Director, R&D Data Science & Digital Health, RWE & Advanced Analytics

Johnson & Johnson•Cambridge, MA

35d•Hybrid

About The Position

At Johnson & Johnson,â we believe health is everything. Our strength in healthcare innovation empowers us to build aâ world where complex diseases are prevented, treated, and cured,â where treatments are smarter and less invasive, andâ solutions are personal.â 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.â Learn more at https://www.jnj.com 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 Johnson & Johnson Innovative Medicine is recruiting for Director, R&D Data Science & Digital Health, Real-World Evidence (RWE) Advanced Analytics The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for an outstanding scientist and leader who provides cross therapeutic area RWE expertise and whose responsibilities include:

Requirements

A Ph.D. degree in epidemiology or biostatistics
Expert coding skills using R, Python, or SAS
At least 8 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries
At least 5 years of experience as a people manager
Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases
Expertise with multiple real-world data sources (EHR, insurance claims, registry data); familiarity with clinical trial data structure
Excellent interpersonal, communication and presentation skills

Nice To Haves

Expertise in drug development and experience working in a matrixed organization
Subject matter knowledge in oncology, Immunology or Neuroscience
Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments

Responsibilities

Independently lead, manage, and mentor a multidisciplinary team of RWE 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.
Be a hands-on scientific and technical leader, lead a portfolio of RWE projects, and develop best practices and a common suite of tools that enable RWE data scientists to accelerate project delivery.
Provide end-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.
Provide scientific leadership in developing and applying Real-World Data (RWD) methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc.
Provide thought leadership to generate actionable insights from historical trial data, observational databases, and literature reviews to support regulatory agency interactions.
Independently create study protocols, analysis plans, and statistical programming deliverables including analytical dataset, tables and figures

Benefits

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 year - Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 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

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