Postdoctoral Researcher in Biomedical Informatics at UCSF

7 days ago

California, United States University of California, San Francisco Full time
Postdoctoral Researcher in Biomedical Informatics

This is an exciting opportunity for a postdoctoral researcher to join our team at the University of California, San Francisco (UCSF) in the Department of Neurology and Weill Institute for Neurosciences. Our lab is advancing brain health through biomedical informatics methods that harness artificial intelligence. We are focused on improving recovery after acute injury caused by trauma, cardiac arrest, epilepsy, and other serious neurological conditions.

Key Responsibilities:

  • Perform data mining, develop algorithms, and analysis involving physiological and health records time-series.
  • Develop pipelines for data cleaning and preprocessing and data integrity tasks to optimize and correct errors, inconsistencies, or missing data needed for analyses.
  • Assist in acquiring and maintaining data acquisition from multiple sources including multimodal physiological time series, neuroimaging, and electronic health records.
  • Organize, support, and maintain a central large research database with various data types including physiological time series, neuroimaging, and electronic health records.
  • Assist with user-interface software development.
  • Ensure confidentiality for sensitive documents (protected health information) using institutional guidelines.

Requirements:

  • Ph.D. in a field related to computer science, statistics, mathematics, electrical engineering, or computational biology/neuroscience.
  • Demonstrated proficiency in programming in Python and ability to create shells for automated data analysis.
  • Knowledge or experience with machine learning and statistical analysis.
  • Knowledge or experience with relational databases (SQL, NoSQL), and electronic health records.
  • Ability to work independently and determine when assistance from the designated supervisor is needed.
  • Organizational and efficiency skills, including planning and decision-making abilities to complete assigned duties promptly, attention to detail, logical thinking/analytical abilities, and problem-solving skills.

Preferred Qualifications:

  • Knowledge and familiarity working with Jupyter Notebooks and version control (GitHub/Git).
  • Knowledge or experience with deep learning frameworks, e.g., TensorFlow, Keras, or PyTorch.
  • Knowledge of natural language processing techniques.
  • Knowledge of high-performance computing and dynamic modeling methods.

About the Lab:

Our lab is a dynamic and multi-disciplinary group of physicians, neuroscientists, and data scientists developing cutting-edge technologies and applications that leverage advanced signal processing, time-series prediction modeling, and quantitative neuroimaging. We are actively involved with undergraduate and graduate programs at UCSF and UC Berkeley. Our group has experience using both traditional machine learning and deep learning approaches.

How to Apply:

Well-qualified applicants should send the following to [insert contact information]:

  • Cover letter (2-page maximum) indicating current and future research interests and expected availability dates;
  • CV (curriculum vitae);
  • A concise list of computational/programming skills, and how they were applied toward prior research questions if applicable;
  • Example(s) of computer programming experience, such as a link to your public Github or MATLAB File Exchange webpage if available;
  • Names and contact information for three references

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

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