The MDIS Medical Data Hub (MDH) Technical Specialists are experts in databases (e.g. Teradata/Hadoop/Redshift), big data solutions, analytical tools and technologies used to facilitate the use of medical data by analysts. The MDH Technical Specialists partner with Development / Research analysts and scientists to curate, load, and transform medical data (e.g. Flatiron EMR and Marketscan claims data). The MDH Technical Specialists develop tools, visualizations, and processes to facilitate access to medical data in the Medical Data Hub.
Responsible for the lifecycle (loading -> destruction) of data available in the Medical Data Hub
Works with vendors to resolve any data issues
Executes global & functional efforts related to improving access and usage of medical data
Actively contributes in PDB, MDIS and MDH forums
Maintains a strong partnership with partners inside and outside of PDB (e.g. PHC, Diagnostics, USMA, REDs)
Implements new and innovative technologies as appropriate to business need
Identifies opportunities to improve business processes, adheres to established business processes, and encourages consistent approaches to MDIS accountabilities
Responsible for support of MDH users and delivering MDH training
Familiar with Big Data systems/platforms (e.g. Hadoop and/or Teradata).
Strong knowledge of relational database principals and corresponding query language skills (e.g. SQL, NoSQL).
Knowledge of drug development (pre-clinical, clinical development and post-marketing) and experience with international regulatory and ICH GCP guidelines.
Experience with real world data, clinical trial data, molecular biomarker or genotype data
Knowledge / experience with data standards (CDISC, OMOP)
Excellent communication skills; ability to negotiate successfully; strong influencing skills.
Strong problem-solving skills and attention to detail. Thinks quickly under pressure.
Innovative thinker; open to new ideas; embraces and drives change.
Awareness of changing trends in industry.
Background/Experience and Education:
M.S. or advanced degree in Data Science related field (e.g. Statistics, Mathematics, Epidemiology, Health Economics, Outcomes Research, Computer Science)
Experience as an analyst (e.g. SAS, R, python, SQL) or with ETL processes & tools
Experience working with medical data
Good knowledge of English in a business environment
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A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry
for more than 40 years, using human genetic information to develop novel medicines for serious and
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