The analyst will participate in a multi-disciplinary research team focused on studying neurological and neurodegenerative disorders using low-burden, innovative digital health technologies. We deploy several types of digital health technologies (e.g., smartphone cognitive tests, passive smartphone usage, speech recordings, sensor technologies, and wearables) to patients in their own homes. We then analyze these data with the overarching goal of identifying tools to improve early diagnosis, prognosis, and symptom monitoring of patients with Alzheimer’s disease and related dementias.
The Data Engineer role is a core resource in the Staffaroni lab and will be critical in bringing thoughtful Data Engineering practices into the space of neurodegenerative disease research. This position offers the opportunity for a Data Engineer to make a critical contribution to neurology clinical research.
- Data Engineering In this role, you will work to programmatically build new and expand existing systems (developed in R) for collecting, validating, managing, and preparing high-quality longitudinal data/sets for use by research scientists and their collaborators. This work will include acquiring access to multi-modal internal and external data sources (applications, relational databases, video libraries, imaging pipelines, speech samples), developing pipelines to transform all or a subset of the data sources into useful data sets for relevant analyses by research scientists, and feature engineering for continuous time-series data. In addition, building, testing, and maintaining database pipeline architectures are a necessity along with creating new and expanding existing data validation methods.
- Data Analysis: Under the guidance of the research team, you will build bespoke data analysis tools to assist in the communication and access of data sets to internal and external researchers and collaborators. This role will also collaborate with data managers and data scientists at the center to gather and prepare data for analysis.
- Data Management: A portion of this role will require basic data management activities such as creating best practices for streamlined data cleaning, data harmonization, manual data wrangling, collecting, organizing, and accessing data for use in creating bespoke data sets. A key responsibility of this role is being responsible for ensuring the integrity of the data.
- Security: Compliance with the institution’s data governance and security policies is a must.
- Reporting: The Data Engineer will report to Dr. Staffaroni and will have a mentoring relationship with Drs. Paolillo and Sanderson-Cimino, Rose George, and Joe Hesse.
The final salary and offer components are subject to additional approvals based on UC policy.
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Please note: An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.
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