Job summary

The fellow will integrate multimodal data to build and validate clinical trial simulation frameworks that quantify operational and clinical risks. They will also develop reusable simulation pipelines and communicate findings to cross-functional stakeholders to support trial design decisions.

Job details

The fellow will integrate multimodal data to build and validate clinical trial simulation frameworks that quantify operational and clinical risks. They will also develop reusable simulation pipelines and communicate findings to cross-functional stakeholders to support trial design decisions. Candidates must hold a Ph.D. in Biostatistics, Statistics, or a closely related quantitative discipline. Proficiency in R or Python and a strong foundation in clinical trial methodology and statistical inference are required.

What you’ll do

The fellow will integrate multimodal data to build and validate clinical trial simulation frameworks that quantify operational and clinical risks. They will also develop reusable simulation pipelines and communicate findings to cross-functional stakeholders to support trial design decisions.

Requirements

Candidates must hold a Ph.D. in Biostatistics, Statistics, or a closely related quantitative discipline. Proficiency in R or Python and a strong foundation in clinical trial methodology and statistical inference are required.

Benefits

Competitive compensation
Work-life balance support
Networking opportunities
Mobility support

Listed skills

Scenario Planning · Preferred
Git · Preferred
Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

Biostatistics
Clinical trial simulation
R
Python
Bayesian modeling
Monte Carlo simulation
Statistical modeling
Data integration
Clinical development
Reproducible research
Git
Survival analysis
Mixed models
Estimand thinking
Data science
Scenario planning

Job areas

Science & Research
Data & Analytics
Healthcare
Technology