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Remote Nuclear Design Engineer Jobs in Bryan, TX

Remote Nuclear Design Engineer information

See Bryan, TX salary details

$57

$78

$93

How much do remote nuclear design engineer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote nuclear design engineer in Bryan, TX is $78.47, according to ZipRecruiter salary data. Most workers in this role earn between $76.25 and $86.44 per hour, depending on experience, location, and employer.

What is a remote nuclear design engineer?

Remote nuclear design engineers are professionals who design and analyze systems, components, and processes for nuclear power plants or related facilities while working from a location outside of the traditional office or plant environment. They use specialized engineering software and collaborate with teams using digital communication tools to ensure the safety, efficiency, and regulatory compliance of nuclear projects. This role typically requires a strong background in nuclear engineering, mechanical engineering, or a related field, as well as experience with industry standards and codes. Remote nuclear design engineers may work for private engineering firms, government agencies, or nuclear facility operators.

What are the key skills and qualifications needed to thrive as a remote nuclear design engineer?

To thrive as a Remote Nuclear Design Engineer, you need a strong background in nuclear engineering principles, advanced mathematics, and a relevant engineering degree, often complemented by a Professional Engineer (PE) license. Familiarity with industry-standard CAD software, simulation tools like MCNP or SCALE, and nuclear safety codes is essential. Exceptional problem-solving, communication, and teamwork skills are crucial for collaborating remotely and managing complex design challenges. These competencies ensure the safe, efficient, and regulatory-compliant development of nuclear systems from a distance.

How do remote nuclear design engineers typically collaborate with onsite teams to ensure project alignment and safety standards?

Remote Nuclear Design Engineers often use a combination of secure digital platforms, regular video conferences, and collaborative engineering tools to stay closely connected with onsite teams. They participate in scheduled meetings to discuss design progress, safety considerations, and regulatory compliance, ensuring that all stakeholders are aligned. Effective documentation and communication are crucial, as remote engineers must provide clear design instructions and respond promptly to onsite feedback. This structure helps maintain high safety standards and project efficiency despite physical distance.

What are popular job titles related to Remote Nuclear Design Engineer jobs in Bryan, TX?

For Remote Nuclear Design Engineer jobs in Bryan, TX, the most frequently searched job titles are:

What cities near Bryan, TX are hiring for Remote Nuclear Design Engineer jobs?

Cities near Bryan, TX with the most Remote Nuclear Design Engineer job openings:

Bioinformatics Software Engineer

micro1 AI

College Station, TX • Remote

$80 - $110/hr

Part-time

Posted 24 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.