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Remote Power System Study Engineer Jobs in Anchorage, AK

micro1 AI

Biostatistician

Anchorage, AK · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

micro1 AI

Medical Writing Manager

Anchorage, AK · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

micro1 AI

Medical Billing Specialist

Anchorage, AK · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ...

Aleut Energy LLC

Senior Project Manager

Anchorage, AK · On-site +1

$115K - $156K/yr

Coordinate engineering, procurement, construction, and commissioning activities. * Ensure ... remote or rural environments. * Working knowledge of renewable energy systems, electrical ...

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All JobsPower System Study Engineer JobsRemote Power System Study Engineer JobsRemote Power System Study Engineer Jobs in Anchorage, AK

Remote Power System Study Engineer information

See Anchorage, AK salary details

$57.2K

$120.3K

$183.4K

How much do remote power system study engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote power system study engineer in Anchorage, AK is $120,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $136,900.00 per year, depending on experience, location, and employer.

What does a remote power system study engineer do?

A Remote Power System Study Engineer is responsible for analyzing and evaluating electrical power systems from a remote location. Their work involves performing studies such as load flow, short circuit, arc flash, and stability assessments to ensure the reliable and safe operation of power systems. They use specialized software to model electrical networks and identify potential issues or improvements. By working remotely, they collaborate with clients and teams through digital tools to deliver technical reports and solutions for projects in industries like utilities, manufacturing, and renewable energy.

What are the key skills and qualifications needed to thrive as a remote power system study engineer?

To thrive as a Remote Power System Study Engineer, you need a solid background in electrical engineering, power systems analysis, and a relevant engineering degree, often with a Professional Engineer (PE) license. Familiarity with specialized software such as PSS®E, ETAP, or DIgSILENT PowerFactory, and experience interpreting grid codes and standards, is typically required. Strong analytical thinking, effective communication, and the ability to collaborate remotely with cross-functional teams are essential soft skills. These competencies ensure accurate system studies, compliance with industry regulations, and efficient problem-solving for reliable power system operations.

How does a remote power system study engineer typically collaborate with utilities and project teams while working offsite?

As a Remote Power System Study Engineer, collaboration is primarily achieved through virtual meetings, shared technical documentation, and cloud-based modeling tools. You'll regularly interact with utility clients, project managers, and fellow engineers to discuss study requirements, review system models, and present findings. Effective communication and proactive scheduling are essential to ensure alignment on project goals and timely delivery of analyses, especially when working across different time zones. Building strong remote relationships and being adaptable with digital collaboration platforms are key to success in this environment.

What is the difference between Remote Power System Study Engineer vs Power Systems Analyst?

AspectRemote Power System Study EngineerPower Systems Analyst
CredentialsBachelor's or Master's in Electrical Engineering, relevant certifications (e.g., PE)Bachelor's or Master's in Electrical Engineering or related field, certifications optional
Work EnvironmentRemote or on-site, focused on power system studies and simulationsPrimarily office-based, analyzing power system data and performance
Industry UsageUtility companies, consulting firms, energy sectorUtilities, consulting, energy companies, research institutions

The Remote Power System Study Engineer primarily conducts detailed power system studies, simulations, and analysis to ensure grid stability and reliability. In contrast, the Power Systems Analyst focuses on analyzing existing power system data, performance metrics, and supporting decision-making. Both roles require electrical engineering credentials and often work within similar industries, but their core responsibilities differ in scope and focus.

What are popular job titles related to Remote Power System Study Engineer jobs in Anchorage, AK?

For Remote Power System Study Engineer jobs in Anchorage, AK, the most frequently searched job titles are:

What job categories do people searching Remote Power System Study Engineer jobs in Anchorage, AK look for?

The top searched job categories for Remote Power System Study Engineer jobs in Anchorage, AK are:

Remote Power System Study Engineer jobs near you
Infographic showing various Remote Power System Study Engineer job openings in Anchorage, AK as of June 2026, with employment types broken down into 79% Full Time, 12% Part Time, 3% Temporary, and 6% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $120,288 per year, or $57.8 per hour.

Biostatistician

micro1 AI

Anchorage, AK • Remote

$60 - $65/hr

Part-time

Posted 17 days ago

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. 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. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.

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