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Remote Qt Software Engineer Jobs in Anchorage, AK

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 ...

Capable of remote site support for off-site personnel and customers. * Coordinates with project ... Collaborates with cross-functional teams, including software developers, systems engineers, and ...

Job Title: Project Engineer SOC code: 17-3022 FLSA Classification: Exempt Department/Location ... and remote field work. * Knowledge of and the ability to use a computer and software to record ...

You'll work on a wide variety of projects, using the latest technology, software, and state-of-the ... Ability to travel for field work in remote areas, sometimes in adverse conditions but always with ...

You'll work on a wide variety of projects, using the latest technology, software, and state-of-the ... Ability to occasionally travel for field work in remote areas throughout Alaska. Travel in other ...

Strong knowledge of structural codes, engineering practices, and multidisciplinary collaboration.Experience with computer-assisted design (CAD) software.Ability to work effectively in a remote, team ...

Experience with AutoCAD and Civil 3D, as well as other engineering software applications ... Hybrid or remote work possible for the right candidate Our Anchorage office also values a collegial ...

While this is a full remote position, there is preference for candidates located in the Northern ... Proficient software experience should include Easy Power, SKM Powertools, ETAP, Aspen, and EMTP.

Senior Project Manager

Anchorage, AK · On-site +1

$115K - $156K/yr

Coordinate engineering, procurement, construction, and commissioning activities. * Ensure ... Experience managing subcontractors in remote or rural environments. * Working knowledge of ...

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Remote Qt Software Engineer information

See Anchorage, AK salary details

$64.9K

$150.8K

$210K

How much do remote qt software engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote qt software engineer in Anchorage, AK is $150,766.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,600.00 and $176,800.00 per year, depending on experience, location, and employer.

What is the difference between Remote Qt Software Engineer vs Remote C++ Developer?

AspectRemote Qt Software EngineerRemote C++ Developer
Required CredentialsBachelor's in Computer Science, Qt framework experienceBachelor's in Computer Science, C++ proficiency
Work EnvironmentRemote, collaborative teams developing GUI applicationsRemote, software development across various applications
Industry UsageEmbedded systems, desktop applications, UI developmentSystem software, application development, embedded systems

Remote Qt Software Engineers focus on developing cross-platform GUI applications using the Qt framework, often in embedded or desktop environments. Remote C++ Developers work on a broader range of software projects utilizing C++, including system and application software. While both roles require C++ skills, Qt expertise is specific to the Qt role, making it more specialized for UI and cross-platform development.

Infographic showing various Remote Qt Software Engineer job openings in Anchorage, AK as of June 2026, with employment types broken down into 6% Internship, and 94% Full Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $150,766 per year, or $72.5 per hour.

Bioinformatics Software Engineer

Anchorage, AK • Remote

micro1 AI
Software Development • 11 - 50 employees

$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.