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Remote Endpoint Engineer Jobs in Bend, OR (NOW HIRING)

Director of Biostatistics

Bend, OR · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... endpoint expertise, and exposure to AI-assisted statistical review tools.

Remote Endpoint Engineer information

See Bend, OR salary details

$40.1K

$122.2K

$202K

How much do remote endpoint engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote endpoint engineer in Bend, OR is $122,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $159,800.00 per year, depending on experience, location, and employer.

What are typical challenges remote endpoint engineers face when managing devices across distributed teams?

Remote Endpoint Engineers often encounter challenges such as ensuring consistent device security, managing software updates, and troubleshooting issues across diverse networks and geographic locations. They must adapt to varying user environments and handle communication delays or limited physical access to devices. Close collaboration with IT support, security teams, and end-users is essential to maintain compliance and system integrity while minimizing downtime.

What skills and qualifications are needed to thrive as a remote endpoint engineer?

To thrive as a Remote Endpoint Engineer, you need expertise in endpoint management, cybersecurity principles, and troubleshooting, often supported by a degree in IT or computer science. Familiarity with tools like Microsoft Intune, SCCM, and antivirus platforms, as well as certifications such as CompTIA Security+ or Microsoft Certified: Modern Desktop Administrator Associate, is highly valued. Strong analytical thinking, attention to detail, and effective remote communication skills help you excel in diagnosing and resolving issues across distributed environments. These skills and qualities are crucial for ensuring secure, efficient, and reliable endpoint operations in organizations with remote or hybrid workforces.

What is the difference between Remote Endpoint Engineer vs Remote Network Engineer?

AspectRemote Endpoint EngineerRemote Network Engineer
CertificationsCompTIA A+, Network+, Cisco CCNACCNA, CCNP, CompTIA Network+
Work EnvironmentEnd-user devices, endpoint security, troubleshooting hardware/softwareNetwork infrastructure, routers, switches, VPNs
Industry UsageIT support, cybersecurity, device managementNetwork design, implementation, and maintenance
Search/Comparison IntentFocus on endpoint device management and securityFocus on network infrastructure and connectivity

The Remote Endpoint Engineer primarily manages end-user devices, troubleshooting hardware and software issues, and ensuring endpoint security. In contrast, the Remote Network Engineer focuses on network infrastructure, including routers, switches, and VPNs, to maintain connectivity. Both roles require technical certifications like Cisco CCNA, but they serve different aspects of IT infrastructure. Understanding these differences helps employers and job seekers target the right skills and responsibilities for each position.

What is a remote endpoint engineer?

A Remote Endpoint Engineer is an IT professional responsible for managing, securing, and supporting endpoint devices such as laptops, desktops, and mobile devices from a remote location. They ensure that all endpoints are up-to-date, compliant with company policies, and protected against security threats. This role often involves using tools for remote monitoring, software deployment, troubleshooting, and patch management. Remote Endpoint Engineers play a critical role in enabling secure and efficient remote work environments for organizations.
What cities near Bend, OR are hiring for Remote Endpoint Engineer jobs? Cities near Bend, OR with the most Remote Endpoint Engineer job openings:

Director of Biostatistics

micro1 AI

Bend, OR • Remote

$60 - $65/hr

Part-time

Posted 5 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.