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Jobgether

Jobgether

via Lever.co

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Principal Data Scientist - REMOTE

Anywhere
Full-time
Posted 1/9/2026
Direct Apply
Key Skills:
Data Science
Knowledge Graphs
Semantic Modeling

Compensation

Salary Range

$200K - 250K a year

Responsibilities

Design and implement semantic structures, ontologies, and AI solutions to enhance machine learning systems in healthcare and life sciences.

Requirements

Requires a doctorate or master's with 4+ years in data science, deep expertise in semantic modeling, knowledge graphs, and experience with advanced ML techniques.

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Scientist - REMOTE. In this vital role, you will serve as a senior individual-contributor authority on semantic modeling, context engineering, and AI-first data science. Your work will enable high-performing machine learning approaches and generative AI systems through well-architected context. As an AI Context Architect, you will design foundational semantic structures that improve the accuracy, explainability, and performance of AI systems, collaborating across multiple domains to make a significant impact in life sciences and healthcare. \n Accountabilities Define enterprise-grade semantic representations for healthcare/life-sciences concepts. Create and maintain semantic schemas, ontologies, and knowledge-graph models optimized for AI reasoning. Establish context engineering standards for data shaping into prompts and structured outputs. Lead feature engineering strategy directly impacting model performance. Perform exploratory data analysis on complex datasets to identify predictive signals. Build and evaluate context-aware ML/GenAI solutions integrating semantic layers. Architect and implement retrieval and memory patterns. Translate domain needs into semantic and AI roadmaps. Requirements Doctorate degree with 2 years or Master's degree with 4 years in Data Science or related field. 10+ years applying data science in enterprise environments preferred. Deep expertise in semantic modeling and knowledge graphs. Strong understanding of machine learning fundamentals and performance drivers. Practical experience with RAG/retrieval and vector search solutions. Working knowledge of reinforcement learning concepts. Proficiency in Python and modern data/ML stacks. Exceptional stakeholder management skills. Benefits Comprehensive employee benefits package including medical, dental, and vision coverage. Retirement and Savings Plan with generous company contributions. Discretionary annual bonus program. Stock-based long-term incentives. Award-winning time-off plans. Flexible work models where possible. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

This job posting was last updated on 1/12/2026

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