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Part Time Knowledge Graph Software Engineer Jobs in Minneapolis, MN

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology ...

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work * Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology ...

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture ... graph traversal, memory management, and software design patterns while preparing students for ...

Senior Engineer, In-Home Services

Richfield, MN · On-site +1

$108K - $148K/yr

... a Software Engineer or Software Developer * 2+ years of experience building event driven ... Paid time off (vacation or PTO) is offered to full-time and part-time employees based on work ...

Software Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Deep knowledge of software development methodologies, programming languages, version control, software architecture, testing strategies, debugging, database design, API development, and deployment ...

Software Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Deep knowledge of software development methodologies, programming languages, version control, software architecture, testing strategies, debugging, database design, API development, and deployment ...

Software Tutor

Edina, MN · Remote

$18 - $40/hr

Deep knowledge of software development methodologies, programming languages, version control, software architecture, testing strategies, debugging, database design, API development, and deployment ...

Discrete Math Tutor

Edina, MN · Remote

$18 - $40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Adapts instruction using truth tables, Venn diagrams, visual graph representations, and programming ...

Discrete Math Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Adapts instruction using truth tables, Venn diagrams, visual graph representations, and programming ...

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Adapts instruction using truth tables, Venn diagrams, visual graph representations, and programming ...

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Part Time Knowledge Graph Software Engineer information

See Minneapolis, MN salary details

$66.3K

$154K

$214.5K

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

As of Aug 25, 2026, the average yearly pay for part time knowledge graph software engineer in Minneapolis, MN is $153,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $180,600.00 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.

Bioinformatics Software Engineer

Minneapolis, MN • Remote

micro1 AI
Software Development • 11 - 50 employees

$80 - $110/hr

Part-time

Posted 22 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.