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Remote Python Data Analysis Jobs in Anchorage, AK

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Remote Python Data Analysis information

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How much do remote python data analysis jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote python data analysis in Anchorage, AK is $59.91, according to ZipRecruiter salary data. Most workers in this role earn between $49.38 and $68.03 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Python Data Analysis jobs in Anchorage, AK? The most popular types of Python Data Analysis jobs in Anchorage, AK are:
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What cities near Anchorage, AK are hiring for Remote Python Data Analysis jobs? Cities near Anchorage, AK with the most Remote Python Data Analysis job openings:
Infographic showing various Remote Python Data Analysis job openings in Anchorage, AK as of August 2026, with employment types broken down into 45% Full Time, 11% Part Time, 11% Temporary, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,612 per year, or $59.9 per hour.

Pharmacovigilance Expert

micro1 AI

Anchorage, AK • Remote

$70 - $80/hr

Part-time

Posted 5 days ago


Job description

Role Title: Pharmacovigilance Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety expertise on a key customer project. 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. This opportunity is ideal for professionals experienced in authoring and reviewing complex safety reports, passionate about data quality, and committed to clear written and verbal communication.


Scope of Work

  1. Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and case-level records.
  2. Apply expert judgment to assess the accuracy and adequacy of interval safety findings, signal evaluations, and benefit-risk conclusions in alignment with best practices.
  3. Assess template and structural conformity to ICH E2F and ICH E2C requirements, including proper section content, presentation of cumulative versus interval data, and completeness of appendices.
  4. Reconcile figures and case counts across report sections and data sources, identifying and documenting discrepancies significant for regulatory review.
  5. Evaluate safety conclusions in light of new data or events, and provide clear, structured written rationales supporting your determinations.
  6. Deliver structured feedback to inform the development of AI-driven tools for pharmacovigilance documentation and analysis.


Preferred Qualifications

  1. 5+ years of pharmacovigilance or drug safety experience at a sponsor, CRO, or as an independent consultant.
  2. Demonstrated proficiency in authoring or reviewing DSURs and/or PSURs/PBRERs from start to finish.
  3. Working fluency with ICH E2F, ICH E2C(R2), and GVP guidelines, including signal management and benefit-risk assessment methodology.
  4. Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness determination, and aggregate safety data analysis.
  5. Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level information.
  6. Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent).
  7. Experience in both development-stage and post-marketing safety reporting, QPPV or deputy QPPV roles, safety committee participation, or AI-assisted safety review tools is a plus.