Data Curator

Job description

  Job facts

Purpose:

The Data Curator conducts acquisition and disposition activities related to biomedical data. Such data may be collected from various sources, in diverse formats, using different modalities. He/She supports the specification, acquisition, organization, checking and annotation of said data using specified standards, thus ensuring high quality and QC'd data are cataloged and stored in a defined location or system. Thereby data remains discoverable, usable, and is preserved over time.

Primary responsibilities:

·  Work with relevant internal staff to plan which data will be loaded for what purpose, and define the required quality control steps.
·  Direct interface with electronic data providers. E.g. involvement in RFP (request for proposal), input into SOW (scope of work), defining DTA (data transfer agreement) as well as defining FFS (file format specifications).
·  Manages acquisition of electronically loaded data.
·  Understand the context underlying each data type targeted for acquisition, in order to ensure that the data quality is fit for purpose.
·  Assess loaded data for quality and conformance, performs discrepancy management, reconciliation and takes appropriate action with data provider for query resolution.
·  Work with appropriate internal staff in the development and implementation of data standards and processes to ensure data quality.
·  Track and record data. Enable controlled access to pre-processed analysis data sets (e.g. biomarker data that have already been integrated with a subset of the clinical database annotations)
·  Ensure clear descriptions of the nature and provenance of source data; reproducibility of analyses; and a list of contacts.
·  Provide the organization with understanding of the decision-making process for data access, and suggested best practices for informing data providers of shared data use.

Required Technical Qualifications, Experiences and Competencies.

·  BSc or MSc in Life Sciences, Bioinformatics, Biostatistics, Computer or Data Science or an alternative subject.
·  Good knowledge of English in a business environment and good communication skills – both written and oral.
·  Knowledge of the UNIX operating system and experience in a scripting language (e.g. bash, R, perl or python).
·  Knowledge of CDISC data standards.
·  Knowledge of ICH-GCP and working in regulated environments.
·  Knowledge of basic biological principles and the pharmaceutical development process (including clinical trials, patient level datasets and study documentation).
·  Awareness of Patient-level Data Access principles.
·  Understanding of major internal and external trends and challenges, within a particular therapeutic area, also at a product/compound level, and across diverse areas of the business.
·  Project Management skills.
·  Systematic, structured, and pragmatic approach to tasks, with good attention to detail.
·  Able to deal positively with multiple requests and priorities.
·  Collaborative. Works to identify solutions that address current and future needs and different stakeholders needs.
·  Demonstrated leadership capabilities around decision-making, negotiation, motivation (self and others) and influencing.
·  Flexible. Deals positively with ambiguity and finds appropriate solutions.
·  Entrepreneurial mindset.

Additional requirements.
Technical Qualifications, Experiences and Competencies.

·  Practical experience of clinical trial design, conduct and reporting.
·  Experience with existing in-house tools
·  Fundamental understanding of relational database systems and SQL

·  Who we are

At Roche, 94,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we've become one of the world's leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

Roche is an equal opportunity employer.