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.
Senior Product Lead
Data-Driven R&D is at the core of Bayer´s Pharmaceutical R&D venture. As a Senior Product Lead with Bayer, you will drive the digital transformation of R&D by translating our R&D strategy into value generating digital products.
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities for this role Senior Product Lead are to:
Architect value driving digital products by analyzing, understanding and translating our R&D strategy and respective R&D capabilities;
Bring in a clear, unbiased perspective on industry digital trends and best practices in the clinical space, to aid in shaping a robust digital strategy and roadmap at Bayer aligned with business goals;
Possess a cross-functional view on our system landscape & data assets. Envision, connect and bring forward our data science capabilities with your Data Science & AI colleagues for the broader RD community;
Catalyze the implementation of digital products by working with and coaching of product teams, while communicating with multiple and senior stakeholders across Bayer R&D and adjacent functions;
Define value and business cases and respective budget demand, understand and manage parts of the R&D digital budget, and drive the concept of "Total cost of ownership" for key systems and digital landscape;
Collaborate with IT and external partners to build and run cost effective solutions and respective products & systems that integrate into our technology landscape.
WHO YOU ARE
Required Qualifications:
Bachelors degree, preferably in a scientific discipline;
Long-term experience in R&D, preferably pharmaceuticals with deep understanding and knowledge of pharmaceuticals processes;
Proven experience in architecting digital and data science solutions for Clinical Development and Clinical Operations;
Proven track record in leading product developments, projects and virtual teams;
Knowledge of enterprise IT systems, data architecture, and data science;
Ability to translate between IT, scientific as well as technical experts;
Entrepreneurial mindset and courage to challenge and optimize ways or working and organizing;
Person of integrity and balanced personality, self-reflective, diplomatic and perseverant, good communicator and networker, assertive and resilient, strong can-do attitude delivering tangible outcomes and with the ability to lead by content;
Collaborates and holds each other accountable in and across teams;
Good self-organization, strong problem-solving skills and the ability to juggle multiple priorities and make quick decisions.
YOUR APPLICATION
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Bayer is an E-Verify Employer.
Location:
United States : New Jersey : Whippany
Division:
Pharmaceuticals
Reference Code:
834003
Contact Us
Email:
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