Level

Novartis

RLT Dosimetry data flow expert

Novartis is hiring an RLT Dosimetry data flow expert in Hyderabad, India. Level rates it ; you can apply on Level.

AI in this role

Manage end-to-end delivery, review, and validation of clinical, imaging, and pharmacokinetic data for radioligand therapy studies.

data-reconciliationclinical-datadata-validationoncology-dosimetrypharmacokinetics

Job Description Summary

Role Type: Hybrid Working, #LI-Hybrid
Location: Hyderabad, India
Relocation Support: Yes

What if your expertise could help turn complex radioligand therapy data into reliable insights for oncology development? As an RLT Dosimetry Data Flow Expert, you will support the end-to-end delivery and review of dosimetry, imaging, gamma-counting, radiometabolite, and pharmacokinetic data. Working under guidance and across study teams, internal functions, and external partners, you will help maintain data quality, resolve issues, support key study milestones, and improve how scientific data flow across radioligand therapy and imaging studies.


 

Job Description

Key Responsibilities 

  • Establish and maintain radioligand therapy dosimetry data flows in line with agreed roles and responsibilities.
  • Review electronic case report forms, study guidance, manuals, and data-transfer specifications supporting scientific assessments.
  • Reconcile and validate clinical, laboratory, imaging, vendor, gamma-counting, and pharmacokinetic datasets.
  • Identify data discrepancies and coordinate timely 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 implementation of lessons learned.
  • Ensure activities meet applicable procedures, quality standards, data-integrity expectations, and safety requirements.

Essential Requirements

  • 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, with the ability to support multiple study activities and milestones.
  • Effective communication and collaboration skills for working across internal functions, study teams, and external partners.
  • Understanding of regulated working practices, quality requirements, data integrity, and procedural compliance.

Desirable Requirements

  • 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.

Why Novartis

Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture


Benefits and Rewards

Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)


 

Skills Desired

Adobe Photoshop, Chemistry, Collaboration, Compensation Management, Curious Mindset, Data Pipelines, Drug Development, Employee Recruitment, Flexible Mindset, Oscilloscope, Patient Care, Sales, Small Businesses, Teamwork

How we rate this

RLT Dosimetry data flow expert at Novartis rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ReconciliationClinical DataData ValidationOncology DosimetryPharmacokinetics

Questions you could be asked

  1. Tell me about a project where data reconciliation was part of your work. What did you do?
  2. Tell me about a project where clinical data was part of your work. What did you do?
  3. Tell me about a project where data validation was part of your work. What did you do?
  4. Tell me about a project where oncology dosimetry was part of your work. What did you do?
  5. Tell me about a project where pharmacokinetics was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Reconciliation, Clinical Data, Data Validation, Oncology Dosimetry, and Pharmacokinetics. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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