This is an opportunity for a data science specialist position in the Department of Neurology at the University of California, San Francisco. The mission of the Amorim Lab is to accelerate neurological recovery of patients with acute brain injury through advancements in brain monitoring technologies. Our research program is combining neurophysiology, neuroimaging, and artificial intelligence methods to pursue innovative and rigorous scientific research in the field of coma neuroscience, and our ultimate goal is helping patients with traumatic brain injury, cardiac arrest, epilepsy, and stroke.
By joining our research laboratory at UCSF, you will be responsible for designing and deploying cutting-edge brain physiology models using large EEG datasets. You will work with a cross-disciplinary team to develop signal processing pipelines and algorithms for multimodal bio-signals as well as integrate neurophysiology signals to neuroimaging and electronic health records data. Our team and collaborators have expertise in machine learning (online learning, graphical models, GAN, unsupervised and semi-supervised learning), deep learning (CNN, LSTM), and quantitative structural and functional brain MR imaging. We are a diverse team with members from various ethnic, gender, and language backgrounds who are committed to implementing equity-relevant and inclusive research as well as promote the professional and personal development of all members of our team. Your work will support the development of transformative and cutting-edge technologies that will bring precision medicine to millions of Americans affected by coma and other severe neurological emergencies every year.
Visit our lab’s website at: https://alab.ucsf.edu/
Full job post available at: https://aprecruit.ucsf.edu/JPF03080.
Time range: This position is a one year at full-time (100%) – possibly longer.
- Bachelor’s degree in a field related to computer science, statistics, mathematics, electrical engineering, or computational biology/neuroscience.
- Demonstrated proficiency programming in Python or MATLAB.
- Knowledge and familiarity working with Jupyter notebook and GitHub/Git.
- Ability to work independently and assess need for assistance from supervisor.
- Organizational and efficiency skills including: planning and decision-making abilities to complete assigned duties in a timely manner, attention to detail, logical thinking/analytical abilities and problem-solving skills.
- Masters or greater degree in a related science, or an equivalent combination of education and experience in computer science, statistics, mathematics, electrical engineering, or computational biology/neuroscience or related field.
- Knowledge or experience with signal processing analysis such as fourier and wavelet methods using EKG, EEG, NIRS, or other physiologic time-series.
- Knowledge or experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
- Knowledge of high-performance computing and dynamic modeling methods.
- Knowledge of database creation and management, such as experience in SQL, MongoDB, or similar platforms.
- At least six months of experience in direct data management and analysis using medical and or health-related data.
The University of California, San Francisco (UCSF) is the top U.S. public institution in funding from the National Institute of Health (NIH) for the 13th year in a row. The Neurology Department at UCSF has more than 180 faculty members and was ranked #1 in NIH funding in 2019 with near $74 million for basic and clinical research. The Amorim Lab is located at the Zuckerberg San Francisco General Hospital, the only trauma center for the West Bay counties and home of more than 20 UCSF research centers and 160 UCSF Principle investigators.
Zuckerberg San Francisco General Hospital Campus
Monday – Friday, 9:00 AM – 5:00 PM