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Data Analyst R&D Data Science & Digital Health
Location:
Madrid
Description:
Johnson & Johnson is currently seeking a Data Sciences R&D to join our Data Science & Digital Health team located in Madrid/Barcelona. At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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 Key Responsabilities: * Assist in building and maintenance of in-house and open-source tools, pipelines and resources. * Collaborate in the design and implement data analysis studies/projects, including: data extraction and preprocessing tasks to prepare datasets for analysis, exploratory data analysis, innovative results/data visualization techniques, statistical and machine learning models. * Communicate findings and insights through reports, presentations, and publications. * Duration: 6 months * Weekly hours: 39 Education: * Currently pursuing master's, or PhD degree in Epidemiology, Public Health, Biomedicine, Pharmacy, Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering, Computational Biology, Biomedical Informatics, or related quantitative field. * Vocational training degree such as: "Técnico Superior en Administración de Sistemas Informáticos en Red", "Técnico Superior en Desarrollo de Aplicaciones Multiplataforma/Web". Experience and Skills: Required: * Demonstrated experience in analysis of large healthcare datasets/real-world data (EHR, insurance claims, registry data) * User level skills on OMOP common data model and OMOP/OHDSI tools (Darwin, ATLAS, Cohort Diagnostics, Athena, etc.) * Proficiency in R programming language. Strong programming skills in Python is a plus. * Strong technical communication and presentation skills. Preferred: Experience in one or more of the following: * Designing/conducting observational studies * Exploratory data analyses, statistical modeling, time-to-event analyses, comparative effectiveness analyses, causal inference methods to mitigate observed and residual confounding (e.g., propensity score matching/weighting, instrumental variables, state transition models) For more than 130 years, diversity, equity & inclusion (DEI) has been a part of our cultural fabric at Johnson & Johnson and woven into how we do business every day. Rooted in Our Credo, the values of DEI fuel our pursuit to create a healthier, more equitable world. Our diverse workforce and culture of belonging accelerate innovation to solve the world's most pressing healthcare challenges. We know that the success of our business - and our ability to deliver meaningful solutions - depends on how well we understand and meet the diverse needs of the communities we serve. Which is why we foster a culture of inclusion and belonging where all perspectives, abilities and experiences are valued and our people can reach their potential. At Johnson & Johnson, we all belong. #JNJEMEAStudentCareers #JNJEMEAFullTime
Company:
Johnson And Johnson
Posted:
June 26 on Equest
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