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RLT Dosimetry Data Flow Expert

By Admin · Clinical Data Management

HYDERABAD (IN)HYBRIDPOSTED: 10/31/2026
PHARMAFull time
HIRING ORGANIZATIONNOVARTISPharmaceuticals / Healthcare
Novartis

ROLE OVERVIEW

Novartis is recruiting an RLT Dosimetry Data Flow Expert in Hyderabad to manage and review dosimetry, imaging, gamma-counting, radiometabolite and pharmacokinetic data across radioligand therapy studies. The position involves dataset reconciliation, discrepancy resolution and coordination with study teams, internal functions and external partners.

ROLE DEFINITION & RESPONSIBILITIES

  • •Establish and maintain radioligand therapy dosimetry data flows according to agreed roles and responsibilities
  • •Review electronic case report forms, study guidance, manuals and data-transfer specifications behind scientific assessments
  • •Reconcile and validate clinical, laboratory, imaging, vendor, gamma-counting and pharmacokinetic datasets
  • •Identify data discrepancies and coordinate investigation, escalation, troubleshooting and resolution
  • •Review final datasets, vendor dosimetry reports and pharmacokinetic and dosimetry outputs for study reporting
  • •Coordinate assigned final analyses and close-out activities for radioligand therapy and imaging studies
  • •Support platform harmonisation, process optimisation, training and lessons-learned implementation
  • •Ensure activities comply with applicable procedures, quality standards, data-integrity expectations and safety requirements

QUALIFICATIONS & REQUIREMENTS

REQUIRED QUALIFICATIONS

  • Master's degree, Doctor of Philosophy, Doctor of Pharmacy or equivalent qualification in a relevant scientific or quantitative discipline
  • Academic, internship, laboratory, clinical-research or industry experience relevant to scientific data delivery and review
  • Understanding of clinical or scientific data flows involving imaging, laboratory, vendor or pharmacokinetic data
  • Ability to review, reconcile and validate complex datasets with accuracy and attention to detail
  • Ability to identify data discrepancies and support timely investigation, escalation and resolution
  • Strong organisational and coordination skills to support multiple study activities and milestones
  • Effective communication and collaboration skills for work across internal functions, study teams and external partners
  • Understanding of regulated working practices, quality requirements, data integrity and procedural compliance

PREFERRED QUALIFICATIONS

  • •Experience or strong interest in radioligand therapy, dosimetry, nuclear medicine imaging or related quantitative work
  • •Experience in a pharmaceutical, biotechnology, contract research, healthcare, academic or similarly regulated environment
  • •Familiarity with electronic case report forms, data-transfer specifications, data cleaning, vendor oversight or scientific reporting
  • •Knowledge of gamma-counting, radiometabolite analysis, pharmacokinetics, imaging data or clinical study close-out activities

REQUIRED VERIFIED SKILLS

Dataset review, reconciliation and validation
Attention to detail with complex datasets
Data discrepancy identification and escalation
Organisational and coordination skills
Communication and collaboration
Data integrity and procedural compliance

COMPENSATION & REWARDS

Salary: Competitive / Disclosed upon candidate shortlisting

ORGANIZATION CONTEXT & CULTURE

Novartis is a pharmaceutical company; this posting relates to its oncology development and radioligand therapy work. The role sits with teams responsible for scientific data delivery across radioligand therapy and imaging studies.

TEAM SIZE: 76,000+ employees
INDUSTRY: Pharmaceuticals / Healthcare

APPLICATION ADVISORY

Emphasise any hands-on work reconciling imaging, laboratory, vendor, gamma-counting or pharmacokinetic datasets, and name the data-transfer specifications and electronic case report forms you have handled. If you have exposure to dosimetry, nuclear medicine imaging or radioligand therapy, state it plainly, since the posting names these as desirable. Also show how you have tracked discrepancies through to resolution while keeping several study milestones on schedule.
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