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.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

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, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

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.

Johnson & Johnson Innovative Medicine is recruiting for a Director, Data Science and Digital Health - Hematology, Oncology to join our Data Science and Digital Health team (DSDH) and report to the Head of Hematology & Oncology Data Science. This position will be located at one of our offices in either Spring House PA, Cambridge MA, San Diego CA (La Jolla area), Titusville NJ, or Raritan, NJ.

The Director, Data Science and Digital Health - Hematology, Oncology will direct and lead efforts to bring innovative approaches to the use of Data Science to support R&D for Early-Stage hematology therapies. Primary responsibilities are to identify and deliver Data Science capabilities to achieve clinical goals in a value-driven manner. This role will contribute to an organizational culture that promotes data-driven decision-making across all functions of Johnson & Johnson Innovative Medicine – R&D Oncology. A successful candidate will be a business leader for the R&D Data Science team to the Clinical Development Teams (CDTs), where they will apply advanced analytic methodologies (e.g. statistical modeling, AI/Machine Learning) in the drug development process for high-dimensional data, such as real-world evidence. You'll be part of a dynamic, accomplished team that supports the development of novel medicines at Johnson & Johnson Innovative Medicine – Hematology Oncology R&D.

Position Summary:

• 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 5 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.

This position will be located at one of our offices in either Spring House PA, Cambridge MA, San Diego CA (La Jolla area), Raritan, NJ and Titusville, NJ. (No remote option.)

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 & 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, external applicants please contact us via the contact page, internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $164,000 to $282,900. 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. 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)).

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

Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time – up to 40 hours per calendar year

Additional information can be found through the link below.

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.

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Required Skills:

Advanced Analytics, Business Case Modeling, Consulting, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Master Data Management (MDM), Negotiation, Product Portfolio Management, Quality Control (QC), Resource Planning, Tactical Planning, Technical Credibility