Senior UX Designer, Scientific AI

📍 Job Overview

Job Title: Senior UX Designer, Scientific AI Company: TetraScience Location: Boston, Massachusetts, United States Job Type: Full-time Category: User Experience (UX) Design within Scientific AI/Data Platforms Date Posted: November 06, 2025 Experience Level: 6+ years (with 1+ years in AI/ML platforms) Remote Status: Hybrid (2-3 days onsite per week)

🚀 Role Summary

• Lead end-to-end UX design for innovative AI-driven features within scientific data platforms, focusing on intuitive integration of scientific data and AI model outputs.
• Drive the strategic vision for user experience, collaborating closely with product management and scientific stakeholders to define and execute UX roadmaps.
• Conduct direct user research with pharmaceutical clients to uncover pain points in laboratory workflows and rapidly prototype impactful solutions.
• Translate complex algorithmic decision-making processes and AI model behaviors into user-friendly interactions and visualizations.
• Champion user-centric design principles throughout the AI product development lifecycle, ensuring technical feasibility and scientific user needs are met.

📝 Enhancement Note: While the core role is UX Design, the emphasis on Scientific AI and data platforms positions this as a highly specialized UX role. It requires a deep understanding of scientific workflows and the ability to bridge the gap between complex AI/ML outputs and the needs of scientific end-users. This is not a typical consumer-facing UX role; it's deeply embedded in enterprise B2B SaaS for the life sciences sector.

📈 Primary Responsibilities

• Design AI-Powered Scientific Workflows: Take ownership of the UX design process from conception to delivery for AI-driven features, including wireframing, prototyping, and high-fidelity interface design.
• Integrate Scientific Data & AI Outputs: Seamlessly combine diverse scientific data inputs (e.g., assays, instrument data, ELN/LIMS) with sophisticated AI model outputs to create cohesive user experiences.
• User-Centric AI Interaction Design: Translate complex algorithmic decision-making processes into intuitive user interactions, ensuring clarity and ease of use for scientific professionals.
• Strategic UX Roadmap Development: Partner with Product Managers and scientific stakeholders to define and prioritize UX initiatives that align with TetraScience's platform adoption and AI strategy goals.
• Conduct Lightweight User Research: Engage directly with pharmaceutical clients to conduct user interviews, identify critical pain points in their lab workflows, and gather actionable feedback.
• Rapid Prototyping and Iteration: Develop interactive prototypes to quickly test design concepts and iterate based on stakeholder and user feedback, prioritizing high-impact improvements.
• Cross-Functional Collaboration: Work closely with platform engineers, data scientists, and product managers to ensure design solutions are technically feasible and meet scientific user requirements.
• Advocate for User Needs: Champion user-centric design principles within the product development team, ensuring a balance between technical innovation and practical scientific application.
• Design for Regulated Environments: Apply UX design best practices within the context of regulated life sciences environments, considering compliance and data integrity.

📝 Enhancement Note: The responsibilities highlight a blend of hands-on design execution and strategic influence. The emphasis on "AI-Powered Scientific Workflows" and "integrating scientific data inputs with AI model outputs" suggests a need for UX designers who can conceptualize how users interact with machine learning models and complex scientific data sets. The "60-80% hands-on" indicates a strong preference for designers who are comfortable with deep design work rather than purely managerial or strategic roles.

🎓 Skills & Qualifications

Education: While specific degree requirements are not listed, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), UX Design, Computer Science, Graphic Design, or a related field is typically expected for senior UX roles. A strong portfolio can often substitute for formal education.

Experience:

• 6+ years of professional UX design experience.
• Minimum of 1+ year of experience specifically leading UX design for AI/ML-powered enterprise platforms.
• Experience within the life sciences, healthcare, or other regulated industries is highly preferred.

Required Skills:

• End-to-End UX Design: Proven ability to manage the entire UX design lifecycle, from user research and concept development to wireframing, prototyping, and final interface design.
• AI Interface Design: Demonstrated experience designing user interfaces that expose AI/ML model inputs, outputs, uncertainty metrics, and feedback mechanisms.
• Complex Data Visualization: Expertise in designing effective visualizations for complex scientific data, enabling users to interpret results and comparisons intuitively.
• Workflow Optimization: Skill in analyzing and redesigning scientific laboratory workflows to improve efficiency, reduce errors, and enhance user productivity through intuitive design.
• User Research & Validation: Proficient in conducting user interviews, usability testing, and other research methods to gather insights and validate design decisions, particularly with scientific end-users.
• Rapid Prototyping: Mastery of tools like Figma, Miro, or similar for creating interactive prototypes to quickly test concepts and gather feedback.
• Cross-Functional Collaboration: Ability to effectively partner with product managers, engineers, data scientists, and scientific stakeholders to achieve shared goals.
• Strong Communication: Excellent verbal and written communication skills to articulate design rationale, present concepts persuasively, and collaborate effectively across diverse teams and with clients.
• Life Sciences / Healthcare Domain Knowledge: Familiarity with scientific workflows (e.g., assay development, computational biology) and an understanding of regulated environments (e.g., GxP) is crucial.

Preferred Skills:

• Product Strategy Influence: Experience in translating scientific workflows into effective AI interaction patterns and influencing product roadmaps.
• Scientific Workflow Translation: Ability to design interfaces that facilitate multi-model comparisons and iterative retraining processes for AI models.
• Regulated Environment Experience: Deeper understanding of compliance, data integrity, and validation requirements in GxP or similar regulated settings.
• Agile/Scrum Methodologies: Experience working within agile development environments.

📝 Enhancement Note: The requirement for 1+ year in AI/ML platforms and the portfolio demonstration of "scientific interfaces including complex data visualization, AI interface design, and workflow optimization" strongly indicates that candidates must have tangible experience with B2B enterprise software, specifically in scientific or regulated domains. Generic UX skills will not be sufficient; deep domain understanding and AI interaction design experience are paramount.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Ownership: Showcase projects that demonstrate full UX ownership from initial research and problem definition through to final design and iteration.
• Scientific Interfaces: Include detailed case studies of scientific interfaces designed for complex data analysis, instrument integration, or laboratory information management systems (LIMS).
• AI/ML Interaction Design: Feature examples of interfaces designed to work with AI or machine learning models, illustrating how users interact with predictions, uncertainty, and feedback mechanisms.
• Workflow Optimization Projects: Present case studies where UX design directly led to the optimization or redesign of scientific laboratory workflows, highlighting efficiency gains or usability improvements.
• Data Visualization Examples: Demonstrate proficiency in designing clear and effective data visualizations for scientific datasets, showing how users derive insights.
• Tool Proficiency: Briefly mention or showcase the tools used (e.g., Figma, Miro) within the project context.

Process Documentation:

• User-Centric Design Process: Clearly articulate your design process, emphasizing user research methodologies, iterative design, and how user feedback informed design decisions.
• Collaboration Protocols: Describe how you collaborate with cross-functional teams (product, engineering, science) during the design process, including how feedback is solicited and integrated.
• Problem-Solving Frameworks: Illustrate how you approach complex design challenges, particularly those involving scientific data and AI model outputs, and the frameworks you use to break them down.
• Impact Measurement: Where possible, include metrics or qualitative evidence demonstrating the impact of your designs on user efficiency, adoption, or satisfaction within scientific contexts.

📝 Enhancement Note: For a Senior UX Designer role focused on Scientific AI, the portfolio is critical. It must go beyond visual design and demonstrate a deep understanding of user problems within scientific domains and how UX can solve them, especially when AI is involved. The ability to articulate the process behind the design, particularly regarding research and iteration with scientific users, will be as important as the final output.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior UX Designers in the Boston, MA area, with specialized experience in AI and life sciences, a competitive salary range would typically be between $130,000 - $180,000 USD per year. This estimate considers the high demand for specialized UX talent, the cost of living in Boston, and the senior level of the role.

Benefits:

• 100% Employer-Paid Benefits: Comprehensive health insurance coverage (medical, dental, vision) for eligible employees and their immediate family members, with the employer covering the full premium cost.
• Unlimited Paid Time Off (PTO): A flexible approach to time off, allowing employees to take as much paid leave as they need, provided work responsibilities are managed and approved.
• 401(k) Retirement Plan: Access to a retirement savings plan with potential employer matching contributions.
• Company Paid Life Insurance: Coverage to provide financial security for beneficiaries in the event of an employee's passing.
• Company Paid Long-Term Disability (LTD) and Short-Term Disability (STD): Income protection benefits that provide financial support if an employee is unable to work due to illness or injury.

Working Hours: A standard full-time workweek is typically 40 hours. Given the hybrid model and the nature of enterprise software development, core working hours will likely align with the Eastern Time Zone (ET), with flexibility expected around project deadlines and team collaboration needs.

📝 Enhancement Note: The salary estimate is based on data from reputable compensation platforms (e.g., Glassdoor, LinkedIn Salary, Levels.fyi) for Senior UX Designers in Boston, MA, adjusted upwards due to the specialized nature of AI/ML and life sciences domain expertise, which commands a premium. The benefits listed are directly from the job description and are highly attractive, particularly the 100% employer-paid premiums for family members.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / Artificial Intelligence / Data Science / Life Sciences Technology. TetraScience operates at the intersection of these critical and rapidly growing sectors, aiming to revolutionize scientific discovery through AI. Company Size: Specific size not provided, but the mention of co-innovation partnerships with dominant infrastructure players suggests a rapidly scaling, well-funded startup or growth-stage company. This implies a dynamic, fast-paced environment. Founded: Founding date not provided, but the company's positioning as a "category leader" and its partnerships suggest it has moved beyond the early startup phase into a period of significant growth and market establishment.

Team Structure:

• Cross-Functional Teams: The role requires close collaboration with Product Managers, Engineers (platform and AI/ML specialists), and Scientific Domain Experts, forming agile, project-based teams.
• Reporting Structure: The Senior UX Designer will likely report to a Head of Design, Director of Product Design, or potentially a VP of Product, depending on the company's current organizational structure.
• User-Centric Advocacy: The culture likely emphasizes data-driven decision-making and user advocacy, with designers expected to champion the user's voice in product development.

Methodology:

• Agile Development: It's highly probable that the company employs agile methodologies, requiring designers to work in sprints, participate in stand-ups, and adapt to evolving requirements.
• Data-Driven Design: The focus on AI and scientific data implies a strong emphasis on metrics, A/B testing, and data analysis to inform design decisions and measure impact.
• Iterative Design & Feedback Loops: The emphasis on "rapid prototyping" and "iterating based on stakeholder feedback" points to a culture that values continuous improvement and responsiveness.

Company Website: https://tetrascience.com

📝 Enhancement Note: The description of TetraScience as the "Scientific Data and AI company" and its partnerships with major tech players indicates a company with significant ambition and a strong market position. The mention of the "Tetra Way Letter" authored by the CEO emphasizes a particular company ethos and set of values that candidates are expected to align with, suggesting a culture that is intentional and deeply ingrained.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as Senior UX Designer. This level typically signifies a highly experienced individual contributor who is expected to lead complex projects independently, mentor junior designers, and significantly influence product strategy and design direction. They are expected to be subject matter experts in their domain.

Reporting Structure: The Senior UX Designer will likely report into a design leadership role (e.g., Head of Design, Design Manager) and will work in close collaboration with Product Managers and Engineering Leads within specific product teams. This structure facilitates both focused design execution and strategic alignment.

Operations Impact: The impact of this role is directly tied to the successful adoption and usability of TetraScience's AI-powered scientific data platform. By ensuring complex AI capabilities are accessible and intuitive for scientific users, the UX Designer directly contributes to:

• Accelerating Scientific Discovery: Enabling researchers to leverage AI more effectively to analyze data and derive insights faster.
• Increasing Platform Adoption: Making the platform indispensable for pharmaceutical clients by solving critical workflow pain points.
• Driving Revenue Growth: Contributing to product differentiation and customer satisfaction, which are key drivers for enterprise SaaS sales and retention.
• Enhancing Competitive Advantage: Ensuring TetraScience remains the "de facto standard" by providing a superior user experience for its cutting-edge AI solutions.

Growth Opportunities:

• Leadership in Scientific UX: Opportunity to become a recognized leader and expert in the niche field of UX for Scientific AI and enterprise life sciences platforms.
• Mentorship and Team Building: Potential to mentor junior designers, shape design processes, and contribute to building out the UX team as the company scales.
• Strategic Product Influence: Deep involvement in defining the future direction of AI-powered scientific data products, impacting company strategy.
• Skill Specialization: Further development of expertise in complex data visualization, AI/ML interaction design, and domain-specific UX challenges within life sciences.
• Potential for Management: As the design team grows, there could be opportunities to move into a Design Manager or Lead role.

📝 Enhancement Note: The "Senior" title implies a need for strong leadership qualities, even in an individual contributor role. The ability to mentor, influence without direct authority, and take ownership of critical product areas will be key for growth. The emphasis on Scientific AI means that career progression is likely tied to becoming a deep specialist in this domain rather than a generalist UX leader.

🌐 Work Environment

Office Type: The role follows a hybrid work model, requiring employees to be onsite at the company's Boston office 2-3 days per week. This suggests a modern office environment designed to facilitate collaboration, brainstorming, and team cohesion on designated in-office days.

Office Location(s): The primary office location is Boston, Massachusetts. Specific details about the office amenities or exact location within Boston are not provided but can be inferred to be in a professional business district accessible to talent.

Workspace Context:

• Collaborative Spaces: The hybrid model implies the office will feature meeting rooms, whiteboarding areas, and open spaces conducive to team discussions and co-creation.
• Access to Tools & Technology: Employees will have access to necessary hardware, software, and potentially specialized tools required for design and collaboration on-site.
• Team Interaction: In-office days are crucial for building relationships with product managers, engineers, and fellow designers, fostering a strong team dynamic and enabling spontaneous problem-solving.

Work Schedule: While specific working hours are not detailed, a standard 40-hour workweek is implied for full-time employees. The hybrid nature suggests flexibility, with core hours likely dictated by team needs and project deadlines, particularly for cross-functional collaboration with teams in different time zones or those on different in-office schedules.

📝 Enhancement Note: The hybrid requirement is a key differentiator. Candidates should be comfortable with a structured approach to in-office days, likely focused on collaboration, and understand that remote days will be for focused, individual design work. The expectation of being in the office 2-3 days a week means candidates must reside within a reasonable commuting distance of Boston.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A recruiter or hiring manager will likely conduct a brief call to assess overall fit, experience, and interest in the role and TetraScience.
2. Portfolio Review & Deep Dive: Candidates will be asked to present their portfolio, focusing on 2-3 key projects that best demonstrate their experience with scientific interfaces, AI/ML design, and workflow optimization. This stage will involve deep discussions about the user problems, design process, challenges, and outcomes.
3. Hiring Manager / Design Lead Interview: An interview with the direct manager or design lead to evaluate design thinking, leadership potential, and alignment with team culture.
4. Cross-Functional Interviews: Interviews with Product Managers and Engineering Leads to assess collaboration skills, technical understanding, and ability to work effectively in cross-functional teams.
5. Potential Design Challenge/Exercise: Candidates may be given a take-home assignment or a live design exercise to assess their problem-solving skills and design approach in a simulated scenario relevant to TetraScience's products.
6. Final Round / Executive Interview: Potentially a final interview with a higher-level executive to assess strategic thinking and cultural fit, especially regarding the "Tetra Way Letter."

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that directly align with the job description's emphasis on Scientific AI, complex data visualization, and workflow optimization. Prioritize projects that showcase your end-to-end process.
• Tell a Story: For each project, clearly articulate the problem, your role, the design process (research, ideation, prototyping, testing), the challenges faced, your solutions, and the impact/outcomes. Use visuals effectively.
• Highlight AI/ML Experience: Specifically showcase any work involving AI/ML interfaces, data interpretation from models, or user interaction with predictive/analytical systems. Explain how you translated technical concepts into user-friendly designs.
• Demonstrate Domain Understanding: If possible, show how your designs account for the nuances of scientific workflows, data types, and regulated environments.
• Quantify Impact: Whenever possible, present metrics or qualitative feedback that demonstrate the success of your designs (e.g., improved efficiency, reduced error rates, increased user satisfaction).
• Be Prepared for Questions: Anticipate questions about your design decisions, trade-offs made, how you handled conflicting feedback, and your understanding of the scientific domain.

Challenge Preparation:

• Understand the Domain: Research TetraScience's products, the scientific data landscape, and common challenges in AI adoption within life sciences.
• Focus on Process: If given a challenge, emphasize your structured approach to understanding the problem, user needs, and constraints before diving into solutions.
• Showcase AI Interaction: Demonstrate how you would design for AI outputs, including uncertainty, explainability, and user feedback loops.
• Data Visualization: Be ready to discuss how you would visualize complex scientific data for clarity and insight.
• Communication: Practice articulating your thought process clearly and concisely, as if presenting to stakeholders with mixed technical and scientific backgrounds.

📝 Enhancement Note: The emphasis on the "Tetra Way Letter" suggests that cultural fit and alignment with the company's core values will be heavily scrutinized throughout the interview process. Candidates should be prepared to discuss their understanding of these values and how they would embody them in their daily work. The portfolio review is likely to be a significant part of the process, so thorough preparation is essential.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for wireframing, prototyping, and high-fidelity interface design, indicating a modern, collaborative design workflow.
• Miro: Crucial for collaborative whiteboarding, brainstorming, user journey mapping, and early-stage ideation, especially in a hybrid work environment.
• Prototyping Tools: Proficiency in Figma or similar tools for creating interactive prototypes is explicitly required.

Analytics & Reporting:

• While not explicitly listed, a Senior UX Designer in an AI/Data company would ideally be familiar with:
  • Product Analytics Tools: (e.g., Amplitude, Mixpanel, Pendo) for understanding user behavior on the platform.
  • Data Visualization Libraries/Tools: (e.g., D3.js, Tableau, Power BI) for understanding how scientific data is presented, or potentially for designing dashboards.

CRM & Automation:

• While not directly part of the UX Designer's core toolset, an understanding of how CRM systems (like Salesforce) and automation platforms (like Zapier, Workato) impact enterprise workflows can be beneficial for context. The primary focus will be on the design tools and the scientific platform itself.

📝 Enhancement Note: The explicit mention of Figma and Miro highlights the company's reliance on modern, collaborative design tools. Candidates should be prepared to showcase their proficiency and workflow using these specific applications. Familiarity with data analytics platforms is beneficial for understanding user behavior and impact measurement, aligning with a data-driven approach.

👥 Team Culture & Values

Operations Values:

• Scientific Integrity & Rigor: A deep respect for scientific processes, data accuracy, and the pursuit of knowledge, which should translate into the design of reliable and trustworthy scientific tools.
• Innovation & AI Advancement: A commitment to pushing the boundaries of what's possible with AI in science, fostering a culture of experimentation and forward-thinking.
• Collaboration & Partnership: Emphasis on working effectively with internal teams (product, engineering, science) and external partners to achieve shared goals.
• Customer Centricity: A strong focus on understanding and solving the real-world problems of pharmaceutical clients and scientific users.
• Continuous Improvement: A drive to constantly learn, adapt, and refine processes, products, and individual skills.

Collaboration Style:

• Cross-Functional Integration: Designers are expected to be integral members of product teams, working hand-in-hand with product managers and engineers.
• Open Communication: A culture where ideas are shared freely, feedback is constructive, and design rationale is clearly articulated and debated respectfully.
• Agile and Iterative: Collaboration likely occurs within agile sprints, with regular check-ins and a focus on rapid iteration based on feedback.
• User-Focused Dialogue: Discussions will revolve around user needs, scientific workflows, AI capabilities, and how design can best bridge these elements.

📝 Enhancement Note: The "Tetra Way Letter" is central to understanding TetraScience's values. While its specific contents aren't provided, the emphasis on it suggests a company culture that is highly intentional, potentially demanding, and deeply aligned with its CEO's vision. Candidates should be prepared to discuss how their personal values and work ethic align with what they glean from this document.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complex Scientific Data: Designing intuitive interfaces for highly complex and diverse scientific datasets requires deep domain understanding and sophisticated visualization techniques.
• Bridging AI and Scientific User Needs: Translating abstract AI/ML concepts, outputs, and uncertainty into actionable insights for scientists who may not be AI experts.
• Balancing Innovation with Usability: Ensuring cutting-edge AI features are not only powerful but also accessible and practical for daily use in research environments.
• Working in Regulated Environments: Designing solutions that adhere to strict compliance and data integrity standards (e.g., GxP) without hindering user experience.
• Rapidly Evolving AI Landscape: Staying abreast of advancements in AI/ML and integrating them effectively into the product roadmap.

Learning & Development Opportunities:

• Deep Specialization: Becoming a leading expert in UX for Scientific AI, a highly in-demand and niche specialization.
• Industry Immersion: Gaining in-depth knowledge of pharmaceutical R&D processes, laboratory workflows, and the impact of AI on scientific discovery.
• Mentorship & Leadership: Opportunities to mentor junior designers, shape UX best practices, and potentially lead design initiatives.
• Exposure to Cutting-Edge AI: Working directly with advanced AI/ML models and contributing to their user-facing application.
• Strategic Impact: Directly influencing the direction of a category-leading product in a rapidly growing market.

📝 Enhancement Note: The challenges highlight the specialized nature of this role. Success will depend on a candidate's ability to immerse themselves in the scientific domain and translate complex AI concepts into practical user experiences, rather than relying on general UX knowledge. The growth opportunities are significant for those who thrive in this specialized, high-impact environment.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex scientific workflow you've designed for. What were the key challenges, and how did your UX solution address them?" (Focus on process, problem-solving, and domain understanding.)
• "How do you approach designing interfaces for AI/ML models? What specific elements do you consider to expose model outputs and uncertainty to users?" (Assess AI/ML UX thinking.)
• "Imagine a scenario where scientific users are hesitant to trust AI-generated insights. How would your UX design encourage adoption and build confidence?" (Tests understanding of user adoption, trust, and AI explainability.)
• "Walk us through a project where you had to balance conflicting requirements from product, engineering, and scientific stakeholders. How did you reach a consensus?" (Evaluates collaboration and negotiation skills.)

Company & Culture Questions:

• "What interests you about TetraScience and our mission to catalyze the Scientific AI revolution?" (Gauge genuine interest and alignment with company vision.)
• "How do you interpret the 'Tetra Way Letter' and how would you embody those principles in your daily work as a Senior UX Designer?" (Crucial for assessing cultural fit and understanding the company's ethos.)
• "Describe your ideal collaboration style with product managers and engineers. How do you ensure alignment on design decisions?" (Assesses teamwork and communication.)
• "How do you measure the success of your UX designs, particularly in an enterprise B2B context?" (Focus on impact, metrics, and ROI.)

Portfolio Presentation Strategy:

• Structure is Key: For each case study, clearly outline: Problem -> Your Role -> Process (Research, Ideation, Design, Testing) -> Solution -> Impact/Outcome.
• Focus on the "Why": Be prepared to explain the rationale behind every design decision, linking it back to user needs and business goals.
• Highlight AI/ML and Data Viz: Dedicate specific attention to how you handled AI outputs and complex scientific data visualization. Use these as anchors for your expertise.
• Showcase Collaboration: Mention how you worked with cross-functional teams and incorporated feedback.
• Be Concise and Engaging: Practice your presentation to stay within time limits and keep the audience engaged. Prepare for deep-dive questions on any aspect of your presented work.

📝 Enhancement Note: The interview process will likely be rigorous, with a strong emphasis on both technical UX skills and strategic thinking, particularly concerning AI and the scientific domain. Candidates should thoroughly research TetraScience and prepare to discuss how their experience aligns with the company's unique mission and culture, as highlighted by the "Tetra Way Letter."

📌 Application Steps

To apply for this Senior UX Designer position:

• Submit Your Application: Utilize the provided link on Workable to submit your resume and any required supplemental materials.
• Tailor Your Resume: Highlight your experience with enterprise UX, AI/ML interfaces, complex data visualization, and work within life sciences or regulated environments. Use keywords from the job description (e.g., "Scientific Workflows," "AI Interface Design," "Workflow Optimization," "Figma").
• Curate Your Portfolio: Select 2-3 of your strongest projects that directly address the core requirements: end-to-end UX ownership, scientific interfaces, AI/ML interaction design, and workflow optimization. Ensure your portfolio clearly articulates your process, challenges, solutions, and impact.
• Prepare Your Presentation: Practice presenting your portfolio case studies, focusing on clear storytelling, explaining your design rationale, and showcasing your expertise in the relevant technical and domain areas. Be ready to discuss the "Tetra Way Letter" and how your values align.
• Research TetraScience: Understand their mission, products, and the market they serve. Familiarize yourself with their emphasis on "Scientific Data and AI" and "Scientific AI revolution."

⚠️ 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.