Postdoctoral Scientist, Neuroimaging Analytics

Key Skills

Aartificial intelligence, Data Analytics, Data cleaning / Data cleansing, Data science techniques, Effective communication skills, Machine learning techniques, MATLAB Programming, Python Programming, R Programming

Job Description

Janssen develops treatments that improve the health of people worldwide. Research and development will focus primarily on neuroscience with opportunities to work in areas, such as. oncology, cardiovascular and metabolic disorders, immunology, and infectious disease. 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 Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/us/ .

The Artificial Intelligence/Machine Learning and Digital Health team within Janssen R&D develops innovative insights and solutions leveraging a variety of different data sources across multiple disease areas. We are looking for an outstanding post-doctoral scientist whose responsibilities will include: 

The qualified candidate will:

• Have profound knowledge of current state-of-the art neuroimaging pipelines for data cleaning, analysis, feature extraction, and visualization.
• Be able to independently design, build and implement state-of-the art predictive models using large-scale neuroimaging data (such as fMRI/MRI, PET).
• Participate in cross-functional collaborations with external companies and internal scientific and data science teams.
• Present analysis in a cross-functional setting, contextualizing how it fits within the broader project.
• Develop new methods and contribute to scientific publication, patents, technical reports.
• Stay on the cutting edge of the neuroimaging analytics, predictive modeling, statistics fields to invent and customize when necessary.

Qualifications

Required Qualifications:

• A Ph.D. degree in neuroscience, biomedical science, electrical/biomedical engineering, biostatistics or statistics, mathematics, computer science or other relevant fields
• Demonstrated experience with analysis of neuroimaging data, such as fMRI/MRI, PET.
• Experience developing and testing reusable analytic pipelines.
• Experience using neuroimaging software like SPM, Freesurfer, FSL, ANFI, Nilearn, etc.
• Experience with statistical modeling, machine learning, and signal processing algorithms
• Proficiency with one or more programming language such as Python (preferred), MATLAB, or R
• Ability to effectively communicate technical work to a wide audience
• Passionate about maximizing insights from data to drive scientific innovation.
• Proven scientific excellence, as measured by publications, patents, high-level presentation
• Ability to work in an agile matrix environment

Preferred Qualifications:

• Additional experience in analyzing data from wearable biosensors (e.g., accelerometer, ECG, PPG, EMG, EEG, voice).
• Familiarity with drug discovery and the clinical development process and/or expertise in one or more therapeutic areas
• Familiarity with the statistical design and analysis of randomized controlled trials and observational studies