PpWe are seeking a motivated and dedicated Postdoctoral Scientist/Data Analyst to join our dynamic team. In this role, you will work with colleagues in the JJ Innovative Medicine RD 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. /ppThe Postdoctoral Scientist/Data Analyst should possess significant experience in R and R-Studio, with specific expertise in database management using PostgreSQL. Your responsibilities will include assisting in creating the analytic tool stack and performing related analyses. /ppKey Responsibilities: /pulliLead the development and evaluation of phenotypes (cohort definition algorithms) in collaboration with multidisciplinary teams. /liliAssist in building and maintenance of in-house and open-source tools, pipelines and resources. /liliDesign 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. /liliWrite study synopsis, protocol, report, methods and results sections for study documentation, registration, submission to health authorities and communication. /liliCommunicate findings and insights through reports, presentations, and publications. /liliStay up to date with the latest advancements in data science, epidemiology and healthcare informatics. /li /ulpQUALIFICATIONS /ppQualifications /ppEducation: /pulliMaster’s or PhD degree in Public Health, Epidemiology, Biostatistics, Data Science, Health/Biomedical informatics, Computer Science, or related quantitative field. /li /ulpExperience and Skills: /ppRequired: /pulliDemonstrated experience in analysis of large healthcare datasets/real-world data (EHR, insurance claims, registry data) /liliUser level skills on Observational Medical Outcomes Partnership (OMOP) common data model and OMOP/OHDSI tools (Darwin, ATLAS, Cohort Diagnostics, Athena, etc.) /liliProficiency in R programming language, R-Sstudio, with specific expertise in database management using PostgreSQL. Strong programming skills in Python is a plus. /liliProficiency in SQL for data manipulation and querying. /liliExceptional problem-solving skills and the ability to work both independently and collaboratively. /liliEffective communication, writing and presentation skills to communicate complex results to non-technical audiences. /li /ulpPreferred: /ppExperience in one or more of the following: /pulliDesigning/conducting observational studies /liliExploratory 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) /li /ulpOther: /pulliDuration: 12 months /liliLocation: Spain /liliAdditional Locations: United Kingdom; Belgium; Switzerland, Netherlands, France and Germany. Remote work options may be considered on a case-by-case basis and if approved by the company. /li /ulpJohnson Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. /ppFor more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit /p /p #J-18808-Ljbffr