Senior / Staff Documentation Engineer
Own documentation systems and AI-augmented workflows for a scientific data and AI platform. Build and maintain docs-as-code pipelines, LLM-backed authoring tools, and content optimized for AI agent consumption.
Scientific data and AI cloud for life sciences R&D
TetraScience builds a vendor-neutral cloud platform that ingests, harmonizes, and transforms raw scientific data from lab instruments and informatics into AI-native datasets. It serves biopharma companies to enable analytics, ML use cases, and faster drug discovery across R&D, manufacturing, and quality. This unlocks siloed data to improve productivity and scientific outcomes.
Own documentation systems and AI-augmented workflows for a scientific data and AI platform. Build and maintain docs-as-code pipelines, LLM-backed authoring tools, and content optimized for AI agent consumption.
Design and implement scientific data models and AI/ML solutions for biopharma customers. Engage onsite with scientists in Indianapolis area to translate complex data workflows into scalable cloud-based applications.
Lead Platform Engineer architecting and scaling distributed cloud-native backend services, owning authorization, metadata, governance, and high-throughput event processing on AWS. Requires 10+ years building production-grade platforms and deep expertise in TypeScript, Python, and IaC.
Hands-on technical lead owning cloud infrastructure, CI/CD pipelines, and deployment automation for a multi-tenant SaaS platform. Architect and build production systems using AWS, Terraform, CloudFormation, and Python in a GxP-regulated environment.
Lead the Lakehouse Platform team building foundational data infrastructure for scientific AI. Own architecture, drive technical strategy, and manage 8+ engineers as a player-coach with deep hands-on contribution.
Owns end-to-end delivery lifecycle for enterprise biopharma customers implementing Tetra OS data pipelines and scientific workflows. Navigates complex IT/security/procurement environments, manages cross-functional teams, and drives adoption/expansion with 5+ years experience in SaaS delivery or consulting.
Leads end-to-end delivery of Tetra OS implementations for enterprise biopharma customers, navigating complex IT/procurement environments, driving adoption, and identifying expansion opportunities. Requires 5-7+ years in SaaS delivery or consulting, life sciences lab experience, and project management expertise.
Designs and owns Common Data Models and semantic layers for scientific data interoperability in life sciences. Translates business goals into ontologies, ensures FAIR data for AI/ML, and empowers forward-deployed engineers with standardized contracts. Requires 7+ years in data architecture and CDM expertise like HL7 FHIR, OMOP.
Leads Scientific Data Engineering team to build data pipelines, schemas, and parsers for pre-clinical lab data using Python/SQL/AI. Architects solutions, mentors juniors, and delivers customer-focused data products with dashboards in React/Streamlit. Requires 8+ years experience.
Leads end-to-end delivery and adoption of scientific data platforms for enterprise biopharma customers, navigating complex IT/procurement environments to deliver ahead of schedule. Requires 5+ years in consulting/SaaS delivery, scientific literacy, and political savvy in pharma.
Leads end-to-end delivery and adoption of scientific data platform for enterprise biopharma customers, navigating complex IT/political environments to ensure on-time implementation and value realization. Drives account expansion while managing cross-functional teams and customer stakeholders. Requires 5-7+ years SaaS delivery/consulting in life sciences.
Designs and maintains cloud-native AI/ML infrastructure, including MLOps pipelines on AWS and Databricks. Builds scalable data pipelines, integrates LLMs with RAG, and ensures production reliability. Requires 7+ years experience with TypeScript/Python, IaC, and ML workflows.
Owns full sales cycle for scientific data cloud solutions targeting life sciences firms, leading technical discovery, demos, POCs, RFPs, and commercial closes while managing account expansion. Requires 7+ years in scientific software sales and deep lab data expertise.
Leads full-cycle sales for scientific data cloud platform targeting life sciences firms, owning technical discovery, solution architecture, POCs, RFPs, and account expansion. Requires 7+ years in scientific software sales, deep lab data expertise, and advanced life sciences degree preferred.
Supports the CEO by coordinating executive engagements with biopharma, tech partners, and government; owns follow-through on alliances and initiatives; crafts science-business-policy narratives. Requires MS/PhD in life sciences plus business/policy experience, high judgment, and flexible schedule.
Leads legal strategy, risk management, and compliance for a life sciences SaaS company. Drafts/negotiates complex contracts, advises on data/IP issues, and collaborates with product/engineering teams. Requires 10-15+ years experience in pharma/biotech and SaaS legal matters, plus JD and bar membership.
Scientific Business Analyst bridges scientific domain expertise in life sciences (drug discovery, CMC, Quality) with AI/ML to develop use cases, analyze customer data, and enable onsite customer adoption in Boston area. Requires PhD and 15+ years industry experience.