Lead Scientific Software Engineer, MoBI
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Role details
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Job description
As part of the Research, Strategic Data Initiatives team, you will report to Research, Strategic Data Initiatives. You will be responsible for MoBI’s technical architecture, standards, and best practices while providing technical leadership and project-level guidance. This role will establish technical direction, mentor team members, and ensure engineering excellence across all MoBI development efforts. The Lead Scientific Software
Developer will develop and maintain multiple scientific software packages, pipelines, and web based applications for use in mental health research and use a range of laboratory methods across projects, including functional and structural magnetic resonance imaging (MRI), electrophysiology (EEG), physiological measures (e.g., actigraphy, heart rate, respiration), computer-based tasks, eye tracking, and ecological assessments. This is an exempt, full- time position requiring a minimum of four (4) days per week in the office located in our NYC headquarters office.
You Will:
- Manage MoBI’s technical architecture, standards, and best practices; providing technical
leadership and project-level guidance and defining and maintaining technical strategy and
roadmap for MoBI Core pipelines and infrastructure.
- Develop and implement pipelines for collection, quality control, and analysis of data for
MoBI experiments.
- Specify analytic requirements for experiments to establish usability and validity of
software pipelines.
- Program 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, and share code to GitHub, or
equivalent, repositories for version control, leading code review processes and establish
quality standards for team deliverables
- Write documentation and relevant text for scientific, clinical, or public distribution of
knowledge.
- Mentor team members on technical approaches, best practices and professional
development and act as the internal resource to scientific and clinical teams with software
and data science needs at the Child Mind Institute and collaborating centers.
- Perform additional job-related duties as assigned.
Requirements
- PhD in Computer Science, Cognitive Science, Neuroscience, Biomedical Engineering or related field or equivalent combination of education and experience.
- 5+ years of experience in at least one data modality of MoBI: MRI, EEG, physiological measures, eye-tracking, developing computer-based tasks, or ecological assessments.
- Demonstrated capacity for technical leadership including architecture design and team mentorship
- Programming expertise in a combination of Python (including the scientific Python ecosystem), R, C++, C#, Javascript, Matlab, bash scripting, or equivalent.
- Experience working in Unix/Linux environments on both personal and high-performance computing infrastructures.
- Deep knowledge of image and signal processing.
- Experience developing and applying data analysis and machine learning technologies independently.
- Proven ability to establish technical standards and best practices.
((#LI-remote, #LI-on-site, #LI-hybrid)).
Benefits & conditions
96647.00 To 159001.00 (USD) Annually medical insurance, parental leave, 401(k) United States, New York, New York 215 East 50th Street (Show on map) Oct 14, 2026
About Child Mind Institute
We’re dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We’ve become the leading independent nonprofit in children’s mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow’s breakthrough treatments., Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website.
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