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

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Are you passionate about improving and expanding the possibilities of Cardiovascular? Ready to join a team that’s reimagining how we heal? Our Cardiovascular team develops leading solutions for heart recovery, electrophysiology, and stroke. You will join a proud heritage of continually elevating standards of care for stroke, heart failure and atrial fibrillation (AFib) patients. Your unique talents will help patients on their journey to wellness.

About the Role

The Lead Clinical Data Scientist will serve as a key technical expert within our organization, driving machine learning and AI-driven data science initiatives to support clinical studies, publications, and regulatory submissions. This role will focus on leveraging advanced Machine Learning techniques to enable personalized treatment strategies, enhancing patient outcomes through innovative data science methods. They will play a vital role in shaping standards, processes, and technical strategies related to machine learning within the broader Clinical Data Science team. The Lead will ensure that all analyses are conducted with the highest level of scientific integrity, strictly adhering to regulatory requirements for both pre- and post-market clinical trials. This position offers an exciting opportunity to influence the future of healthcare by integrating cutting-edge AI and machine learning solutions in a fast-paced, collaborative environment.

This is a hybrid role based in Irvine, CA

Key Responsibilities:

• Conceive, develop, and implement AI/machine learning and advanced analytics approaches to develop novel solutions to high-priority scientific problems, focusing on the application of AI to clinical trials
• Design and execute analysis plans independently for various phases of clinical studies, assuming a leadership role in creating the data science strategy.
• Review clinical study protocols and Case Report Forms (CRFs) for proposed studies with respect to data science and statistical methodology needs.
• Interact with Biostatistics, Data Management/Engineering, Regulatory, and Clinical staff to define and clarify project requirements.
• Produce data science reports that may be incorporated into internal clinical reports or regulatory submissions.
• Clearly articulate highly technical methods and results to diverse audiences to drive decision-making
• Shape internal/external collaborations to define the scope of research questions and deliver impactful solutions
• Provide guidance on standards, processes, and technical direction related to data science within the biostatistics team.
• Participate in vendor evaluation, selection, contracting, and oversight for statistical and programming deliverables.
• Stay current with the latest machine learning and statistical methodology in healthcare.

Desired Skills & Experience:

• PhD or Master’s degree in statistics, computer science, or a related quantitative field is required.
• At least 6 years of hands-on technical data analysis and modeling experience
• Demonstrated technical experience in building machine learning pipelines is required.
• Experience with traditional machine learning algorithms such as random forest, boosting, and regularization methods is required.
• Proven experience with deep learning and a variety of deep neural network architectures is required.
• Thorough understanding of machine learning concepts such as training/testing/validation/cross-validation, loss functions, and optimization is required.
• Proficient in one or more of Python, R, Scala, or other data science languages is required.
• Excellent verbal and written communication skills is required.
• Strong publication record in high impact journals is strongly preferred.
• Experience in the healthcare industry, including pharmaceuticals and medical devices, is highly preferred.

The anticipated base pay range for this position is $124, 950 to $169, 050.

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; 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 of Work, Personal and Family Time - up to 40 hours per calendar year
• Additional information can be found through the link below. https: //www.careers.jnj.com/employee-benefits

• 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.

The anticipated base pay range for this position is:

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