$70–80/hr · micro1
You teach AI models to reason like a drug safety expert by reviewing safety reports, assessing regulatory compliance, and defining what correctness looks like in pharmacovigilance analysis.
What you would do
- Author evaluation tasks and golden solutions based on real DSURs, PSURs, and PBRERs reflecting professional safety analysis
- Review model outputs and safety reports for reasoning quality against regulatory standards
- Reconcile safety data across sections, databases, and records, flagging inconsistencies
- Evaluate signal findings and benefit-risk conclusions against underlying data
- Provide clear written rationales explaining safety determinations to research teams
Who they want
- 5+ years authoring and reviewing DSURs, PSURs, PBRERs at sponsor, CRO, or independent consulting
- Practical expertise applying ICH E2F, ICH E2C(R2), and GVP frameworks with emphasis on signal management methodologies
- Hands-on expertise in MedDRA coding, causality assessment, and aggregate safety analysis
- Demonstrated ability to reconcile aggregate and case-level safety data for inconsistencies
- Advanced degree in pharmacy, medicine, or life sciences (PharmD, MD, MSc, or equivalent)
Main skills
What the interview asks about
1.Identifying flawed safety reasoning
Surface-level compliance is easy; catching thin reasoning, unsupported conclusions, and missed signals requires deep domain judgment.
For example: “PSUR: no new signal despite 40% increase in SAEs in subgroup, arguing it's expected from market expansion. Evaluate reasoning. What flags as inadequate?”
2.Data reconciliation and discrepancy significance
Safety reports pull data from multiple sources; reconciling figures catches errors and exposes where data systems disagree.
For example: “DSUR safety summary: 150 serious events. Case listings + coding database: 165 events. Investigate the gap. Explain discrepancy. When flag for regulatory significance?”
3.MedDRA precision and causality judgment
Miscoding changes the signal landscape; your judgment on what's serious, expected, and causal steers both analysis and regulatory reporting.
For example: “Case 1: coded 'nausea' but narrative is severe vomiting/hospitalization. Case 2: coded 'serious GI disorder' but self-limited indigestion. Handle in review. Loop QPPV?”
4.Benefit-risk synthesis and communication
Benefit-risk is inherently subjective; you must articulate the logic clearly enough for a model to learn and a researcher to evaluate.
For example: “Drug: modest efficacy, small increased serious risk (manageable). Earlier report downplayed; new PSUR re-evaluates. Structure conclusion acknowledging both. Teach model reasoning.”
5.Regulatory standards and their application
ICH guidelines are detailed and sometimes ambiguous; your judgment on how to interpret and apply them is what makes a compliant, defensible report.
For example: “ICH E2C(R2): cumulative safety data by exposure time. Model PSUR: presents by region. Violation, choice, or missed requirement? Assess and communicate impact.”
A task you may get
Write golden solution for pharmacovigilance scenario (DSUR/signal): regulatory framework, expected data, safety reasoning, presentation to researchers and regulators.
How to prepare
- Review a recent DSUR or PSUR in your domain and identify the key safety reasoning steps, decisions, and potential judgment calls
- Study a complex signal from your specialty area: how was it evaluated, what data drove the conclusion, what reasoning did you find compelling or weak?
- Prepare a concrete example of a safety data reconciliation challenge you've solved: what systems disagreed, what explained the gap, and how did you document it?
- Reflect on how you'd teach non-pharmacovigilance researchers the key concepts in ICH E2C(R2) benefit-risk assessment
The facts
- Pay
- $70–80/hr
- Open to
- Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia
- Field
- Medicine
- Role type
- Specialist
- Posted
- 8/4/2026
- Places left
- 40
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