Scientist – ML / AI Algorithms for Alzheimer’s Disease
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.
The Allen Institute for Brain Science, located in Seattle, Washington, recently begun a major consortium program to understand the cellular and molecular basis of Alzheimer’s disease using cutting-edge single cell methods established at the Allen Institute and through the NIH BRAIN Initiative. We are mapping Alzheimer’s disease progression by generating unique, large-scale (millions of cells) single nucleus transcriptional, chromatin accessibility, and spatial information, together with detailed neuropathological and cognitive information.
We are seeking to fill a Scientist level position to design modern machine learning methods to contribute to the mechanistic understanding of Alzheimer’s disease pathology. The successful candidate will have a strong background in computational biology, and experience developing deep generative models and Bayesian algorithms. Strong preference will be given to individuals with a track record of both individual and team contributions in solving complex research problems, and experience in cutting edge computational methodologies applied to biological -omics, spatial and/or clinical metadata.
This position will work with interdisciplinary teams consisting of quantitative and experimental scientists on high-priority modeling and analysis problems that include (i) statistical descriptions of regulators of cell identity and disease progression, (ii) deep generative modeling-based analysis of multi-modal datasets, and (iii) causal models of disease progression.
- Develop statistical models characterizing regulators of cell identity and neurodegenerative progression
- Develop novel Bayesian inference algorithms for multi-modal data
- Develop causal models of disease progression
- Participate in a highly interactive and multidisciplinary environment
- Publish/present findings in peer-reviewed journals/scientific conferences
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 computer science, neuroscience, physics, mathematics, engineering, or related field or equivalent combination of education and experience
Preferred Education and Experience
- 0 - 3 years of directly relevant postdoc work or research experience
- Experience with Bayesian modeling and inference
- Knowledge of Python/R and high-performance computing
- Familiarity with analysis of RNA-sequencing or related data types
- Ability to work in a collaborative environment
- Experience in computational biology
- Experience with GPU-based deep learning
- Proven independent thinking
- Strong written and verbal communication skills
- Strong publication record
- 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 remotely due to COVID-19 and our focus on employee safety. We are a Washington State employer, and remote work must be performed in Washington State. We continue to evaluate the safest options for our employees. As restrictions are lifted in relation to COVID-19, this role will return to work in a hybrid work environment.
Additional Eligibility Qualifications
- In keeping with our focus on employee safety, all employees must be up to date with vaccinations against COVID-19 as a condition of employment unless a medical or religious accommodation is approved. All employees will be required to keep their vaccination status up to date according to CDC guidance.
- **Please note, this opportunity offers relocation assistance**
- **Please note, this opportunity may offer 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.