Top 132 Knowledge graph Jobs in San Francisco, Ca

Data Scientist, Knowledge Graphs
Mithrl —San Francisco, CA
- $150,000 - $200,000 a year
- Full-time
- Office
- Analysis skills
- Senior level
- Health insurance
- Dental insurance
Data Scientist - (Knowledge Graph & Identity)
SAMBA TV —San Francisco, CA
- $120,000 - $200,000 a year
- Full-time
- Computer Science
- Mid-level
- Office
Data Engineer, Knowledge Graphs
Mithrl —San Francisco, CA
- $150,000 - $200,000 a year
- Full-time
- Office
- Analysis skills
- Senior level
- Health insurance
- Dental insurance
Senior Manager, Engineering, Knowledge Graph
Learning Commons —Redwood City, CA
- $241,000 - $331,100 a year
- Hybrid work
- Office
- 8 years
- Mentoring
- Paid time off
- 401(k) matching
Quick Apply
Principal Knowledge Engineer
Salesforce —San Francisco, CA
- $197,300 - $344,700 a year
- Full-time
- Azure
- Computer Science
- 11+ years
- Paid parental leave
- Disability insurance
13d
Full Stack Engineer
Prophecy Gov —San Francisco, CA
- $150,000 - $225,000 a year
- Full-time
- Mid-level
- Office
- APIs
- Health insurance
- Dental insurance
Quick Apply
Data Engineer (SMTS/LMTS) - Knowledge Graph & AI
Salesforce —San Francisco, CA
- $148,500 - $285,800 a year
- Full-time
- Azure
- Computer Science
- System design
- Paid parental leave
- Disability insurance
13d
Core Engineering
Rox Data Corp —San Francisco, CA
- Full-time
- System design
- Office
- Senior level
Data Scientist
Middesk —San Francisco, CA
- $175,000 - $210,000 a year
- Full-time
- Hybrid work
- 5 years
- System design
- Office
Knowledge Engineer / Semantic Expert for AI
Accenture —San Francisco, CA
- $68,300 - $220,400 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Paid holidays
- Disability insurance
Founding Engineer
Clera —San Francisco, CA
- $150,000 - $220,000 a year
- Full-time
- Computer Science
- System design
- Mid-level
Quick Apply
ML Engineer, Biological Analysis & Simulation
Mithrl —San Francisco, CA
- $150,000 - $200,000 a year
- Full-time
- Office
- Analysis skills
- Senior level
- Health insurance
- Dental insurance
Build your Own Role!
Squint —San Francisco, CA
- $50,000 - $250,000 a year
- Full-time
- In-person
- Senior level
- Free parking
- Commuter assistance
Data Partnerships Analyst
Fabrion —San Francisco Bay Area, CA
- Full-time
- Mid-level
- 3 years
- SQL
ML Ops Engineer — Agentic AI Lab (Founding Team)
Fabrion —San Francisco Bay Area, CA
- Full-time
- DevOps
- HIPAA
- Mid-level
Founding Engineer: Agent Infrastructure
Clera —San Francisco, CA
- Full-time
- System design
- Mid-level
- APIs
Quick Apply
Data Engineer (Founding Team)
Fabrion —San Francisco Bay Area, CA
- Full-time
- System design
- Senior level
Founding Engineer
Prox —San Francisco, CA
- $200,000 a year
- Full-time
- Office
- Senior level
Quick Apply
Knowledge Engineer / Semantic Expert for AI Sr Manager
Accenture —San Francisco, CA
- $122,700 - $338,300 a year
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
- Paid holidays
- Disability insurance
Sales Engineer - San Francisco
Harness.io —San Francisco, CA
- $220,000 - $290,000 a year
- Mid-level
- Travel
- US work authorization
- Commuter assistance
- Flexible spending account

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knowledge graph jobs near san francisco, ca

Data Scientist, Knowledge Graphs

Mithrl
San Francisco, CA

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Job Details

Full-time
$150,000 - $200,000 a year

Benefits

Health insurance
Dental insurance
401(k)
Vision insurance

Qualifications

Ontology
Data model design
Data modeling
Data Integration (Data management)
Semantic Web
Bioinformatics data analysis
Python
Cross-functional communication
Metadata management
Metadata creation

Full Job Description

ABOUT MITHRL

We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought.

Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports.

Our traction speaks for itself:

12X year-over-year revenue growth
Trusted by leading biotechs and big pharma across three continents
Driving real breakthroughs from target discovery to patient outcomes.

ABOUT THE ROLE

We are hiring a Data Scientist, Knowledge Graphs to build and scale the biological knowledge layer that powers the Mithrl AI Co-Scientist. This role focuses on ingesting and harmonizing the world’s most important biological data sources and curating the relationships that allow our system to reason across pathways, targets, diseases, compounds, and multimodal datasets.

You will ingest data from public consortia and well maintained peer reviewed sources and unify them into a coherent, versioned knowledge graph. You will identify new node types, define relationship schemas, harmonize variable IDs, and ensure metadata remains consistent across all integrated sources. You will also build automated curation pipelines that expand and refine the knowledge graph using both data driven methods and domain logic.

Beyond ingestion and curation, you will create the tools and frameworks that allow users to interact with the knowledge graph and even build their own custom graphs based on the results they generate inside Mithrl. Your work will form the foundation for pathway reasoning, target scoring, evidence aggregation, and multimodal interpretation inside the AI Co-Scientist.

WHAT YOU WILL DO

Ingest, harmonize, and version high value public biological datasets such as CellxGene, Gemma, ARCHS4, ENCODE, GTEx, TCGA, etc.
Ingest well maintained peer reviewed knowledgebases including OpenTargets, HPA, and similar resources
Build automated pipelines to curate and expand relationships inside the knowledge graph
Define and evolve schemas for node types, relationships, metadata rules, and ontology alignment
Harmonize variable IDs and metadata fields across all imported sources to create a unified knowledge layer
Build and maintain versioning, change tracking, and provenance systems for all data and relationships
Develop the framework that allows users to build custom knowledge graphs from the analyses they run inside Mithrl
Build features that allow users to explore, query, and interact with their graphs
Work closely with ML engineers, bioinformatics teams, and discovery application teams to ensure the knowledge graph supports downstream reasoning and analysis
Validate the correctness, completeness, and integrity of the knowledge graph across releases

WHAT YOU BRING

Required Qualifications

Strong experience in data science, bioinformatics, computational biology, or a related field
Experience working with biological knowledgebases, public datasets, or ontology driven systems
Familiarity with graph data structures, relationship modeling, and knowledge graph concepts
Experience harmonizing heterogeneous biological datasets and mapping variable IDs across sources
Proficiency in Python and scientific computing libraries
Ability to build ingestion pipelines for structured or semi structured biological data
Strong understanding of metadata standards, biological ontologies, and domain logic
Ability to translate complex biological information into structured, machine readable representations
Excellent communication skills and comfort collaborating across engineering and scientific teams

Nice to Have

Experience with graph databases or graph query languages
Experience with KG curation, link prediction, relationship extraction, or graph based ML
Familiarity with multi modal data integration
Previous work on biological or chemical knowledge graphs
Experience with public consortia such as ENCODE, GTEx, TCGA, or ChEMBL, etc.
Prior experience in a tech bio startup or scientific software environment

WHAT YOU WILL LOVE AT MITHRL

You will build the core knowledge layer that the AI Co-Scientist uses to reason about biology
Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders
Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution
Speed: We ship fast (2x/week) and improve continuously based on real user feedback
Location: Beautiful SF office with a high-energy, in-person culture
Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation Range: $150K - $200K

Apply Now

Refine Your Search

knowledge graph jobs in san francisco, ca

Data Scientist, Knowledge Graphs

Data Scientist - (Knowledge Graph & Identity)

Data Engineer, Knowledge Graphs

Senior Manager, Engineering, Knowledge Graph

Principal Knowledge Engineer

Full Stack Engineer

Data Engineer (SMTS/LMTS) - Knowledge Graph & AI

Core Engineering

Data Scientist

Knowledge Engineer / Semantic Expert for AI

Founding Engineer

ML Engineer, Biological Analysis & Simulation

Build your Own Role!

Data Partnerships Analyst

ML Ops Engineer — Agentic AI Lab (Founding Team)

Founding Engineer: Agent Infrastructure

Data Engineer (Founding Team)

Founding Engineer

Knowledge Engineer / Semantic Expert for AI Sr Manager

Sales Engineer - San Francisco

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