# Scientific Data Architect

**Company:** [TetraScience](https://hotfix.jobs/companies/tetrascience)
**Location:** Tarrytown, NY
**Role:** Solutions Architecture
**Salary:** $140k – $240k/yr
**Experience:** 8+ years
**Skills:** Python, Data Architecture, Data Modeling, Machine Learning, Artificial Intelligence, Cloud Computing, Exploratory Data Analysis, Eln/Lims, APIs, Data Visualization, Scientific Agents, Claude Code, Codex, Drug Discovery, Pharmaceutical Manufacturing
**Posted:** 2026-08-18

> Designs and implements scalable scientific data models, pipelines, integrations, applications, and AI-driven solutions for biopharma customers. The role requires substantial life sciences domain experience, strong data architecture and Python skills, customer engagement, and collaboration across scientific, product, and engineering teams.

## Job Description

## Responsibilities
- Engage directly with customers onsite a couple of days per week in the assigned geographic region to understand scientific data challenges and requirements and accelerate solutions.
- Design and implement extensible, reusable data models that capture and organize scientific data for scalability and future adaptability.
- Translate scientific data workflows into robust solutions using the Tetra Data Platform.
- Own, scope, prototype, and implement solutions including:
  - Data model design
  - Python-based pipeline development
  - Lab software integrations, such as ELN/LIMS, via APIs
  - Data visualization and application development
  - Scientific agents
- Use agentic development tools such as 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.

## Requirements
- PhD with 4+ years, master's degree with 6+ years, or bachelor's degree with 8+ years of industry experience in life sciences.
- Extensive domain knowledge in drug discovery, preclinical development, CMC, product quality testing, or pharmaceutical manufacturing.
- Proven experience defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments.
- Experience designing scalable and reusable data architecture.
- Experience collaborating with product managers, software engineers, and scientific stakeholders.
- Experience performing exploratory data analysis and workflow optimization.
- Excellent communication and storytelling skills for engaging scientists and executive stakeholders.
- Experience advising scientists in a consulting capacity.
- Experience augmenting technical, business, and communication work through agentic development and knowledge work.

## Nice to Have
- Hybrid dry-lab and wet-lab experience.

## Compensation and Benefits
- Salary range: **$140,000–$240,000**.
- 100% employer-paid benefits for eligible employees and immediate family members.
- Unlimited paid time off.
- 401(k).
- Company-paid life insurance and LTD/STD.
- Continuous-improvement culture with career growth and coaching.
- Visa sponsorship is not currently provided.

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