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Mithrl · 1 month ago

Data Scientist, Knowledge Graphs

San Francisco, CA

Full-time

Onsite

Mid Level

$150K/yr - $240K/yr

Mithrl is a fast-growing tech bio company building the world's first commercially available AI Co-Scientist. The Data Scientist, Knowledge Graphs will focus on ingesting and harmonizing biological data to curate relationships that enable reasoning across various biological datasets and enhance the AI Co-Scientist's capabilities.

Artificial Intelligence (AI)Data Center AutomationLife ScienceMedicalSoftware

Responsibilities

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

Qualification

Data scienceBioinformaticsGraph data structuresPythonKnowledge graph conceptsHarmonizing datasetsMetadata standardsCommunicationCollaboration skills

Required

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

Preferred

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

Benefits

Comprehensive PPO health coverage through Anthem (medical, dental, and vision)

401(k) with top-tier plans

Company

Mithrl

Mithrl is a software development company that builds the custom workflows for NGS data on-demand.

Founded in 2023

San Francisco, California, USA

11-50 employees

https://www.mithrl.com/

Funding

Current Stage

Early Stage

Total Funding

$4M

Key Investors

Bonfire Ventures

2024-11-14Seed· $4M

Leadership Team

Shara Balakrishnan, Ph.D.

Chief Technology Officer

Company data provided by crunchbase