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At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:

Market Access

Job Sub** **Function:

Health Economics Outcomes Research

Job Category:

People Leader

All Job Posting Locations:

Titusville, New Jersey, United States of America

Job Description:

Associate Director, Real World Research - Scientific Evidence & Policy Research

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

We are searching for the best talent for an** **Associate Director, Real World Research - Scientific Evidence & Policy Research (SEPR), in Scientific Affairs, to be located in Titusville, NJ

**Purpose:** Johnson & Johnson is seeking a candidate to enhance our real-world research capability. In this capacity the Associate Director, Real World Research will generate and report real-world evidence about disease, health service utilization and the effects of medical products through the analysis of healthcare data. This person will support the RW Research Group, RWE Team Leaders, RWE Alliance Leaders, Health Economics and Outcomes Research Leaders, and RWV&E Leaders to perform scientifically rigorous RWE studies via analysis of secondary data such as claims databases and electronic health records. This person will design and execute on analytic plans using claims data, electronic medical records, and/or other RW databases, and ensure high-level technical, scientific and methodological expertise in statistics, health economics and outcomes research and/or epidemiology. The successful candidate will apply computational methods for analytics on large patient-level longitudinal datasets and establish and maintain statistical/database programming standards of excellence for RWE studies that are intended for external publication and communication. This person will be responsible for learning, evaluating, and validating models, based on information available in administrative claims, electronic health records, and other data sources. This person will perform urgent analyses that are needed with short turnaround time and interact with external collaborative partners on joint projects.

You will be responsible for** **:

Advising on appropriate statistical and programming approaches to answering key research questions that are identified by therapeutic areas; Contributing to the study design, development of protocols, reports, abstracts and manuscripts; Conducting statistical analysis and database programming for RWE studies that are intended for external publication and communication; Developing and using economic and statistical models including, but not limited to, budget impact and cost effectiveness models, regression modeling techniques, mixed models, survival analysis, propensity score matching/modeling and non-parametric methods; Performing health economics and outcomes, and comparative effectiveness analyses; Interacting and advising/consulting with external collaborative partners on joint projects; Assessing outsourcing opportunities for external analysis.

Qualifications / Requirements:

+ A minimum of a Master’s degree is required, and a PhD degree is strongly preferred, in a relevant discipline such as statistics, mathematics, economics, epidemiology, operations research, public health, or health administration.

+ A minimum of 6 years of relevant prior work experience or 4 years with a doctorate degree in the healthcare industry within a pharmaceutical (or related) company, consultancy, academia, or within a health system is required.

+ Academic training and industry or payer experience in statistics, health economics, and outcomes research is required.

+ Experience in designing and conducting (hands on) health economics and outcomes research, real world evidence and/or pharmacoepidemiology studies is required.

+ Experience with analytics, coding and management of secondary data such as large, longitudinal health care claims data and electronic health/medical records is required.

+ Experience in developing and using economic and statistical models such as regression modeling techniques, mixed models, survival analysis, propensity score matching/modeling and non-parametric methods is required.

+ Experience in designing and executing head to head comparative studies and causal inference research using real world data is required.

+ Ability to plan, organize, and work on multiple tasks simultaneously in different therapeutic areas are required

+ Self-motivation, self-initiation, and ability to meet deadlines are required.

+ Proficiency in statistical programming (e.g. SAS, R, SQL, Python) is required.

+ Strong written and oral communication skills are required.

+ Experience in indirect treatment comparison (ITC) including MAIC and network meta-analysis (NMA) is preferred.

+ Experience with modeling, including budget impact and cost effectiveness models, is preferred.

+ Knowledge of and experience with alternative payment models (such as risk-based, outcomes-based, or value based contracting) are preferred.

+ Experience with data visualization techniques such as with Tableau and Spotfire is preferred.

+ Experience with applied analyses in one or more of the following therapeutic areas is preferred: Hematology, Solid tumor, Immunology, Neuroscience, or Cardiopulmonary.

+ May require up to 10% travel.

Johnson & Johnson is an 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, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center ([email protected]) or contact AskGS to be directed to your accommodation resource.

\#LI-Hybrid

The anticipated base pay range for this position is :

$137,000 - $235,750

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees and/or eligible dependents are 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. Subject to the terms of their respective plans, employees are 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. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The 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.