Postdoctoral Scientist Data Science AI/ML & DH

• Analyze data from wearable sensors to develop digital biomarkers using methodologies from signal processing and AI.
• Prepare and process raw sensor data streams to extract clinically relevant and novel features.
• Build novel or enhance existing AI algorithms or time-series models for digital endpoint development and validation.
• Build sensor data analysis and modeling pipelines to develop re-usable software assets.
• Partner with cross-functional teams to execute on developing, adapting, and delivering digital health solutions. This includes defining "what" and "why" particular digital phenotype needs to be measured, developing analytical strategy and designing specific experiments.
• Communicate results to internal stakeholders and external partners through project reports and peer reviewed research publications

Do you have experience in Signal processing?, Do you have a Doctoral degree?, * A recent Ph.D. degree within 3 years in computer science, electrical engineering, biomedical engineering, or related discipline.

• Extensive experience in analyzing high frequency data from wearable biosensors (e.g., accelerometer, ECG, PPG).
• Strong background and proven experience in developing or implementing advanced state of the art AI and signal processing methods.
• Experience with large scale data processing and integrating multi-modal datasets.
• Proficiency in one or more programming languages such as Python, R, MATLAB and writing re-usable and well documented code.
• Demonstrated scientific excellence as measured by publications and presentations.
• Excellent interpersonal, communication, and presentation skills.
• Ability to work in a dynamic and collaborative environment.

Preferred qualifications:

• Familiarity with drug discovery and the clinical development process.
• Hands-on experience with digital endpoint/biomarker validation frameworks

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 jnj.com. 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., Data Science and Digital Health (DSDH) function within Johnson & Johnson Innovative Medicine Research & Development, is recruiting for the role of Postdoctoral Scientist AI/ML & DH. The location for this position is Cambridge, MA; Titusville, NJ; Spring House, PA or Beerse, Belgium Johnson & Johnson Innovative Medicine Research & Development develops treatments that improve the health of people worldwide. Research and development areas encompass multiple therapeutic areas (TA) including oncology, cardiopulmonary, immunology and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market, from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine R&D, please visit https://innovativemedicine.jnj.com/us/ The AI/ML and Digital health team within Johnson & Johnson Innovative Medicine Research & Development is a part of Data Science & Digital Health (DSDH) function and develops innovative AI/ML and analytical solutions using a variety of data sources across multiple diseases and therapeutic areas. We are looking for outstanding candidate for the role of Postdoctoral Scientist AI/ML & DH whose responsibilities include