Research Scientist Position Stress and Development Lab Harvard University
We are seeking a Research Scientist in the Department of Psychology at the Harvard University to begin in summer or fall 2021. This position will be based in the Stress and Development Lab, led by Katie McLaughlin. Our research examines the impact of environmental experience on children's development and aims to identify mechanisms linking experiences of adversity to the onset of psychopathology.
This Research Scientist position will focus on developing and maintaining workflows for cleaning, processing, and analyzing neuroimaging and digital phenotyping data. Specific activities will include creating and maintaining data cleaning and pre-processing pipelines for multi-modal neuroimaging data, including EEG, ERP, MRI, task-based and resting state fMRI, and DTI data; implementing quality assurance procedures for neuroimaging data; conducting higher-level aspects of image analysis (e.g., within-subject and group-level analyses of structural MRI, task-based fMRI and resting-state fMRI; performing fiber tracking on DTI data; specifying group-level models for DTI data); creating and maintaining cleaning and processing pipelines for digital phenotyping data (e.g., GPS data scraped from smartphones; accelerometer data from wearable devices); creating visualizations for neuroimaging and digital phenotyping results. The position will also involve training and supporting other members of the lab (e.g., graduate students) in implementing neuroimaging analyses.
Candidates will have a masters degree in computer science, cognitive neuroscience, psychology, or a related area or three years of relevant full-time work experience. Strong candidates will have a track record of neuroimaging research, experience creating and maintaining neuroimaging workflows, familiarity with machine learning techniques, expertise in visualization, strong computer programming skills, and the ability to work effectively in a research team. We strive to provide enriching opportunities for all trainees, including those from backgrounds traditionally under-represented in psychology and neuroscience. Please see the Join Us page on our lab website (sdlab.fas.harvard.edu/) for more details on our lab's commitment to Diversity, Inclusion, and Belonging. Duties and Responsibilities:
* Creating and maintaining pipelines for cleaning and processing of neuroimaging and digital phenotyping data * Conducting higher-level analysis of neuroimaging data * Implementing machine learning algorithms on neuroimaging and digital phenotyping data * Programming behavioral tasks * Integrating data across workflows (e.g., neuroimaging, digital phenotyping, behavioral, and clinical data) * Creating visualizations * Supervising neuroimaging analyses performed by other members of the lab
Qualifications:
* Master's degree in a relevant academic area or 3 years of relevant full-time work experience * Experience cleaning and analyzing neuroimaging data (e.g., EEG, ERP, MRI, fMRI, DTI) * Strong computer programming skills, particularly in Python and JavaScript * Experience cleaning and analyzing digital phenotyping data preferred but not required If you are interested in applying, please send a CV and cover letter to kmclaughlin@fas.harvard.edu<mailto:kmclaughlin@fas.harvard.edu>. Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.
