Position Details

Salary $151K – $222K USD / year

Type Not Specified

Experience mid

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

This role involves designing and building data infrastructure for AI-native drug discovery, focusing on scientific data, schemas, and knowledge graphs to enable advanced analytics and AI applications.

Key Responsibilities

Design data models and schemas
Create knowledge graphs
Develop platform architectures
Ensure FAIR data compliance
Collaborate with scientists and engineers

Technical Overview

The technical environment includes data modeling, ontologies, knowledge graphs, APIs, and FAIR data principles, with a focus on scientific and healthcare data platforms.

Ideal Candidate

The ideal candidate is a mid-level data architect with experience designing data infrastructure for scientific or healthcare data, familiar with knowledge graphs and FAIR principles, capable of working independently and collaborating with multidisciplinary teams.

Must-Have Skills

Data modelingOntologiesScientific dataData infrastructurePlatform architecture

Nice-to-Have Skills

Knowledge graphData governanceData connectivityAI-native drug discoveryChemical dataBiological data

Tools & Platforms

APIsData connectivity

Required Skills

Data modelingOntologiesKnowledge graphsData schemasAPIsFAIR dataScientific dataData infrastructureData connectivityPlatform architecture

Hard Skills

Data modelingOntologiesData schemasKnowledge graphsPlatform architecturesFAIR data principlesScientific dataData infrastructureAPIsData connectivity

Soft Skills

DesignPartnershipIndependent judgmentScientific knowledgeCollaboration

Industry & Role

Industry Healthcare IT

Job Function Designing and implementing scientific data infrastructure for AI-driven drug discovery

Role Subtype Data Architect

Tech Domains Active Directory, Microsoft 365, Azure, Amazon Web Services, Kubernetes, Docker, Python, Java, SQL / PostgreSQL, Cybersecurity

Keywords for Your Resume

Data ArchitectData modelingOntologiesKnowledge graphsData schemasPlatform architecturesFAIR dataScientific dataData infrastructureAPIsData connectivityAI-native drug discoveryChemical dataBiological dataData governancePlatform architecture

Deal Breakers

Lack of experience with scientific data modeling, No knowledge of knowledge graphs or ontologies, No experience in healthcare or pharma data environments

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