The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.

The mission of the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through integration of experiments, modeling, and theory.

We are seeking a skilled data analyst to work with i nterdisciplinary teams of experimental and computational scientists to facilitate the analysis of the rich datasets we are acquiring, both within our team and by the broader neuroscience community. This person will design and improve schemas for the data and metadata that are the critical foundation of our mission to support open, reproducible, and FAIR science. The candidate will work closely with internal and external scientific teams to visualize data and write software that facilitates the use of these tools. The ideal candidate will be excited to engage deeply with scientists, familiar with modern Python software development practices, and have experience analyzing complex biological data.

The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences, and backgrounds. Progress in science benefits from multiple perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role.

Essential Functions

• Develop and support interactive visualization tools to enable cross-team communication and analyses of physiological and anatomical data
• Maintain data and metadata schemas, extended them to incorporate new experimental and analytical needs
• Develop new dashboards to monitor the status of data projects t o enable rapid feedback and iteration of experiments and analyses
• Support cross-team communication about data management and analysis

Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.

Required Education And Experience

• Bachelor’s degree in Neuroscience, Computational Neuroscience, or related field; or an equivalent combination of degree and experience
• Experience with scientific computing in Python

Preferred Education And Experience

• 2-5 years of equivalent experience
• Experience analyzing neurophysiology and/or neuroanatomy data
• Excellent written and verbal communication skills
• Experience with version control software (e.g. Git) and continuous integration workflows
• Experience with scientific visualization methods
• Self-motivated, and ability to troubleshoot
• Ability to work independently and within a collaborative, multi-disciplinary environment to meet aggressive timelines

Physical Demands

• Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment

Position Type/Expected Hours of Work

• This role is currently working onsite and is expected to work onsite for the majority of working hours. The primary work location for this role is Allen Institute campus, with flexibility to work remotely on a limited basis. We are a Washington State employer; any remote work must be performed in Washington State.

Travel

• Attendance and participation in national and/or international conferences may be required

Additional Comments

• Please note, this opportunity offersrelocation assistance
• Please note, this opportunity does not offer work visa sponsorship