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Scientific Software Engineering Generalist
2 months ago
Summary:
The Child Mind Institute (CMI) is seeking a Scientific Software Engineering Generalist to join the Mobile Body Brain Imaging (MoBI) research core and help us develop and maintain various scientific software packages, pipelines, and web-based applications for use in mental health research.
A range of laboratory methods will be used across projects, including electrophysiology (EEG), physiological measures (e.g., actigraphy, heart rate, respiration), computer-based tasks, eye-tracking, and natural language processing; additionally, ecological assessments, including experiential sampling and cognitive burst sampling will be used to capture behavior outside the lab.
Domain experts for specific data modalities will be available to provide knowledge and assist with implementation planning and evaluation. Projects supported will range from NIH-funded studies to large-scale initiatives (e.g., Next Generation Digital Therapeutics Program, SNF Global Center). This position will regularly involve collaboration with other groups both within and beyond the Child Mind Institute.
Reporting to the Program Manager of the Mobile Body Brain Imaging Core in the Center for Data Collection and Sharing Initiatives, this is an exempt, full-time position located in either New York City, NY, USA or Montréal, QC, Canada.
The Child Mind Institute is proud to be named a
Great Place to Work-Certified
company Our competitive compensation and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our
employee benefits website .
Responsibilities:
Develop and implement pipelines for analysis of data from MoBI experiments.
Develop and implement quality control metrics of MoBI data.
General-purpose programming support for scientific and clinical projects.
Program cognitive tasks, software pipelines, data visualization tools, and machine learning or data science utilities for a variety of scientific use cases.
Contribute to effective, scalable, well-documented code.
Share code to GitHub, or equivalent, repositories for version control.
Prototype apps and programs in iterative collaboration with the research team.
Engage with multiple internal teams to understand user requirements and provide technical solutions.
Write documentation and relevant text for scientific, clinical, or public dissemination of knowledge.
Define project and collaboration objectives, tasks, and deliverables at the outset of new efforts, and provide ongoing monitoring of progress and alignment.
Serve as an internal resource to scientific and clinical teams with software and data science needs at the Child Mind Institute and collaborating centers.
Qualifications:
Expertise (5+ years experience) in one data modality of MoBI: EEG, physiological measures, eye-tracking, natural language processing, developing computer-based tasks, or ecological assessments is preferred.
Programming experience in a combination of Python (including the scientific Python ecosystem), R, C++, C#, Javascript, Matlab, bash scripting, or equivalent and similarly popularly used libraries.
Comfortable working in Unix/Linux environments on both personal and high performance computing infrastructures.
Knowledge of image and signal processing broadly.
Ability to independently and responsibly develop and apply data analysis and machine learning technologies.
Strong problem-solving skills.
Strong communication skills, both verbal and written.
Highly collaborative.
Detail oriented and organized.
MSc or above in Computer Science, Cognitive Science, Neuroscience, Biomedical Engineering or related field is preferred.
Special Considerations:
Please upload your CV during the application process.
The Child Mind Institute is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law [Vehicle Code section 12801.9]); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.
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