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Design and execution of observational studies to inform clinical development and regulatory strategy at global pharmaceutical manufacturer. 2-4 years of healthcare or real-world data research experience required. Cross-functional collaboration across development and pharma teams, statistical software application.
Requirements
- Master’s or PhD in Epidemiology, Biostatistics, Health Economics, or related field
- 2-4 years of healthcare or real-world data research experience
- Experience using statistical software for data analysis
- Independent thinking and sound decision-making ability
- Strategic agility, problem-solving, and critical thinking skills
- Respect for cultural differences in global workplaces
- Excellent verbal, written, and presentation communication skills
- Experience in agile teams or regulated environments
- Exposure to pharmacoepidemiology or HEOR
Tasks
- Design and execute observational studies
- Inform clinical development and regulatory strategy
- Support healthcare decision-making through data insights
- Contribute to organizational data strategy
- Collaborate across Development and Pharma teams
- Generate evidence across various therapeutic areas
- Address clinical, operational, and payer questions
- Clean data and perform descriptive analytics
- Conduct exploratory evidence generation
- Identify relevant real-world data sources
- Perform data feasibility assessments
- Apply observational methodology to interpret results
- Develop expertise in novel data types
- Research advanced statistical and analytical methods
- Explore special trial designs and data handling
- Share knowledge to improve RWD methodology
- Broaden personal technical capabilities and skill sets
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- SAS
- Python
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Design and execution of observational studies to inform clinical development and regulatory strategy at global pharmaceutical manufacturer. 2-4 years of healthcare or real-world data research experience required. Cross-functional collaboration across development and pharma teams, statistical software application.
Requirements
- Master’s or PhD in Epidemiology, Biostatistics, Health Economics, or related field
- 2-4 years of healthcare or real-world data research experience
- Experience using statistical software for data analysis
- Independent thinking and sound decision-making ability
- Strategic agility, problem-solving, and critical thinking skills
- Respect for cultural differences in global workplaces
- Excellent verbal, written, and presentation communication skills
- Experience in agile teams or regulated environments
- Exposure to pharmacoepidemiology or HEOR
Tasks
- Design and execute observational studies
- Inform clinical development and regulatory strategy
- Support healthcare decision-making through data insights
- Contribute to organizational data strategy
- Collaborate across Development and Pharma teams
- Generate evidence across various therapeutic areas
- Address clinical, operational, and payer questions
- Clean data and perform descriptive analytics
- Conduct exploratory evidence generation
- Identify relevant real-world data sources
- Perform data feasibility assessments
- Apply observational methodology to interpret results
- Develop expertise in novel data types
- Research advanced statistical and analytical methods
- Explore special trial designs and data handling
- Share knowledge to improve RWD methodology
- Broaden personal technical capabilities and skill sets
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- SAS
- Python
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Roche
Industry
Pharmaceuticals
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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