Postdoctoral Scientist - Multi-modal Neuroimaging Analysis with Machine Learning – Al-Louzi/Sati labs - Department of Neurology

If you're ready to be a part of groundbreaking research, then we invite you to consider this exciting opportunity and apply today!

The Groups of Dr. Omar Al-Louzi (Visual Outcomes Laboratory) and Dr. Pascal Sati (Neuroimaging Program) are seeking a highly motivated and talented Postdoctoral Researcher to lead multi-modal (OCT/A, MRI, PET) image analysis research projects using advanced machine learning in patients with neurological conditions.

Under the co-supervision of Drs. Al-Louzi and Sati, the Postdoctoral Scientist will have the opportunity to work in a multidisciplinary team of expert neuroimagers, neurologists, and machine learning scientists to investigate novel diagnostic and prognostic imaging biomarkers in patients with neurological diseases, including Multiple Sclerosis, Alzheimer’s disease, Amyotrophic Lateral Sclerosis, and Parkinson’s disease. The incumbent will also have the opportunity to collaborate with the new Department of Computational Biomedicine to develop innovative ML methodologies for analyzing and interpreting multimodal imaging dataset (OCT/A, MRI, PET), including the design and implementation of image processing pipelines, training of cutting edge convolutional neural networks, validation and testing of deep learning models on multiple neuroimaging datasets for early identification and prognostication of neurological disorders.

The incumbent will have access to a comprehensive set of computing resources including ground breaking deep-learning workstations specifically dedicated to the Al-Louzi/Sati labs as well as the high-performance-computing (HPC) infrastructure supported by our institution.

The talent is expected to perform routine and complex laboratory procedures throughout training period. You may develop, adapt, and implement new research techniques and protocols. You are also expected to analyze/interpret data and may assist in the preparation of grant proposals. This position participates in publications and presentations as author or co-author. This role is not responsible for generating grant funds.

Primary Duties and Responsibilities:

• Maintains experimental records and documentation and analyzes the results with the Principal Investigator.
• Analyzes, interprets, summarizes and compiles data.
• Operates and maintains equipment and instruments.

Department-Specific Duties and Responsibilities:

• Will design and perform advanced image analysis on various neuroimaging datasets (OCT/A, MRI, PET) acquired in human research subjects with neurological disorders.
• Will develop, adapt, and implement innovative image processing and analysis methods.
• Will develop, validate, and apply machine (deep)-learning methods using existing large brain imaging dataset to automate detection and quantification of novel diagnostic biomarkers in human research subjects with Multiple Sclerosis.
• Will keep appropriate experimental records and documentation.
• Will write or participate in publications and presentations as first-author or co-author under the guidance and mentorship of the project principal investigators.

Education:

PhD in Biomedical Engineering/Imaging, Computer Science/Vision, Data Sciences, or a related field.

Experience and Skills:

• Works independently on research projects designed by a mentor (typically the PI) within area of specialization.
• It is highly preferred for candidates to have at least 3 years of hands-on experience with image processing and analysis acquired during Ph.D. program.
• Strong programming skills (MATLAB, Python or C/C++) and/or statistical skills (R or STATA).
• Experience with deep-learning software (Pytorch and TensorFlow) and HPC analysis pipelines are required.
• Proficient level of comfort and expertise using neuroimaging analysis platforms such as SPM, FreeSurfer, AFNI, ANTs, and FSL.
• Strong scientific publication experience either as first author or co-author is helpful.
• Exceptional candidates with a demonstrated track record and experience in neuroimaging and data science.

Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents.

Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 886 licensed beds, 2,100 physicians, 2,800 nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most.

: 870

: Postdoctoral Scientist - Multi-modal Neuroimaging Analysis with Machine Learning – Al-Louzi/Sati labs - Department of Neurology

: Research - Neurology

: Cedars-Sinai Medical Center

: Academic / Research

: Postdoctoral Scholar

: EXEMPT

: Day

: 8 hour

: $66,560.00 - $93,600.00

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