Principal Algorithms Engineer - MedTech Surgery

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 Med Tech, 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: R&D Product Development

Job Sub Function: R&D Mechanical Engineering

Job Category:
Scientific/Technology

All Job Posting Locations:
Cincinnati, Ohio, United States of America

We are searching for the best talent for a Principal Algorithm Design Engineer, R&D to join the Energy & Endomechanical Platform. The position will be based in Cincinnati, OH. This is a hybrid role (3 days in office, 2 days remote, unless needed on-site for business purposes).

• Design and develop computational algorithms using hardware to demonstrate technical feasibility
• Translate high-level customer needs into technical options while analyzing trade-offs and business impact
• Lead technical feasibility assessments and technology de-risking strategies that inform innovation, portfolio, and investment decisions.
• Lead organization in algorithm development best practices
• Lead the evaluation of external partners for technical capabilities and ability to provide solutions to solve high value unmet needs
• Define and influence algorithm, sensing, and computational technology roadmaps
  • Build prototypes, products, and systems for testing including setting up and running laboratory experiments
• Design and execute test procedures, analyze test results, and develop written reports
• Generate and present technical material to partners at all levels of the organization
• Document designs and specifications per design control processes
• Lead members of the engineering staff by providing technical guidance, mentoring, and training, while expanding team capabilities and establishing effective engineering practices

• Minimum Bachelor’s degree in Biomedical Engineering, Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or similar field required; dual degrees or advanced degree preferred
• Minimum 10 years of relevant work experience
• Requires up to 10% travel, domestic and international travel
• Demonstrated experience identifying and translating unmet customer, clinical, and business needs into novel technical concepts and product opportunities
• Proven ability to define technical feasibility strategies and execute early-stage technology de-risking activities for Front End innovation programs
• Demonstrated ability to establish technical direction and influence product and technology roadmaps
• Demonstrated experience leading teams of algorithm engineers in an agile environment
• Proven experience in computational algorithm development, signal processing, time series analysis, and/or applied control theory
• Work experience with and a deep understanding of physical principles and ability to plan, execute, and synthesize analyses across multiple domains, such as mechanical, thermal, electrical, and tissue
• Demonstrated programming ability for embedded systems (e.g., Python, C, LabVIEW, etc.), and an understanding of Object-Oriented Programming
• Proficiency with collaborative code version control and associated tools, such as Bitbucket/Git
• Develop and protect intellectual property through invention disclosure, claim strategy collaboration, freedom-to-operate assessments, and patent review activities
• Demonstrated ability working across subject areas with internal and external partners
• Strong collaboration, proven technical leadership capabilities, and conflict resolution skills

• Experience formulating and coordinating different engineering approaches to test hypotheses, such as hand calculations, computational modeling and simulation, empirical testing (benchtop and in vivo) and method development as appropriate
• Intermediate understanding or hands‑on experience with anatomy and physiology highly preferred
• Experience in Machine Learning, Statistics, and Mathematical intuitions to understand the data effectively and build predictive regression and classification models (optimization, PCA, Linear and Logistic regression, LightGBM, XGBoost, Random Forest, SVM, Gaussian Processes, etc.). Familiarity with Deep Learning frameworks like Tensorflow, Pytorch, etc.
• Experience with Model Predictive Control
• Experience working with databases and associated tools (SQL, Microsoft Azure, Dataiku, etc.)
• Ability to handle…