招聘

R&D Knowledge and Learning Manager (Planning & Measurement Support)
India - Hyderabad
·
On-site
·
Full-time
·
1w ago
Required Skills
Learning planning
Measurement and analytics
Survey design
Data analysis
Project management
Communication
Career Category
Research
Job DescriptionR&D Knowledge and Learning Manager(Planning & Measurement Support)Location: Amgen India
Travel: None
HOW MIGHT YOU DEFY IMAGINATION?
If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.
Let’s do this. Let’s change the world.
As a Manager – TA/Product Knowledge & Learning (Planning & Measurement Support), you will support the TA/Product Knowledge & Learning (K&L) team based in the U.S., who own product learning strategy and execution. This role is focused on planning enablement, coordination, and measurement to support Global Medical training needs across therapeutic areas and products.
You will work closely with the TA/Product K&L team to operationalize U.S.-developed learning plans, providing structure, insights, and measurement to enable effective delivery of global medical learning programs, including congress-related trainings.
Primary Responsibilities
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Support the TA/Product K&L team by enabling planning and measurement activities aligned to established learning plans and Global Medical priorities.
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Translate approved learning plans into detailed planning inputs, including timelines, milestones, dependencies, and tracking tools.
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Coordinate inputs and learner insights to support Global Medical training needs, in alignment with therapeutic area and product priorities.
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Design, deploy, and analyze surveys to assess learner needs, readiness, and post-training effectiveness.
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Define, track, and assess learning metrics (e.g., participation, satisfaction, knowledge uptake) in alignment with TA/Product K&L objectives.
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Prepare dashboards, reports, and insights summaries to support data-driven decision-making and continuous improvement.
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Support planning and measurement for congress-related trainings, including pre- and post-congress assessments (execution led by the TA/Product K&L team).
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Maintain integrated learning calendars, trackers, and documentation to support governance and visibility.
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Identify risks, gaps, and improvement opportunities related to learning plans and measurement, and communicate insights to the TA/Product K&L team.
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Ensure alignment with Amgen learning standards, governance processes, and compliance requirements.
Key Stakeholders
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TA/Product Knowledge & Learning (K&L) Team
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Global Medical stakeholders
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Therapeutic Area and Product partners
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Knowledge & Learning content and operations teams
What we expect of you
Basic Qualifications:
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Doctorate degree with 6+ years of clinical/scientific affairs experience
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Master’s degree with 7+ years of experience
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Bachelor’s degree with 8+ years of experience
Preferred Qualifications:
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Advanced degree in life sciences, pharmacy, or medicine
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Experience in learning planning support, measurement, and analytics
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Demonstrated ability to design and interpret surveys and learning effectiveness metrics
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Strong analytical, organizational, and communication skills
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Experience supporting Global Medical or scientific training programs in a matrixed environment
.
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About Amgen
Reviews
3.8
2 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
3.0
Career
4.0
Management
3.0
70%
Recommend to a Friend
Pros
Professional development opportunities
Exposure to diverse functions and projects
Large-scale project experience
Cons
Understaffed with high output expectations
Limited permanent job opportunities
Temporary contract limitations
Salary Ranges
1,544 data points
L2
L3
L4
L5
L6
L2 · Financial Analyst L2
0 reports
$94,068
total / year
Base
$37,627
Stock
$47,034
Bonus
$9,407
$65,848
$122,288
Interview Experience
3 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 33%
Negative 67%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Round Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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