Principal Data Scientist, Real World Evidence

ph3Job Function /h3pData Analytics Computational Sciences /ph3Job Sub Function /h3pData Science /ph3Job Category /h3pScientific/Technology /ph3Locations /h3pBarcelona, Spain; Madrid, Spain /ph3Job Description /h3pJohnson Johnson Innovative Medicine RD Data Science and Digital Health are recruiting for a bPrincipal Data Scientist, Real World Evidence (RWE) /b.Madrid and Barcelona are considered locations.Hybrid work model./ppJJ Innovative Medicine develops treatments that improve the health of people worldwide.Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology.Our goal is to help people live longer, healthier lives.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./ppThe RD Data, Data Science AI, Real-World Evidence (RWE) team at JJ 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 RD Data, Data Science AI, as well as multidisciplinary teams within JJ Innovative Medicine, to develop and implement evidence and insights to improve patient outcomes and enhance clinical development in Neuroscience./ph3Key Responsibilities /h3ulliContribute to the development of a portfolio of RWE projects based on RWD that will provide key insights to our pipeline assets /liliLeverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data /liliEnd-to-end experience in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation /liliAnalyze and interpret data to support urgent requests from internal and external stakeholders /liliEnsure quality of design, execution, and publication of real-world evidence studies, and quality of models tools /liliCreate study protocols, statistical analysis plans, and statistical programming deliverables /liliClearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making /liliEnsure RWE generation aligned with regulatory requirements and scientific standards /li /ulh3Required Qualifications /h3ulliA Ph.D. degree, or master's degree in a quantitative field (e.g., biostatistics, AI Data Science, Bioinformatics, similar) /liliRelevant experience (2+ years for Ph.D., 4+ years for a master's) within biopharma companies, RWE consulting firms, or other relevant healthcare industries /liliExperience designing and executing studies using real-world healthcare data, such as claims, electronic health records (EHRs), or registries /liliExtensive hands-on experience with data engineering and data analysis /liliProven track record of consistently delivering on high impact data science projects /liliExpert proficiency in either R or Python, SPARQL, Cypher /liliExcellent interpersonal, communication, and presentation skills /liliExperience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting /liliFamiliarity with and exposure to drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmology /liliHands?on experience with graph neural networks and related graph ML methods for learning across large, heterogeneous, multi-domain graphs./liliHand?on bioinformatics experience running and interpreting results in a biological/disease context, including pathway or functional enrichment analysis./li /ulh3Preferred Qualifications /h3ulliDeep neuroscience domain expertise: in-depth knowledge of neurodegenerative, neuropsychiatric and ophthalmic diseases, clinical development, and trial design challenges /liliExperience in multi?omics including designing and interpreting large-scale proteomic studies, analyzing data from large biobanks to identify causal drivers and clinical relevancy /liliExperience integrating multi-modal data for holistic disease understanding and patient subtyping /li /ulh3Required Skills /h3pAdvanced 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 /ph3Preferred Skills /h3pAdvanced 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 /ph3Salary /h3p€61,****** - €106,****** /ph3Benefits /h3pIn addition to base pay, we offer the following benefits: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees' and companies' performance of the previous calendar year, or sales commissions.Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well?being reimbursement, programs for financial, physical and mental health.We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location's eligible dependents - can participate in several insurance plans.For more information, visit Employee benefits | Supporting well?being career growth | Johnson Johnson Careers./ppThis is for informative purposes only.Amounts and actual benefits may vary by location and are subject to change./p /p #J-*****-Ljbffr

ph3Key Responsibilities /h3ulliContribute to the development of a portfolio of RWE projects based on RWD that will provide key insights to our pipeline assets /liliLeverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data /liliEnd-to-end experience in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation /liliAnalyze and interpret data to support urgent requests from internal and external stakeholders /liliEnsure quality of design, execution, and publication of real-world evidence studies, and quality of models tools /liliCreate study protocols, statistical analysis plans, and statistical programming deliverables /liliClearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making /liliEnsure RWE generation aligned with regulatory requirements and scientific standards /li /ulh3Required Qualifications /h3ulliA Ph.D. degree, or master's degree in a quantitative field (e.g., biostatistics, AI Data Science, Bioinformatics, similar) /liliRelevant experience (2+ years for Ph.D., 4+ years for a master's) within biopharma companies, RWE consulting firms, or other relevant healthcare industries /liliExperience designing and executing studies using real-world healthcare data, such as claims, electronic health records (EHRs), or registries /liliExtensive hands-on experience with data engineering and data analysis /liliProven track record of consistently delivering on high impact data science projects /liliExpert proficiency in either R or Python, SPARQL, Cypher /liliExcellent interpersonal, communication, and presentation skills /liliExperience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting /liliFamiliarity with and exposure to drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmology /liliHands?on experience with graph neural networks and related graph ML methods for learning across large, heterogeneous, multi-domain graphs. /liliHand?on bioinformatics experience running and interpreting results in a biological/disease context, including pathway or functional enrichment analysis. /li /ulh3Preferred Qualifications /h3ulliDeep neuroscience domain expertise: in-depth knowledge of neurodegenerative, neuropsychiatric and ophthalmic diseases, clinical development, and trial design challenges /liliExperience in multi?omics including designing and interpreting large-scale proteomic studies, analyzing data from large biobanks to identify causal drivers and clinical relevancy /liliExperience integrating multi-modal data for holistic disease understanding and patient subtyping /li /ulh3Required Skills /h3pAdvanced 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 /ph3Preferred Skills /h3pAdvanced 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 /ph3Salary /h3p€61,****** - €106,****** /ph3Benefits /h3pIn addition to base pay, we offer the following benefits: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees' and companies' performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well?being reimbursement, programs for financial, physical and mental health.

ph3Job Function /h3pData Analytics Computational Sciences /ph3Job Sub Function /h3pData Science /ph3Job Category /h3pScientific/Technology /ph3Locations /h3pBarcelona, Spain; Madrid, Spain /ph3Job Description /h3pJohnson Johnson Innovative Medicine RD Data Science and Digital Health are recruiting for a bPrincipal Data Scientist, Real World Evidence (RWE) /b. Madrid and Barcelona are considered locations. Hybrid work model. /ppJJ Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. 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. /ppThe RD Data, Data Science AI, Real-World Evidence (RWE) team at JJ 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.