📋 Job Details at a Glance 📍 Location Hyderabad, India 🏢 Company Novartis 👥 Experience 0-2 years 🎓 Qualification Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Healthcare 🛠 Key Skills data flow data reconciliation data validation clinical data laboratory data imaging data gamma-counting data pharmacokinetic data RLT Dosimetry Data Flow Expert at Novartis — Full Details & How to Apply Novartis is hiring a RLT Dosimetry Data Flow Expert in Hyderabad, India for a role that involves managing data quality in radioligand therapy studies. This position is available for eligible batches of 2023, 2024, 2025, and 2026 graduates with a technical or engineering background. This RLT Dosimetry Data Flow Expert role ensures data integrity across clinical studies by handling data reconciliation , validation, and flow for radioligand therapy. The expert will work directly with clinical data , imaging data , gamma-counting data , and pharmacokinetic data to maintain consistency and accuracy throughout study processes. These activities support key milestones in oncology research and ensure reliable data flow from laboratory to clinical outcomes. The job posting confirms that Novartis is seeking candidates for a role focused on data quality in radioligand therapy. The position is part of a team that manages data from laboratory to clinical study stages. The role emphasizes technical data handling and collaboration with study teams and external partners. Novartis is a leader in healthcare innovation, with this role contributing to patient-focused oncology development. Candidates with a relevant technical or engineering background , 0–2 years of experience , and belonging to the 2023, 2024, 2025, or 2026 graduate batches are eligible. The salary for this role is Not Disclosed . This role provides hands-on experience in data flow , data reconciliation , data validation , clinical data , laboratory data , imaging data , gamma-counting data , and pharmacokinetic data . It offers a foundation in healthcare data operations and opens pathways into clinical data management and radiopharmaceutical research. Graduates can build a career in medical data science or clinical operations with direct exposure to oncology study workflows. 📊 Role Difficulty: [Difficulty] | Competition Level: [Competition] | Fresher Friendly: [Fresher Friendly] NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. RLT Dosimetry Data Flow Expert jobs in Hyderabad, India jobs are now available through Novartis recruitment . Apply online to join a role that supports clinical data integrity in oncology research. Job Role & Responsibilities The RLT Dosimetry Data Flow Expert at Novartis ensures accurate, end-to-end data flow for radioligand therapy studies by managing clinical data , laboratory data , imaging data , and gamma-counting data through standardized pipelines. This role directly impacts pharmacokinetic data integrity and data reconciliation outcomes in real-world clinical trials. Establish and maintain data flow pipelines for clinical data , laboratory data , and imaging data using defined data management practices and data validation protocols. Reconcile clinical data , laboratory data , and pharmacokinetic data across multiple sources using data reconciliation techniques to resolve discrepancies in gamma-counting data records. Validate imaging data and laboratory data against electronic case report forms and data-transfer specifications to ensure consistency in data validation outcomes. Identify data mismatches in gamma-counting data and clinical data by comparing pharmacokinetic data timelines and data validation thresholds to trigger investigations. Review final clinical data and vendor-provided dosimetry data to confirm compliance with study requirements and data flow standards. Support documentation of imaging data and pharmacokinetic data flows using structured templates and data validation logs for audit trails. Troubleshoot data flow failures in laboratory data and gamma-counting data by analyzing error logs and implementing data reconciliation fixes. Coordinate cross-functional reviews of clinical data and imaging data with study teams to validate data validation outputs and ensure data flow continuity. This role demands direct ownership of data reconciliation processes and data validation outcomes, with every decision impacting pharmacokinetic data accuracy and clinical data integrity in Novartis trials. Required Skills & Technical Competencies The RLT Dosimetry Data Flow Expert must possess core technical competencies in data flow , data reconciliation , and data validation to manage complex clinical data , laboratory data , imaging data , and gamma-counting data in radioligand therapy studies. Technical Skills Data flow — entry — used to design and maintain structured pipelines for clinical data , laboratory data , and imaging data in pharmacokinetic data workflows. Data reconciliation — entry — applied to align gamma-counting data with pharmacokinetic data and clinical data across study timelines. Data validation — entry — executed to verify laboratory data and imaging data against electronic case report forms and data-transfer specifications . Clinical data — entry — handled in real-time data flow systems to ensure consistency with pharmacokinetic data and gamma-counting data records. Laboratory data — entry — validated against data reconciliation rules and data validation thresholds in radioligand therapy trials. Imaging data — entry — processed through data flow pipelines and compared to pharmacokinetic data for consistency checks. Gamma-counting data — entry — reconciled with clinical data and pharmacokinetic data using data validation rules and error logs. Pharmacokinetic data — entry — used as a reference point in data reconciliation and data validation to ensure temporal alignment with imaging data . When showcasing these skills, emphasize hands-on experience with data reconciliation in clinical data or gamma-counting data workflows, and highlight specific tools or systems used in academic or internship projects. Eligibility Criteria This role is designed for freshers with a technical or engineering background who have completed a degree in relevant technical fields and are part of the 2023, 2024, 2025, or 2026 eligible batches. Must hold a degree in engineering or a technical discipline such as computer science, biotechnology, or biomedical engineering. Must be from the 2023, 2024, 2025, or 2026 academic batch. Experience requirement is 0 to 2 years , making it accessible to entry-level candidates with no prior industry exposure. No CGPA threshold is specified, indicating broad academic eligibility. Must have a portfolio demonstrating technical work in data validation , data flow , or data reconciliation projects. Must be able to provide documentation of academic projects involving clinical data , laboratory data , or imaging data handling. Documentation & Portfolio Requirements Your resume must include a clear section on academic projects involving data validation , data flow , or data reconciliation , with specific tools or datasets used (e.g., Python scripts, Excel models, lab data logs). Include pharmacokinetic data or gamma-counting data simulations as evidence of technical engagement. Pro tip: Focus on a project where you processed or validated laboratory data or imaging data using data reconciliation logic — even in a simulated environment — to demonstrate direct technical competence in radioligand therapy data handling. Salary for RLT Dosimetry Data Flow Expert at Novartis 💰 Compensation Not Disclosed The advertised compensation for the RLT Dosimetry Data Flow Expert role at Novartis is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for RLT Dosimetry Data Flow Expert Upskilling with the right resources significantly enhances your chances of selection for this specialized role. Recommended Courses & Resources data reconciliation — Essential for mastering the data management skills required in this role. KodNest — Provides hands-on experience with data flow and validation techniques relevant to healthcare. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in data reconciliation or validation — Ensure your resume highlights relevant experience. ❌ Using a generic resume — Tailor your resume to emphasize relevant skills and experiences. ❌ Listing technologies like gamma-counting data without context — Provide specific examples of where you applied these technologies. ❌ Ignoring qualification and experience requirements — Verify that you meet all specified criteria before applying. ❌ Adding unrelated technologies or unsupported claims — Stick to relevant experiences that can be substantiated. ❌ Applying without verifying the official Apply URL — Always check the job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for RLT Dosimetry Data Flow Expert Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include data flow data reconciliation data validation clinical data laboratory data imaging data gamma-counting data pharmacokinetic data dosimetry oncology data quality study teams Resume Tips for This Role Highlight the data reconciliation and validation skills prominently on the resume. Include experience with clinical, laboratory, and imaging data to align with job responsibilities. Showcase relevant projects or internships that involved data management or analysis. Use exact keywords from the job description naturally to improve ATS alignment. Avoid adding unsupported claims or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated experiences or unsupported claims in your resume for this role. How to Apply for RLT Dosimetry Data Flow Expert at Novartis Apply Now — Novartis Open the official Apply URL and confirm the job title and company matches the position you're applying for. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job description. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or your registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Novartis NexisGrow.com does not charge any fees for job applications. Novartis Novartis is a healthcare company based in Hyderabad, India, operating in a hybrid work mode. It specializes in oncology solutions through innovative therapies and data management. This role supports scientific data integrity within radioligand therapy and imaging studies. The team ensures data quality by reconciling and validating clinical, laboratory, imaging, gamma-counting, and pharmacokinetic data . They review data flows, resolve discrepancies, and support study milestones across internal and external partners. This role contributes to the end-to-end data management in oncology development, ensuring reliable insights from radioligand therapy and imaging studies. It supports key scientific assessments through structured data validation and flow processes. Early-career professionals gain hands-on experience with data flow , reconciliation, and validation across clinical and laboratory data . This exposure builds foundational skills in healthcare data integrity and scientific data management. Company Details Industry Healthcare Location Hyderabad, India Connect With Us Careers Apply Now Website 🔗 novartis.wd3.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical or engineering background from the eligible batches of 2023, 2024, 2025, and 2026, with 0-2 years of experience. ? What technical skills are most important for this role? Skills Tap to expand + Answer Key skills include data flow, data reconciliation, data validation, clinical data, laboratory data, imaging data, and gamma-counting data. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer Review the job responsibilities, familiarize yourself with data reconciliation and validation processes, understand clinical data management, prepare to discuss relevant projects, and align your resume with the job description. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer The work mode is hybrid, allowing for both onsite and remote work. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to data management processes, collaboration with study teams, and the opportunity to work with various data types in healthcare. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Emphasize skills in data reconciliation, validation, and experience with clinical and imaging data. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with study teams and external partners, focusing on data quality and integrity. ? Can freshers apply for this role? Fresher Tap to expand + Answer Yes, the role is open to freshers with a relevant technical background and 0-2 years of experience. 🔗 Explore More on NexisGrow More jobs in Hyderabad Browse all Tech jobs Latest Fresher jobs More jobs at Novartis Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com