Senior Data Architect

Opportunity for a Senior Data Scientist within Digital Transformation Team. The Senior Data Scientist will work on a team of data scientists and engineers to deliver data science solutions. He or she will be responsible for working on complex problems in the field of life-saving implantable medical devices. He or she will use machine learning, artificial intelligence, statistical modeling, data mining, and visualization techniques to provide analytics solutions to a wide range of challenging projects. As a key member of the team, the candidate will develop solutions to curate and analyze large quantities of medical data. The candidate will work on projects that provide solutions to internal and external stakeholders. The candidate will collaborate effectively with internal stakeholders and cross-functional teams in India and the US. He or she will present solutions and insights in concise and effective manner to technical and non-technical audiences.

About This Role

In this “Senior Data Scientist “role, you are responsible for managing the acquisition, processing and analysis of non-Medical Devices sourced observational real-world data (RWD), including clinical, insurance claims, disease registry, electronic health / medical records (EHR / EMR) and syndicate corporate internal metadata & data. You’ll manage a wide portfolio of data types, with a goal of supporting diverse analyses across R&D. You will ensure data transfers follow quality standards and coordinate with other stakeholders in MEDICAL DEVICES COMMERCIALS, SCIENTIFIC, CLINICAL, REGULATORY AND QUALITY TEAMS to ensure acquisitions satisfy expected analysis plans. In addition, you’ll program analyses of the RWD, working with your observational data sciences colleagues, and stakeholders across Medical Devices, including epidemiologists, translational biologists, biomarker scientists and biostatisticians. These analyses will provide a better understanding of disease natural history, incidence / prevalence, co-morbidities, treatment patterns, and health and safety outcomes in ‘real world’ patient populations, across a wide variety of serious and unmet diseases. Your work will have great impact to research and early development, clinical development pipeline and marketed products.

What You’ll Do

As a Senior Data Scientist, you will :

• Conduct analyses and develop advance data science models pertaining to the application of the observational RWE data for diverse stakeholders using health outcomes focused algorithms and other observational studies to better understand disease natural history, incidence / prevalence, co-morbidities, treatment patterns, and health and safety outcomes in ‘real world’ patient populations and their commercial usage.
• Ensure data transfers follow quality standards and coordinate with other stakeholders in MEDICAL DEVICES COMMERCIAL, SCIENTIFIC, CLINICAL, REGULATORY AND QUALITY TEAMS to ensure acquisitions satisfy expected analysis plans.
• Define and implement data transfer, quality control and curation processes, and maintain the data quality pipeline.
• Work with other Global Data Sciences team members to ensure consistency of quality control methods and processes across disparate types of data sourced external to Medical Devices.
• Advise on the associated analyses plans using information developed in the execution of the data quality pipelines.
• Ensure information is surfaced to ensure the externally sourced data is fit for purpose.
• Collaborate with external vendors, Medical Devices partners and external organizations responsible for collecting the data.
• Develop systems, processes, and tools (pipelines) which impact enterprise use of our data assets and confirm data quality.

Who you are

You love analytics and are passionate about using observational real-world data to drive meaningful insight that inform the science that will defeat devastating cardiovascular & neurological diseases. You love learning new technological skills and collaborating with your team and stakeholders to make us leaders in the research and development of medicines to transform neuroscience to benefit society.

Qualifications

Minimum Required Skills

Preferred Desirable Skills