Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Lumanity

Senior Consultant, Real-World Evidence

Lumanity

. Manage assigned workstreams and projects from planning through delivery .

Posted 9/22/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Real-World Evidence (RWE) methodologies and data analysis, with a strong ability to manage projects and deliver high-quality client outputs. Proficient in engaging with stakeholders and contributing to thought leadership in the pharmaceutical and life sciences sectors.

Highest-signal resume keywords
Real-World Evidence MethodologiesProject ManagementData AnalysisClient EngagementAdvanced Degree in Life Sciences

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data LandscapingFeasibility AssessmentTreatment Pattern MappingComparative EffectivenessCost-of-Illness StudiesMicrosoft PowerPointMicrosoft ExcelMicrosoft WordDrug Utilization StudiesReal-World Safety Assessment
Soft Skills
Analytical SkillsWritten CommunicationVerbal CommunicationCoachingDelegation
Industry Keywords
Real-World DataPharmaceutical IndustryRegulatory RequirementsData PrivacyEvidentiary StandardsHealth EconomicsEpidemiologyLife SciencesStakeholder EngagementData Organizations

About the role

Key responsibilities & impact
  • Manage assigned workstreams and projects from planning through delivery
  • Conduct data landscaping, feasibility assessments, and integrated evidence generation plans
  • Develop client deliverables including PowerPoint presentations, Excel models, and project reports
  • Apply RWE methodologies including treatment pattern/patient journey mapping, drug utilization studies, comparative effectiveness, synthetic control arm work, outcomes research, cost-of-illness/burden-of-disease studies, and real-world safety assessment
  • Review and quality-check project outputs for accuracy and consistency before sign-off
  • Act as day-to-day client contact for assigned workstreams under project-lead direction
  • Manage and/or coach junior team members, delegate work, and oversee task-level progress and quality
  • Support engagement with existing and potential partners, including data organisations and research institutions
  • Contribute to thought leadership such as white papers, abstracts, posters, and manuscripts
  • Support clients in identifying and using real-world data and evidence for regulators, payers, clinicians, and other stakeholders

Requirements

What you’ll need
  • Advanced degree preferred in life sciences, epidemiology, health economics, or a related field
  • Approximately 4–7 years of relevant experience in RWE consulting and/or a related pharmaceutical/life sciences environment
  • Familiarity with real-world data sources in either the US or EU market, including claims, EHR, registry, or other RWD sources
  • Understanding of how real-world evidence is applied across the pharmaceutical industry for regulatory, payer, or clinical decision-making
  • Awareness of evolving regulatory and data-related requirements affecting RWE, including regulatory guidance, data privacy, and evidentiary standards
  • Ability to manage project tasks and workstreams
  • Strong numeracy and analytical skills
  • Proficiency in Microsoft Office suite: PowerPoint, Excel, and Word
  • Knowledge of the RWE industry, trends, and data landscape
  • Excellent written and verbal communication skills
  • No business development target, revenue quota, or existing/portable client pipeline required

Benefits

Comp & perks
  • Competitive salary
  • Attractive pension scheme
  • Positive working atmosphere with committed colleagues and an enthusiastic management team
  • Flexible working hours
  • Possibility to work partly from home
  • Opportunity to combine programming knowledge, passion for data, commercial craftsmanship and social involvement