Johnson & Johnson
Senior Director, Real World Evidence Hematology-Oncology, Data Science & Digital
Johnson & Johnson, Titusville, New Jersey, us, 08560
Job Description - Senior Director, Real World Evidence – Hematology-Oncology, Data Science & Digital Health (2406217950W)Senior Director, Real World Evidence – Hematology-Oncology, Data Science & Digital Health - 2406217950WDescriptionThis role will direct and lead efforts to bring innovative approaches to the use of Real World Evidence (RWE) to the Oncology Clinical Development Teams. You will have global leadership responsibilities for a wide range of activities, including capability and talent development, resource management and deployment, and supporting an organizational culture that promotes data-driven decision-making across all functions of Johnson & Johnson Innovative Medicine – R&D Oncology. You will be a thought leader within Janssen R&D in the field of pragmatic use of RWE in the drug development process. This role will develop and implement elegant applications with RWE to solve complex problems facing all stages of drug development. This will require gaining alignment with project teams, leadership and with external stakeholders in developing novel scientific approaches to advance the business.Primary Location : New Brunswick, NJ; will consider other J&J locations and Remote.Specific challenges in this role will include identifying novel applications for RWE in the drug development process, identifying, procuring and curating suitable data sets, and organizing analytic efforts to achieve these goals. Understanding and aligning with drug development team goals is essential. The role requires both a broad knowledge of drug development, including clinical trials and application of RWE in drug development. Creativity to invent and customize will be necessary. You'll be part of a dynamic, accomplished team that supports the development of novel medicines at Johnson & Johnson Innovative Medicine – Hematology Oncology R&D.Responsibilities
Be responsible for partnering with cross functional compound development teams in building and implementing RWE plans to support clinical/research objectives throughout the drug development lifecycle.Actively manage and communicate RWE plans for compound development teams. This will include seeking and managing feedback with internal and external stakeholders.Develop data requirements to meet RWE objectives. This will include both regulatory-grade and observational research data sets.Coordinate with internal and external partners to execute high impact RWE studies. This includes identifying and procuring data sets for bespoke applications. Also, the candidate will be responsible for liaising with external partners including regulatory agencies.Work with clinical and Data Science teams and external partners to execute analytics on RWE studies.In some cases, the candidate will be responsible for communicating scientific results, interpreting RWE-based studies and projecting implications of RWE-based studies.Qualifications:
Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience in pharmaco-epidemiology, statistics, computational science, outcomes research or related field in health care area.At least 10 years of relevant industry or professional experience is required.Experience working in multiple therapeutic areas - experience in Oncology, Hematology highly preferred.Preferred:
Proficiency with regulatory submissions and interaction.Fluency in basic in data analytic/statistical techniques/applications.Experience with novel, innovative approaches to drug development is an asset.The anticipated base pay range for this position is $163,000 to $282,900.Johnson & 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.#LI-GR1#JRDDS
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Be responsible for partnering with cross functional compound development teams in building and implementing RWE plans to support clinical/research objectives throughout the drug development lifecycle.Actively manage and communicate RWE plans for compound development teams. This will include seeking and managing feedback with internal and external stakeholders.Develop data requirements to meet RWE objectives. This will include both regulatory-grade and observational research data sets.Coordinate with internal and external partners to execute high impact RWE studies. This includes identifying and procuring data sets for bespoke applications. Also, the candidate will be responsible for liaising with external partners including regulatory agencies.Work with clinical and Data Science teams and external partners to execute analytics on RWE studies.In some cases, the candidate will be responsible for communicating scientific results, interpreting RWE-based studies and projecting implications of RWE-based studies.Qualifications:
Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience in pharmaco-epidemiology, statistics, computational science, outcomes research or related field in health care area.At least 10 years of relevant industry or professional experience is required.Experience working in multiple therapeutic areas - experience in Oncology, Hematology highly preferred.Preferred:
Proficiency with regulatory submissions and interaction.Fluency in basic in data analytic/statistical techniques/applications.Experience with novel, innovative approaches to drug development is an asset.The anticipated base pay range for this position is $163,000 to $282,900.Johnson & 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.#LI-GR1#JRDDS
#JNJDataScience#JRD#LI-Hybrid
#J-18808-Ljbffr