Clinical Data Scientist (Princeton, NJ), Otsuka Pharmaceutical Development & Commercialization, Inc.Responsibilities: Work alongside statisticians and data management to perform in-depth exploration of raw data collected from various sources, such as clinical trials, real-world, and public domain data. Guide evidence-based product development by extracting therapeutic intelligence from such data sources.Use strong programming skills for data analysis involving cleaning and transforming raw data, creating insightful visualizations, designing new attributes, studying data quality, correlations and distributions, and quantifying results.Implement advanced machine learning techniques (classification, regression, clustering) to train predictive models, identify patterns and trends, tune model performance, and handle overfitting.Perform post-prediction analysis by evaluating training model’s performance, interpret model decisions and insights, and use model predictions to influence future decisions such as clinical trial design. Communicate analytical results and findings to cross-functional teams.Support software development projects at various levels, review/plan clinical studies across multiple CNS programs, and conducting analyses related to time series modeling, supervised and unsupervised learning techniques, Bayesian methodologies, and others.Identify and communicate novel analytical and data strategies to support clinical programs.Work closely with stakeholders interfacing with clinical data to identify, enhance, and support the quantitative and technological needs for all Otsuka projects.Provide statistical and modeling support for planning and implementing clinical studies/programs to meet the needs of patients, regulatory agencies, and clinicians.Develop innovative computational methods when existing tools are not the most appropriate fit.Provide solutions of clinical utility by leveraging internal and external data sources.Guide evidence-based product development (digital/non-digital) by extracting therapeutic intelligence from such data sources.Requirements:Master’s degree in Computer Science, Electrical Engineering, Statistics, Mathematics or a related quantitative field.Three (3) years of experience with Python packages and R packages for data mining, statistical analysis, and predictive modeling.Three (3) years of experience in healthcare domain, patient health data, predictive analytics on patient data.Three (3) years of experience using a data query language such as SQL.One (1) year of experience with clinical trials in areas of Central Nervous System & Nephrology, including working with essential regulatory documents, clinical trial protocols, amendments, eCRFs, investigators brochure, clinical trial development process, study design, and data capture.One (1) year of experience in data analysis and exploration of clinical trial data, including phase 1-4 clinical trials, ADaM (Analysis Data Model) datasets, SAS datasets, SDTM (Study Data Tabulation Model) and various SDTM domains.One (1) year of experience in end-to-end predictive modeling in pharmaceutical domain, including applying artificial intelligence to predict patient outcomes and improve clinical trial designs.One (1) year of experience with Real World Data (RWD) and insurance claims data.One (1) year of experience working with SAS.One (1) year of experience building dashboards focused on the pharmaceutical domain.Interested candidates should contact Carole.McDonald-CW@otsuka-us.com.