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Scientific Business Analyst, Scientific AI

Who We Are

TetraScience is the Scientific Data and AI Cloud 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 fundamentally embody the principles of extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications. 

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

  • PhD with 15+ 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.
  • Proven track record of defining and implementing AI/ML-driven use cases in productized environments.
  • Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
  • Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.
  • Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities 
  • Advised scientists in a consulting capacity to further research, development, and quality testing outcomes.

What You Will Do 

  • Customer Data Exploration: Investigate customer datasets to identify gaps, enrichment opportunities, and AI-readiness factors.
  • Scientific Use Case Development: Collaborate with customers to define, iterate, and refine AI/ML-driven scientific use cases.
  • Stakeholder Engagement: Interview scientists and guide them in expanding and leveraging their data for AI applications.
  • Data Analysis and Enrichment: Perform exploratory data analysis (EDA) and define data transformations for AI/ML use cases.
  • Workflow Documentation: Develop workflow diagrams, process mappings, ERDs, AS-IS/TO-BE workflows, and ontology definitions.
  • AI Model Evaluation: Provide feedback on AI/ML models to enhance scientific outcomes and improve product offerings.
  • Customer Education and Demonstration: Conduct technical demonstrations, showcase AI applications, and drive adoption.
  • Strategic Recommendations: Proactively suggest experiments or data strategies that strengthen customer insights and outcomes.

  • 100% employer-paid benefits for all eligible employees and immediate family members
  • Unlimited paid time off (PTO)
  • 401K
  • Flexible working arrangements - Remote work 
  • Company paid Life Insurance, LTD/STD
  • A culture of continuous improvement where you can grow your career and get coaching
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CEO of TetraScience
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Patrick Grady
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Average salary estimate

$175000 / YEARLY (est.)
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$150000K
$200000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Scientific Business Analyst, Scientific AI, TetraScience

TetraScience is on the lookout for a Scientific Business Analyst to join our team in revolutionizing the Scientific AI landscape. As a leader in scientific data and AI cloud solutions, TetraScience is accelerating how scientific insights are generated and employed. In this role, you'll work collaboratively with scientists, product managers, and engineers to translate complex scientific data into actionable strategies that drive real results. If you have a PhD and at least 15 years of experience in life sciences, particularly in drug discovery or preclinical development, you'll find a home here where your deep domain knowledge can thrive. You will be engaging with clients to explore their data, pinpointing gaps, and identifying opportunities for AI enrichment, while also developing meaningful AI/ML-driven use cases. If you have a proven track record working with cross-functional teams and possess strong analytical and storytelling abilities, TetraScience provides an environment ripe for collaboration and innovation. You'll be involved in everything from exploratory data analysis and workflow documentation to conducting technical demonstrations that educate and inspire customers about our cutting-edge AI applications. Here, continuous improvement is part of our culture, and we empower our team to take ownership and make impactful contributions. With benefits like unlimited paid time off and flexible working arrangements, we're not just committed to advancing science but also ensuring our team members have a fulfilling work experience. If you’re ready for a thrilling challenge that promises career growth and the chance to redefine the life sciences industry, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Scientific Business Analyst, Scientific AI Role at TetraScience
What responsibilities does the Scientific Business Analyst at TetraScience have?

The Scientific Business Analyst at TetraScience is primarily responsible for exploring customer data sets, identifying gaps and opportunities for enrichment, and developing AI/ML-driven scientific use cases. They engage with scientists to maximize the value of their data while performing exploratory data analysis and documenting workflows, ensuring that insights translate into actionable outcomes.

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What qualifications are required for the Scientific Business Analyst position at TetraScience?

Candidates for the Scientific Business Analyst role at TetraScience should hold a PhD and possess a minimum of 15 years of experience in life sciences, particularly in domains like drug discovery, preclinical development, or product quality testing. Additionally, a proven expertise in implementing AI/ML-driven use cases in a productized environment is essential.

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How does the Scientific Business Analyst collaborate within TetraScience?

At TetraScience, the Scientific Business Analyst collaborates closely with cross-functional teams, including software engineers and product managers, to drive the development of scientific solutions. Their ability to communicate effectively with diverse audiences, from scientists to executive stakeholders, plays a critical role in fostering collaboration and driving product innovation.

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What does a day-to-day look like for a Scientific Business Analyst at TetraScience?

A typical day for the Scientific Business Analyst at TetraScience involves customer data exploration, stakeholder interviews, and collaborative workshops to refine AI-driven scientific use cases. The role also requires conducting exploratory data analysis, developing workflow documentation, and providing feedback on AI models, all aimed at enhancing scientific outcomes for clients.

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What kind of work environment can a Scientific Business Analyst expect at TetraScience?

The work environment at TetraScience is dynamic and collaborative, encouraging continuous improvement and ownership. With flexible working arrangements, including remote work, our culture supports personal growth and development, ensuring all team members can thrive in their roles while contributing to significant advancements in the life sciences sector.

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Common Interview Questions for Scientific Business Analyst, Scientific AI
Can you explain your experience with AI/ML use cases in scientific environments?

Reflect on specific projects where you've implemented AI/ML solutions. Describe the objectives, your role, and how the outcomes benefited the organization or client. Emphasizing your analytical skills and project collaboration will help demonstrate your fit for the Scientific Business Analyst position.

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How do you approach stakeholder engagement in your projects?

Discuss your strategies for engaging diverse stakeholders, including scientists and executives. Highlight your communication tactics, such as presenting complex data in accessible ways, to assure that you can effectively bridge scientific insights with business needs.

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What methods do you use for exploratory data analysis?

Share specific tools or frameworks you've utilized for exploratory data analysis, detailing how you've applied them to uncover insights or drive decisions in previous roles. Emphasize your problem-solving skills and approach to data-driven strategies.

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Describe a time you faced a challenge in a data-driven project. How did you handle it?

Relate a specific challenge along with the steps you took to resolve it. This could involve finding ways to enrich datasets or refine use cases. Highlight your critical thinking and collaborative efforts that led to a successful outcome.

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What experience do you have with workflow documentation?

Talk about your familiarity with creating workflow diagrams, process mappings, and using ERDs. Providing examples of how this documentation has enhanced clarity and communication within your previous teams will showcase your organizational skills.

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How do you stay updated on trends in AI and data science?

Discuss your commitment to continuous learning, detailing methods such as attending seminars, participating in online courses, or following specific publications. This shows your initiative and passion for the field, which is crucial for a role at TetraScience.

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What would you do if there was a disconnect between scientific objectives and data availability?

Explain your approach in recognizing such discrepancies, including how you would communicate this to the team and strategize solutions. This could involve suggesting alternative data strategies or redefining project goals, showcasing your proactive mindset.

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Can you provide an example of how you successfully influenced a decision with data?

Provide a concrete example where your analytical insights led to a critical decision. Explain the data involved, your methodology, and how your recommendations were received. This demonstrates your data-driven influence that aligns with the TetraScience role.

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What do you see as the key trends in the life sciences industry?

Speak to current trends such as the use of AI in drug discovery or advancements in data integration. Relating your insights to TetraScience’s mission can demonstrate your knowledge and alignment with the company's goals.

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Why do you want to work at TetraScience as a Scientific Business Analyst?

Articulate your motivation by aligning TetraScience's mission with your career aspirations and values. Discuss how your background in life sciences and passion for innovation aligns with TetraScience’s vision in transforming the industry.

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Combine the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to radically accelerate and improve scientific outcomes.

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Full-time, remote
DATE POSTED
March 20, 2025

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