Associate Director, R&D Data Science & Digital Health – Hematology/Oncology
Johnson & Johnson Innovative Medicine, Spring House, Pennsylvania, United States, 19477
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
Professional 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
Innovative Medicine at Johnson & Johnson is recruiting for an Associate Director of Oncology Data Science. The primary location for this position is either New Brunswick, NJ or Spring House, PA. Consideration will be given to Boston, MA, Raritan, NJ, Titusville, NJ, La Jolla, CA or other Innovative Medicine locations. 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 Position Summary
The Associate Director – Hematology, Oncology Data Sciences & Digital Health will serve as a strategic business leader for data science and digital health initiatives within a clinical‑stage development program in the Hematology‑Oncology portfolio, with a focus on CD3 T‑cell engaging therapeutics in multiple myeloma. You will partner with Clinical Development Teams (CDTs) to deliver advanced analytics, including statistical modeling and AI/ML, to support clinical development and regulatory objectives across the drug development lifecycle. The successful candidate will foster a culture of data‑driven decision making and act as a scientific thought leader for Data Science within R&D Oncology. The role requires a strong foundation in drug development and core Data Science methodologies, including advanced statistical modeling or biostatistics. Creativity and innovative thinking will be essential. You will join a dynamic, accomplished team dedicated to advancing novel medicines within Johnson & Johnson Innovative Medicine – Hematology Oncology R&D. Key Responsibilities
Partner with cross‑functional CDTs to design and implement Data Science strategies to support clinical development and regulatory objectives. Apply advanced analytics (e.g. statistical modeling, AI/ML, generative AI) to a diverse range of applications such as real‑world evidence, clinical phenotyping, medical imaging, and biomarker analysis. Develop, manage and communicate data‑driven solutions to cross‑functional teams and internal governance processes, including the reporting requirements for both regulatory‑grade and observational research. Partner with internal stakeholders and external vendors to identify data needs and procure novel data sources and/or technologies for bespoke applications. Collaborate with Clinical Development, Medical Affairs, Regulatory and Commercial teams to identify opportunities for data‑driven innovation. Oversee timelines, budgets and deliverables for scientific research projects. Serve as a representative for the broader organization in scientific collaborations, conferences and consortia. Required Qualifications
Advanced degree (PhD, MD, or PharmD/MS) in a field involving high‑dimensional data analysis such as computational research, pharmacoepidemiology, statistics, outcomes research or related field in health care area. 5+ years of experience in the pharmaceutical industry, biotech, or relevant healthcare analytic role. Working knowledge of drug development process such as translational research, clinical trials or regulatory interactions. Fluency in advanced analytic methods such as statistical modeling, biostatistics, machine learning or other relevant techniques. Familiarity with healthcare‑related datasets such as electronic health records (EHR), real‑world data (RWD) or genomics, with an understanding of their structure, limitations and applications to clinical research. Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals. Proven track record of managing timelines and driving key results in a matrixed environment. Excellent communication, interpersonal and written skills. Preferred Qualifications
Experience with regulatory submissions and interactions, including the application of data analysis to support regulatory decision‑making. Demonstrated success applying emerging and innovative methods to drug development such as generative AI. Track record of effective collaboration on multifunctional teams delivering clinical trials in R&D or Medical Affairs settings. 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:
$137,000 - $235,750 Additional Description For Pay Transparency
Subject to the terms of their respective plans, employees and/or eligible dependents are 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. Subject to the terms of their respective plans, employees are 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. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation – 120 hours per calendar year; Sick time – 40 hours per calendar year (for employees who reside in the State of Washington – 56 hours per calendar year); Holiday pay, including floating holidays – 13 days per calendar year; Work, Personal and Family Time – up to 40 hours per calendar year; Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child; Condolence Leave – 30 days for an immediate family member, 5 days for an extended family member; Caregiver Leave – 10 days; Volunteer Leave – 4 days; Military Spouse Time‑Off – 80 hours. Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits
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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, 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
Innovative Medicine at Johnson & Johnson is recruiting for an Associate Director of Oncology Data Science. The primary location for this position is either New Brunswick, NJ or Spring House, PA. Consideration will be given to Boston, MA, Raritan, NJ, Titusville, NJ, La Jolla, CA or other Innovative Medicine locations. 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 Position Summary
The Associate Director – Hematology, Oncology Data Sciences & Digital Health will serve as a strategic business leader for data science and digital health initiatives within a clinical‑stage development program in the Hematology‑Oncology portfolio, with a focus on CD3 T‑cell engaging therapeutics in multiple myeloma. You will partner with Clinical Development Teams (CDTs) to deliver advanced analytics, including statistical modeling and AI/ML, to support clinical development and regulatory objectives across the drug development lifecycle. The successful candidate will foster a culture of data‑driven decision making and act as a scientific thought leader for Data Science within R&D Oncology. The role requires a strong foundation in drug development and core Data Science methodologies, including advanced statistical modeling or biostatistics. Creativity and innovative thinking will be essential. You will join a dynamic, accomplished team dedicated to advancing novel medicines within Johnson & Johnson Innovative Medicine – Hematology Oncology R&D. Key Responsibilities
Partner with cross‑functional CDTs to design and implement Data Science strategies to support clinical development and regulatory objectives. Apply advanced analytics (e.g. statistical modeling, AI/ML, generative AI) to a diverse range of applications such as real‑world evidence, clinical phenotyping, medical imaging, and biomarker analysis. Develop, manage and communicate data‑driven solutions to cross‑functional teams and internal governance processes, including the reporting requirements for both regulatory‑grade and observational research. Partner with internal stakeholders and external vendors to identify data needs and procure novel data sources and/or technologies for bespoke applications. Collaborate with Clinical Development, Medical Affairs, Regulatory and Commercial teams to identify opportunities for data‑driven innovation. Oversee timelines, budgets and deliverables for scientific research projects. Serve as a representative for the broader organization in scientific collaborations, conferences and consortia. Required Qualifications
Advanced degree (PhD, MD, or PharmD/MS) in a field involving high‑dimensional data analysis such as computational research, pharmacoepidemiology, statistics, outcomes research or related field in health care area. 5+ years of experience in the pharmaceutical industry, biotech, or relevant healthcare analytic role. Working knowledge of drug development process such as translational research, clinical trials or regulatory interactions. Fluency in advanced analytic methods such as statistical modeling, biostatistics, machine learning or other relevant techniques. Familiarity with healthcare‑related datasets such as electronic health records (EHR), real‑world data (RWD) or genomics, with an understanding of their structure, limitations and applications to clinical research. Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals. Proven track record of managing timelines and driving key results in a matrixed environment. Excellent communication, interpersonal and written skills. Preferred Qualifications
Experience with regulatory submissions and interactions, including the application of data analysis to support regulatory decision‑making. Demonstrated success applying emerging and innovative methods to drug development such as generative AI. Track record of effective collaboration on multifunctional teams delivering clinical trials in R&D or Medical Affairs settings. 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:
$137,000 - $235,750 Additional Description For Pay Transparency
Subject to the terms of their respective plans, employees and/or eligible dependents are 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. Subject to the terms of their respective plans, employees are 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. Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: Vacation – 120 hours per calendar year; Sick time – 40 hours per calendar year (for employees who reside in the State of Washington – 56 hours per calendar year); Holiday pay, including floating holidays – 13 days per calendar year; Work, Personal and Family Time – up to 40 hours per calendar year; Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child; Condolence Leave – 30 days for an immediate family member, 5 days for an extended family member; Caregiver Leave – 10 days; Volunteer Leave – 4 days; Military Spouse Time‑Off – 80 hours. Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits
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