Data Scientist
Company Name:-
Sanofi
Job Location:-
Hyderabad, Telangana
Job Summary:-
Data Scientist will execute advanced computational approaches to accelerate and optimize evidence-based pharmaceutical product development.
He/She will leverage high-dimensional population health data to support R&D, Medical, HEVA, commercial product development, access and business strategy.
The Data Scientist will generate analytics required by healthcare decision makers to support patient access and use of Sanofi medicines and he/she will contribute to the insights required by Sanofi internal teams to develop and commercialize the most impactful medicines.
People
Perform database analyses for general medicines teams.
Performance
Leverage database analytics involving large datasets to refine and improve data models.
Process
Apply a broad array of capabilities database analysis, statistics, text-mining/NLP to structured and unstructured healthcare data sources, pre-clinical, clinical trial and complementary real-world information streams.
Provide responses to prioritized database queries on a structured and ad hoc basis
Work on a variety of team-based projects providing expertise in analytical and computational approaches.
Required Skills & Experience
Experience with open source technologies, ML libraries, and programming languages (R, python)
An ability to interact with a variety of large-scale data structures e.
g.
HDFS, SQL, noSQL
Experience working across multiple compute environments to create workflows and pipelines (e.
g.
HPC, cloud, Linux systems)
Experience with any of the following: biomedical data types/population health data/real world data/novel data streams.
Strong oral and written communication skills
A demonstrated ability to work and collaborate in a team environment
Desirable Skills & Experience
Experience with reproducible and collaborative technology platforms (e.
g.
GitHub, containers, Jupyter notebooks)
Experience with big data analytics platforms and/or workflow tools
Exposure to NLP technologies and analyses
Knowledge of some datavis technologies (ggplot2, shiny, plotly, d3, Tableau or Spotfire)
Qualifications
PhD or ScD in quantitative field such as Health Services research, Medical Economics, Medical Informatics, Biostatistics, or Computer Science, computer engineering or related field
R
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