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Form of workGENERAL SUMMARY/ OVERVIEW STATEMENT:
The Albers Lab is a research laboratory of the MassGeneral Institute for Neurodegenerative Disease (MIND) that develops and applies integrative computational methods in biomedical and brain research. We are seeking a highly motivated, innovative, and independent Data Analyst I to be part of our team. The successful candidate will be working with an interdisciplinary team of researchers at the Mass General Brigham, Harvard, MIT, and Imperial College London to execute target trials to emulate clinical trials to evaluate drug repurposing candidates for dementia onset or dementia progression, including performing data engineering on electronic health records incorporating multiple, heterogenous, data types to detect signs of cognitive decline. The successful candidate will assist with preparing journal manuscripts, prepare abstracts/posters, and have the opportunity to present research findings at professional scientific meetings. The successful candidate will work with an interdisciplinary team of neurologists, psychologists, data scientists, statisticians, and software engineers to develop examine risk factors for dementia, such as SARS-CoV-2 infection.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
Explore large databases of electronic medical data to identify predictors of health and disease, and clinical trajectories in Alzheimer's disease.
Engineer data for target trials within electronic health records to evaluate drug repurposing candidates.
Prepare data packages for regulatory bodies, such as NIH.
Build and process input datasets for machine-learning models.
Write code using a collaborative version control system, ensuring proper documentation and reproducible workflows.
Work closely with other computational scientists and physicians to design and perform analyses.
Assist in preparation of manuscripts as well as abstracts and presentations for scientific meetings.
Assist with harmonization of data schema across different data ecosystems.
SKILLS/ABILITIES/COMPETENCIES REQUIRED:
Strong programming skills in Python are required.
Comfortable using Linux environments.
Experience with statistical analysis and databases is strongly preferred.
Knowledge of neuroscience and experience with medical data is desirable.
Excellent organizational and communication skills - demonstrated ability to work well within multi-disciplinary teams.
Ability to work independently and take initiative when necessary.
Highly motivated and able to meet deadlines.
EDUCATION:
Bachelor's degree in Computer Science, Bioinformatics, or related quantitative discipline is required.
EXPERIENCE:
0-2 years of experience in data science projects is required.
WORKING CONDITIONS:
Work will be performed in a typical office setting with remote work as a possibility.
