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Bayer Zydus Pharma

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3.5

based on 126 Reviews

1 Bayer Zydus Pharma Medical Science Liaison Job

Medical Science Liaison

Bayer CropScience Ltd

3.5

based on 126 Reviews

2-4 years

Kolkata

1 vacancy

Medical Science Liaison

Bayer Zydus Pharma

posted 7d ago

Job Role Insights

Flexible timing

Key skills for the job

Pharmacy Clinical Research Recruitment Life Sciences PMP Training

+ 3 more

Job Description

Medical Science Liaison

POSITION PURPOSE:

The Medical Science Liaison (MSL) shall act as a scientific expert between Bayer and the medical community through co-creation of medical strategies, and dissemination and education of scientific data and material. He/she also serves as an important partner to internal stakeholders within Bayer by communicating relevant information from Thought Leaders (TLs) to key cross-functional partners. The MSL demonstrates a solid understanding of the role and function within Bayer and/or other companies. He/she comes up to speed quickly on a new therapeutic area and functions more independently. The MSL can lead projects and contribute to brand strategies.

Bayer is committed to a flexible hybrid working environment. This role is based out of Kolkata, India.

YOUR ROLES AND RESPONSIBILITIES :

Exchange and dissemination of scientific, educational, and research related information: The MSL plans, partners and engages with TLs as a subject matter expert and colleague both proactively and reactively via various innovative TL engagements tactics and formats to provide dissemination, clarification and education of scientific data, study protocols, meeting abstracts, and professional literature (Both proactive discussions on-label, and reactive discussions for unsolicited off-label questions in alignment with local regulations).

TL Identification / profiling / segmentation and strategy and engagement planning: In alignment with medical strategy as stipulated in the integrated brand plan, the MSL contributes to internal understanding of specific TL interests, expertise and impact in the medical community at large.
Coordination of Scientific Education Activities and Advisory Boards: The MSL plans and organizes scientific training, education events / sessions and advisory boards with TLs within their specific therapeutic area.
Preparing reports and tracking activities: The MSL submits timely reports of field interactions and events, as well as tracks activities against agreed-upon PMP objectives and country medical activity plan.
Support evidence generation activities: like Investigator Initiated Research (IIR), Real World Evidence (RWE), Post-marketing Studies, Collaborative studies, etc from ideation to publication support. The MSL acts as a point of contact for investigators, facilitating the interface with investigators and appropriate Bayer personnel responsible for approval, and communication of study progress and completion
Support market access, clinical research and commercial functions through training and education activities and presentations to external stakeholders, as required
Travel within India for business will be required.

WHO YOU ARE:

Bachelor s degree in life sciences, pharmacology, dental sciences, or medicine. Advanced degree in science-related field e.g. MD, MDS, PhD preferred.
2 years of experience in the pharmaceutical industry as an MSL preferred or experience in medical affairs, drug information, clinical research and development, or other clinically relevant activities.
Possess basic knowledge of Therapy Area (Retinal disorders) and related Products
Preferable to have business acumen / knowledge, gained through academic study or work experience in a pharma or equivalent organization.
Track record of successfully dealing with internal and/or external stakeholders to develop coherent strategy/ approach or to gain support on key issues
Successfully led workstreams / projects and organized scientific engagement platforms and events
Has experience learning and using digital technology on-the-fly to develop communications, brand / TA campaigns and/or conduct analysis of medical data and generate insights