Scientific Data Engineer I – Image Analysis

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Scientific Data Engineer I – Image Analysis

Scientific Data Engineer I – Image Analysis

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 Computational Cell Science team is to develop scalable, quantitative image-based analysis frameworks of cell organization, activity, and function. This Scientific Data Engineer position will contribute to developing and implementing the image analysis/computational side of robust cell-based assays of key cellular activities that are amenable to scale-up and can be integrated into a live-cell high-throughput microscopy pipeline. The focus of this position is on image analysis, feature extraction, and computational activities. S/he 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

• Assist in developing and implementing robust image analysis pipelines, algorithms, feature extraction, and protocols for reproducible image-based assays of cell organization, dynamics, activities, and function.
• Collaborate with other teams in the institute to scale-up image 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 meticulous records and work closely with other scientists to coordinate complex experiments.
• Adherence to SOPs, GLPs, and regulatory requirements.

Required Education and Experience

• BA/BS in any science, computation, or engineering field or related degree.

Preferred Education and Experience

• Experience in image analysis, data analysis, and machine learning.
• 1+ years hands-on experience in Python.
• Masters in any science, computation, or engineering field or related degree.
• Hands-on experience in image analysis, data analysis, and machine learning.
• Hands-on experience either from internship or undergraduate research in one or more of the following areas:
• Classic approaches to image analysis.
• Deep learning approaches to image analysis.
• Biological or biomedical image analysis.
• Microscopy image analysis.
• 3D image analysis.
• Low signal to noise image analysis (including e.g. in astronomy or other non-biological research).
• Statistical analyses.
• Experience with image-based biology assays; some experimental experience would be an advantage.
• Experience with developing or contributing to open-source tools/packages.
• Experience utilizing software engineering practices such as version control, build management, and testing.
• Experience working in a multi-disciplinary environment in academic or industrial settings.
• Excellent interpersonal skills.
• Ability to work both independently and in a collaborative, multi-disciplinary environment.
• Careful attention to detail.
• 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.

Position Type/Expected Hours of Work

• This role is currently able to work in a hybrid work environment. We are a Washington State employer, and any remote work must be performed in Washington State.

Annualized Salary Range

• $77,250 - $103,000*

* Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.

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 Institute’s Benefits Guide.

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.