The UC Institute for Prediction Technology (UCIPT) studies real-world problems at the intersection of psychology, public health/medicine, and technology. UCIPT bridges together researchers across University of California campuses to study how social data from social media, wearable devices, and online technologies can be used to predict real-world events in areas like health and medicine, politics, crime, education, and finance. While our work is broadly focused, most of our day-to-day work is with the UCLA Center for Digital Behavior in the UCLA Department of Family Medicine, where we study technologies for health and medicine.
For all positions listed below, please submit your résumé, a cover letter, and writing samples to: email@example.com
1. Research Coordinator (NEW – December 1, 2016)
Under the direction of the Principal Investigator and Research Manager, the Research Coordinator will be responsible for day-to-day operations of assigned research projects and writing briefs related to research. Organize and monitor research activities, monitor students and volunteers, and maintain study files. Ensure timelines are met. Conduct community outreach efforts. The Research Coordinator will also conduct statistical analyses on current and future research projects, and write up the research results into manuscripts, briefs, and grant applications.
The ideal candidate will be extremely organized and detail-oriented. Must have a minimum of a Bachelor’s Degree and greater than two years of research and/or work experience. Demonstrated knowledge and skill in current and emerging internet and social media platforms.
- Excellent writing skills; ability to confidently and independently write research manuscripts and briefs that will convey research to local clinics and organizations
- At least 3 years of research experience carrying out behavioral interventions
- Demonstrated knowledge and skill in the use of social media platforms
- Demonstrated statistical analysis skills in order to analyze research results to determine study outcomes
- Ability to establish and maintain cooperative working relationships
- Willingness to work or respond to participant requests/emails on evenings and weekends
- Organizational skills to maintain records and coordinate other tasks as required.
- Ability to communicate with others about sensitive behavioral issues, including drug use and criminal behavior, and frequency of high-risk behaviors.
- Bilingual English/Spanish a plus
- Experience in data entry and cleaning
- Experience working with substance abusers and/or with HIV-positive populations.
2. Project Director
The Project Director (PD) will be responsible for managing the following three types of projects:
- Technology architecture: These projects involve the management of the development of our big data software as well as ensuring we have the ability to access data sources such as Twitter in real-time. These projects are typically managed by an internal database team, but we need to ensure that they are building technologies that address the needs of our data scientists. A weekly call and 1 to 2 emails per week should be sufficient.
- Data science/prediction models: These projects will be the bulk of work for the PD. We have a growing number of people helping to develop data science models that use social data to predict events. These projects are focused broadly on the areas of monitoring and predicting diseases, online security issues like cyberbullying and cybersecurity, and crime. The flowchart document will help to describe the individuals involved in this work and the process (e.g., label data, conduct analysis for associations, develop monitoring/prediction models). Once models have been developed, these projects will culminate in a research paper that describes the methods and results of the models.
- Software development: These projects will take the monitoring/prediction models and develop software applications that leverage the models and use them to address important real-world problems.
The PD will be expected to have broad technical knowledge, ideally with expertise in some technical area such as web development, Python/data science, or software engineering. The PD will also be responsible for organizing local and UC-wide meetings with UCIPT faculty; the agenda of these meetings will focus on identifying and planning best practices for our work. In addition, the PD will be responsible for overseeing the answer and providing documentation for the following types of questions regarding data:
- Where should we store data to provide access to the entire team?
- How should data be stored to ensure security?
- What are the different types of data that are available?
Finally, the PD will oversee data science projects. The expected stage breakdown of a project will be as follows:
- Planning stage: initial meetings to determine scope of research, team needed, and types of data required
- Exploratory data analysis: Once the aim of research has been identified, this second stage will determine associations between data. For example, can we find a one-time association that Twitter data can predict the incidence of HIV? At the conclusion of this work, at least one manuscript will be written to with the intent to publish the findings.
- Monitoring/Prediction models: Once associations have been developed, monitoring/prediction models will need to be developed by data scientists to study whether these patterns can be reliably predicted.
3. Research Associate
This position will require the ability to conduct and manage behavioral and clinical research under the direction of the Principal Investigator and in collaboration with the Technical Project Director. The Research Associate will be responsible for day-to-day operations of assigned research projects and writing science briefs in a fast-paced environment. The candidate will work with lab staff and students to further the research goals of the team. The ideal candidate will exhibit demonstrated knowledge and skill in current and emerging Internet and social media platforms as well as analytics and understanding data related to how people use technologies.
- PhD degree in psychology, behavioral science, social science or related field strongly preferred.
- Proficient at conducting statistical analysis (e.g., regression analysis, mixed-effect models)
- Skilled in submitting manuscripts at a fast and efficient pace.
- Ability to guide and supervise students and staff with data analysis and writing of manuscripts.
- Ability to sensitively work with and talk to research participants
- Skilled in working as part of a team and maintaining cooperative working relationships with members of interdisciplinary collaborator laboratory
- Strong organizational, administrative, and interpersonal skills to work with minimal supervision.
4. Research Assistant
Under the direction of the Research Associate and the Principal Investigator, the Research Assistant will be responsible for day-to-day operations of assigned research projects and writing briefs related to research. Organize and monitor research activities, monitor students and volunteers, and maintain study files. Ensure timelines are met. The Research Assistant will also conduct statistical analyses on the current and future research projects, and write up the research results into manuscripts, briefs, and grant applications.
The ideal candidate will be extremely organized and detail-oriented. Must have a minimum of a Bachelor’s Degree and greater than 2 years of research and/or work experience. Must demonstrate knowledge and skill in current and emerging internet and social media platforms.
To successfully address these tasks on time, the Research Associate must have a broad set of intelligence, be extremely diligent and task-oriented, and an efficient worker. Excellent writing skills required.
University of California, Los Angeles
UC Institute for Prediction Technology
10880 Wilshire Blvd., Suite 1800
Los Angeles, CA 90024