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Position TitleBioinformatics Scientist II - high dimensional cytometry

Company Information

The Allen Institute for Immunology will work to understand the dynamic balancing act of the human immune system, how it senses friend from foe and what goes wrong when we’re ill. This will help us to improve immune health and how we diagnose, treat and prevent immune-related diseases. Everything we do begins with patients who are living with and suffering from these diseases. We believe that by unlocking the mysteries of the immune system, we can make a significant improvement in patients’ health and well being.

Duties and Responsibilities

The recently-launched Allen Institute for Immunology is seeking outstanding individuals with deep expertise in bioinformatics and biostatistics applied to high throughput flow cytometry, mass-cytometry, and related technologies.

The institute is launching a series of collaborations focused on understanding the behavior of the immune system in autoimmune diseases and cancer. We are therefore especially interested in individuals with a background in human immunology. For details of the Institute’s research plans and partners, see https://alleninstitute.org/what-we-do/immunology/.

The Allen Institute offers exceptional working conditions, and nurtures diversity and team-science in an intellectually rich and stimulating setting.

Position Qualifications

Required Qualifications

PhD in bioinformatics, biostatistics, computational biology or related disciplines.
2+ years related post-PhD experience.
Fluency in R and/or Python.
Working knowledge of shell scripting.
Working knowledge of version control systems such as Git.
Hands on experience working with high dimensional flow and mass cytometry.
Training in molecular biology, high-throughput technologies, and immunology.
Strong track record of developing new tools/pipelines.
Experience with high throughput data analysis.

Preferred Qualifications

Experience in integrative analysis of single cell and bulk data.
Experience in integrative analysis of multiple data modalities.
Experience in data visualization, dimensionality reduction and related methods.
Ability to develop, test, implement, and share new computational tools quickly, in an iterative manner, after feedback from experimental, data production, and analysis teams.
Experience studying human immunology.
Exceptional oral and written communication skills.
Ability to work independently as well as part of a team.
Demonstrated ability to track and meet goals and milestones across multiple projects.

Desirable General Abilities

Excellent written and verbal communication skills.
Demonstrated ability to document work accurately and precisely.
Strong organizational skills and careful attention to detail.
Able to work independently as well as in a collaborative high paced environment.
Experience working in a cross disciplinary, team-based environment.
Experience working with outside collaborators to achieve defined objectives.

Environment:

Working at computer and using mouse for extended periods of time.
Travel Required: 3 - 6 trips per year
May need to work outside of standard working hours at times.

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.