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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:

Data Analytics & Computational Sciences

Job Sub** **Function:

Data Science Portfolio Management

Job Category:

People Leader

All Job Posting Locations:

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

Job Description:

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 an **Senior Manager, Solid Tumor Oncology, Data Science and Digital Health** to join the J&J Innovative Medicine, Research and Development Data Science and Digital Health team. You will report to the Head of Solid Tumor Oncology, Data Sciences. The primary location for this position is flexible – either; Titusville, NJ; Raritan, NJ; San Diego, CA ; South San Francisco, CA, Boston, MA; remote may also be considered. This position may require up to 15% travel.

Responsibilities:

+ Serve as primary business leader for Lung Cancer Program/DAS within Data Science & Digital Health

+ Lead Oncology Data Sciences projects aligned to Compound Development Team(s) including Amivantamab and other lung cancer assets. This includes serving as the Data Science line function leader developing Data Sciences solutions for key clinical program(s), coordinating internal resources, collaborating with external partners, and working with matrixed R&D Data Science team to deliver solutions.

+ Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Market Access, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others.

+ Collaborate closely with functional area partners to develop and implement innovative portfolio-level initiatives that enhance trial execution, real-world evidence (RWE) generation, and regulatory submissions.

+ Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for Lung cancer program needs

+ Provide subject matter expertise in lung cancer clinical development, trial design, real-world evidence generation, ML/AI tools.

Required Qualifications:

+ MD with clinical experience (e.g., residency), Ph.D., Masters or Bachelors degree in Medicine, Biotechnology, Statistics, Machine Learning & Artificial Intelligence, Physics, Mathematics, Computational Chemistry, Computational Biology, Biology or a related discipline.

+ A minimum of 2 years industry experience in drug development or related discipline in the field of biotechnology or real-world evidence, or 2 years in clinical practice with outcomes research experience

+ Working knowledge of thoracic clinical oncology, such as treatment paradigms, patient experience, and clinical trials

+ Familiarity with healthcare relevant datasets, such as EHR, insurance claims or registry data.

+ Prior experience working and driving external partnerships, either corporate or academic

+ Proven track record of managing timelines and driving key deliverables in a matrixed organization.

+ Excellent communication, interpersonal, and written skills

Preferred Qualifications:

+ Hematology/ Oncology fellowship training

+ R&D Experience at a pharmaceutical company, biotech or partner organization

+ A non-technical understanding of common data science research practices, such as predictive technologies, data mining and/or text mining

+ Hands-on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem-solving abilities

+ Knowledge of regulatory science

+ Knowledge of HEOR

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

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