Postdoctoral Scientist Data Science AI/ML & DH
About The Position
The 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. This position is part of the AI/ML and Digital health team within Johnson & Johnson Innovative Medicine Research & Development, which is part of the Data Science & Digital Health (DSDH) function. This team develops innovative AI/ML and analytical solutions using a variety of data sources across multiple diseases and therapeutic areas. Johnson & Johnson Innovative Medicine Research & Development develops treatments that improve the health of people worldwide, with research and development areas encompassing multiple therapeutic areas (TA) including oncology, cardiopulmonary, immunology and neuroscience. The goal is to help people live longer, healthier lives.
Requirements
- 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.
Nice To Haves
- Familiarity with drug discovery and the clinical development process.
- Hands-on experience with digital endpoint/biomarker validation frameworks.
Responsibilities
- 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.
- Communicate results to internal stakeholders and external partners through project reports and peer reviewed research publications.
Benefits
- medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
- consolidated retirement plan (pension) and savings plan (401(k)).
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
