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Translational Medicine Academy fellow in Preclinical Safety - Data Science(m/w/x)
Supporting translational safety assessments using computational methods for a global pharmaceutical company. MSc/PhD in quantitative field with Python/R programming skills required. Blended learning experience, collaboration with interdisciplinary teams.
Requirements
- Experience with large-scale biological datasets
- MSc, PhD, or equivalent in quantitative field
- Strong programming skills in Python/R
- Agentic coding skills
- Strong grasp of statistics and machine learning
- Experience with reproducible data science tools
- Experience with reproducible data science practices
- Business-level English fluency (oral & written)
- Good organizational skills
- Good interpersonal skills
- Good collaboration skills
- Good communication skills
- Ability to work in a team
- Ability to work independently
- Managing multiple priorities with support
- Eligible to work in Switzerland
- Recent university degree graduate (within 2 years)
- Professional experience from a different field
- Returning to work after a career break
Tasks
- Build a strong foundation in translational medicine
- Participate in a blended learning experience
- Collaborate with global interdisciplinary teams
- Support project teams in translational safety assessments
- Contribute to translational safety assessments using computational methods
- Engage in continuous learning and skill development
- Broaden professional perspective through diverse projects
- Teach and mentor new fellows
- Work with supportive peers and mentors
- Gain hands-on experience in drug development and clinical trials
- Contribute to innovative programs and projects
- Deep dive into areas aligned with interests and opportunities
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 using computational methods for a global pharmaceutical company. MSc/PhD in quantitative field with Python/R programming skills required. Blended learning experience, collaboration with interdisciplinary teams.
Requirements
- Experience with large-scale biological datasets
- MSc, PhD, or equivalent in quantitative field
- Strong programming skills in Python/R
- Agentic coding skills
- Strong grasp of statistics and machine learning
- Experience with reproducible data science tools
- Experience with reproducible data science practices
- Business-level English fluency (oral & written)
- Good organizational skills
- Good interpersonal skills
- Good collaboration skills
- Good communication skills
- Ability to work in a team
- Ability to work independently
- Managing multiple priorities with support
- Eligible to work in Switzerland
- Recent university degree graduate (within 2 years)
- Professional experience from a different field
- Returning to work after a career break
Tasks
- Build a strong foundation in translational medicine
- Participate in a blended learning experience
- Collaborate with global interdisciplinary teams
- Support project teams in translational safety assessments
- Contribute to translational safety assessments using computational methods
- Engage in continuous learning and skill development
- Broaden professional perspective through diverse projects
- Teach and mentor new fellows
- Work with supportive peers and mentors
- Gain hands-on experience in drug development and clinical trials
- Contribute to innovative programs and projects
- Deep dive into areas aligned with interests and opportunities
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
The company is committed to integrating AI-powered tools into drug discovery to enhance data-driven solutions.
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