Scientist I, Quantitative Cell Biologist
Apply NowCompany: Allen Institute for Brain Science
Location: Seattle, WA 98115
Description:
Scientist I, Quantitative Cell Biologist - Cell Science
The mission of Allen Institute for Cell Science is to develop a comprehensive and holistic approach to measure, describe, and model cell states and their dynamic changes over time. Our ultimate goal is to uncover the fundamental principles of multiscale, multicellular morphogenesis, including how groups of cells organize and achieve collective behaviors essential for life. Our approach encompasses multi-modal data collection including live 3D timelapse imaging, data analysis, theory, and predictions to understand cell states and cell state transitions in human induced pluripotent stem cell models. 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.
We seek a highly motivated and goal-oriented Scientist I - Quantitative Cell Biologist, Computational with a unique blend of both deep biological understanding and technical computational expertise. The ideal candidate will focus on descriptive modeling and computational analyses of quantitative microscopy-based image assay data. These data analyses will be performed in an iterative fashion with development of the appropriate experimental assays and image analyses toward new biological insights. This may also include developing new descriptive modeling frameworks, as well as implementing image preprocessing, image analysis and feature extraction required for transforming image data into appropriate hypothesis-driven and interpretable conclusions. The person in this role will be required to directly perform analyses but not be required to directly perform experiments. They may 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.
At the Allen Institute, we believe that science is for everyone - and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.
Essential Functions
*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
Preferred Education and Experience
Physical Demands
Position Type/Expected Hours of Work
Additional Comments
Annualized Salary Range
* Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.
Benefits
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
The mission of Allen Institute for Cell Science is to develop a comprehensive and holistic approach to measure, describe, and model cell states and their dynamic changes over time. Our ultimate goal is to uncover the fundamental principles of multiscale, multicellular morphogenesis, including how groups of cells organize and achieve collective behaviors essential for life. Our approach encompasses multi-modal data collection including live 3D timelapse imaging, data analysis, theory, and predictions to understand cell states and cell state transitions in human induced pluripotent stem cell models. 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.
We seek a highly motivated and goal-oriented Scientist I - Quantitative Cell Biologist, Computational with a unique blend of both deep biological understanding and technical computational expertise. The ideal candidate will focus on descriptive modeling and computational analyses of quantitative microscopy-based image assay data. These data analyses will be performed in an iterative fashion with development of the appropriate experimental assays and image analyses toward new biological insights. This may also include developing new descriptive modeling frameworks, as well as implementing image preprocessing, image analysis and feature extraction required for transforming image data into appropriate hypothesis-driven and interpretable conclusions. The person in this role will be required to directly perform analyses but not be required to directly perform experiments. They may 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.
At the Allen Institute, we believe that science is for everyone - and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.
Essential Functions
- Develop robust interpretable quantitative analyses and pipelines to extract quantitative information from microscopy images
- Apply descriptive modeling and statistical analysis to interpret quantitative information to generate biological insights
- Develop and maintain custom scripts and software tools for image analysis, data processing, and descriptive modeling (Python proficiency required)
- Work closely with others in the institute to scale-up image and data analysis protocols into a high throughput computation pipeline
- 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 iterating between quantitative image-based cell assay data and interpretable analysis of that data
- Experience working with 3D live-cell and timelapse imaging techniques (especially 3D confocal, spinning disk, or light sheet approaches) and associated image and data analysis
- Advanced Python programming
- 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
Physical Demands
- Fine motor movements in fingers/hands to operate computers and other office 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 615 Westlake Ave N., with the flexibility to work remotely on a limited basis
Additional Comments
- **Please note, this opportunity offersrelocation assistance**
- **Please note, this opportunity offers work visa sponsorship**
Annualized Salary Range
- $90,900 - $112,400 *
* Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.
Benefits
- Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute's Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute's 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute's benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.
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