Director data science digital health Job at Johnson & Johnson, Spring House, PA

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  • Johnson & Johnson
  • Spring House, PA

Job Description

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

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Data Science Portfolio Management

Job Category

Professional

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description

Johnson & Johnson Innovative Medicine is recruiting for a Director, R&D Data Science & Digital Health - Hematology, Oncology. This position has a primary location of Titusville, NJ but is also open to Spring House, PA; Cambridge, MA; or La Jolla, CA. This position will require up to 25% travel.

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

Responsibilities

  • Serve as primary business leader for Data Science & Digital Health programs for robust Hematology Oncology Early Development portfolio.
  • Work closely with individual clinical teams as well as functional area partners (e.g., Translational research, Precision Medicine and diagnostics, Regulatory Affairs, Market Access, Clinical Development) to identify and implement end-to-end Data Science solutions aimed at facilitating decision making. (e.g. study design, execution, diagnostic planning and strategy)
  • Develop data and technical requirements to meet research objectives that can include Real-World Evidence, cell profiling, clinical phenotyping, computer vision/medical imaging that leverage technologies such as statistical methodologies, AI/Machine learning techniques (e.g. Generative AI).
  • Orchestrate, drive and deliver technical solutions with internal and external partners.


Required 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.
  • A minimum of 7 years industry experience in drug development or related discipline in the field of biotechnology and biomarkers
  • Prior experience with drug development, in areas such as translational research, clinical studies, or regulatory interactions.
  • Working knowledge of advanced analytic methods, such as statistical modeling, biostatistics, machine learning, and/or other relevant techniques.
  • Familiarity with healthcare relevant datasets, such as EHR/RWD, genomics, insurance claims, and emerging platforms such as cell profiling and medical imaging analytics.
  • Capacity to manage timelines and drive key deliverables in a matrix environment.
  • Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals
  • Consistent track record of managing timelines and driving key results in a matrixed organization
  • Excellent communication, interpersonal, and written skills


Preferred Qualifications

  • Proficiency with regulatory submissions and interaction.
  • Experience with emerging, innovative approaches to drug development, such as Generative AI is an asset.


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 (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $160,000 - $276,000

Additional Description for Pay Transparency 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

#JRDDS #JNJDataScience #JNJIMRND-DS

The anticipated base pay range for this position is :

Job Tags

Full time, Temporary work, Work experience placement, Local area, Worldwide,

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