Johnson Johnson Innovative Medicine is recruiting for Director RD Data Science, Real-World Evidence (RWE) Statistics. The position can be located in Titusville, NJ; Spring House, PA; San Diego, CA; Boston, MA; or South San Francisco, CA.
Johnson Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. 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. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine.
The Data Science and Digital Health Analytics Insights team within Johnson and Johnson Innovative Medicines develops innovative insights and solutions bringing to bear a variety of different data sources across multiple disease areas. We are looking for outstanding scientist and leader who provides cross therapeutic area RWE expertise and whose responsibilities include:
· Independently lead, manage, and mentor a multidisciplinary team of Data Science Real World Evidence Analytics and Insights scientists to influence strategy and execute on the priorities, building a roadmap to deliver the projects from data feasibility, study design and analysis, to final presentation to senior cross-functional leaders.
· Partner with the Data Science Therapeutic Area leaders to conceptualize, lead, shape and deliver Real World Evidence, and advanced analytics solutions and insights for prioritized use cases.
· Be a hands-on technical leader instituting best practices, and developing common technical tools, while crafting a data-driven culture, of accelerating, scaling and prodcutionalizing deliverables while mentoringand educatingthe RWE and advanced analytics team in the adoption of technical best practices and common tools.
· Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enables RWE data scientists to accelerate delivery and scale common deliverables.
· End-to-end expertise in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, and interpretation.
· Provide thought leadership and hand-on expertise for developing, adapting and delivering Real-World Data (“RWD”) methodologies to mitigate observed and unobserved bias and confounding in the execution of comparative effectiveness analyses, time-to-event analyses, external control arm studies, hybrid control arm studies, retrospective and prospective study designs and matching-adjusted indirect treatment comparisons.
· Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables, and figures using appropriate statistical analysis software while instituting best practices for execution across the broader team.
· Develop an RWE strategy that distinguishes Data Science Analytics Insights through validating real-world methods and developing novel designs leading to intellectual property patents or publication.
· Experience creating pipelines, functions, packages to perform frequently used actions and/or deliverables across broad group of stakeholders.
Johnson Johnson Innovative Medicine is recruiting for Director RD Data Science, Real-World Evidence (RWE) Statistics. The position can be located in Titusville, NJ; Spring House, PA; San Diego, CA; Boston, MA; or South San Francisco, CA.
Johnson Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. 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. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine.
The Data Science and Digital Health Analytics Insights team within Johnson and Johnson Innovative Medicines develops innovative insights and solutions bringing to bear a variety of different data sources across multiple disease areas. We are looking for outstanding scientist and leader who provides cross therapeutic area RWE expertise and whose responsibilities include:
· Independently lead, manage, and mentor a multidisciplinary team of Data Science Real World Evidence Analytics and Insights scientists to influence strategy and execute on the priorities, building a roadmap to deliver the projects from data feasibility, study design and analysis, to final presentation to senior cross-functional leaders.
· Partner with the Data Science Therapeutic Area leaders to conceptualize, lead, shape and deliver Real World Evidence, and advanced analytics solutions and insights for prioritized use cases.
· Be a hands-on technical leader instituting best practices, and developing common technical tools, while crafting a data-driven culture, of accelerating, scaling and prodcutionalizing deliverables while mentoringand educatingthe RWE and advanced analytics team in the adoption of technical best practices and common tools.
· Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enables RWE data scientists to accelerate delivery and scale common deliverables.
· End-to-end expertise in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, and interpretation.
· Provide thought leadership and hand-on expertise for developing, adapting and delivering Real-World Data (“RWD”) methodologies to mitigate observed and unobserved bias and confounding in the execution of comparative effectiveness analyses, time-to-event analyses, external control arm studies, hybrid control arm studies, retrospective and prospective study designs and matching-adjusted indirect treatment comparisons.
· Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables, and figures using appropriate statistical analysis software while instituting best practices for execution across the broader team.
· Develop an RWE strategy that distinguishes Data Science Analytics Insights through validating real-world methods and developing novel designs leading to intellectual property patents or publication.
· Experience creating pipelines, functions, packages to perform frequently used actions and/or deliverables across broad group of stakeholders.
Required qualifications:· A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, statistics, or biostatistics )
· At least 6 years of relevant experience within start-up, technology, biopharma or healthcare industries, or highly relevant academic experience, on a case-by-case basis
· Extensive hands-on experience with statistical modeling, time-to-event analyses, comparative effectiveness analyses, causal inference methods to mitigate observed and residual confounding (e.g., propensity score matching/weighting, instrumental variables, state transition models)
· Demonstrated expertise in RWE analytics and specialty databases across therapeutic areas including Immunology, Oncology and Neuroscience.
· Demonstrated expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with data structure and programming of clinical trial data
· Excellent interpersonal, communication and presentation skills
· Extensive experience with database programming and use of statistical programming languages including expert proficiency in either, R or Python working proficiency in SAS and SQL.
· Demonstrated experience as a technical lead in developing, testing and maintaining technical frameworks for RWE analyses.
Preferred qualifications:· Advanced training in statistics or biostatistics
· Expertise in drug development and in working in a matrixed organization
· Experience in generating regulatory-grade evidence, communicating and responding to agency reviews and comments.
· Expertise in clinical and statistical validation of endpoints
At Johnson Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional, and financial health of our employees and the ones they love.
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.
We offer expansive benefits including competitive compensation, paid vacation, paid sick days, paid family/work time, 401(k) matching, and short- and long-term incentives tied to performance.
Working with Johnson Johnson can change everything. Including YOU
The anticipated base pay range for this position is 146000 to 251850.
The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. · Please use the following language:
Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).This position is eligible to participate in the Company’s long-term incentive program.Employees are eligible for the following time off benefits:Vacation – up to 120 hours per calendar yearSick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar yearHoliday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar yearAdditional information can be found through the link below. https://www.careers.jnj.com/employee-benefitsThe compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.
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Required qualifications:· A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, statistics, or biostatistics )
· At least 6 years of relevant experience within start-up, technology, biopharma or healthcare industries, or highly relevant academic experience, on a case-by-case basis
· Extensive hands-on experience with statistical modeling, time-to-event analyses, comparative effectiveness analyses, causal inference methods to mitigate observed and residual confounding (e.g., propensity score matching/weighting, instrumental variables, state transition models)
· Demonstrated expertise in RWE analytics and specialty databases across therapeutic areas including Immunology, Oncology and Neuroscience.
· Demonstrated expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with data structure and programming of clinical trial data
· Excellent interpersonal, communication and presentation skills
· Extensive experience with database programming and use of statistical programming languages including expert proficiency in either, R or Python working proficiency in SAS and SQL.
· Demonstrated experience as a technical lead in developing, testing and maintaining technical frameworks for RWE analyses.
Preferred qualifications:· Advanced training in statistics or biostatistics
· Expertise in drug development and in working in a matrixed organization
· Experience in generating regulatory-grade evidence, communicating and responding to agency reviews and comments.
· Expertise in clinical and statistical validation of endpoints
At Johnson Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional, and financial health of our employees and the ones they love.
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.
We offer expansive benefits including competitive compensation, paid vacation, paid sick days, paid family/work time, 401(k) matching, and short- and long-term incentives tied to performance.
Working with Johnson Johnson can change everything. Including YOU
The anticipated base pay range for this position is 146000 to 251850.
The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. · Please use the following language:
Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).This position is eligible to participate in the Company’s long-term incentive program.Employees are eligible for the following time off benefits:Vacation – up to 120 hours per calendar yearSick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar yearHoliday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar yearAdditional information can be found through the link below. https://www.careers.jnj.com/employee-benefitsThe compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.
#jrdds
#JNJDataScience
#JNJIMRND-DS