Job Description:
As a Data Specialist in Quantitative Sciences & Innovation, Translational Medicine, you will work with clinical trial teams and enable them to leverage device-derived data within their studies via your work with mobile medical devices and very large multivariate clinical datasets and real-world data (e.g. medical claims). Where clinical needs are unmet by current methodology, you will work in close collaboration with analysts and data engineers to develop novel methods and software for data ingestion, integration, analysis and visualization. You will be bringing your relevant expertise to the group and help advance how Novartis conducts clinical trials. 1. Provide support to clinical trial teams, and consulting expertise to other project teams, working with digital mobile health devices. - Help advise on the selection of devices and provide guidance on implementation (data ingestion, integration and analysis) . - Ensure study design matches needs of the team . - Integrate with other clinical data sources and execute exploratory analysis and reporting 2. Contribute to and drive the development of new analytic methods in collaboration with internal Novartis Institutes for BioMedical Research and Pharma Development groups or external groups where existing practice is not sufficient to meet clinical needs, also collaborating with other data expertise groups (engineering, analysis, etc.) 3. Help define best practices for implementation of streaming/real-time/digital devices into studies 4. Maintain expertise in best practises for data handling especially as it applies to “big data” (data warehousing, data integration, archiving, scalable analysis solutions etc.) 5. Help implement an infrastructure that enables the Novartis Translational Medicine real-time/digital device vision in close collaboration with NIBR/Development IT 6. Independently seek out new sources of data that could be leveraged for Translational Medicine/Biomarker Development needs. *Minimum requirements: - Master degree or equivalent level education in biostatistics, bioinformatics, computer science, data science or other discipline requiring intense data analysis. - Advanced/fluent English Required: - Relevant professional experience such as medical informatics, clinical informatics or other forms of informatics. - Deep experience in one of more of: Exploratory Data Analysis techniques, Timeseries analysis and Machine Learning, visualization of complex/large datasets. - Deep expertise in R, unix, python. - Strong communications skills: used to representing your work and that of colleagues across your employer and a wider external audience (in this role, the external scientific community) via your natural collaboration/consensus building, influencing and negotiation skills. - Effective project management, prioritisation and multi-tasking skills. Highly desirable: - Demonstrable experience in clinical practice. - Demonstrable experience working with mobile digital devices. - Deep expertise in one or more of: unix, python, version control (Git/SVN). - Proficiency with several of: distributed and high performance computing, data visualization, data engineering, pipelining and wrangling tools. - Knowledge of data management approaches e.g. relational databases, object stores, column stores, triple stores, graph stores, document store.
Additional Info:
LOCATION: Basel (Switzerland) or Cambridge (Massachusetts, USA) - please state in your application letter which location(s) you apply for. The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.[Click Here to Access the Original Job Post]
As a Data Specialist in Quantitative Sciences & Innovation, Translational Medicine, you will work with clinical trial teams and enable them to leverage device-derived data within their studies via your work with mobile medical devices and very large multivariate clinical datasets and real-world data (e.g. medical claims). Where clinical needs are unmet by current methodology, you will work in close collaboration with analysts and data engineers to develop novel methods and software for data ingestion, integration, analysis and visualization. You will be bringing your relevant expertise to the group and help advance how Novartis conducts clinical trials. 1. Provide support to clinical trial teams, and consulting expertise to other project teams, working with digital mobile health devices. - Help advise on the selection of devices and provide guidance on implementation (data ingestion, integration and analysis) . - Ensure study design matches needs of the team . - Integrate with other clinical data sources and execute exploratory analysis and reporting 2. Contribute to and drive the development of new analytic methods in collaboration with internal Novartis Institutes for BioMedical Research and Pharma Development groups or external groups where existing practice is not sufficient to meet clinical needs, also collaborating with other data expertise groups (engineering, analysis, etc.) 3. Help define best practices for implementation of streaming/real-time/digital devices into studies 4. Maintain expertise in best practises for data handling especially as it applies to “big data” (data warehousing, data integration, archiving, scalable analysis solutions etc.) 5. Help implement an infrastructure that enables the Novartis Translational Medicine real-time/digital device vision in close collaboration with NIBR/Development IT 6. Independently seek out new sources of data that could be leveraged for Translational Medicine/Biomarker Development needs. *Minimum requirements: - Master degree or equivalent level education in biostatistics, bioinformatics, computer science, data science or other discipline requiring intense data analysis. - Advanced/fluent English Required: - Relevant professional experience such as medical informatics, clinical informatics or other forms of informatics. - Deep experience in one of more of: Exploratory Data Analysis techniques, Timeseries analysis and Machine Learning, visualization of complex/large datasets. - Deep expertise in R, unix, python. - Strong communications skills: used to representing your work and that of colleagues across your employer and a wider external audience (in this role, the external scientific community) via your natural collaboration/consensus building, influencing and negotiation skills. - Effective project management, prioritisation and multi-tasking skills. Highly desirable: - Demonstrable experience in clinical practice. - Demonstrable experience working with mobile digital devices. - Deep expertise in one or more of: unix, python, version control (Git/SVN). - Proficiency with several of: distributed and high performance computing, data visualization, data engineering, pipelining and wrangling tools. - Knowledge of data management approaches e.g. relational databases, object stores, column stores, triple stores, graph stores, document store.
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Additional Info:
LOCATION: Basel (Switzerland) or Cambridge (Massachusetts, USA) - please state in your application letter which location(s) you apply for. The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.[Click Here to Access the Original Job Post]