Computational Biologist 3
Computational Biologist 3
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Salary Not Disclosed
1 Vacancy
Job Description
Department Overview
In the Ajami Lab (OHSU) we are building next-generation tools to decode how immune cells especially microglia shape the course of neurodegenerative diseases like Alzheimers Parkinsons and ALS. Our vision To reverse-engineer the immune system in the brain using patients samples and cutting-edge single-cell and spatial omics. Were looking for a Lead Data Scientist to helm the bioinformatics arm of the lab. Youll work closely with our internal team and external consultant and industry collaborators such as to develop and re-engineer machine learning and AI tools tailored specifically for brain-resident immune cells. You will also mentor and guide our sharp in-house data science crew helping take our analysis pipelines and disease modeling to the next level.
Function/Duties of Position
Implement and adapt existing analytic tools for high dimensional data analysis.
Development and application of data-analytical and theoretical methods mathematical modeling and computational simulation techniques.
Write programs in R and Python.
Help to develop new analytic pipelines and tool.
Required Qualifications
PhD in immunology or Computational Biology with knowledge of immunology OR
Masters Degree in Computational Biology or related field AND 6 years of relevant experience.
Equivalent combination of Bachelors in relevant field in conjunction with training and experience may be considered.
Excellent communication analytical and organizational skills.
Ability to work independently and as part of a team while being collaborative in resolving problems.
Ability to prioritize multiple tasks at one time.
Must possess energy and drive to coordinate multiple projects simultaneously.
Ability to use tact and diplomacy to maintain effective working relationships.
Preferred Qualifications
- Understanding of microglia and macrophage biology.
Additional Details
- Typical schedule: Monday - Friday occasional nights and weekends
- Work schedule may vary depending on job/study requirements
- Work location is primarily remote. Must be able to connect and share via video conferencing
All are welcome
Employment Type
Full-Time
