Prepare for and practice interview questions from Tetrascience.

Tetrascience Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.

The company has been consistently growing new users in the city from January to March.

What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

<h3>Job Description</h3><div>Job Description<div>Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You AreYou are a product-minded, outcome-obsessed driver of technical scientific solutions. You a high velocity self-starter. You refuse to let uncertainty obstruct your path to designing and building solutions.You roll up your sleeves, try things out, and get things done. You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users.You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data.With rich experience applying cutting edge data methodologies to the biopharma R&D domain, you bridge understanding between present-day pain points and generalizable solutions.You are an insatiable learner, with a track record of deeply learning new tools, methods, and domains.You fundamentally embody the principles of extreme ownership and have a demonstrated history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML.This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry.What You Have Done<ul><li>PhD with 7+ years / Masters with 10+ years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing.</li><li>Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments</li><li>Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders.</li><li>Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.</li><li>Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities.</li><li>Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.</li></ul>RequirementsWhat You Will Do<ul><li>You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite a couple of days per week in the St Louis area, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions.</li><li>Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability.</li><li>Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform.</li><li>Own, scope, prototype, and implement solutions including:</li><ul><li>Data model design (tabular & JSON)</li><li>Python-based parser development.</li><li>Lab software (e.g., ELN/LIMS) integration via APIs.</li><li>Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly) </li><li>Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid)</li><li>Programmatically interrogating proprietary instrument output files.</li></ul><li>Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings</li><li>Proactively communicate implementation progress and deliver demos to customer stakeholders.</li><li>Collaborate with the product team to build and prioritize our roadmap by understanding customers’ pain points within and outside Tetra Data Platform.</li><li>Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases</li><li>Must be able to travel to client sites in St.Louis, Indianapolis, Chicago regions. </li></ul>Benefits<ul><li>Competitive Salary and equity in a fast-growing company.</li><li>Supportive, team-oriented culture of continuous improvement.</li><li>Generous paid time off (PTO).</li><li>Flexible working arrangements - Remote work when not at Customer Sites </li></ul>We are not currently providing visa sponsorship for this position.</div></div>

<h3>Job Description</h3><div>Job Description<div>Who We AreTetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You Are You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes.With deep domain knowledge in drug discovery/preclinical development, CMC, or Quality, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data.You will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences. You will need to be a high clock-speed, forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside Life Sciences. You embody extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications.You should also be energized by regularly working onsite with customers. You thrive in dynamic, high-impact, face-to-face collaborative environments where you can build deep relationships and drive scientific transformation firsthand.RequirementsWhat You Have Done<ul><li>PhD with 15+ years of industry experience in life sciences, preferably across pharma, biotech, or health tech, with deep domain expertise in discovery, preclinical, CMC, and/or Quality.</li><li>Extensive hands-on experience or direct oversight in one or more of the following areas: high throughput screening, preclinical toxicology, materials engineering, analytical development, drug substance (DS) synthesis and manufacturing.</li><li>Delivered requirements for AI/ML-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization.</li><li>Extensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plus.</li><li>Strong coding or scripting background (e.g., Python, Nextflow, AWS, SDKs) and familiarity with scientific tools, databases, and ontologies is preferred.</li><li>Exceptional communication and storytelling ability to engage technical and executive stakeholders.</li><li>Prior experience in customer-facing, consulting, or commercial-scientific interface roles.</li></ul>What You Will Do <ul><li>You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston Region</li><li>Customer Data Exploration: Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunities.</li><li>Scientific Use Case Development: Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases.</li><li>Stakeholder Engagement: Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes.</li><li>Data Analysis and Enrichment: Perform exploratory data analysis and define transformation workflows that enable scientific AI.</li><li>Workflow Documentation: Develop visual documentation including workflow diagrams, ERDs, and ontology definitions.</li><li>AI Model Evaluation: Provide practical scientific input on model output, with suggestions to improve real-world performance.</li><li>Customer Enablement: Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption.</li><li>Strategic Insight: Propose new directions, experiments, or platforms that can amplify scientific discovery and development.</li></ul>Benefits<ul><li>100% employer-paid benefits for all eligible employees and immediate family members</li><li>Unlimited paid time off (PTO)</li><li>401K</li><li>Remote working opportunities, when not at customer sites </li><li>Company paid Life Insurance, LTD/STD</li><li>A culture of continuous improvement where you can grow your career and get coaching</li></ul></div></div>

<h3>Job Description</h3><div>Job Description<div>Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You AreYou are a product-minded, outcome-obsessed driver of technical scientific solutions. You a high velocity self-starter. You refuse to let uncertainty obstruct your path to designing and building solutions.You roll up your sleeves, try things out, and get things done. You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users.You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data.With rich experience applying cutting edge data methodologies to the biopharma R&D domain, you bridge understanding between present-day pain points and generalizable solutions.You are an insatiable learner, with a track record of deeply learning new tools, methods, and domains.You fundamentally embody the principles of extreme ownership and have a demonstrated history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML.This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry.What You Have Done<ul><li>PhD with 7+ years / Masters with 10+ years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing.</li><li>Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments</li><li>Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders.</li><li>Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.</li><li>Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities.</li><li>Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.</li></ul>RequirementsWhat You Will Do<ul><li>You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston Region, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions.</li><li>Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability.</li><li>Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform.</li><li>Own, scope, prototype, and implement solutions including:</li><ul><li>Data model design (tabular & JSON)</li><li>Python-based parser development.</li><li>Lab software (e.g., ELN/LIMS) integration via APIs.</li><li>Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly) </li><li>Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid)</li><li>Programmatically interrogating proprietary instrument output files.</li></ul><li>Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings</li><li>Proactively communicate implementation progress and deliver demos to customer stakeholders.</li><li>Collaborate with the product team to build and prioritize our roadmap by understanding customers’ pain points within and outside Tetra Data Platform.</li><li>Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases</li></ul>Benefits<ul><li>100% employer-paid benefits for all eligible employees and immediate family members</li></ul><ul><li>Unlimited paid time off (PTO)</li><li>401K</li><li>Company paid Life Insurance, LTD/STD</li><li>Remote Work, when not visiting customers onsite </li></ul>We are not currently providing visa sponsorship for this position.</div></div>

<h3>Job Description</h3><div>Job Description<div>Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You AreYou are a product-minded, outcome-obsessed driver of technical scientific solutions. You a high velocity self-starter. You refuse to let uncertainty obstruct your path to designing and building solutions.You roll up your sleeves, try things out, and get things done. You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users.You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data.With rich experience applying cutting edge data methodologies to the biopharma R&D domain, you bridge understanding between present-day pain points and generalizable solutions.You are an insatiable learner, with a track record of deeply learning new tools, methods, and domains.You fundamentally embody the principles of extreme ownership and have a demonstrated history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML.This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry.What You Have Done<ul><li>PhD with 7+ years / Masters with 10+ years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing.</li><li>Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments</li><li>Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders.</li><li>Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.</li><li>Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities.</li><li>Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.</li></ul>RequirementsWhat You Will Do<ul><li>You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite a few times a week in the New York Region, building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions.</li><li>Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability.</li><li>Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform.</li><li>Own, scope, prototype, and implement solutions including:</li><ul><li>Data model design (tabular & JSON)</li><li>Python-based parser development.</li><li>Lab software (e.g., ELN/LIMS) integration via APIs.</li><li>Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly) </li><li>Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid)</li><li>Programmatically interrogating proprietary instrument output files.</li></ul><li>Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings</li><li>Proactively communicate implementation progress and deliver demos to customer stakeholders.</li><li>Collaborate with the product team to build and prioritize our roadmap by understanding customers’ pain points within and outside Tetra Data Platform.</li><li>Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases</li></ul>Benefits<ul><li>100% employer-paid benefits for all eligible employees and immediate family members</li></ul><ul><li>Unlimited paid time off (PTO)</li><li>401K</li><li>Company paid Life Insurance, LTD/STD</li><li>Remote Work, when not visiting customers onsite </li></ul>We are not currently providing visa sponsorship for this position.</div></div>

<h3>Job Description</h3><div>Job Description<div>Who We AreTetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience NewsroomWe are committed to accelerating discovery and development by engineering liquid, contextualized, FAIR data, and enabling AI-native scientific outcomes. Our Scientific Business Analysts (Sciborgs) are a bridge between scientists and data engineers, translating complex R&D requirements into actionable data and AI solutions that transform how science is done.As part of our high-profile partnership with a top pharma company, we are building a team of chemistry-focused Sciborgs who will bring domain expertise in medicinal chemistry, synthetic chemistry, and DMPK/metabolite ID to the forefront of scientific data transformationIn connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. Who You Are We are seeking a Scientific Business Analyst – Cheminformatics with a strong foundation in synthetic or medicinal chemistry and experience working with data platforms, cheminformatics tools, and workflow automation. This role is ideal for someone who has: <ul><li>Been at the bench or in a med chem team, has curated or managed chemical/assay data, and is excited to translate scientific requirements into technical specifications for data architects, engineers, and AI teams.</li><li>You will work directly with our partner’s scientists and TetraScience’s engineering teams to harmonize, contextualize, and enable advanced analytics on critical chemistry and DMPK datasets.</li></ul>What You'll Do <ul><li>Serve as the bridge between medicinal chemists/DMPK scientists and technical teams, gathering requirements and translating them into clear specifications for data engineers and AI solution developers. </li><li>Partner with our partner’s med chem teams on DMTA (design-make-test-analyze) cycles, ensuring scientific data flows seamlessly between compound design, assay results, and decision-making workflows.</li><li>Map and harmonize scientific data across key platforms: LiveDesign (Schrödinger) for compound design and tracking.D360 for SAR analysis, data visualization, and activity cliffs. KNIME for no-code workflow automation and plate map generation. Internal databases (grdb) and other informatics tools. Identify and resolve data comparability challenges across sites/vendors (e.g., assay reproducibility, sequential vs. parallel execution).</li><li>Collaborate with upstream (biology/target validation) and downstream (DMPK, safety, analytical) functions to ensure chemistry data is contextualized for cross-domain integration.</li><li>Support adoption of new tools and platforms (e.g., CDD Vault, StarDrop, Genedata, Pipeline Pilot, Spotfire) by defining requirements, building prototypes, and driving user feedback loops.</li><li>Develop user stories, workflows, and data models that guide engineering teams in building scalable solutions for chemistry data and AI/ML applications.</li></ul>What You Bring<ul><li>PhD or MS in Organic Chemistry, Cheminformatics, Medicinal Chemistry, or related field with 3+ years of post-graduate industry experience (med chem, DMPK, or analytical).</li><li>Hands-on experience in synthetic chemistry or medicinal chemistry with exposure to DMTA workflows and data-driven decision-making.</li><li>Familiarity with cheminformatics and scientific data tools such as LiveDesign, D360, KNIME, Pipeline Pilot, Spotfire, CDD Vault, StarDrop, Genedata.</li><li>Ability to understand and communicate both scientific and technical concepts, including assay design, SAR analysis, plate-based workflows, and LC-MS data.</li><li>Strong skills in data curation, pipeline development, and workflow automation; exposure to SQL or Python preferred. Excellent problem-solving and communication skills; able to partner with both bench scientists and data engineers.</li><li>Passion for enabling AI/ML solutions in drug discovery and development.</li><li>Experience performing extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.</li><li>Ability to engage diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities </li><li>Experience advising scientists in a consulting capacity to further research, development, and quality testing outcomes.</li></ul>Why TetrascienceJoin a mission-driven company transforming the scientific data ecosystem. Be part of a high-impact partnership with a top 25 pharma, helping to shape how modern medicinal chemistry integrates with AI. Collaborate with world-class scientists, engineers, and AI experts. Competitive compensation, comprehensive benefits, and career growth opportunities.Benefits<ul><li>100% employer-paid benefits for all eligible employees and immediate family members</li><li>Unlimited paid time off (PTO)</li><li>401K</li><li>Remote working opportunities, when not at customer sites</li><li>Company paid Life Insurance, LTD/STD</li><li>A culture of continuous improvement where you can grow your career and get coaching</li></ul></div></div>

<h3>Job Description</h3><div>Job Description<div>TetraScience is a Scientific Data and AI company with a mission to radically improve and extend human life. TetraScience combines the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to accelerate and improve scientific outcomes. TetraScience is catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which it brings to life in a growing suite of next generation lab data management products, scientific use cases, and AI-based outcomes Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add high-performance team members that authentically and unconditionally embrace our values:<ul><li>Transparency and Context - We trust our people will make the right decisions and overcome any challenges when given data and context.</li><li>Trust and Collaboration - We believe there can only be trust when there is transparency. We are committed to always communicating openly and honestly.</li><li>Fearlessness and Resilience - We proactively run toward challenges of all types. We embrace uncertainty and we take calculated risks.</li><li>Alignment with Customers - We are completely committed to ensuring our customers and partners achieve their missions and treat them with respect and humility.</li><li>Commitment to Craft - We are passionate missionaries. We sweat the details, as the small things enable the big things.</li><li>Equality of Opportunity - We seek out the best of the best regardless of gender, ethnicity, race, or age; We seek out those who embody our common values but bring unique and invaluable perspectives, talents, and advantages.</li></ul>What You Will DoYou will be leading the Scientific Data Engineering (SDE) Team and helping build Tetra Data and productizable solutions, which is the foundation of the Data Engineering layer. We are looking for a data engineer who is experienced, hands-on, and can also provide mentorship to junior team members. As a Senior Scientific Data Engineer, you should be comfortable leading internal design sessions and architecting solutions. You will work directly with Product Managers and Solution Architects to gather business and data design objectives, resulting in production-based solutions. As a Senior Scientific Data Engineer, you will be a team-focused leader, have excellent data engineering skills, supervise and collaborate on project executions, and have a high commitment to customer success by delivering mission-critical implementations.Our success is defined by collaboration. You will have tremendous support to achieve your objectives, from a variety of teams, both internal and external.<ul><li>Work with Product Managers and Solution Architects to understand business requirements, gather insight into potential positive outcomes, recommend potential outcomes, and build a solution based on consensus.</li><li>Take ownership of building data models, prototypes, and integration solutions that drive customer success.</li><li>Research and prototype data integration strategy for scientific lab instrumentation, prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries).</li><li>Quality gatekeeper: design with quality backed by unit tests, integration tests, and utility functions.</li><li>Lead team-wide process/technology improvements on product quality and developer experience</li><li>Rally the team to finish Agile Sprint commitments. Actively surfacing team inefficiencies and striving to resolve them.</li><li>Driven by results. Have the pragmatic urgency to resolve blockers, unclear requirements, and make things happen.</li><li>Provide mentorship to junior SDEs and show leadership in every front</li></ul>Requirements<ul><li>8+ years of building solutions as a Data Engineer or similar fields.</li><li>8+ years working in Python and SQL with a focus on data.</li><li>Experience leading projects, managing requirements, and handling timelines</li><li>Experience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes, and managing delivery milestones.</li><li>Excellent communication skills, attention to detail, and the confidence to take control of project delivery.</li><li>Quickly understand a highly technical product and effectively communicate with product management and engineering.</li></ul>Benefits<ul><li>100% employer paid benefits for all eligible employees and immediate family members.</li><li>401K.</li><li>Unlimited paid time off (PTO).</li><li>Flexible working arrangements.</li><li>Company paid Life Insurance, LTD/STD.</li></ul></div></div>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Decreasing Comments	Product Metrics	Easy	Very High

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