Job Description

Employment Type: Full-time Location Type: Remote

Position Overview

TetraScience is seeking a product-minded, outcome-obsessed driver of technical scientific solutions to join our team. You will be a critical team member in a unique partnership to industrialize Scientific AI. This role requires a high-velocity self-starter who thrives on tackling challenges and building solutions. You will collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes, bridging the gap between present-day pain points and generalizable solutions in the biopharma R&D domain. You will embody 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 demands extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry.

Requirements

What You Have Done:

• PhD with 7+ years or Masters with 10+ years of industry experience in life sciences.
• Extensive domain knowledge in one or more of the following areas:
  • Drug discovery (target ID through lead optimization)
  • Preclinical development
  • CMC (all drug modalities)
  • Product quality testing
• Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments.
• Experience collaborating with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
• Experience performing extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.
• Demonstrated ability to engage diverse audiences, from scientists to executive stakeholders, using excellent communication and storytelling abilities.
• Experience advising scientists in a consulting capacity to further research, development, and quality testing outcomes.
• Insatiable learner with a track record of deeply learning new tools, methods, and domains.

Responsibilities

What You Will Do:

• Engage directly with customers onsite a couple of days per week in the Frankfurt Region.
• Build strong relationships with customers to deeply understand their scientific data challenges and requirements.
• Accelerate solutions for customer scientific data challenges.
• Design and build solutions, refusing to let uncertainty obstruct your path.
• Prototype, demo, and build to accelerate the delivery of products for end users.
• Transform complex scientific data into actionable outcomes.
• Maximize the value of scientific data through analysis and integration with AI/ML.

Company Information

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We bring these 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.

Note: 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.