Internship - Predicting Adverse Drug Reactions
Are you passionate about using data and analytics to make a positive impact on the world? Do you have a strong interest in healthcare and improving patient outcomes? If so, then we have an exciting opportunity for you! Roche is seeking an ambitious and motivated intern to join our team and assist with predicting adverse drug reactions using advanced data analysis techniques. As an intern, you will have the opportunity to work alongside experienced professionals and gain hands-on experience in the pharmaceutical industry. We are looking for a highly analytical and detail-oriented individual with a strong educational background in data science or a related field. If this sounds like you, we encourage you to apply for this internship and help us drive innovation in healthcare.
- Conduct research and analysis to identify patterns and trends in adverse drug reactions.
- Utilize advanced data analysis techniques to develop predictive models for adverse drug reactions.
- Work collaboratively with the team to identify and implement data-driven solutions to improve patient outcomes.
- Gather and analyze large datasets from various sources to support drug safety monitoring and risk assessment.
- Assist with the development and maintenance of databases and data collection systems.
- Communicate findings and results to the team in a clear and concise manner.
- Stay up-to-date with industry trends and advancements in data science and analytics.
- Contribute to the development and implementation of new analytical tools and processes.
- Ensure data accuracy and integrity by conducting quality checks and resolving any discrepancies.
- Collaborate with cross-functional teams to integrate data and insights into decision-making processes.
- Demonstrate a strong understanding of healthcare regulations and compliance requirements.
- Proactively identify areas for improvement and make recommendations for process enhancements.
- Participate in training and development opportunities to enhance skills and knowledge in data analysis.
- Maintain confidentiality and adhere to all data privacy and security policies.
- Represent Roche in a professional and positive manner at all times.
Strong Background In Pharmacology And Drug Safety: An Intern At Roche Should Have A Solid Understanding Of Pharmacology And Drug Safety Principles To Effectively Predict And Assess Adverse Drug Reactions.
Experience With Data Analysis And Predictive Modeling: The Ability To Analyze And Interpret Large Datasets And Use Predictive Modeling Techniques Is Crucial For Identifying Potential Adverse Drug Reactions.
Knowledge Of Regulatory Guidelines: Familiarity With Regulatory Guidelines Related To Drug Safety, Such As Those From The Fda And Ema, Is An Important Qualification For This Internship.
Excellent Communication And Teamwork Skills: As An Intern At Roche, You Will Be Working Closely With A Team Of Researchers And Other Professionals. Strong Communication And Teamwork Skills Are Essential For Success In This Role.
Attention To Detail And Critical Thinking: The Ability To Pay Close Attention To Detail And Think Critically Is Essential For Identifying And Evaluating Potential Adverse Drug Reactions. This Skillset Is Highly Valued At Roche.
Data Analysis
Data Mining
Statistical modeling
Drug development
Risk assessment
Literature Review
Clinical Trials
Drug Safety
Pharmacovigilance
Adverse Event Reporting
Signal Detection
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
flexibility
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Internship - Predicting Adverse Drug Reactions in Basel, Switzerland is between CHF 2,500 and CHF 4,000 per month. This can vary depending on the specific company and the qualifications and experience of the intern.
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Roche Holding AG operates as a research healthcare company. It operates through the diagnostics and pharmaceuticals segments. The pharmaceutical segment refers to development of medicines in the field of oncology, immunology, ophthalmology, infectious diseases and neuroscience. The diagnostic segment refers to diagnosis of diseases through an in vitro diagnostics process.
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