Scientific Data Architect
TetraScience
full-time
Posted on:
Location Type: Hybrid
Location: Indianapolis • United States
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About the role
- You will be a critical team member in a unique partnership to industrialize Scientific AI.
- 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.
- 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.
- Rapidly learn new technologies (e.g., new AWS services or scientific analysis applications) to develop and troubleshoot use cases.
- Must be able to travel to client sites in St.Louis, Indianapolis, Chicago regions.
Requirements
- PhD with +4 years or Masters with +8 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.
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**
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data model designPythonparser developmentAPI integrationdata visualizationapp developmentmachine learningartificial intelligencestatistical modelingexploratory data analysis
Soft Skills
communicationcollaborationrelationship buildingproblem solvingstorytellingconsultingadaptabilitystakeholder engagementproactive communicationteamwork
Certifications
PhDMasters