Scorpion Therapeutics
Principal Data Scientist, Real World Evidence (RWE)
Scorpion Therapeutics, Trenton, New Jersey, United States
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The Principal Data Scientist, Real World Evidence (RWE) will develop innovative real-world evidence solutions and critical insights to support clinical programs and regulatory submissions in Oncology, Immunology, or Neuroscience. The role collaborates with strategic partners in R&D Data Science and Digital Health and multidisciplinary teams within J&J Innovative Medicine to develop and implement evidence and insights to improve patient outcomes and enhance clinical development. The primary location for this position is flexible—Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA. Responsibilities
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 Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making Ensure RWE generation aligned with regulatory requirements and scientific standards Qualifications
Required: A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, or similar) Required: Relevant experience (2+ years for Ph.D., 4+ years for a master’s) within biopharma companies, RWE consulting firms, or other relevant healthcare industries Required: Extensive hands-on experience with data engineering and data analysis Required: Proven track record of consistently delivering on high impact data science projects Required: Expert proficiency in R and SQL Required: Excellent interpersonal, communication, and presentation skills Preferred: Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting Preferred: Familiarity 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 Education
Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, or similar)
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A free trial of our JobsAI will help! With over 2,000 biopharma executives loving it, we think you will too! Try it now — JobsAI. Role Summary
The Principal Data Scientist, Real World Evidence (RWE) will develop innovative real-world evidence solutions and critical insights to support clinical programs and regulatory submissions in Oncology, Immunology, or Neuroscience. The role collaborates with strategic partners in R&D Data Science and Digital Health and multidisciplinary teams within J&J Innovative Medicine to develop and implement evidence and insights to improve patient outcomes and enhance clinical development. The primary location for this position is flexible—Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA. Responsibilities
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 Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making Ensure RWE generation aligned with regulatory requirements and scientific standards Qualifications
Required: A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, or similar) Required: Relevant experience (2+ years for Ph.D., 4+ years for a master’s) within biopharma companies, RWE consulting firms, or other relevant healthcare industries Required: Extensive hands-on experience with data engineering and data analysis Required: Proven track record of consistently delivering on high impact data science projects Required: Expert proficiency in R and SQL Required: Excellent interpersonal, communication, and presentation skills Preferred: Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting Preferred: Familiarity 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 Education
Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, or similar)
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