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Remote Staff Software Engineer Java Jobs in Norfolk, VA

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 ...

Data Engineer - Remote

Virginia Beach, VA · On-site +1

$108K - $130K/yr

Sentara is hiring a Data Engineer! This is a fully remote position. Work Location: Remote opportunities available in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas ...

Systems Engineer

Hampton, VA · Remote

$80K - $120K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is looking for a Data Integrity ... The candidate must be able to effectively interface with software developers and have a good ...

Systems Engineer

Hampton, VA · Remote

$80K - $120K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is looking for a Data Integrity ... The candidate must be able to effectively interface with software developers and have a good ...

Fire Protection Engineer (Remote or Hybrid)

Hampton, VA · On-site +1

$80K - $108K/yr

... software and proprietary manufacturer software. * Gather information to support design decisions ... Perform other duties as assigned by senior engineering staff. * Responsible for all fire protection ...

Data Scientist

Suffolk, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0245322 Location: Suffolk,VA,US Share job via: Share Data ... Experience with software development or engineering, including in an academic or professional ...

Showing results 21-40

Remote Staff Software Engineer Java information

See Norfolk, VA salary details

$58.5K

$155.9K

$212.9K

How much do remote staff software engineer java jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote staff software engineer java in Norfolk, VA is $155,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,100.00 and $184,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Staff Software Engineer Java vs Remote Software Engineer Java?

AspectRemote Staff Software Engineer JavaRemote Software Engineer Java
Required CredentialsBachelor's/Master's in CS or related, extensive Java experience, possibly certificationsBachelor's in CS or related, solid Java skills, entry to mid-level experience
Work EnvironmentSenior-level projects, leadership roles, cross-team collaborationProject execution, coding, debugging, team collaboration
Employer & Industry UsageTech companies, enterprise solutions, consulting firmsStartups, tech firms, software development agencies

The main difference is that Remote Staff Software Engineer Java typically involves senior responsibilities, leadership, and strategic project involvement, while Remote Software Engineer Java focuses on coding and project execution at an entry to mid-level. Both roles require strong Java skills and are common in tech industries, but the staff level emphasizes experience and leadership.

What are popular job titles related to Remote Staff Software Engineer Java jobs in Norfolk, VA?

For Remote Staff Software Engineer Java jobs in Norfolk, VA, the most frequently searched job titles are:

What job categories do people searching Remote Staff Software Engineer Java jobs in Norfolk, VA look for?

The top searched job categories for Remote Staff Software Engineer Java jobs in Norfolk, VA are:

What cities near Norfolk, VA are hiring for Remote Staff Software Engineer Java jobs?

Cities near Norfolk, VA with the most Remote Staff Software Engineer Java job openings:

Bioinformatics Software Engineer

micro1 AI

Virginia Beach, VA • Remote

$80 - $110/hr

Part-time

Posted 17 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.