Real World Evidence Intern

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Real World Evidence Intern 

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role are to: 

• Learn about real-world evidence strategic development to support life- cycle management activities for oncology products;
• Support two to three real-world evidence projects execution through the development of research protocols, analytic plans, and the summarization of study findings;
• Learn the evidence generation in a collaborative environment within the real-world centers of excellence and the data science team;
• Communicate research findings through concise presentation to cross-functional stakeholders, including Global Product Team members from Medical, Access, Clinical, and other relevant functions, as well as external presentation at scientific congresses.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Currently enrolled in a Masters degree or Doctor of Philosophy (preferred) in Pharmacoepidemiology, Epidemiology, Health Economics and Outcomes Research, HEOR, Biostatistics, Healthcare Systems and Policy, Public Health or related field;
• Understanding of the evidence synthesis research methodologies, and/or coursework on epidemiology research design and statistical analytics;
• Demonstrated record of at least one scientific research publication using a real-world data source;
• Ability to effectively communicate research findings in both verbal and written form;
•  Proficiency in Microsoft Word, Excel, and PowerPoint.

Employees can expect to be paid a salary of approximately between $46.30 to $56.80. Additional compensation may include a bonus or commission (if relevant).  Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc..  This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.