Scientist

Ben Khan; Riyadh; On-site; SAR 262,000 - 338,000; Full time

Job summary

A leading institution in biomedical research in Riyadh is seeking a qualified candidate with a Doctorate and three years of post-doctoral experience. The role emphasizes teaching competencies and proficiency in SAS and biostatistics. Candidates should possess excellent communication skills and a comprehensive understanding of clinical trial design. Employment benefits include tax-free income, accommodations, and generous vacation time.

Benefits

Tax-Free income

Married-Status contract

Accommodations provided

Relocation Allowance

Free flights home

Generous vacations (54 days)

Qualifications

• Three years of directly related experience post-doctoral degree.
• One year of teaching experience at the associate professorship level.
• Consulting experience in a biomedical setting.

Skills

Advanced experience in SAS or SAS / JMP

Excellent communication skills

Comprehensive understanding of biostatistics

Experience with R or Python

Education

Doctorate degree

PhD in Biostatistics, Statistics, Data Science or Applied Mathematics

Tools

SAS

SPSS

STATA

R

Python

Job description

Job Benefits

• Tax-Free income
• Married-Status contract
• Accommodations provided
• Relocation Allowance
• Free flights home
• Generous vacations (54 days)

Job Requirements

• Doctorate degree
• Three (3) years of directly related experience post-doctoral degree including one year of teaching experience at the associate professorship level.
• PhD in Biostatistics, Statistics, Data Science or Applied Mathematics
• Consulting experience in a biomedical setting with evidence through co-authored publications
• Advanced experience (including programming and / or macros) in SAS or SAS / JMP, STATA, SPSS. Experience with R or Python is preferred.
• Excellent written and verbal communication skills with the ability to document work through statistical analysis plans and reports
• Comprehensive understanding of biostatistics with particular expertise in design and analysis of clinical trials. Familiarity with sequential designs, adaptive designs, and Bayesian designs is preferred.
• Familiarity with retrospective designs and analysis; a solid understanding of propensity score analyses is required.
• Experience of teaching experience (e.g. pedagogic seminars and workshops) in biostatistics is required.