Job Description Summary

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.

2. 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

3. Identify and resolve database gaps and drive process efficiency to deliver complete, high-quality data sets.

4. Meet stakeholder data needs by enabling data mining and visualization to address key scientific questions

 

Job Description

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

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Ideal Background (State the preferred education and experience level)

Education (minimum/desirable):

Languages: Experience/Professional Requirement:

Graduate/ Postgraduate in Life Sciences/ Computer Science/ Computer applications with 5/3 years relevant experience in preclinical data management.

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