Scientific Data Architect

**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:
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 **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.

You are an **insatiable learner**, with a track record of deeply learning new tools, methods, and domains.

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 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.
- Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud 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.

**Requirements**:
**What You Will Do**:

- **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 Basel Region,** building strong relationships, deeply understanding their scientific data challenges and requirements, and accelerating solutions.
- **Design and implement extensible, reusable data models** that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability.
- Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform.
- Own, scope, prototype, and implement solutions including:
- Data model design (tabular & JSON)
- Python-based parser development.
- Lab software (e.g., ELN/LIMS) integration via APIs.
- Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools like holoviews and Plotly)
- Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid)
- Programmatically interrogating proprietary instrument output files.
- Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption through regular demos and meetings
- Proactively communicate implementation progress and deliver demos to customer stakeholders.
- Collaborate with the product team to build and prioritize our roadmap by understanding customers’ pain points within and outside Tetra Data Platform.

**Benefits**
- Competitive Salary and equity in a fast-growing company.
- Supportive, team-oriented culture of continuous improvement.
- Generous paid time off (PTO). Flexible working arrangements - Remote work when not at Customer Sites

We are not currently providing visa sponsorship for this position.