - 40 per week Benefits - Dental insurance - Health insurance - Health savings account - Life insurance - Paid time off - Retirement plan - Vision insurance Schedule - 8 hour shift - Monday to Friday Application Question(s) - Do you or will you in the future require any sponsorship to work in the US? Language - English (Required)

UX Researcher, Vehicle Experience Foster City, CA Product – Experience Design / Full-time / Hybrid We are looking for a mixed-method Vehicle Experience Researcher, which will be the glue between the digital interface and the physical cabin experience for Zoox. This role requires a high-velocity researcher who is just as comfortable designing a complex quantitative benchmark study as they are running extensive in-vehicle testing. You will navigate the unique intersection of software and hardware, ensuring that everything of the vehicle works as a single, cohesive system. In this role you will: - Design and execute both qualitative and quantitative research that uncovers core user needs, behaviors, and experience patterns - Synthesize insights into clear frameworks that inform product direction - Contribute to defining principles that guide the evolution of in-vehicle experience - Move beyond individual features to map the entire end-to-end vehicle rider experience journey. - Conduct foundational research in ambiguous, early-stage product areas where the problem space is not well defined. - Design and run robust quant studies to establish experience benchmarks. You will define what "good" looks like and track our progress against those metrics as the vehicle platform and in-cabin experience evolves. - Lead a high volume of testing sessions within the vehicle to validate features.  - Investigate how digital touchpoints sync with physical movements and cabin environments. - Partner closely with Product, Design, and Vehicle Engineering - Translate research findings into clear implications for product decisions - Proactively identify opportunities where research can drive impact Qualifications -  7+ years of experience in UX Research, HCI, Human Factors, or a related field - Strong experience in both qualitative and quantitative research methods. Proven experience designing and running quantitative benchmarking studies and analyzing complex datasets. - A portfolio that demonstrates research on products with both hardware and software touchpoints. - Ability to manage a high volume of tactical testing while maintaining a strategic, system-level perspective. - Ability to travel 5–10% within the US to support testing and research initiatives Bonus Qualifications -  Experience in automotive, robotics, aerospace, or specialized consumer hardware (e.g., VR/AR, smart home). - Ability to "speak engineer"—understanding the constraints of vehicle platforms, thermal systems, and motion profiles. - Experience working in large, complex organizations where building cross-functional alliances is key to getting things done. $157,000 - $188,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Role Description Join AIR as a Quantitative Researcher with our Healthcare Innovations team. Our team works collaboratively to unravel the intertwined challenges of health care quality, costs, and access. Our team of experts – nurses, physicians, psychologists, economists, sociologists, data scientists, and public health experts – advance evidence and save lives by leading rigorous research and evaluation; results-driven technical assistance and training; and leading-edge data science and technology tools. This position has the flexibility to work remotely within the United States (U.S.) or from one of AIR’s U.S. office locations. This does not include U.S. territories. Responsibilities: - Lead or contribute to the design and execution of rigorous research and evaluation projects. - Apply appropriate quantitative methods to collect, manage, analyze, and interpret data. - Translate complex findings into clear, actionable insights and recommendations for client reports, technical memos, and presentations. - Support proposal development through writing technical sections, developing budgets, and contributing to proposal strategy. - Manage small to mid-sized tasks or project components, including planning timelines, tracking deliverables, and liaising with clients while maintaining positive and collaborative relationships. - Mentor and guide junior staff through regular feedback, training, and modeling of research best practices. - Engage with stakeholders and partners through meetings, briefings, and dissemination activities. - Contribute to a collaborative environment that values and respects a wide range of perspectives, abilities, backgrounds, and experiences. Qualifications - PhD in a relevant field (e.g., Economics, Statistics, Public Policy, Public Health, Human Development, Political Science, Psychology, Sociology, or a related discipline), or a Master’s degree with at least four years of quantitative research experience. - Experience conducting applied quantitative health research or analytics, particularly using Medicare beneficiary, provider, and claims data. - Experience working with large datasets, particularly administrative or health-related data (e.g., claims, enrollment, provider, or survey data). - Experience collaborating with cross-functional teams (e.g., programmers, analysts, policy staff) and contributing to or coordinating analytic workflows. - Experience interpreting analytic results and contributing to reports, briefs, or presentations that inform program, policy, or operational decisions. - Experience working on research or evaluation projects for federal, state, or local agencies or other public or nonprofit entities. - Familiarity with CMS, Medicare, Medicaid, or other federal health programs preferred, but not required. Requirements - Strong quantitative and data analysis skills, including experience with statistical and data tools such as SAS, SQL, Stata, R, or similar software. - Ability to document analytic methods, conduct data quality checks, and support reproducible research practices. - Excellent communication skills, with an ability to convey complex information and collaborate efficiently in a virtual work environment. - Ability to manage multiple tasks and deadlines independently while contributing to a collaborative team environment. - Proven ability to coach junior staff and foster inclusive team dynamics. - Strong organizational and time management skills. - Attention to detail and commitment to accuracy in data analysis and report writing. Benefits - Anticipated Annual Salary Range: $96,100 — $128,100 USD.

Role Description We’re looking for a Quant Researcher with hands-on experience applying volatility models in live trading in TradFi markets. We expect the candidate to: - Have practical experience calibrating volatility surfaces on real market data, including handling gaps, latency issues, and so on to effectively use realistic data available in the market. - MFT’ish research is a must. HFT is nice to have. - Understand how to enforce smoothness, arbitrage-free conditions, and temporal stability. - Be able to tune and debug models under realistic market conditions – including bid/ask spreads, noise, and incomplete markets. - Design and implement logic for position-driven dynamic surface shaping, including: - How current portfolio Greeks (vega, gamma, skew) should influence surface parameters such as skew, curvature, and wing behavior. - Hands-on experience is required for dynamically adapting surface shape based on current exposure. - Ability to identify, model, and mitigate residual noise in implied volatility surfaces, especially: - near expiry, - around illiquid strikes, - or in event-driven conditions. Qualifications - Python (mandatory), with strong use of NumPy, pandas, matplotlib, SciPy, and relevant optimization/ML libraries. - Familiarity with standard quant libraries (QuantLib, or custom volatility tools). - PyTorch / TensorFlow experience (strongly preferred). - Experience with NSE options and/or other TradFi derivatives with margin impact is a major plus. Requirements - Familiarity with practical heuristics for surface management. - Working (not just academic) experience applying ML/DL models (e.g., PyTorch, TensorFlow) to this problem. - Understanding of model explainability and risk of overfitting in execution-sensitive environments. - Direct experience in spot/futures vs. options arbitrage. Benefits - Experience a modern international technology company without the burden of bureaucracy. - Collaborate with industry-leading professionals, including former employees of Tower, DRW, Broadridge, Credit Suisse, and more. - Enjoy excellent opportunities for professional growth and self-realization. - Work remotely from anywhere in the world with a flexible schedule. - Receive compensation for health insurance, sports activities, and non-professional training.