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Senior Manager - Global Heor Systematic Literature Review Leader @ Amgen

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 Senior Manager - Global Heor Systematic Literature Review Leader

Job Description

What you will do

The Global HEOR Systematic Literature Review (SLR) Leader oversees the development and delivery of systematic literature review activities within Amgens Global HEOR function. This operational and managerial role includes supervision of a team of Global HEOR SLR Analysts, ensuring high-quality, timely, and scientifically robust literature review outputs. The Global HEOR SLR Leader will align closely with Global HEOR TA Heads in support of global market access and value demonstration for Amgens products across their lifecycle.

  • Lead, mentor, and handle a team of Global HEOR SLR Analysts, fostering a high-performance culture.
  • Oversee the design, execution, and quality control of systematic literature reviews across therapeutic areas.
  • Supervise the development of research protocols, screening strategies, and data abstraction tools.
  • Collaborate with HEOR TA Heads to align literature review outputs with HEOR strategy.
  • Serve as the functional guide on literature review within HEOR.
  • Ensure consistency with PRISMA, PICOS, and other industry standards for evidence synthesis.
  • Support integration of SLRs into HTA submissions, global value dossiers, and peer-reviewed publications.
  • Continuously improve workflows, tools, and methodologies to enhance review efficiency and quality.
  • Contribute to hiring, training, and performance evaluations within the SLR team.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The HEOR Systematic Literature Review Leader we seek should possess these qualifications.

Basic Qualifications & Experience:

  • Doctorate degree in health economics, public health, Epidemiology, Pharmacy, life sciences or related field and 2 years of experience in systematic literature reviews and evidence synthesis in the pharmaceutical, biotech or consulting setting OR,
  • Masters degree in Health Economics, Public Health, Epidemiology, Pharmacy, life sciences or related field and 8 to 10 years of experience in systematic literature reviews and evidence synthesis in the pharmaceutical, biotech or consulting setting OR,
  • Bachelors degree in Health Economics, Public Health, Epidemiology, Pharmacy, life sciences or related field and 10 to 14 years of experience in systematic literature reviews and evidence synthesis in the pharmaceutical, biotech or consulting setting OR,
  • Diploma in Health Economics, Public Health, Epidemiology, Pharmacy, life sciences or related field and 14 to 18 years of experience in systematic literature reviews and evidence synthesis in the pharmaceutical, biotech or consulting setting
  • 3+ years of experience in team management capacity.

Skills & Competencies:

  • Exceptional leadership, mentoring, and project management skills.
  • Excellent English oral and written communication, with ability to tailor content to different key partners; past medical writing experience is a plus
  • Advanced proficiency with systematic review tools and citation databases (e.g., PubMed, EMBASE).
  • Skilled in Microsoft Office (Word, PowerPoint, Excel); experience with EndNote or other reference tools preferred.
  • High attention to detail, quality assurance, and evidence integrity.
  • Innovative use of artificial intelligence to boost efficiency

Organizational Behaviors:

  • Solution-oriented with a continuous improvement attitude.
  • Strong interpersonal and customer engagement capabilities.
  • Comfortable working in a distributed team across time zones and cultures.

Job Classification

Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Research & Development
Role Category: Research & Development - Other
Role: Research & Development - Other
Employement Type: Full time

Contact Details:

Company: Amgen Inc
Location(s): Hyderabad

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Keyskills:   literature reviews research protocols pharmaceutical project management team management data abstraction biotech

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