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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical leadership and project management within evidence synthesis, with a strong foundation in Bayesian statistics and programming in R. Capable of mentoring junior team members while ensuring high-quality deliverables and client engagement.
Highest-signal resume keywords
Master’s Degree in Statistics or Related Discipline5+ Years Experience as StatisticianBayesian Statistics ExpertiseProgramming Skills in RExperience in Evidence Synthesis Projects
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Bayesian StatisticsGeneralized Linear ModelsFeasibility AssessmentsDirect and Indirect Treatment ComparisonsPopulation-Adjustment TechniquesStatistical LeadershipProject ManagementScientific Writing
Soft Skills
Analytical SkillsProblem-Solving SkillsMentoring Skills
Tools & Technologies
RStanWinBUGSOpenBUGSJAGS
Industry Keywords
ConsultancyCROPharmaceuticalBiotechAcademia
About the role
Key responsibilities & impact- Lead day-to-day activities of multiple evidence synthesis projects with the support of junior team members
- Provide senior technical and statistical leadership and effective ad hoc problem-solving support
- Edit, review, and develop scripts to ensure accurate and efficient implementation
- Support project implementation including overall project management and client engagement
- Conceptualize evidence synthesis engagements in response to client request for proposals
- Mentor and coach junior statisticians and project delivery teams
Requirements
What you’ll need- Master’s degree in (medical) statistics, biostatistics, mathematics, epidemiology, public health, health economics or related discipline
- At least 5 years prior relevant experience working as a statistician in consultancy, CRO, pharmaceutical/biotech or academia (as post-graduate researcher)
- Strong quantitative skills and experience with Bayesian statistics, generalized linear models, feasibility assessments, direct and indirect treatment comparisons (ITCs), population-adjustment (MAIC, STC, ML-NMR)
- Strong programming skills in R and good command of Stan or WinBUGS/OpenBUGS/JAGS
- Experience developing tools or automating processes used in ITCs
- Excellent analytical and problem-solving skills
- Excellent scientific writing skills.
Benefits
Comp & perks- Health insurance
- Professional development
- Flexible work arrangements
- Mentoring
- Coaching
- Equipment allowances
