Associate Director, MedTech Epidemiology and Real World Data Science

About MedTech

Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments. Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech

The Johnson & Johnson MedTech Epidemiology and Real-World Data Sciences (MedTech EPI-RWDS) team provides analytical capabilities using large administrative, patient-level databases to answer a variety of questions related to safety, product development, health outcomes research, and other clinical or commercial activities. These may involve analysis of comparative effectiveness, disease burden, standard of care, cost/reimbursement patterns, market size, site of care, and clinical/health economic outcomes.

Key Responsibilities

The Associate Director will perform the following for the Medical Devices sector:

• Lead and contribute to the design of observational database analysis, including authoring protocols and analysis plans in support of RWE needs for the MedTech Cardiovascular franchise.
• Lead the synthesis of evidence from observational database analyses with other evidence to inform medical decision-making, including authoring publications and presentations.
• Work closely with colleagues within the department and across the larger cross-sector Epidemiology function, health economics and market access (HEMA) function, clinical function, and other Cardiovascular medical device functions.
• Implement new approaches for working with "big data" in healthcare. Some tasks may include data visualization, predictive analytics and machine learning algorithms.

Qualifications

Education: A Doctor of Philosophy (PhD) Degree or equivalent in biostatistics, health services & outcomes research, epidemiology or other healthcare-related field with a minimum 3 years of epidemiology or related professional research experience. (Highly qualified candidates with a Masters degree may be considered.)

Experience and Skills:

• In-depth knowledge of healthcare databases, registries, statistical analysis, and other related analytical methodology is required
• A sophisticated understanding and the ability to analyze and interpret quantitative data.
• Experience with writing methods sections of study proposals and protocols is required.
• Experience authoring peer-reviewed publications and presenting in national/international healthcare conferences using results from real-world datasets is required.
• Experience in cross-functional partnering is required.
• Consulting, pharmaceutical or medical device industry experience is preferred.

Schedule & Location

• This position will be located on site at one of our offices in either New Brunswick, NJ (preferred), West Chester PA, or Irvine, CA
• Currently follows a hybrid schedule of at least 3 days per week on-site (no fully remote option)
• Up to approximately 10% domestic and international travel may be required

Pay & Benefits

Anticipated base pay range: $137,000 to $235,750. 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.

Benefits may include:

• Medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance
• Consolidated retirement plan (pension) and savings plan (401(k))
• Vacation – up to 120 hours per calendar year
• Sick time - up to 40 hours per calendar year
• Holiday pay, including Floating Holidays – up to 13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per calendar year

Preferred Skills

• Advanced Analytics
• Clinical Operations
• Cross-Functional Collaboration
• Data Privacy Standards
• Developing Others
• Disease Management
• Emergency Planning
• Environmental Health
• Epidemiology
• Financial Competence
• Inclusive Leadership
• Industry Analysis
• Leadership
• Public Health
• Public Health Surveillance
• Researching
• Team Management
• Vendor Management