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Data Encoder Jobs in Vallejo, CA (NOW HIRING)

ABOUT THE ROLE We are hiring a Data Scientist, Knowledge Graphs to build and scale the biological ... Experience with public consortia such as ENCODE, GTEx, TCGA, or ChEMBL, etc. * Prior experience in ...

ABOUT THE ROLE We are hiring a Data Scientist, Knowledge Graphs to build and scale the biological ... Experience with public consortia such as ENCODE, GTEx, TCGA, or ChEMBL, etc. * Prior experience in ...

C/C++ for targeted native improvements, data encoding/transfer, drivers). โ€ข A strong product/design mindset and user-centered thinking. โ€ข 2+ years of experience in a Software Engineering role and ...

Sr. Data Scientist

San Francisco, CA ยท Remote

$162K - $238K/yr

Encoder-Decoder Architectures * Retrieval-based Systems * Hands-on experience with GenAI ecosystems including: * LangGraph * LangChain * Amazon Bedrock * Strong Python programming skills.

Full-Stack Software Engineer

San Francisco, CA ยท On-site

$125K - $180K/yr

C/C++ for targeted native improvements, data encoding/transfer, drivers). * A strong product/design mindset and user-centered thinking. * 2+ years of experience in a Software Engineering role and a ...

Build shared processing components such as privacy redaction, transcription, encoding, format ... The data is the deliverable. The end product at Mercor is the data; what your pipeline produces is ...

Sr. Data Scientist

San Francisco, CA ยท Remote

$162K - $238K/yr

Powered by AI, big data, and predictive analytics, our platform helps revenue teams identify buying ... Encoder-Decoder Architectures * Retrieval-based Systems * Hands-on experience with GenAI ecosystems ...

Data Scientist

San Francisco, CA ยท On-site

$120K - $155K/yr

The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position ... encoding bespoke energy contract terms into reusable and scaled models, or developing a ...

Data Scientist

San Francisco, CA ยท On-site

$120K - $155K/yr

The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position ... encoding bespoke energy contract terms into reusable and scaled models, or developing a ...

Data Scientist

San Francisco, CA ยท On-site

$120K - $155K/yr

The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position ... encoding bespoke energy contract terms into reusable and scaled models, or developing a ...

Sr. Data Scientist

San Francisco, CA ยท On-site

$162K - $238K/yr

Powered by AI, big data, and predictive analytics, our platform helps revenue teams identify buying ... Encoder-Decoder Architectures * Retrieval-based Systems * Hands-on experience with GenAI ecosystems ...

AI Engineer

San Francisco, CA ยท On-site

$180K - $220K/yr

The result is a platform that can extract the revenue blueprint from a company's data, encode it into repeatable automations, and execute it across sales, marketing, and customer success ...

Integrate and fuse sensor data, including IMUs, encoders, hall sensors, and temperature sensors (PCB-level design). * Develop and test power/sensor electronics systems in collaboration with hardware ...

Software Engineer - Systems

San Francisco, CA ยท On-site

$203K - $241K/yr

... encode/decode, streaming, and storage * Contribute to tracking and state estimation algorithms, bridging raw sensor data and meaningful system outputs in close collaboration with ML and perception ...

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Data Encoder information

See Vallejo, CA salary details

$10

$34

$78

How much do data encoder jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for data encoder in Vallejo, CA is $34.94, according to ZipRecruiter salary data. Most workers in this role earn between $13.11 and $65.81 per hour, depending on experience, location, and employer.

What is a data encoder?

A Data Encoder is responsible for inputting, updating, and maintaining accurate data in computer systems or databases. They ensure data integrity by verifying and correcting information as needed. The role often involves handling confidential records, organizing files, and generating reports. Strong attention to detail, typing skills, and familiarity with data management software are essential for this position.

What are the key skills and qualifications needed to thrive in the data encoder position, and why are they important?

To thrive as a Data Encoder, you need excellent attention to detail, fast and accurate typing skills, and a high school diploma or equivalent as a common minimum qualification. Familiarity with data entry software, spreadsheet applications like Microsoft Excel, and sometimes database management systems is typically required. Strong organization, time management, and the ability to work independently or as part of a team are valuable soft skills in this role. These skills are crucial for ensuring the accuracy, reliability, and efficiency of data processing tasks within various industries.

What are the typical daily responsibilities of a data encoder?

A Data Encoder is primarily responsible for accurately inputting and updating information into digital databases or systems, often working with large volumes of data from paper or electronic sources. Typical daily tasks include reviewing documents for errors, verifying data for completeness and accuracy, and organizing files for easy retrieval. Data Encoders may also collaborate closely with other administrative staff or departments to ensure that records remain up-to-date and accessible. In some organizations, they also assist with basic data analysis or generate routine reports to support business operations.

What are the most commonly searched types of Data Encoder jobs in Vallejo, CA? The most popular types of Data Encoder jobs in Vallejo, CA are:
What are popular job titles related to Data Encoder jobs in Vallejo, CA? For Data Encoder jobs in Vallejo, CA, the most frequently searched job titles are:
What job categories do people searching Data Encoder jobs in Vallejo, CA look for? The top searched job categories for Data Encoder jobs in Vallejo, CA are:
What cities near Vallejo, CA are hiring for Data Encoder jobs? Cities near Vallejo, CA with the most Data Encoder job openings:
Infographic showing various Data Encoder job openings in Vallejo, CA as of July 2026, with employment types broken down into 78% Full Time, 7% Temporary, and 15% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $72,672 per year, or $34.9 per hour.

Data Scientist, Knowledge Graphs

Mithrl

San Francisco, CA โ€ข On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 6 days ago


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.