Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Genomics

Location: Oxford or London, United Kingdom

Job Type: FULL_TIME

Category: Product Design / UX/UI

Date Posted: 2026-05-07

Experience Level: Mid to Senior Level (5-10 years estimated)

Remote Status: Hybrid

🚀 Role Summary

• Translate complex scientific and genomic workflows into intuitive and user-friendly experiences for the Mystra SaaS platform.

• Design and develop interaction patterns for cutting-edge AI and LLM-integrated features, ensuring trust and usability for scientists.

• Collaborate closely with Product and Engineering teams to define features, map user flows, and ensure high-fidelity execution from concept to production.

• Contribute to the development of scalable, reusable design systems and components to enhance the overall product architecture.

📝 Enhancement Note: While the provided job title is "Senior Product Designer," the extensive description of translating complex scientific workflows, designing AI interfaces, and requiring technical literacy (API-first architectures, data structures) suggests a strong overlap with roles that bridge UX/UI design with a deep understanding of complex technical systems. This role is ideal for a designer who can effectively communicate with technical stakeholders and contribute to product definition from a user-centric yet technically informed perspective. The emphasis on "AI-assisted coding tools" and direct front-end contributions points towards a hybrid role that values technical fluency.

📈 Primary Responsibilities

• Product Definition & Collaboration: Partner with Product Managers to translate high-level strategic priorities into detailed, actionable user stories and clear design specifications, ensuring engineering teams have the necessary context for effective implementation.

• UX Architecture & User Flow Design: Architect complex user journeys for statistical geneticists and bioinformaticians, simplifying dense technical information (e.g., API responses) and validating information architecture (IA) through user research.

• AI/LLM Interface Design: Develop thoughtful and empathetic interaction patterns for LLM-integrated features, focusing on how scientists can effectively prompt, iterate, and build trust in AI-generated outputs within critical workflows.

• UI Execution & Prototyping: Create high-fidelity Figma prototypes and potentially contribute directly to front-end implementation using AI-assisted coding tools, ensuring a seamless transition from design to production.

• System Design & Component Development: Think in terms of scalable systems, building reusable components that contribute to a cohesive and robust design language across the Mystra platform.

• User Research & Validation: Conduct or collaborate on user research to synthesize insights, validate design decisions, and ensure the user experience meets the needs of scientific professionals.

📝 Enhancement Note: The responsibilities highlight a strong need for a designer who can operate at the intersection of complex scientific domains and advanced technology. The emphasis on "AI Interface Design" and "LLM capabilities" indicates a forward-looking role requiring an understanding of emerging AI interaction paradigms. The expectation of "direct front-end contributions using AI-assisted coding tools" suggests a preference for candidates with a technical background or a strong comfort level with code, enabling faster iteration and a deeper understanding of technical constraints.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field is typically expected for a Senior Product Designer role. Equivalent practical experience will also be considered.

Experience: A minimum of 5-10 years of professional experience in Product Design, UX/UI Design, or a closely related field, with a proven track record of delivering complex digital products.

Required Skills:

• Full-Spectrum Design Proficiency: Demonstrated ability across the entire design lifecycle, including user research, information architecture (IA), UX design, UI design, and prototyping.

• Figma Expertise: Advanced proficiency in Figma for creating high-fidelity designs, interactive prototypes, and design systems.

• AI/LLM Interface Design: Strong understanding of LLM capabilities and limitations, with experience designing for AI-driven features, including prompt engineering interfaces and managing uncertainty/error states.

• System Thinking & Design Systems: Ability to design scalable, reusable components and maintain a cohesive design system for complex applications.

• Technical Literacy: Comfort with API-first architectures, specialized data structures, and a curiosity for technical concepts; ability to engage in technical discussions with engineering teams.

• User-Centricity: Deep empathy for users and a commitment to designing solutions that address their specific needs and workflows.

• Self-Direction & Ownership: Proven ability to work independently, manage projects from brief to delivery, and take pride in owning the outcome.

• Collaboration Skills: Ability to collaborate effectively with Product Managers, Engineers, and other stakeholders.

Preferred Skills:

• Front-end Implementation: Experience with front-end coding (e.g., HTML, CSS, JavaScript) or familiarity with AI-assisted coding tools for direct contribution to production.

• Scientific/Bioinformatics Domain Experience: Familiarity with scientific workflows, statistical genetics, bioinformatics, or drug discovery processes.

• User Research Methodologies: Experience conducting and synthesizing qualitative and quantitative user research.

• Agile/Scrum Environment Experience: Working knowledge of agile development methodologies.

📝 Enhancement Note: The "Who You Are" section strongly implies a candidate who is not just a visual designer but a strategic problem-solver with technical acumen. The mention of "API-first architectures" and "specialised data structures" suggests that candidates with a background that touches on engineering or data science will be highly valued. The "technical literacy" requirement is key, as it signifies that the company is looking for someone who can understand and design for complex technical systems, not just user interfaces in isolation.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrated Impact: A portfolio showcasing a range of projects that highlight your ability to solve complex user problems and drive tangible business or scientific outcomes.

• Full Design Lifecycle: Examples demonstrating your involvement across the entire design process, from initial research and ideation to final UI execution and, ideally, some involvement in production or post-launch analysis.

• System Design Examples: Showcase projects where you've contributed to or built scalable design systems, reusable components, or architected complex user flows.

• AI/LLM Interaction Design: If possible, include case studies or examples of designing interfaces for AI-powered features, demonstrating your approach to trust, uncertainty, and user interaction with intelligent systems.

• Technical Context: Projects that show an understanding of technical constraints or how data structures and APIs influenced your design decisions.

Process Documentation:

• Workflow Design & Optimization: Submissions should clearly articulate the user problems identified, the design process followed, and how the final solution optimized existing workflows or created new, more efficient ones.

• System Implementation: Detail how design systems or component libraries were developed, implemented, and maintained to ensure consistency and scalability.

• Measurement & Analysis: Where possible, include metrics or qualitative feedback demonstrating the success and impact of your designs on user behavior, efficiency, or key business objectives.

📝 Enhancement Note: For a Senior Product Designer role, especially one involving complex technical domains and AI, the portfolio is critical. It needs to go beyond just showcasing polished UIs. Applicants should be prepared to demonstrate a deep understanding of user needs within scientific contexts, their ability to architect complex systems, and their comfort with technical aspects of product development. Projects involving data visualization, complex workflows, or AI interactions will be highly relevant.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior Product Designers in London, UK, with 5-10 years of experience in a TechBio/SaaS environment, a competitive salary range would likely be between £70,000 and £100,000 per annum. This range accounts for the seniority of the role, the specialized domain (genomics, AI), and the location.

Benefits:

• Competitive Reward: Annual salary benchmarking to ensure market alignment.

• Clear Career Path: A transparent and open progression framework to guide career advancement.

• Continuous Learning: Access to external courses and a wide library of L&D materials.

• Generous Holiday Entitlement: 25 days annual leave, plus bank holidays, plus an additional 3-day company-wide shutdown at year-end.

• Financial & Health Security:

  • Market-leading pension scheme.
  • Comprehensive private health insurance (for employee and family, with no excess).
  • Critical illness cover.
  • Life assurance.

• Enhanced Family Leave: Paid family leave to support new parents.

• Flexible Holiday: "Bank Your Bank Holiday" program, allowing exchange of public holidays for personally significant dates.

• Commute Support: Cycle-to-Work scheme and proximity to major transport hubs.

Working Hours: The standard working hours are likely to be around 40 hours per week, typical for a full-time role. The company offers a hybrid working model, providing flexibility in how and where work is conducted within the specified locations, suggesting a focus on output and flexibility rather than strict time-logging.

📝 Enhancement Note: The provided benefits are comprehensive and reflect a company that values employee well-being and professional development. The "Bank Your Bank Holiday" program is a unique perk that demonstrates a commitment to inclusivity and personal employee needs. The salary estimate is based on publicly available data for similar roles in London, considering the specialized nature of the company (TechBio) and the seniority level.

🎯 Team & Company Context

🏢 Company Culture

Industry: Genomics and TechBio (Technology + Biotechnology). The company operates at the intersection of advanced genetic data, AI, and drug discovery, aiming to accelerate treatment development and improve predictive healthcare. This is a rapidly evolving, data-intensive, and scientifically complex field.

Company Size: While not explicitly stated, the description suggests a growing, mid-sized to large tech company that has established a significant platform (Mystra SaaS) and is actively expanding its capabilities in AI and drug discovery. The need for a Senior Product Designer implies an established product team.

Founded: The founding date is not provided, but the description implies a company with a strong scientific foundation and a forward-looking approach to technology and healthcare.

Team Structure:

• Product & Design Integration: The Senior Product Designer will work closely with Product Managers to define product strategy and user stories, indicating a tightly integrated Product/Design function.

• Cross-functional Collaboration: Close collaboration with Engineering teams is essential, particularly for translating designs into production-ready features and potentially for front-end contributions.

• Scientific Expertise: The team likely includes individuals with deep scientific expertise (statistical geneticists, bioinformaticians) who are the primary users of the Mystra platform, requiring designers to understand and cater to their specialized needs.

Methodology:

• Data-Driven Science: The company's mission is "science-led," implying that data analysis, scientific rigor, and evidence-based decision-making are core to its operations.

• AI-Enabled Innovation: The use of AI and proprietary analytics platforms is central to their approach, suggesting a culture that embraces cutting-edge technology and innovation.

• User-Centric Development (for Scientists): While focused on scientific outcomes, the role emphasizes translating complex workflows into intuitive experiences for scientific users, indicating a strong user-centric approach within the technical domain.

Company Website: https://genomics.com/

📝 Enhancement Note: The company's mission to "help people live longer, healthier lives" through genomics and AI is a powerful differentiator. This context is crucial for designers, as it means their work has a direct impact on potentially life-changing scientific advancements and healthcare outcomes. The "TechBio" label suggests a culture that values both scientific depth and technological innovation.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Product Designer. This implies a level of autonomy, the ability to lead design initiatives, mentor junior designers (potentially), and influence product strategy. The expectation to "own your work from brief to delivery" and to "think in systems" signifies a high level of responsibility and strategic contribution.

Reporting Structure: The Senior Product Designer will likely report into a Head of Design, Director of Product Design, or a similar leadership role within the Product or Design department. They will collaborate closely with Product Managers and Engineering leads.

Operations Impact: The Senior Product Designer's impact is direct and significant. By creating intuitive and effective interfaces for the Mystra SaaS platform, they enable statistical geneticists and bioinformaticians to perform their complex work more efficiently and effectively. This, in turn, accelerates drug discovery and improves the accuracy of predictive healthcare, directly contributing to the company's core mission. Designing for AI-integrated features also positions the company at the forefront of technological innovation in its field.

Growth Opportunities:

• Leadership in Design: Potential to grow into a Lead Product Designer or Design Manager role, overseeing design strategy and teams.

• Specialization: Deepen expertise in designing for AI/LLM interfaces, complex scientific data visualization, or specific areas within drug discovery tech.

• Cross-Functional Leadership: Take on more product strategy responsibilities, bridging design, product, and engineering.

• Industry Expertise: Become a recognized expert in UX for scientific and AI-driven platforms.

• Continuous Learning: Leverage company-provided L&D resources for skill enhancement and career development.

📝 Enhancement Note: The "Senior" title, combined with the responsibility for AI interfaces and direct front-end contributions, suggests this is not just a typical UI/UX role. It's a strategic position that requires a designer to be a thought leader, capable of navigating complex technical challenges and contributing to the company's innovative edge in genomics and AI.

🌐 Work Environment

Office Type: The role is described as Hybrid, with options in Oxford or London. This indicates a blend of remote work and in-office collaboration. The company emphasizes a "Vibrant Social Culture" with regular events, suggesting that in-office days are intended for collaboration, team building, and fostering a sense of community.

Office Location(s): Oxford and London, United Kingdom. These are major hubs for scientific research, technology, and innovation, offering excellent connectivity and a dynamic professional environment.

Workspace Context:

• Collaborative Environment: The hybrid model and emphasis on social events suggest a workplace that values both focused individual work and collaborative team interaction.

• Tools & Technology: While specific tools are listed in their own section, the environment likely supports modern design and development workflows, including AI-assisted coding tools, indicating a technologically advanced workspace.

• Team Interaction: Opportunities for regular interaction with product, engineering, and potentially scientific teams, facilitating strong communication and alignment.

Work Schedule: The role is full-time, implying a standard 40-hour work week. The hybrid nature allows for flexibility in structuring the work week, balancing remote productivity with in-office collaboration and team engagement.

📝 Enhancement Note: The hybrid nature of the role, combined with the company's emphasis on social culture and the specific locations (Oxford/London), points to a modern tech company environment. The focus is likely on delivering results while maintaining a strong team connection and offering flexibility.

📄 Application & Portfolio Review Process

Interview Process: A typical interview process for a Senior Product Designer at a company like Genomics would likely involve several stages:

• Initial Screening: A brief call with a recruiter to assess basic qualifications, experience, and cultural fit.

• Portfolio Review & Design Challenge: A more in-depth session where the candidate presents their portfolio, discussing specific projects and their design process. This may be followed by a take-home design challenge or an on-site/virtual whiteboard session to assess problem-solving skills.

• Team Interviews: Meetings with Product Managers, Engineering Leads, and potentially other designers or scientists to evaluate collaboration style, technical understanding, and domain-specific insights.

• Final Interview: A discussion with senior leadership (e.g., Head of Product, VP of Engineering) to assess strategic thinking, leadership potential, and final cultural alignment.

Portfolio Review Tips:

• Storytelling: Structure your portfolio presentations around compelling narratives. Clearly articulate the problem, your role, your process, the challenges faced, your solutions, and the impact achieved.

• Process Over Perfection: While polished visuals are important, emphasize your thought process, user research, iterative design, and problem-solving skills. Show how you arrived at your solutions.

• Quantify Impact: Wherever possible, use data and metrics to demonstrate the success of your designs. For this role, focus on efficiency gains, user adoption, or contributions to scientific/business goals.

• Tailor to Genomics: Highlight projects that demonstrate your ability to handle complexity, design for technical or scientific users, or work with data-intensive applications. If you have experience with AI/LLM interfaces or complex workflows, make those prominent.

• System Thinking: Showcase examples of your work on design systems, component libraries, or how you approach consistency and scalability.

Challenge Preparation:

• Understand the Domain: Research Genomics, TechBio, drug discovery, and AI in healthcare. Understand the core challenges these fields face.

• Embrace Complexity: Prepare for design challenges that involve complex data, intricate workflows, or ambiguous requirements. Focus on your structured approach to breaking down problems.

• AI/LLM Focus: If the challenge involves AI, think about user trust, interpretability, error handling, and prompt design.

• Technical Fluency: Be ready to discuss technical constraints, API considerations, and how your designs can be implemented efficiently.

• Communicate Your Rationale: Clearly articulate your design decisions and the reasoning behind them, especially in a whiteboard or presentation setting.

📝 Enhancement Note: The emphasis on AI/LLM interfaces and complex scientific workflows means that candidates should be prepared to demonstrate not just design skills, but also an aptitude for understanding and designing for highly technical and specialized user groups. The portfolio should clearly articulate the "why" behind design decisions and the impact they had.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The primary tool for UI design, prototyping, and potentially design system management. Proficiency in Figma is essential.

• Prototyping Tools: Beyond Figma's built-in capabilities, familiarity with other advanced prototyping tools may be beneficial.

• User Research Tools: Tools for conducting user interviews, surveys, and usability testing (e.g., UserTesting.com, Lookback, Maze).

Analytics & Reporting:

• Product Analytics: Tools like Amplitude, Mixpanel, or Google Analytics to understand user behavior within the platform and inform design decisions.

• Data Visualization Tools: Familiarity with tools or concepts related to visualizing complex scientific data could be a plus.

CRM & Automation:

• Internal Collaboration Tools: Tools like Slack, Jira, Confluence for team communication, project management, and documentation.

• AI-Assisted Coding Tools: Mentioned in the description, indicating potential use of tools that help with front-end code generation or optimization.

📝 Enhancement Note: The explicit mention of Figma and "AI-assisted coding tools" provides key insights into the expected technology stack. A Senior Product Designer here is expected to be proficient in industry-standard design tools and adaptable to emerging technologies that streamline the development process.

👥 Team Culture & Values

Operations Values:

• Scientific Rigor & Data-Driven Approach: A deep commitment to evidence, data analysis, and scientific accuracy in all aspects of work. This translates to making design decisions based on user data and scientific principles.

• Innovation & Cutting-Edge Technology: Embracing new technologies like AI and LLMs to push the boundaries of drug discovery and healthcare. Designers are expected to be curious and proactive in exploring these advancements.

• Impact & Purpose-Driven Work: A strong sense of mission to improve human health and longevity, providing a motivating and meaningful work environment.

• Collaboration & Cross-Functional Partnership: Working effectively with diverse teams (Product, Engineering, Science) to achieve shared goals.

• User Empathy: A genuine care for the scientists and clinicians who use their products, designing with their complex needs and workflows at the forefront.

Collaboration Style:

• Integrated Teams: Expect close collaboration between Design, Product, and Engineering, fostering a shared understanding and ownership of product development.

• Open Communication: A culture that encourages open discussion, feedback exchange, and constructive critique to refine designs and solutions.

• Knowledge Sharing: A willingness to share insights, best practices, and learnings across teams, particularly regarding user needs and technical solutions.

📝 Enhancement Note: The company's mission and the nature of its work (genomics, AI, drug discovery) foster a culture of intellectual curiosity, a drive for impactful results, and a strong emphasis on collaboration to tackle complex scientific and technical challenges. Designers are expected to be team players who can translate complex scientific needs into user-friendly solutions.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Scientific Complexity: The primary challenge is simplifying highly complex, specialized scientific workflows and data into intuitive, usable interfaces for expert users without oversimplifying critical details.

• Designing for AI Uncertainty: Developing effective and trustworthy user experiences for AI/LLM-powered features, managing user expectations, error states, and the iterative nature of AI outputs.

• Balancing User Needs with Technical Constraints: Ensuring designs are not only user-centric but also technically feasible and scalable within the existing platform architecture and development capabilities.

• Rapidly Evolving Field: Keeping pace with advancements in genomics, AI, and drug discovery technologies to ensure the platform remains cutting-edge.

Learning & Development Opportunities:

• Deep Dive into Genomics & AI: Opportunities to gain specialized knowledge in cutting-edge fields that are transforming healthcare and life sciences.

• Mastering AI Interface Design: Becoming an expert in designing for emerging AI functionalities and user interactions.

• System Design & Scalability: Developing skills in building robust, scalable design systems for complex enterprise software.

• Cross-Disciplinary Learning: Gaining exposure to scientific research, data analytics, and software engineering principles.

• Mentorship & Leadership: Potential for growth into leadership roles, mentoring junior designers, and influencing product strategy.

📝 Enhancement Note: The challenges presented are inherent to working at the forefront of science and technology. They offer significant growth opportunities for designers who are eager to learn and tackle complex, meaningful problems.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design for a highly technical or specialized user group. How did you ensure you understood their needs?" (Focus on research, empathy, and domain learning).

• "Walk me through a complex user flow you designed. What were the key decision points, and how did you validate your approach?" (Highlight IA, problem-solving, and validation).

• "How would you approach designing an interface for an AI feature that generates hypotheses for drug discovery? What are the key considerations for user trust and iteration?" (Demonstrate understanding of AI design principles, uncertainty, and scientific workflows).

Company & Culture Questions:

• "What excites you about Genomics' mission to use genomics and AI for longer, healthier lives?" (Connect your passion to the company's purpose).

• "How do you approach working in a hybrid environment and collaborating with remote and in-office teams?" (Highlight communication and adaptability).

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly outline: The Problem, Your Role & Responsibilities, The Process (Research, Ideation, Design, Testing), The Solution, and The Impact (metrics, learnings).

• Emphasize Process & Rationale: Don't just show final screens. Explain why you made certain design choices, what research informed them, and how you iterated.

• Highlight Technical & AI Experience: Make sure to clearly articulate any experience with complex data, APIs, system design, or AI/LLM interfaces. This is a key differentiator for this role.

• Be Prepared for Deep Dives: Expect questions about specific design decisions, your understanding of the scientific domain, and how you'd handle hypothetical scenarios.

• Showcase System Thinking: If you have examples of reusable components or design system contributions, present them to demonstrate your approach to scalability.

📝 Enhancement Note: Interview preparation should focus on demonstrating a blend of strong design fundamentals, technical literacy, an understanding of scientific domains, and a proactive approach to complex problem-solving, particularly concerning AI interfaces.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on Ashby.

• Curate Your Portfolio: Select 2-3 of your most relevant projects that showcase your ability to handle complex workflows, design for technical users, and ideally, any experience with AI/LLM interfaces or data-intensive applications. Ensure each case study clearly articulates the problem, your process, your solution, and the impact.

• Optimize Your Resume: Tailor your resume to highlight keywords and experiences mentioned in the job description, such as "Product Design," "UX Architecture," "AI Interface Design," "Figma," "System Design," and any relevant scientific or technical domain experience. Quantify achievements where possible.

• Prepare Your Presentation: Practice walking through your portfolio projects. Be ready to discuss your design decisions, your problem-solving approach, and your understanding of the scientific and AI aspects of Genomics' work.

• Research Genomics: Familiarize yourself with the company's mission, their Mystra platform (if public information is available), and the broader field of genomics and AI in drug discovery. Understand their commitment to helping people live longer, healthier lives.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.