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Remote Quantum Software Engineer Jobs in Oklahoma

micro1 AI

Bioinformatics Software Engineer

Edmond, OK · Remote

$80 - $110/hr

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 ...

ONEOK, Inc

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site +1

$104K - $125K/yr

The schedule is Hybrid, working from the Tulsa office Monday-Thursday and working remote on Friday ... Experience in use and function of office equipment such as computers and applicable software ...

Qode

Senior Full Stack .NET Developer

Oklahoma City, OK · On-site +1

Remote opportunity within Oklahom . Occasional onsite meetings may be required. Travel expenses ... Knowledge of Agile software development methodologies and secure coding practices. * Experience ...

Zones

SAP Integration Engineer

Tulsa, OK · Remote

$90 - $120/hr

Term: 6-month Contract to hire Location: 100% remote with lite travel into Tulsa, OK Pay: $90-$120 ... M-F 9-5 We are seeking an experienced SAP Integration Engineer with deep expertise in Teamcenter ...

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Remote Quantum Software Engineer information

What is a remote quantum software engineer?

Remote Quantum Software Engineers are professionals who develop, test, and optimize software for quantum computers while working outside of a traditional office environment. They use their knowledge of quantum mechanics, computer science, and programming languages (such as Qiskit or Cirq) to create algorithms and applications that run on quantum hardware or simulators. These engineers collaborate with teams remotely, contributing to advancements in quantum computing, cryptography, and other cutting-edge fields. Their work often involves research, simulation, and integration of quantum solutions with classical computing systems.

What are the key skills and qualifications needed to thrive as a remote quantum software engineer?

To thrive as a Remote Quantum Software Engineer, you need strong knowledge of quantum mechanics, computer science fundamentals, and proficiency in programming languages like Python, as well as a relevant degree in physics, computer science, or engineering. Familiarity with quantum computing frameworks such as Qiskit, Cirq, or Q# and experience using cloud-based quantum platforms are typically required. Excellent problem-solving abilities, clear communication, and self-motivation are crucial soft skills for collaborating remotely and advancing complex projects. These skills and qualities are essential for developing efficient quantum algorithms and effectively contributing to distributed teams in a cutting-edge, rapidly evolving field.

How do remote quantum software engineers typically collaborate with research and development teams across different time zones?

Remote Quantum Software Engineers often work closely with multidisciplinary teams, including physicists, algorithm developers, and hardware engineers. Collaboration is usually facilitated through digital communication tools like Slack, GitHub, and video conferencing, enabling team members to share code, research findings, and project updates asynchronously. Adapting to varying time zones may require flexibility with meeting schedules and clear documentation practices to ensure smooth handoffs and project continuity. This structure supports effective teamwork while allowing engineers to contribute from anywhere in the world.

What is the difference between Remote Quantum Software Engineer vs Quantum Software Developer?

AspectRemote Quantum Software EngineerQuantum Software Developer
Required CredentialsDegree in Computer Science, Physics, or related field; knowledge of quantum algorithmsSimilar credentials; often includes programming and physics background
Work EnvironmentRemote, collaborative teams, often in tech or research companiesRemote or on-site, primarily in research labs or tech firms
Industry UsageTech companies, startups, research institutionsResearch labs, tech firms, academia
Common Search/ComparisonYesYes

The main difference is that Remote Quantum Software Engineers typically focus on developing and implementing quantum algorithms remotely within tech or research teams, while Quantum Software Developers may be more involved in research or academic projects. Both roles require similar skills and credentials, but their work environments and industry applications can vary slightly.

How much does a remote quantum software engineer make?

Remote quantum software engineers typically earn between $100,000 and $150,000 annually, depending on experience, education, and the complexity of projects. Senior roles or those with specialized skills in quantum algorithms and programming languages like Qiskit or Cirq may offer higher salaries. Compensation can also vary based on the company's size and industry focus on quantum computing research or development.

What are the most commonly searched types of Quantum Software Engineer jobs in Oklahoma?

The most popular types of Quantum Software Engineer jobs in Oklahoma are:

What are popular job titles related to Remote Quantum Software Engineer jobs in Oklahoma?

For Remote Quantum Software Engineer jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Remote Quantum Software Engineer jobs in Oklahoma look for?

The top searched job categories for Remote Quantum Software Engineer jobs in Oklahoma are:

What cities in Oklahoma are hiring for Remote Quantum Software Engineer jobs?

Cities in Oklahoma with the most Remote Quantum Software Engineer job openings:

Remote Quantum Software Engineer jobs near you

Bioinformatics Software Engineer

micro1 AI

Edmond, OK • Remote

$80 - $110/hr

Part-time

Posted 20 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.

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