This position will work in a group that uses deep learning (DL) technologies including recurrent neural networks (RNN) and natural language processing (NLP) to extract features from Electronic Health Records (EHR) and improve classifiers for suicide prevention. Specifically, the project aims to predict the probability that a patient who has been hospitalized for a suicide attempt will need to be readmitted within 30-60 days after being discharged. The position will conduct research to determine the most effective data representation as well as the most efficient DL technology to use for the large and complex Million Veteran Program dataset.
The successful Research Associate will have demonstrated experience with advanced machine learning techniques such as RNN and NLP, be team-oriented, pay strict attention to detail, and have good communication skills. This Research Associate position is part of a multi-lab multidisciplinary team of computer scientists and physicians that are part of the MVP program.
Contribute to the development of efficient DL methods for improving current methods to predict suicide prevention.
Work closely with computational scientist and physicians and provide assistance to them.
Prepare and maintain documentation (code description and tutorials, technical reports, summaries, data analyses).
Participate in research group meetings.
Undergraduate/graduate student in Computer Science with a minor in Mathematics or Statistics preferred and at least 6 months of related experience.
Excellent understanding of deep learning is required.
Excellent analytical, organizational and multi-tasking skills are essential.
Proficiency in creating and maintaining documentation.
Excellent interpersonal and communications skills are essential.
This is a temporary 3 month limited appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. Cannot exceed 900 hours within a rolling 12-month period.
Work Schedule: Full-time, M-F, exempt (monthly paid) from overtime pay.
Salary will be determined based on range by collective bargaining agreement.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
Berkeley Lab (LBNL) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science.
Equal Employment Opportunity: Berkeley Lab 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. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."
Internal Number: 85122
About Lawrence Berkeley National Laboratory
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with excellence. Thirteen scientists associated with Berkeley Lab have won the Nobel Prize. Fifty-seven Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation's highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world. Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 200-acre site in the hills above the UC Berkeley campus that offers spectacular... views of the San Francisco Bay, Berkeley Lab employs approximately 4,200 scientists, engineers, support staff and students. Its budget for 2011 is $735 million, with an additional $101 million in funding from the American Recovery and Reinvestment Act, for a total of $836 million. A recent study estimates the Laboratory's overall economic impact through direct, indirect and induced spending on the nine counties that make up the San Francisco Bay Area to be nearly $700 million annually. The Lab was also responsible for creating 5,600 jobs locally and 12,000 nationally. The overall economic impact on the national economy is estimated at $1.6 billion a year. Technologies developed at Berkeley Lab have generated billions of dollars in revenues, and thousands of jobs. Savings as a result of Berkeley Lab developments in lighting and windows, and other energy-efficient technologies, have also been in the billions of dollars. Berkeley Lab was founded in 1931 by Ernest Orlando Lawrence, a UC Berkeley physicist who won the 1939 Nobel Prize in physics for his invention of the cyclotron, a circular particle accelerator that opened the door to high-energy physics. It was Lawrence's belief that scientific research is best done through teams of individuals with different fields of expertise, working together. His teamwork concept is a Berkeley Lab legacy that continues today.