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Part Time Remote Risk Management Jobs in Richmond, VA

Remote micro1 is engaging Clinician (Oncology / Hematology)s to contribute to a customer's project ... Evaluate benefit-risk reasoning, scrutinizing the durability of conclusions in light of new events ...

Remote micro1 is engaging Clinician (Oncology / Hematology)s to contribute to a customer's project ... Evaluate benefit-risk reasoning, scrutinizing the durability of conclusions in light of new events ...

Showing results 21-31

Part Time Remote Risk Management information

See Richmond, VA salary details

$51K

$110.4K

$168.2K

How much do part time remote risk management jobs pay per year?

As of Aug 11, 2026, the average yearly pay for part time remote risk management in Richmond, VA is $110,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $127,700.00 per year, depending on experience, location, and employer.

What challenges do part time remote risk management professionals face?

Part-time remote risk management professionals often face challenges such as maintaining effective communication with full-time team members, staying updated on rapidly changing risk factors, and managing their workload efficiently within limited hours. To address these challenges, it's important to establish regular check-ins with team members, leverage collaborative tools for real-time updates, and prioritize tasks based on business impact. Developing strong organizational skills and proactively seeking clarity on expectations can help ensure that key risk areas are monitored and addressed, even when working remotely and part-time.

What is a part time remote risk management?

A Part Time Remote Risk Management job involves identifying, analyzing, and mitigating potential risks that could impact an organization, but with reduced hours and the flexibility to work from home or any location with internet access. Responsibilities typically include assessing financial, operational, or compliance risks, developing risk mitigation strategies, and preparing reports for management. These positions are ideal for individuals seeking flexible schedules, such as students, parents, or professionals looking for supplemental income, while still contributing to a company’s risk management efforts.

What skills and qualifications are needed for part time remote risk management?

To thrive as a Part Time Remote Risk Management professional, you need strong analytical skills, knowledge of risk assessment methodologies, and typically a degree in finance, business, or a related field. Familiarity with risk management software, data analysis tools like Excel, and relevant certifications such as FRM or CRM are often required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for success in a remote setting. These skills and qualities ensure accurate risk identification, effective mitigation strategies, and seamless collaboration despite working remotely.
What are the most commonly searched types of Remote Risk Management jobs in Richmond, VA? The most popular types of Remote Risk Management jobs in Richmond, VA are:
What cities near Richmond, VA are hiring for Part Time Remote Risk Management jobs? Cities near Richmond, VA with the most Part Time Remote Risk Management job openings:
Infographic showing various Part Time Remote Risk Management job openings in Richmond, VA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $110,399 per year, or $53.1 per hour.

Clinician (Oncology / Hematology)

micro1 AI

Richmond, VA • Remote

$160 - $200/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Role Title: Clinician (Oncology / Hematology)


Role Type: Contractor


Location: Remote


micro1 is engaging Clinician (Oncology / Hematology)s to contribute to a customer’s project at the forefront of AI in healthcare. 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 nuanced clinical judgment, leveraging Clinical Study Reports, periodic safety reports, and regulatory correspondence in oncology and haematology.
  2. Assess the clinical defensibility of efficacy and safety conclusions, ensuring endpoints and effect sizes reflect true clinical significance.
  3. Apply advanced judgment to dose escalation, dose-limiting toxicity, modifications, adverse event grading and attribution, and the coherence of patient narratives.
  4. Evaluate benefit-risk reasoning, scrutinizing the durability of conclusions in light of new events, and the realism of described management strategies.
  5. Identify and flag content that is clinically implausible or internally inconsistent, distinguishing these from legitimate clinical variation.
  6. Provide structured, guideline-based written rationales that clearly explain the validity or limitations of clinical interpretations for a non-clinical audience.


Preferred Qualifications

  1. Specialist registration or board certification in medical oncology and/or haematology, with 5+ years of post-training clinical experience.
  2. Direct involvement in clinical trials as investigator, sub-investigator, or sponsor-side medical monitor, safety physician, or clinical development physician.
  3. Proficiency with CTCAE grading, relevant response criteria (RECIST, Lugano, IMWG, IWCLL, ELN), and outcome endpoints (ORR, DoR, PFS, OS, MRD).
  4. Hands-on experience with trial documents such as protocols, investigator brochures, CSRs, safety narratives, or DSMB/IDMC materials.
  5. Demonstrated excellence in written communication, with clear, structured explanations of clinical reasoning tailored for non-clinical readers.
  6. Previous roles in medical monitoring or as medical director on oncology or haematology programmes, and committee participation (IDMC, DSMB, adjudication, or independent review committees).
  7. Peer-reviewed publication record or authorship on clinical trial manuscripts, with any exposure to AI-assisted clinical review tools seen as a plus.