DATA ANALYST INTERNSHIP

Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years.
We embrace research and science -- bringing innovative ideas, products, and services to advance the health and well-being of people.
Employees of Johnson & Johnson work with partners in health care to touch the lives of over a billion people every day, throughout the world.
Calling all big problem solvers and world-changers who want to drive their careers forward across more than 250 leading businesses in pharmaceutical and medical technology.
If you have the talent and desire to touch the world, Johnson & Johnson has the career opportunities to help make it happen.
We are seeking a motivated and dedicated Data Analyst Intern to join our dynamic team.
In this role, you will work with colleagues in the J&J Innovative Medicine R&D Data Science & Digital Health organization and partner with key businesses across JNJ Innovative Medicine (formerly Janssen) and external partners including the OHDSI/EHDEN networks, Public Private Partnerships such as IHI consortiums, to apply advanced data science and analytics to answer key research questions.
You will have the opportunity to work with large and diverse healthcare datasets, develop innovative analytical methods, and collaborate with experts in the field.
Key Responsibilities.
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.
Qualifications Qualifications Education.
Bachelor’s or Master’s 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.
., propensity score matching/weighting, instrumental variables, state transition models) Other.
Duration.
12 months Location.
Spain Madrid or Toledo You Belong at Johnson & Johnson For more than 130 years, diversity, equity & inclusion (DEI) have been part of our cultural fabric at Johnson & Johnson and woven into how we do business every day.
Our commitment to respect the dignity and diversity of all is embedded in our Credo.
We know that the success of our business depends on having the best talent in a workforce that reflects the diverse markets we serve around the world and an inclusive culture that values different perspectives and life experiences.
That is why we in EMEA are working to create an inclusive environment where diverse backgrounds, perspectives and experiences are valued and each and every one of our people feels that they belong and can reach their potential.
No matter who they are.
Diversity, Equity & Inclusion at Johnson & Johnson means “You Belong.” Johnson & Johnson Family of Companies are equal opportunity employers, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.