Scientific Data Architect

TetraScience

. Engage directly with customers onsite a couple of days per week in the assigned geographic region, building relationships, understanding scientific data challenges and requirements, and accelerating solutions .

Posted 11/6/2026full-timeUnited StatesMid-LevelSenior💰 $140,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data models and AI/ML-driven solutions within the life sciences domain, particularly in drug discovery and preclinical development. Strong ability to engage with diverse stakeholders and communicate complex scientific data challenges effectively.

Highest-signal resume keywords

PhD In Life SciencesAI/ML Use Case DevelopmentData Model DesignPython Pipeline DevelopmentCloud Environment Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Architecture DesignExploratory Data AnalysisWorkflow OptimizationAPI IntegrationData VisualizationStatistical ModelingMachine LearningHybrid ModelingScientific Data AnalysisPrototyping

Soft Skills

Excellent CommunicationStorytelling AbilitiesCollaborationConsulting SkillsStakeholder Engagement

Tools & Technologies

Tetra Data PlatformClaude CodeCodexELN SoftwareLIMS Software

Industry Keywords

Drug DiscoveryPreclinical DevelopmentCMCPharma ManufacturingProduct Quality Testing

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Engage directly with customers onsite a couple of days per week in the assigned geographic region, building relationships, understanding scientific data challenges and requirements, and accelerating solutions
Design and implement extensible, reusable data models for scientific use cases
Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform
Own, scope, prototype, and implement data model design, Python-based pipeline development, lab software (ELN/LIMS) API integrations, data visualization and app development, and scientific agents
Leverage agentic development tools like Claude Code and Codex for discovery, prototyping, and development
Collaborate with Scientific Business Analysts, customer scientists, and applied AI engineers to develop and deploy ML, AI, mechanistic, statistical, and hybrid models and agents
Interface directly with scientific end users and technical stakeholders through regular demos and meetings to drive solution development and adoption
Communicate implementation progress and deliver demos to customer stakeholders
Collaborate with the product team to build and prioritize the roadmap based on customer pain points
Rapidly learn new technologies to develop and troubleshoot use cases
Travel to client sites in local geographic areas 3-4 days per week

Requirements

What you’ll need

PhD with +4 years, Masters with +6 years, or Bachelors 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), product quality testing, or pharma manufacturing
Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments
Designed scalable and reusable data architecture
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
Engage diverse audiences, from scientists to executive stakeholders using excellent communication and storytelling abilities
Advised scientists in a consulting capacity to further research, development, and quality testing outcomes
Augmented technical, business, and communication work through agentic development and knowledge work
Must be able to travel to client sites in local geographic areas 3-4 days per week
Visa sponsorship is not currently provided for this position

Benefits

Comp & perks

100% employer-paid benefits for all eligible employees and immediate family members
Unlimited paid time off (PTO)
401K
Company paid Life Insurance, LTD/STD
A culture of continuous improvement where you can grow your career and get coaching