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Remote Director Of Engineering Jobs in Nevada (NOW HIRING)

micro1 AI

Director of Biostatistics

Henderson, NV · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or ...

New

micro1 AI

Director of Biostatistics

Reno, NV · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or ...

New

micro1 AI

Director of Biostatistics

Sparks, NV · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or ...

New

micro1 AI

Director of Biostatistics

North Las Vegas, NV · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or ...

New

micro1 AI

Director of Biostatistics

Las Vegas, NV · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Scope of Work * Author and review evaluation tasks that require deriving, reproducing, or ...

New

SQA Services

Audit Service Delivery Lead

Las Vegas, NV · Remote

$55K - $70K/yr

... Engineering Supplier Development. This occurs in the form of managed programs at their suppliers ... This role operates under the direction of the Director of Operations and serves as the primary ...

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Remote Director Of Engineering information

What does a remote director of engineering do?

A Remote Director of Engineering leads and manages engineering teams from a remote location, overseeing all aspects of software development or technical projects. They are responsible for setting engineering goals, mentoring team members, ensuring project deadlines are met, and collaborating with other departments. This role often involves making high-level technical decisions, managing budgets, and implementing best practices to drive innovation and efficiency in a distributed work environment.

How does a remote director of engineering effectively manage and support distributed engineering teams?

A Remote Director of Engineering typically leverages a combination of structured communication methods, regular one-on-ones, and collaborative tools to ensure alignment and support for distributed teams. They focus on fostering a strong team culture despite geographic distances, setting clear expectations, and providing mentorship and feedback remotely. Additionally, they often coordinate closely with product, design, and other departments to keep projects on track and ensure seamless cross-functional collaboration. Building trust and maintaining transparency are key to addressing challenges unique to remote environments.

What are the key skills and qualifications needed to thrive as a remote director of engineering, and why are they important?

To thrive as a Remote Director Of Engineering, you need advanced technical expertise in software development, proven engineering leadership experience, and a relevant degree in computer science or engineering. Familiarity with cloud platforms, project management tools (like Jira or Asana), and Agile methodologies, as well as experience with code review and CI/CD systems, is typically required. Outstanding communication, strategic thinking, and the ability to motivate and manage distributed teams set exceptional leaders apart. These skills are critical for driving technical excellence, aligning engineering goals with business objectives, and ensuring high performance in a remote environment.

What is the difference between Remote Director Of Engineering vs Remote Engineering Manager?

AspectRemote Director Of EngineeringRemote Engineering Manager
ResponsibilitiesOversees multiple teams, sets strategic technical direction, manages senior engineersManages a specific engineering team, focuses on project delivery and team performance
Required CredentialsTypically requires a bachelor's or master's in engineering or related field, extensive experienceUsually requires a bachelor's degree, relevant experience, and technical expertise
Work EnvironmentStrategic leadership, cross-team coordination, high-level decision makingTeam management, project oversight, technical problem-solving

The main difference between a Remote Director Of Engineering and a Remote Engineering Manager lies in scope and strategic involvement. The director focuses on overarching technical strategies and multiple teams, while the manager concentrates on day-to-day team management and project execution. Both roles require technical background and leadership skills, but the director's role is more strategic and organization-wide.

What are popular job titles related to Remote Director Of Engineering jobs in Nevada? For Remote Director Of Engineering jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Director Of Engineering jobs in Nevada look for? The top searched job categories for Remote Director Of Engineering jobs in Nevada are:
What cities in Nevada are hiring for Remote Director Of Engineering jobs? Cities in Nevada with the most Remote Director Of Engineering job openings:
Remote Director Of Engineering jobs near you
Infographic showing various Remote Director Of Engineering job openings in Nevada as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 5% In-person, and 95% Remote job distribution.

Director of Biostatistics

micro1 AI

Henderson, NV • Remote

$60 - $65/hr

Part-time

Posted 3 days ago

New

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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