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Learning and Development Partner, R&d
3 weeks ago
**Learning and Development Partner, Oncology R&D (Biologics Engineering)**
**12 Month** Contract**
**Hybrid Work
- on average 3 days/week from office**
**Minimum 1 day from our Mississauga office and 2 days from our Mississauga or Downtown office**
At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation - ultimately providing employees with the opportunity to work across teams, functions and even the globe.
Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.
Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people, the planet and our business are interconnected which is why we’re taking ambitious action to tackle some of the biggest challenges of our time, from climate change to access to healthcare and disease prevention.
**Summary**:
The primary focus of the role over the next 12 months is to support our Biologics Engineering (BE) function with a focus on learning projects that advance skills and know-how in artificial intelligence, machine learning and gene-data biologics (GDB)
**Key responsibilities**:
- Support development of community of practice and master classes for training in GDB.
- Monitor the journey of learners and implement innovate ways to engage them as needed
- Review, refresh and create technical / scientific learning resources (including e.g., slides, eLearning, video production etc.) to support the build of knowledge pathways within Degreed (AZ learning technology platform) including a base course for new starters on gene data biologics.
- Coordination of relevant learning programmes, including advertisement, registrations, coordination of presenters and facilitators at global locations, collation and reporting of cohort feedback etc.
- Preparation and oversight of communications for partners, intranet, and Workplace.
- Project management and operational delivery of key elements of R&D/BE learning programmes.
- Liaison with external L&D vendors for assessment of capability, oversight of project delivery, ongoing relationship management and identification of new opportunities relevant to R&D/BE.
- Collation, interpretation and reporting of learning analytics for key R&D/BE learning programmes / interventions.
- Delivery and facilitation of in person and virtual R&D/BE learning seminars and events.
- Keeps abreast of external trends in L&D technologies and approaches and makes recommendations for benefit of R&D/BE learning programmes.
- Active member of the R&D learning practitioner community, contribute to sharing of best practices and developing L&D capability for self and peers.
**Essential Requirements**:
- Practical experience building high quality learning resources with content creation tools (e.g., Articulate) and in learner experience platforms (e.g. Degreed)
- Creative flair, able to simplify complex scientific and technical concepts to support engagement and knowledge retention with R&D/BE learners, in line with AZ narrative and branding.
- Solid operational and project management skills, able to coordinate and drive delivery of tactical work with discipline and efficiency.
- Excellent knowledge of spoken and written English
- Communicates effectively at all levels, from R&D/BE learner to business partners.
- Experience delivering training, workshops, or global events, including leveraging technology to drive both in-person or virtual learning events.
- Proactive, self-starter able to work in an agile, fast paced environment.
- Excellent teammate who fosters a collaborative work environment where everyone can contribute their best work.
- Models an agile learning approach by being committed to own professional development.
**Desired Qualifications**:
- Previous work experience in a pharma environment and knowledge of the R&D drug development life cycle.
- Knowledge and expertise in artificial intelligence, machine learning and related technologies, ideally in a scientific setting or context.
**Great People want to Work with us Find out why**:
- GTAA Top Employer Award for 10 years
- Top 100 Employers Award
- Canada’s Most Admired Corporate Culture
- Learn more about working with us in Canada
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