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Scientist I, Quantitative Cell Biologist

Department: Assay Development

Scientist I, Quantitative Cell Biologist – Cell Science

The mission of the Allen Institute for Cell Science is to create multi-scale visual models of cell organization, dynamics, and activities. Our approach encompasses large scale data collection, observation, theory, and predictions to understand cellular behavior in normal and pathological contexts. As a division within the Allen Institute, the Allen Institute for Cell Science uses a team-oriented approach, focusing on accelerating foundational research, developing standards and models, and cultivating new ideas to make a transformational impact on science.

The goal of the Image-based Assay Development team is to develop scalable, quantitative image-based assays of cell organization, activity, and function, and generate initial data and analyses of these assays. This Scientist level position will sit at the interface between the experimental development of robust image-based assays, and the computational and image analyses on data generated by these assays. The dual focus of this position is on developing both the experimental assays and the analyses, including the image analysis, feature extraction, and parameter design required for transforming experimental microscope image-based data into appropriate hypothesis-driven and exploratory analyses and interpretable conclusions. This position will require extensive knowledge of the cell biology and hands-on experience with both experimental and quantitative analysis approaches. The person in this role will be required to directly perform experiments and analysis but may also be required to supervise the activities of others and will work collaboratively with the Institute’s technical and programmatic teams to achieve the Institute’s matrixed, programmatic objectives.

The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role.

Essential Functions

  • Develop robust protocols, reproducible image-based assays, and interpretable quantitative analyses of cell organization, dynamics, activities, and functions
  • Collaborate with other teams in the institute to scale-up image and data analysis protocols into a high throughput computation pipeline
  • Contribute to the implementation of a large-scale scientific data management system
  • Coordinate with other programs in the Institute to ensure seamless integration and sharing of resources and data
  • Maintain rigorous quality control standards
  • Maintain meticulous records and work closely with other scientists to coordinate complex experiments
  • Prepare written summaries and present activities internally and publicly
  • Adherence to SOPs, GLPs and regulatory requirements

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

  • PhD in cell biology, biophysics, bioengineering or related science or engineering degree; or equivalent combination of degree and experience required

Preferred Education and Experience

  • Extensive knowledge, background, and expertise in quantitative cell biology
  • Extensive experience in combining the development and interpretable analysis of quantitative image-based cell biological assays
  • Experience in 3D live-cell and timelapse imaging techniques and data analysis
  • Experience with Python/Jupyter notebooks
  • Experience with standard cell biology techniques (cell culture, Western, Immunofluorescence)
  • Experience in a range of state-of-the-art light microscope modalities (especially 3D confocal and spinning disk microscopes)
  • Experience with developing or contributing to open-source tools/packages
  • Experience utilizing software engineering practices such as version management, build management and testing
  • Excellent interpersonal skills
  • Experience working in a multi-disciplinary environment in academic or industrial settings
  • Ability to work both independently and in a collaborative, multi-disciplinary environment
  • Careful attention to detail

Work Environment

  • May enter laboratory environment, including potential exposure to lasers, biohazards

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 remotely when possible, due to COVID-19 and our focus on employee safety. We continue to evaluate the safest options for our employees.


  • Attendance and participation in national and international conferences required. Travel may not be required to attend.

Additional Comments

  • **Please note, this opportunity offers relocation assistance**
  • **Please note, this opportunity offers work visa sponsorship**


It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.





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