Scientific Business Analyst, High Throughput Screening

TetraScience; Cambridge; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

A leading scientific data solutions provider in the UK is seeking a strategic professional to transform complex scientific data into actionable outcomes. The ideal candidate will have a PhD and over 15 years in life sciences, focusing on AI/ML applications. Responsibilities include customer data exploration, use case development, and stakeholder engagement. The role offers 100% employer-paid benefits and remote working opportunities.

Benefits

Unlimited paid time off (PTO)

100% employer-paid benefits

401K

Company paid Life Insurance, LTD/STD

Culture of continuous improvement

Qualifications

• 15+ years of experience in life sciences with a focus on High-Throughput Screening.
• Extensive domain knowledge in AI/ML-driven use cases.
• Excellent communication and storytelling abilities.

Responsibilities

• Investigate customer datasets for AI-readiness.
• Develop scientific use cases with customers.
• Analyze data and suggest experiments to drive insights.

Skills

Analytical thinking

Data analysis

Stakeholder engagement

Communication skills

Problem-solving

Education

PhD in Life Sciences

Tools

AI/ML applications

Data analysis software

Job description

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 high throughput screening for synthetic molecules and biologics, 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 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,, 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.

What You Have Done

• PhD with 15+ years of industry experience in life sciences with extensive domain knowledge in High-Throughput Screening (HTS) for Synthetics & Biologics including Assay Development & Miniaturization, Compound Library Screening, Automation / Liquid Handling Robotics, Cell-based Assays, and Biologics Screening (ELISA, FRET, AlphaLISA)
• Proven track record of defining and implementing AI/ML-driven use cases in productized environments for High-Throughput Screening efforts.
• 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.

• 100% employer-paid benefits for all eligible employees and immediate family members
• Unlimited paid time off (PTO)
• 401K
• Remote working opportunities, when not at customer sites
• Company paid Life Insurance, LTD/STD
• A culture of continuous improvement where you can grow your career and get coaching