04 oct
|
Ju0026J Family of Companies
|
Madrid
04 oct
Ju0026J Family of Companies
Madrid
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. Data Analytics &
• Computational Sciences Data Science Johnson &
• Johnson Innovative Medicine R&D; Data Science and Digital Health are recruiting for a Principal Data Scientist, Real World Evidence (RWE) . Hybrid work model. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. The R&D; Data, Data Science &
• AI, Real-World Evidence (RWE) team at J&J; Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources including RWD, trial data and emerging innovative data sources, to support our clinical programs and regulatory submissions.
The Principal Data
Scientist will collaborate closely with strategic partners in R&D; Data, Data Science & AI, as well as multidisciplinary teams within J&J; Innovative Medicine, to develop and implement evidence and insights to improve patient outcomes and enhance clinical development in Neuroscience. Contribute to the development of a portfolio of RWE projects based on RWD that will provide key insights to our pipeline assets Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data End-to-end experience in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation Analyze and interpret data to support urgent requests from internal and external stakeholders Ensure quality of design, execution, and publication of real-world evidence studies, and quality of models & tools Create study protocols, statistical analysis plans, and statistical programming deliverables D. degree,
or master's degree in a quantitative field (e.g., computational biology, Bioinformatics, biostatistics, Data Science, similar) Experience in multi-omics including designing and interpreting large-scale proteomic studies, analyzing data from large biobanks to identify causal drivers and clinical relevancy Relevant experience (PhD with 2+ years experience) within biopharma companies, RWE consulting firms performing contextualization, subtyping and treatment patterns analysis integrating RWE, - Omics data and/or other data modalities Hand-on bioinformatics experience running and interpreting results in a biological/disease context, including pathway or functional enrichment analysis.
Experience designing and executing studies using real-world healthcare data, such as claims, electronic health records (EHRs), or registries Extensive hands-on experience with data engineering and data analysis Expert proficiency in either R or Python, SPARQL, Cypher Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting Hands-on experience with graph neural networks and related graph ML methods for learning across large, heterogeneous, multi-domain graphs. #Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the presente amount is based on the employees' and companies' performance of the previous calendar year, or sales commissions.
📌 Data Scientist (hybrid) (Madrid)
🏢 Ju0026J Family of Companies
📍 Madrid