Researcher (Abu Raddad Lab)

Weill Cornell Medicine; Doha; On-site; QAR 180,000 - 240,000; Full time

Job summary

Weill Cornell Medicine-Qatar is seeking a quantitative epidemiologist to design and conduct advanced mathematical modelling and epidemiological analyses under PI guidance. Responsibilities include translating research questions into modelling approaches and developing disease dynamics models.

The role requires proficiency in programming and statistical methods, data cleaning, and reproducible research practices, with collaboration across a multidisciplinary team.

Qualifications

• Bachelor's degree in a quantitative field such as mathematics, statistics, epidemiology, public health, computer science or data science.

Responsibilities

• Designs epidemiological studies and translates questions into modelling approaches.
• Develops deterministic, stochastic compartmental and individual-based models of disease dynamics and interventions.
• Conducts literature reviews, meta-analyses and statistical analyses to inform model structure and parameters.
• Cleans and analyzes data; documents limitations and analytical decisions.
• Performs sensitivity, uncertainty and scenario analyses and interprets findings.

Skills

Mathematical modelling

Epidemiology

Statistical analysis

Research design

Programming languages

Python

R

MATLAB

C/C++

Data analysis

Education

Bachelor's Degree

Tools

Python

R

MATLAB

C

C++

Job description

Select how often (in days) to receive an alert:

The position independently performs moderate to complex mathematical modelling and epidemiological analyses, interprets results and supports design and dissemination of research studies under the guidance of the Principal Investigator (PI).

Job Responsibilities

• Assists with the design of epidemiological studies and translates research questions into appropriate mathematical modelling and analytical approaches.
• Designs, codes and runs deterministic, stochastic compartmental and individual-based models describing disease dynamics and the impact of interventions.
• Conducts literature reviews, evidence synthesis, meta-analyses and statistical analyses to inform model structure, assumptions and parameters.
• Cleans, links, manipulates and analyzes data; assesses data quality and documents limitations and analytical decisions.
• Performs sensitivity, uncertainty and scenario analyses and interprets findings in relation to the research question as required.
• Maintains reproducible code, model documentation, analysis records, results and visualizations in accordance with team standards.
• Contributes to analytical standards, procedures, quality checks and continuous improvement within the team.
• Contributes to research plans, grant applications, manuscripts, reports and presentations.
• Contributes to the development and maintenance of modelling, and standard operating procedures (SOPs).
• Performs other duties as assigned.

Education

• Bachelor's Degree

Experience

Bachelor’s degree in mathematics, statistics, epidemiology, public health, computer science, data science, or a related quantitative discipline with 3 - 5 years of relevant experience.

Prior experience in a healthcare or epidemiological research setting is desirable.

Knowledge, Skills and Abilities

• 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.
• Attention to detail with the ability to work independently and as a part of a team.
• Strong organizational skills and the ability to multi-task.
• Proficiency in Microsoft Office Suites including Word, Excel, PowerPoint and Outlook.

Licenses and Certifications

Working Conditions/Physical Demands

Weill Cornell Medicine-Qatar was established in 2001 as a partnership between Cornell University and Qatar Foundation (QF). The first medical school in Qatar and a pioneer of coeducation at the university level, WCM-Q offers an integrated Six-Year Medical Program that incorporates pre-medical and medical studies and leads to the Cornell University M.D. degree.

Teaching is by Cornell and Weill Cornell faculty, including physicians at Hamad Medical Corporation (HMC) who hold Weill Cornell appointments. Enrollment has grown rapidly from 25 first-year pre-medical students in the fall of 2002 to over 300 students from more than 30 countries today.

WCM-Q is part of Weill Cornell Medicine in New York City, which was founded over 100 years ago, and shares the same mission:

to provide the finest education possible for medical students

to conduct research at the cutting edge of knowledge

to improve healthcare both now and for future generations

to provide the highest quality of care to the community

WCM-Q’s home city is Doha, a thriving cosmopolitan metropolis with a culturally diverse population, a rapidly growing economy, and modern infrastructure. WCM-Q is a member of Qatar Foundation, a not-for-profit organization with multiple centers focused on education, research and innovation, and community development. WCM-Q is located within Education City, the flagship development of QF, which occupies more than 12 square kilometers and is home to some of the world’s leading educational institutions, including Hamad Bin Khalifa University, and overseas campuses of elite universities, such as VCUarts Qatar, Texas A&M University at Qatar, Northwestern Qatar, Georgetown University in Qatar, Carnegie Mellon University in Qatar, and HEC Paris in Qatar.

Weill Cornell Medicine-Qatar is an Equal Employment Opportunity/Minorities/Females/Vet/Disabled employer.

Copyright 2021 by Weill Cornell Medicine - Qatar