Scientific Software Engineering Generalist

| New York, NY, USA | Hybrid
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The Child Mind Institute (CMI) is recruiting a Scientific Software Engineering Generalist to join our software research team and help us develop and maintain various scientific software packages, pipelines, and web-based applications for use in mental health research. The Scientific Software Generalist will work within the Center for Data Analytics, Innovation, and Rigor, working both on the Data Analytics Core that supports ongoing needs of initiatives throughout CMI, and on dedicated software products such as the Configurable Pipeline for the Analysis of Connectomes. Their responsibilities include writing, debugging, and testing code for arbitrary image and signal processing and data analysis tasks, software packaging, and the development of training resources. Ultimately, successful candidates will use common frameworks, platforms, and languages, such as Python, R, GitHub, and high performance computing infrastructures, to assist with software development initiatives at the interface of our clinical and fundamental research needs. Projects supported will range from NIH-funded studies to large-scale initiatives (e.g., Next Generation Digital Therapeutics Program, SNF Global Center).
Reporting to the Director of the Center for Data Analytics, Innovation and Rigor (DAIR), this is an exempt, full-time position located in either New York City, NY, USA or Montréal, QC, Canada. This position will regularly involve collaboration with other groups both within and beyond the Child Mind Institute.
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 will include, but are not limited to:

  • Develop and implement pipelines for the analysis of data from MRI-based or phenotypic experiments
  • Develop and implement quality control metrics of processed data to be used prior to scientific analysis
  • 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.


  • 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 Biomedical Engineering, Computer Science, Cognitive Science, Neuroscience, Biomedical Engineering or related field.

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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