Responsible for developing and maintaining real-time transfer of critical non-clinical study data from internal studies, contract research laboratories, and other external partners into Novartis data systems. Represent Novartis in discussions with external partners and simplify complex data-transfer processes. Establishes and facilitates internal data QC and source-data verification processes to ensure consistency with data and to improve data quality by minimizing incidences of incomplete/ inaccurate data. Identify and resolve database gaps and drive process efficiency to deliver complete, high-quality data sets. Meet stakeholder data needs by enabling data mining and visualization to address key scientific questions.
Key Performance Indicators (Indicate how performance for this role will be measured)
– Reduced number of data quality/delivery incidents
– Maintain timely data transfers and other assigned deliverables
– Ability to provide innovative processes to identify data quality issues, and to have more efficient quality control processes
– Work on innovative solutions to reduce the time spent on data QC for visualization and data mining
Ideal Background (State the preferred education and experience level)
Education (minimum/desirable): Graduate/ Postgraduate in Life Sciences/ Computer Science/ Computer applications with 5/3 years relevant experience in preclinical data management.
Languages: English
Experience working with large data sets especially from the pharmaceutical industry for example (clinical pathology, in-life findings, toxicokinetic, pathology, genomics, etc.)
Experience using LIS, particularly Pristima or Provantis.
Competence with Business Intelligence data visualization tools (ex: Spotfire, GraphPad, Qlik)
Scripting experience (Python, R) is a plus
Other Competencies:
– Effective organizational skills (planning, training, time management)
– Excellent interpersonal and communication skills
– Strong attention to detail and data accuracy
– Thorough understanding of operations/procedures/equipment in the respective discipline (e.g., toxicology, pathology, data curation and management)
– Broad understanding of scientific and technical operations in Preclinical Safety
– Familiarity with CDISC SEND data
– Computer skills including data entry/auditing in system software, and strong skills in Microsoft windows-based software.
Skills Desired
Analytical Thinking, Bioinformatics, Clinical Data Management, Collaboration, Communication Skills, Critical Thinking, Data Analysis, Detail-Oriented, Ethics, Laboratory, Lifesciences, Organization, Problem Solving Skills, Regulatory Compliance, Reporting, Reports Writing, Technical Skills, Time Management Skills, Toxicology
Tagged as: Life Sciences
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