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Amgen

Makes biotech medicines for serious illnesses

Manager Data Support

Clinical Research OperationsConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listed

About the Job

Requirements

  • Doctorate degree, or a master's degree and 2 years of clinical data management or clinical data operations experience, or a bachelor's degree and 4 years of such experience, or an associate's degree and 8 years of such experience, or a high school diploma/GED and 10 years of such experience.
  • Experience managing and developing a team, including coaching, performance management, balancing, and delivering through competing priorities.
  • Proficiency in Excel.
  • Familiarity with basic data concepts, including datasets, reconciliation logic, and edit checks.
  • Understanding of clinical trial execution and the role of Data Management in startup, conduct, and closeout.
  • Ability to balance capacity, timelines, and shifting priorities across studies.
  • Ability to drive right-first-time execution, documentation discipline, traceability, and adherence to SOPs and work instructions.
  • Ability to establish standard ways of working and reduce variability across a support pool.
  • Ability to communicate with data delivery leads, program stakeholders, and resourcing partners and resolve conflicts.
  • Understanding of core data management concepts, including edit checks, discrepancies, reconciliation, and external data flows.
  • Ability to identify recurring issues and implement practical fixes.
  • Ability to set expectations for responsiveness, handoffs, and asynchronous work across time zones.

Responsibilities

  • Recruit, onboard, and train new team members in partnership with R&D Training and functional training.
  • Provide regular coaching, mentoring, and competency development for direct reports.
  • Manage team risks, including attrition, skill gaps, and performance challenges.
  • Partner with resourcing leads to assign associates based on skills, experience, and workload.
  • Monitor capacity, forecast demand, raise gaps early, and propose rebalancing plans.
  • Ensure associates are prepared for study assignments, including access, training, expectations, and handoffs.
  • Track allocation health and adjust proactively.
  • Identify recurring gaps in skills, process adherence, or tooling and drive targeted training plans.
  • Promote standard ways of working for associate execution, including templates, checklists, and playbooks.
  • Capture lessons learned and share them across the support pool to reduce rework and variability.
  • Encourage practical improvements that increase throughput and quality without adding unnecessary documentation.
  • Serve as the point of contact for escalations related to associate performance, responsiveness, and quality.
  • Build relationships with study and program stakeholders to align expectations and resolve friction.
  • Ensure consistent communication between delivery roles and the support pool about priorities and deadlines.
  • Ensure associates follow SOPs, work instructions, and quality standards, and support audit and inspection readiness by ensuring evidence is complete, traceable, and stored appropriately.
  • Partner with QA and Process leads to implement corrective actions when issues recur.
  • Monitor support-work quality indicators, including cycle time, error rates, rework, and backlog.
  • Support the functional resourcing team with hiring coordination, allocation tracking, and forecasting inputs, and provide reporting on team capacity, utilization, and skill coverage for portfolio planning.

Desired Qualifications

  • At least 5 years in life sciences, including at least 3 years focused on clinical data management or clinical data operations supporting interventional trials.
  • Experience leading teams that execute high-volume clinical data management work, including startup activities, data review and cleaning, reconciliation, and issue management.
  • Experience supporting multiple studies or programs in parallel with shifting priorities.
  • Prior experience in clinical data management, data operations, data capture, database build, or external data acquisition.

About the Company

Amgen

Makes biotech medicines for serious illnesses

Amgen develops and makes biologic medicines, which are drugs built from proteins and antibodies grown in living cells, for serious conditions such as heart disease, cancer, and bone loss. Its anemia drug Epogen, approved in 1989, became one of the biotechnology industry's first blockbuster medicines. Amgen grows these drugs in large tanks called bioreactors, and its products include the cholesterol drug Repatha, the bone-building drug Evenity, and the severe asthma drug Tezspire. It earns money by selling these medicines, mostly through large drug wholesalers that supply hospitals and pharmacies. Amgen was founded in 1980 and is based in Thousand Oaks, California.

Company size
10,001+
Company stage
IPO
Headquarters
Thousand Oaks, CA
Founded
1980

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