Job Description

Johnson & Johnson is currently seeking a RWD Data Scientist, to join our Data Science and Digital Health function Innovative Medicine Research & Development located in Hyderabad/ Bangalore, India. Remote work may be considered case-by-case and if approved by the Company.



At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/ .



The RWD Data Scientist, will work with real world data sets to identify cohorts using complex queries in order to inform site identification strategies, diversity planning, patient journeys and protocol optimization. Working with the Director, Global Data Science, Portfolio Management, you will use your deep RWD expertise and pharmaceutical industry knowledge to advance the use of real-world data to improve clinical trial productivity and efficiency.



Major responsibilities include building complex cohort queries in SQL against multiple differently formatted databases. Building sophisticated and informative visualizations for study teams including heat maps, Sankey diagrams, and other charts.



Major responsibilities include cohort creation, site list and diversity analysis, building visualizations for patient journeys and localization, and process automation for cohort creation.



Responsibilities:


• Act as a hands-on cohort builder with SQL queries against targeting differently formatted data sets.
• Creating and integrating site lists with information about physicians, practice sites, patient counts, diversity, and other metrics used in site selection.
• Supporting the creation of diversity plans.
• Creation of RWD study dashboards
• Build visualizations for cohort such as heat maps, Sankey diagrams.
• Participate in project teams and collaborate working closely with data science, and clinical study teams to optimize queries and create desired output.





Qualifications
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• Master's degree in a quantitative field such as computer science, epidemiology (preferred), computational biology, statistics, or a related discipline.
• At least 3 years of relevant experience in healthcare or life sciences industry is required
• At least 3 years of relevant hands-on data science experience in an R&D environment, commercial, medical affairs, scientific affairs and/or is required
• Familiarity with medical coding (ICD-10, LOINC, SNOMED, NDC, etc.)_
• Familiarity with large datasets, understanding of data analysis workflows, and/or knowledge of querying languages such as SQL is required.
• Handling of healthcare relevant datasets, such as EHR, insurance claims or registry data, is required.
• Proficient with one or more programming language such as Python (preferred), R, C++, or Java is required.
• Experience with visualization software/tools such as R, Spotfire, Tableau, etc. is preferred
• Strong problem-solving skills with a solution-oriented mindset
• Excellent communication, interpersonal, and written skills are required