Scientist – Image Registration & Multimodal Data Integration
|Published||January 31, 2023|
|Location||Seattle, United States of America|
- Register multiscale spatial transcriptomics, structural and functional imaging data to species and time specific reference brain templates through the selection and creation of registration methods and tools
- Define and implement registration quality metrics
- Create tools and workflow to enable manual input, visualization, quality assessment and manual correction of registration results
- Participate in the co-analysis of registered images towards creation of multimodal common coordinate frameworks and atlases
- Regularly communicate findings to collaborators, cross-functional teams, and the Institute regarding key insights, findings, and questions derived from data analysis
- Interact with scientists from diverse backgrounds and perspectives to design analytical approaches and refine computational strategies
- Develop code libraries, tutorials, and user guides to enable use and dissemination of the selected and/or developed registration and quality metric tools
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.
- PhD degree in computer science, engineering, applied mathematics, or related field, or equivalent combination of degree and experience
Preferred Education And Experience
- 0-5 years experience in scientific computing and analysis using Python and Bash/LINUX environments
- Experience applying computer vision and image processing algorithms to imaging data, including segmentation and linear/nonlinear image registration
- Experience applying machine vision and image registration libraries (e.g. OpenCV, scikit-image, ANTs, ITK)
- Experience with C/C++, Java, and/or Python
- Experience with modern software development best practices (e.g., git, GitHub)
- Experience in applied statistics and machine learning and command of current literature
- Knowledge of human neuroanatomy and neurodegenerative disease processes
- 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 able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.
- Occasional travel to partner sites for collaborative development
- Attendance and participation in national and international conferences required
Additional Eligibility Qualifications
- In keeping with our focus on employee safety, all employees must be fully vaccinated against COVID-19 as a condition of employment unless a medical or religious exemption is approved. All employees will be required to keep their vaccination status up to date according to CDC guidance and our policy.
- **Please note, this opportunity offersrelocation assistance**
- **Please note, this opportunity offers work visa sponsorship**
Annualized Salary Range
- $80,253 - $112,355 *
- Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable.
- Employees (and their families) are eligible to enroll in benefits per eligibility rules outline 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.