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Master-Thesis in Biostatistics department(m/w/x)
Description
In this role, you will write your Master-Thesis while collaborating with biostatisticians in the Biostatistics department. Your work will involve developing a PROCOVA score, analyzing clinical data, and implementing prognostic models to drive impactful healthcare solutions.
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Requirements
- •Studies in Statistics, Data Science, Mathematics, or similar
- •Good programming knowledge in R
- •Experience with GitHub
- •Experience in working with medical data and Machine Learning
- •Keen interest in pharmaceutical processes
- •Ability to work independently and as a team player
- •Highly motivated analytical problem solver
- •Excellent communication skills
- •Fluent spoken and written English and German
Education
Tasks
- •Write your Master-Thesis with guidance from biostatisticians
- •Develop and implement a PROCOVA score for Hidradenitis Suppurativa
- •Prepare extensive datasets from placebo patients in multiple clinical studies
- •Select relevant studies and create datasets following programming standards
- •Conduct systematic analysis and document patient characteristics and data limitations
- •Implement various prognostic models using different methodological approaches
- •Evaluate and compare models using real clinical data
- •Document and present results, recommending actions for future PROCOVA modeling
Tools & Technologies
Languages
English – Business Fluent
German – Basic
Benefits
Flexible Working
- •Mobile office policy
Other Benefits
- •Supportive work environment
Career Advancement
- •Opportunities for career growth
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Master-Thesis in Biostatistics department(m/w/x)
The AI Job Search Engine
Description
In this role, you will write your Master-Thesis while collaborating with biostatisticians in the Biostatistics department. Your work will involve developing a PROCOVA score, analyzing clinical data, and implementing prognostic models to drive impactful healthcare solutions.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Studies in Statistics, Data Science, Mathematics, or similar
- •Good programming knowledge in R
- •Experience with GitHub
- •Experience in working with medical data and Machine Learning
- •Keen interest in pharmaceutical processes
- •Ability to work independently and as a team player
- •Highly motivated analytical problem solver
- •Excellent communication skills
- •Fluent spoken and written English and German
Education
Tasks
- •Write your Master-Thesis with guidance from biostatisticians
- •Develop and implement a PROCOVA score for Hidradenitis Suppurativa
- •Prepare extensive datasets from placebo patients in multiple clinical studies
- •Select relevant studies and create datasets following programming standards
- •Conduct systematic analysis and document patient characteristics and data limitations
- •Implement various prognostic models using different methodological approaches
- •Evaluate and compare models using real clinical data
- •Document and present results, recommending actions for future PROCOVA modeling
Tools & Technologies
Languages
English – Business Fluent
German – Basic
Benefits
Flexible Working
- •Mobile office policy
Other Benefits
- •Supportive work environment
Career Advancement
- •Opportunities for career growth
About the Company
Sanofi
Industry
Healthcare
Description
Das Unternehmen ist ein forschendes Biopharma-Unternehmen, das KI anwendet und sich dafür einsetzt, das Leben der Menschen zu verbessern.
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