Researcher, Abu Raddad Lab

Cornell University

. Independently performs moderate to complex mathematical modelling and epidemiological analyses .

Posted 10/27/2026full-timeDoha • QatarMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in mathematical modelling and epidemiological analysis, with proficiency in programming languages such as Python and R. Capable of designing and conducting research studies, performing statistical analyses, and preparing clear scientific reports and visualizations.

Highest-signal resume keywords

Mathematical ModellingEpidemiological AnalysisStatistical AnalysisProgramming in Python or RData Manipulation and Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Mathematical ModellingEpidemiological AnalysisStatistical AnalysisData CleaningSensitivity AnalysisUncertainty AnalysisModel CalibrationReproducible Research PracticesResearch DesignEvidence Synthesis

Soft Skills

Strong Organizational SkillsAbility to Multi-taskTeam CollaborationIndependent WorkClear Communication

Tools & Technologies

PythonRMATLABMathematicaMicrosoft Office Suite

Industry Keywords

EpidemiologyPublic HealthHealthcare ResearchQuantitative DisciplineResearch Studies

Tech Stack

Tools & technologies

PythonC++

About the role

Key responsibilities & impact

Independently performs moderate to complex mathematical modelling and epidemiological analyses
Interprets results and supports the design and dissemination of research studies under the guidance of the Principal Investigator
Assists with the design of epidemiological studies and translates research questions into mathematical modelling and analytical approaches
Designs, codes and runs deterministic, stochastic compartmental and individual-based models describing disease dynamics and intervention impacts
Conducts literature reviews, evidence synthesis, meta-analyses and statistical analyses
Cleans, links, manipulates and analyzes data; assesses data quality and documents limitations and analytical decisions
Performs sensitivity, uncertainty and scenario analyses and interprets findings
Maintains reproducible code, model documentation, analysis records, results and visualizations
Contributes to analytical standards, procedures, quality checks and continuous improvement
Contributes to research plans, grant applications, manuscripts, reports and presentations
Contributes to the development and maintenance of modelling and standard operating procedures
Performs other duties as assigned

Requirements

What you’ll need

Bachelor's degree in mathematics, statistics, epidemiology, public health, computer science, data science, or a related quantitative discipline
3 - 5 years of relevant experience
Prior experience in a healthcare or epidemiological research setting is desirable
Working knowledge of mathematical modelling, epidemiology, statistical analysis and research design
Proficiency in one or more relevant programming languages or modelling platforms, such as Python, R, MATLAB, Mathematica, C or C++
Knowledge of model calibration, sensitivity analysis, uncertainty analysis, validation principles and reproducible research practices
Ability to prepare clear scientific reports, visualizations, manuscripts and presentations
Ability to work independently and as a part of a team
Strong organizational skills and ability to multi-task
Proficiency in Microsoft Office Suites including Word, Excel, PowerPoint and Outlook

Benefits

Comp & perks

Equal Employment Opportunity/Minorities/Females/Vet/Disabled employer