Principal Clinical Data Scientist
Novartis is hiring a Principal Clinical Data Scientist in Hyderabad, India. Level rates it ; you can apply on Novartis.
Level's read on this job
- Little AI ●○○○ is how Level rates this data scientist role: aI is not part of the work.
- Level classifies it as a lead role.
- Level lists 852 other open roles at Novartis.
- The role was posted in the last few days.
AI in this role
Job Description Summary
-Responsible and accountable for managing all Data Mgmt/Coding / CDD/DAP aspects of several studies, a medium to large sized project or project level activities at a consistently high standard. The position is a key collaborator and strategic partner with stakeholders ensuring that pharmaceutical drug development plans in Novartis Global Drug Developnment are executed efficiently with timely and high quality deliverables. Conceptualize and implement, in a scalable way, appropriate training delivery models and platforms for end-to-end deliverables. Follows and oversees -Good Clinical Practices (GCP), data-handling procedures & guidelines. Ensure consistency across assigned program to aid efficiencies for submissionsParticipates in the review of clinical research protocols, reports and statistical analysis plans. Leads quality deliverables across platforms. Develops simple and reproducible strategies to ensure quality deliverables,
Job Description
Major accountabilities:- Lead functional activities for a medium to large sized project in phase I to IV clinical studies in Novartis Global Development Organization.
- Co-ordinate activities of Data Managers either internally or externally.
- Make data Mgmt decisions and propose strategies at study or project level.
- Ensure application of consistent data Mgmt processes, influence increased standardization and documentation across assigned project/programs -Comply with company, department and industry standards and processes.
- Provide and implement data Mgmt solutions; ensure knowledge sharing.
- Leads process and training deliverables within multiple platforms, franchises or therapeutic areasDevelops strategies to ensure effective training and knowledge retention.
- Progresses DO towards complete, compliant, agile and simple end to end processes and effective training (Protocol/Measure through Analysis and Reporting).
- Drives towards agreed deliverables, proactively addressing potential issues before they become problematic -Build and maintain effective working relationship with cross-functional teams, able to summarize and discuss status of deliverables and critical data Mgmt aspects.
- Represents DO in all audits and inspections, centralizing and aligning the team in audit preparation, readiness and response.
- Act as subject matter expert (SME) or, as assigned, lead process improvement/non clinical project initiatives.
- Develops risk Mgmt strategies to prevent data quality/coding issues from derailing projects -Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt -Distribution of marketing samples (where applicable)
- Achieve high level of quality, timeliness, cost efficiency and customer satisfaction across Data Mgmt activities and deliverables.
- No critical audit findings due to Data Mgmt -Effectiveness of participation in internal and external networks/initiatives.
- Adherence to Novartis policy and guidelines -Customer / partner/ project feedback and satisfaction
Skills Desired
Clinical Data Management, Data Architecture Development, Data Governance, Data Integration, Data Management, Data Profiling, Data Quality, Data Science, Master Data, Waterfall ModelHow we rate this
Principal Clinical Data Scientist at Novartis rates 34 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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Pay
- Typical data scientist job
- $168k
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