Mixed-Methods Researcher

Job not on LinkedIn

🔥 48 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👻 Ghost score 25%

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• 102 open roles for a team of 16.
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Bask Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Pre Seed Round on 2022-05

Healthcare • Consulting • Logistics

Bask Health is a robust platform providing a comprehensive suite of customizable telehealth solutions. It offers tools such as a questionnaire builder, patient portals, and pharmacy fulfillment services, all secured with strong encryption and HIPAA-compliance. Bask Health seamlessly integrates telehealth and e-commerce, enabling streamlined patient care from consultation to delivery. The platform supports entrepreneurs, doctors, and developers by offering scalable no-code solutions that enhance user experience and business growth. With its nationwide pharmacy network, Bask Health empowers businesses to efficiently manage prescriptions, patient data, and order fulfillment across the entire digital health landscape.

📋 Description

• Lead mixed-methods research projects across Bask Health's software platform. • Combine qualitative and quantitative evidence to investigate user needs and product performance. • Partner with product managers to define research questions, hypotheses, and study objectives. • Design research plans incorporating appropriate qualitative and quantitative methods. • Conduct user interviews to understand behaviors, motivations, and challenges. • Plan and execute moderated and unmoderated usability studies. • Develop surveys measuring user perceptions, satisfaction, comprehension, and experience. • Analyze survey results and identify meaningful response patterns. • Examine product funnels, workflow completion, and behavioral trends using available analytics. • Investigate differences between observed user behavior and reported user experiences. • Research merchant onboarding, storefront configuration, and administrative workflows. • Evaluate patient onboarding, questionnaires, and other multi-step experiences. • Identify friction points affecting task completion and workflow efficiency. • Develop research hypotheses based on behavioral data and user feedback. • Apply appropriate statistical methods to quantitative research findings. • Evaluate sample quality, potential bias, and limitations in research conclusions. • Collaborate with analytics and engineering stakeholders to understand product event data. • Recommend measurement improvements supporting future product research. • Design and evaluate concept tests for proposed product improvements. • Support experiment design and interpretation when product teams conduct controlled tests. • Collaborate with product designers to validate proposed interaction changes. • Work with content designers to evaluate comprehension and interface terminology. • Develop research summaries connecting qualitative insights with quantitative evidence. • Create journey maps, behavioral findings, and opportunity assessments. • Present research findings and recommendations to product, design, engineering, and leadership teams. • Help teams prioritize improvements based on user needs, evidence quality, and expected impact. • Maintain organized research documentation, datasets, and reusable findings. • Independently manage mixed-methods research initiatives from planning through analysis and communication. • Conduct research with attention to privacy, participant consent, sensitive information, and approved clinical workflow boundaries. • Help develop repeatable research practices and improve company-wide sharing of qualitative and quantitative insights.

🎯 Requirements

• 3+ years of professional experience in UX research, mixed-methods research, product research, behavioral research, or a closely related field. • Portfolio or case studies demonstrating the use of qualitative and quantitative methods to answer product questions. • Experience independently planning and conducting research for digital products. • Strong understanding of qualitative research methods, including interviews and usability testing. • Experience designing and analyzing user surveys. • Working knowledge of quantitative research methods and statistical reasoning. • Ability to combine qualitative findings with behavioral or survey data. • Experience defining research questions, hypotheses, and study objectives. • Ability to select appropriate research methods based on product needs. • Experience evaluating complex digital workflows and user journeys. • Familiarity with product analytics and behavioral measurement. • Ability to interpret user behavior, task completion, and workflow performance data. • Understanding of sampling, research bias, and limitations of quantitative findings. • Experience synthesizing research findings into actionable product recommendations. • Ability to distinguish correlation from causation and communicate uncertainty appropriately. • Experience collaborating with product managers and product designers. • Familiarity with usability testing and iterative product development. • Ability to communicate quantitative findings to nontechnical stakeholders. • Experience creating research reports and presenting evidence-based recommendations. • Understanding of research ethics, informed consent, and responsible data handling. • Familiarity with participant recruitment and screening. • Strong analytical thinking and problem-solving skills. • Excellent written and verbal communication skills. • Strong attention to detail and research quality. • Ability to independently manage research projects involving multiple data sources. • Nice to Have: Experience conducting mixed-methods research for SaaS platforms. • Nice to Have: Familiarity with B2B software and merchant-facing applications. • Nice to Have: Experience researching e-commerce or direct-to-consumer products. • Nice to Have: Background in healthcare, telehealth, or patient-facing digital experiences. • Nice to Have: Experience analyzing onboarding funnels and workflow completion. • Nice to Have: Familiarity with Amplitude, Mixpanel, Google Analytics, or comparable product analytics platforms. • Nice to Have: Experience using SQL to explore product or research data. • Nice to Have: Familiarity with Python, R, or statistical analysis tools. • Nice to Have: Experience designing controlled experiments or A/B tests. • Nice to Have: Understanding of statistical significance, confidence intervals, and practical effect sizes. • Nice to Have: Experience developing and analyzing structured survey instruments. • Nice to Have: Familiarity with Qualtrics, SurveyMonkey, or comparable survey platforms. • Nice to Have: Experience using Dovetail, UserTesting, Maze, or comparable research tools. • Nice to Have: Familiarity with Figma prototypes and concept testing. • Nice to Have: Experience conducting segmentation or cohort-based research. • Nice to Have: Understanding of accessibility research and inclusive study practices. • Nice to Have: Familiarity with white-label or multi-tenant SaaS platforms. • Nice to Have: Experience evaluating AI-assisted product experiences. • Nice to Have: Understanding of healthcare-related privacy considerations and sensitive data handling. • Nice to Have: Experience developing research repositories and repeatable measurement frameworks.

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