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Remote Value Engineering Jobs in Hopkins, SC (NOW HIRING)

micro1 AI

Director of Biostatistics

Columbia, SC · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

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Remote Value Engineering information

See Hopkins, SC salary details

$30.2K

$58.5K

$88.6K

How much do remote value engineering jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote value engineering in Hopkins, SC is $58,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $66,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Value Engineer, you need a solid background in engineering or technical analysis, value management principles, and project management, often supported by a relevant degree and experience. Familiarity with value engineering methodologies, collaborative digital platforms, and tools like MS Project or specialized VE software is typically required. Exceptional problem-solving abilities, communication, and teamwork skills are vital for engaging stakeholders and driving cost-effective solutions remotely. These competencies ensure effective identification of value opportunities, seamless virtual collaboration, and successful project outcomes.

What is the difference between Remote Value Engineering vs Remote Cost Analyst?

AspectRemote Value EngineeringRemote Cost Analyst
Required CredentialsEngineering degree, certifications in value engineering or project managementFinance or accounting degree, certifications like CPA or CMA
Work EnvironmentCollaborates with engineering, procurement, and project teams remotelyAnalyzes financial data and costs remotely for budgeting and forecasting
Employer & Industry UsageUsed in manufacturing, construction, and engineering firmsCommon in finance, manufacturing, and corporate sectors

Remote Value Engineering focuses on optimizing project value through engineering analysis, while Remote Cost Analyst concentrates on analyzing and controlling costs. Both roles often work remotely and require analytical skills, but they serve different functions within organizations.

What is remote value engineering?

Remote value engineering refers to the process of optimizing projects, products, or systems for maximum value using virtual tools and collaboration, rather than working on-site. Value engineers analyze functions, costs, and performance remotely, identifying ways to improve quality while reducing unnecessary expenses. This approach leverages digital platforms for team meetings, data sharing, and project management, making value engineering accessible regardless of physical location. Remote value engineering is especially relevant for companies with distributed teams or projects in multiple geographic areas.

What are some common challenges faced by professionals in remote value engineering roles, and how can they be addressed?

Professionals in remote value engineering often face challenges such as coordinating effectively with cross-functional teams across different time zones and ensuring that communication remains clear without face-to-face meetings. To address these challenges, it's important to leverage collaboration tools, establish regular check-ins, and document project decisions thoroughly. Additionally, understanding the unique needs of each project and maintaining open lines of communication with stakeholders helps ensure that value engineering recommendations are implemented successfully. Building strong virtual relationships is key to navigating the remote environment.
What cities near Hopkins, SC are hiring for Remote Value Engineering jobs? Cities near Hopkins, SC with the most Remote Value Engineering job openings:
Remote Value Engineering jobs near you

Director of Biostatistics

micro1 AI

Columbia, SC • Remote

$60 - $65/hr

Part-time

Posted 8 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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