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Part Time Knowledge Graph Software Engineer Jobs

$57/hr

... for a part-time programmer. The role: Help us build a focused, sharp system that turns peer ... Construct/maintain a knowledge graph that links every recommendation back to source papers (full ...

We are looking for a part-time Software Engineer who will assist us with the design, development ... Excellent knowledge of REST APIs, timeseries databases, and UNIX system administration

We are looking for a part-time Software Engineer who will assist us with the design, development ... Excellent knowledge of REST APIs, timeseries databases, and UNIX system administration

Software Engineer

Aurora, CO · On-site +1

$86K - $198K/yr

You use your knowledge to write and optimize code that creates a bridge between pieces of software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$69K - $158K/yr

You use your knowledge to write and optimize code that creates a bridge between pieces of software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Knowledge of security best practices such as authentication, authorization, or OWASP guidelines ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Knowledge of secure software supply chain principles, SLSA, SSDF, and NIST 800-218 * Secret ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Knowledge of secure software supply chain principles, SLSA, SSDF, and NIST 800-218 * Secret ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Software Developer

Annapolis, MD · On-site +1

$69K - $158K/yr

As a seasoned software engineer at Booz Allen, you'll leverage the latest architectural approaches ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Knowledge of one or more of the following frameworks and languages: TypeScript, JavaScript ... full and part time associates. You may also visit: This is intended to describe the general ...

Software Engineer

Aurora, CO · On-site +1

$69K - $158K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

Software Engineer

Aurora, CO · On-site +1

$69K - $158K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

Software Engineer

Arlington, VA · On-site

$69K - $158K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

Software Engineer

Arlington, VA · On-site

$69K - $158K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... However, we want to ensure a fair candidate process based on your own skills and knowledge. As part ...

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Part Time Knowledge Graph Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do part time knowledge graph software engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for part time knowledge graph software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Knowledge Graph Software Engineer vs Part Time Data Scientist?

AspectPart Time Knowledge Graph Software EngineerPart Time Data Scientist
Required CredentialsBachelor's in CS, experience with graph databases, programming skillsBachelor's in CS, statistics, or related field; programming and analytical skills
Work EnvironmentTech companies, research labs, startups focusing on data modelingData analysis firms, research institutions, tech companies
Employer & Industry UsageUsed in AI, semantic web, knowledge managementUsed in analytics, machine learning, business intelligence

The Part Time Knowledge Graph Software Engineer focuses on developing and maintaining knowledge graph systems, requiring expertise in graph databases and data modeling. In contrast, the Part Time Data Scientist analyzes data to extract insights, often using statistical and machine learning techniques. While both roles involve data handling and programming, their core responsibilities and industry applications differ significantly.

What cities are hiring for Part Time Knowledge Graph Software Engineer jobs? Cities with the most Part Time Knowledge Graph Software Engineer job openings:
What are the most commonly searched types of Knowledge Graph Software Engineer jobs? The most popular types of Knowledge Graph Software Engineer jobs are:

Principal Data Scientist - Immunology Knowledge Graph (Titusville)

Dormont Manufacturing Co

Titusville, FL • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Function: Data Analytics & Computational Sciences

Job Sub Function: Data Science

Job Category: Scientific/Technology

All Job Posting Locations: Cambridge, MA; Raritan, NJ; San Diego, CA; Spring House, PA; Titusville, NJ

Johnson & Johnson Innovative Medicine is currently seeking a Principal Data Scientist - Immunology (2 openings) to join our Immunology R&D Data Science & Digital Health team (DSDH). This position will be located on site at one of our offices...

Johnson & Jonn & Jonn Innovative Medicine is recruiting for a Principal Data Scientist (Knowledge Graph Engineer) - Immunology, who will play a pivotal role to standardize and connect biomedical and clinical data. You will be a hands‑on technical contributor with depth in semantic technologies, ontology, and graph data modeling, plus strong familiarity with the life sciences domain.

Primary Responsibilities
  • Be a key contributor to the design and implementation of a scalable knowledge graph infrastructure focused on data standardization and interoperability, focusing on Immunology R&D data.
  • Apply graph-based data modeling for efficient Immunology R&D organization, integration and retrieval to ensure system flexibility and long-term maintainability.
  • Work with a larger community of Data Scientists, Clinical Scientists, and Discovery Scientists to standardize, curate and create AI‑Ready data sets.
  • Curate and extend ontologies for clear mapping into established biomedical ontologies and controlled terminologies using resource description framework (RDF) standards.
  • Work with SPARQL/GraphQL/REST services; develop ingestion and curation pipelines to ingest, normalize and map concepts across data sources.
  • Extend and curate Immunology R&D‑relevant ontologies (e.g., diseases, drugs, targets, pathways, etc.) and maintain synonyms, cross‑references, and provenance.
  • Partner with cross‑functional teams to enable NLP/RAG over graphs, features for predictive modeling and terminology services for search and study design tools.
  • Work with Data Science & Digital Health colleagues, IT and DevOps teams to deploy and manage the graph database infrastructure, focusing on high availability, scalability, and recovery operations specifically geared toward Immunology R&D needs and applications.
  • Draft and manage documentation, such as data dictionaries, data lineage, and data flow diagrams, to facilitate understanding of the knowledge graph.
Preferred Qualifications
  • Desired Ph.D. or master’s degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics, or related fields, emphasis on semantic technologies for biomedical application.
  • 5+ years professional experience in health informatics.
  • Demonstrated experience in large‑scale knowledge graphs construction, ontology development, pharmaceutical or healthcare domains integration.
  • Programming background in parser combinators, natural language processing, and linked data (RDF Triple Stores and property graphs).
  • Proficiency in semantic web technologies (e.g. SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune).
  • Proven work with complex biomedical datasets (e.g. clinical, genomics, proteomics)
  • Proficiency in various data storage solutions (SQL, key‑value, column, document, graph stores) and data modeling techniques (semantic data, ontologies, taxonomies).
  • Experience in CI/CD implementations, git usage, CI/CD stacks (Jenkins, GitLab, Azure DevOps), DevOps tools, metrics/monitoring, and containerization technologies (Docker, Singularity).
  • Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning. Must have the capacity to translate discussions into user requirements and project plans.
  • Ability to manage numerous projects simultaneously, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value.
  • Willingness to conduct periodic travel (<15% of time) to conferences and internal meetings.

Location: Cambridge, MA; Raritan, NJ; San Diego, CA; Spring House, PA; Titusville, NJ. This position will be located on site at one of our campuses in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego, CA (NO fully remote option available). Occasional travel for cross‑functional workshops, design sessions, and team meetings may be required.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $117,000 to $201,250. The Company maintains highly competitive, performance‑based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long‑term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
Vacation – up to 120 hours per calendar year
Sick time – up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

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