Were building a new multidisciplinary Real-World Evidence (RWE) team, and were looking for a Real-World Evidence Research Scientist to join us on this exciting journey!
This is a unique opportunity to be part of a newly formed team, where each member brings a different expertise, and together well create meaningful data-driven insights to impact the world of healthcare.
What will you do?
Dive deep into complex, real-world datasets clinical data, oncology, and other unexplored data sources.
Lead full-cycle research processes: hypothesis generation, algorithm development, data cleaning, analysis, visualization and reporting of research findings.
Perform survival and other statistical analyses using advanced methods on large clinical datasets including Cox proportional hazards models, Kaplan-Meier estimators, temporal data models, propensity score matching etc.
Write clean, high-quality code (Python, SQL) and work with leading libraries (such as: Pandas, SKLearn) and apply Machine Learning techniques where appropriate.
Collaborate in a dynamic team culture that values sharing knowledge, peer feedback, and continuous learning.
This is a unique opportunity to be part of a newly formed team, where each member brings a different expertise, and together well create meaningful data-driven insights to impact the world of healthcare.
What will you do?
Dive deep into complex, real-world datasets clinical data, oncology, and other unexplored data sources.
Lead full-cycle research processes: hypothesis generation, algorithm development, data cleaning, analysis, visualization and reporting of research findings.
Perform survival and other statistical analyses using advanced methods on large clinical datasets including Cox proportional hazards models, Kaplan-Meier estimators, temporal data models, propensity score matching etc.
Write clean, high-quality code (Python, SQL) and work with leading libraries (such as: Pandas, SKLearn) and apply Machine Learning techniques where appropriate.
Collaborate in a dynamic team culture that values sharing knowledge, peer feedback, and continuous learning.
Requirements:
MSc or PhD in a quantitative field (Computer Science, Statistics, Applied Mathematics, Biomedical Engineering).
4+ years of experience as a Data Scientist or Researcher working with clinical data.
Proven ability to work with large-scale datasets, integrate multiple data sources, and build efficient processes.
A natural curiosity, eagerness to learn, and drive to lead a new knowledge domain within the team.
Ability to perform under pressure, deliver impactful insights, and think with a business-oriented mindset.
MSc or PhD in a quantitative field (Computer Science, Statistics, Applied Mathematics, Biomedical Engineering).
4+ years of experience as a Data Scientist or Researcher working with clinical data.
Proven ability to work with large-scale datasets, integrate multiple data sources, and build efficient processes.
A natural curiosity, eagerness to learn, and drive to lead a new knowledge domain within the team.
Ability to perform under pressure, deliver impactful insights, and think with a business-oriented mindset.
This position is open to all candidates.
