Cognizant Hiring for PE-Pharmacovigilance – Apply Online
Job Summary
Join our dynamic team as a Pharmacovigilance Specialist where you will leverage your expertise in Generative AI to enhance drug safety processes. With a focus on innovation and precision you will contribute to the development of safer pharmaceutical products. This hybrid role offers a unique opportunity to work in a collaborative environment ensuring the well-being of patients worldwide.
Responsibilities
- Utilize Generative AI to analyze and interpret pharmacovigilance data ensuring accurate and timely reporting of adverse events.
- Collaborate with cross-functional teams to integrate AI-driven insights into pharmacovigilance workflows enhancing overall efficiency.
- Monitor and evaluate the safety profiles of pharmaceutical products identifying potential risks and recommending mitigation strategies.
- Develop and maintain comprehensive documentation of pharmacovigilance activities ensuring compliance with regulatory standards.
- Assist in the preparation of safety reports and risk assessments contributing to informed decision-making processes.
- Conduct thorough reviews of case processing data ensuring accuracy and completeness in all records.
- Support research and development initiatives by providing valuable insights derived from AI-driven data analysis.
- Participate in training sessions and workshops to stay updated on the latest advancements in pharmacovigilance and AI technologies.
- Communicate effectively with stakeholders providing clear and concise updates on safety-related findings and recommendations.
- Ensure adherence to company policies and industry regulations maintaining the highest standards of data integrity and confidentiality.
- Contribute to the continuous improvement of pharmacovigilance processes identifying opportunities for innovation and optimization.
- Collaborate with IT teams to implement and maintain AI tools and systems ensuring seamless integration with existing workflows.
- Engage in proactive problem-solving addressing challenges and obstacles with a solution-oriented mindset.
Qualifications
- Possess a strong foundation in Generative AI with practical experience in applying AI techniques to pharmacovigilance data.
- Demonstrate familiarity with research and development processes particularly in the context of drug safety and efficacy.
- Exhibit proficiency in PV case processing with a keen eye for detail and accuracy in data management.
- Display excellent communication skills capable of conveying complex information to diverse audiences.
- Show a commitment to continuous learning staying abreast of emerging trends and technologies in pharmacovigilance.
- Demonstrate the ability to work effectively in a hybrid work model balancing remote and in-office responsibilities.
- Possess strong analytical skills with the ability to interpret and synthesize large volumes of data.
Certifications Required
Certification in Pharmacovigilance or AI-related field preferred.
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
- Cognizant is a global community with more than 300,000 associates around the world.
- We don’t just dream of a better way – we make it happen.
- We take care of our people, clients, company, communities and climate by doing what’s right.
- We foster an innovative environment where you can build the career path that’s right for you.
About us:
Cognizant is one of the world’s leading professional services companies, transforming clients’ business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
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