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Translational Medicine Academy fellow in Preclinical Safety - Data Science(m/w/x)
Supporting translational safety assessments with computational methods for a global healthcare company. MSc/PhD in quantitative field with Python/R programming and ML skills required. Blended learning experience, global team collaboration.
Requirements
- Experience with large-scale biological datasets
- MSc, PhD, or equivalent experience in quantitative field
- Strong programming skills in Python/R, including agentic coding
- Strong grasp of statistics and machine learning
- Experience with reproducible data science tools
- Business-level English fluency (oral & written)
- Good organizational, interpersonal, collaboration, communication skills
- Ability to work in a team and independently
- Managing multiple priorities with support
- Recent university degree graduate (within 2 years)
- Professional experience from a different field
- Returning to work after a career break
- Eligible to work in Switzerland
Tasks
- Build a strong foundation in translational medicine
- Participate in a blended learning experience
- Collaborate with global interdisciplinary teams
- Support translational safety assessments using computational methods
- Contribute to research and development projects
- Engage in continuous learning and skill development
- Work on meaningful projects with industry experts
- Broaden professional perspective through diverse opportunities
- Mentor and teach new fellows
- Gain hands-on experience in early drug development
- Participate in global and inclusive team environments
- Support translational toxicology and predictive safety efforts
- Contribute to pathology and therapeutic area safety assessments
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
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Translational Medicine Academy fellow in Preclinical Safety - Data Science(m/w/x)
Supporting translational safety assessments with computational methods for a global healthcare company. MSc/PhD in quantitative field with Python/R programming and ML skills required. Blended learning experience, global team collaboration.
Requirements
- Experience with large-scale biological datasets
- MSc, PhD, or equivalent experience in quantitative field
- Strong programming skills in Python/R, including agentic coding
- Strong grasp of statistics and machine learning
- Experience with reproducible data science tools
- Business-level English fluency (oral & written)
- Good organizational, interpersonal, collaboration, communication skills
- Ability to work in a team and independently
- Managing multiple priorities with support
- Recent university degree graduate (within 2 years)
- Professional experience from a different field
- Returning to work after a career break
- Eligible to work in Switzerland
Tasks
- Build a strong foundation in translational medicine
- Participate in a blended learning experience
- Collaborate with global interdisciplinary teams
- Support translational safety assessments using computational methods
- Contribute to research and development projects
- Engage in continuous learning and skill development
- Work on meaningful projects with industry experts
- Broaden professional perspective through diverse opportunities
- Mentor and teach new fellows
- Gain hands-on experience in early drug development
- Participate in global and inclusive team environments
- Support translational toxicology and predictive safety efforts
- Contribute to pathology and therapeutic area safety assessments
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Novartis Pharma AG
Industry
Pharmaceuticals
Description
Das Unternehmen setzt sich für Vielfalt, Chancengleichheit und Inklusion ein und fördert innovative Lösungen zur Verbesserung der Patientenversorgung.
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