Bioinformatics Scientist I – Neuroimmunology

About the role

The Allen Institute for Immunology is seeking a Bioinformatics Scientist I - Neuroimmunology to analyze multi-omics data to gain new biological insights in neuroimmunology. Reporting to the Director of Informatics & Computational Biology at the Allen Institute for Immunology, the ideal candidate is a self-motivated team player who can work closely with immunologists and bioinformaticians, is an expert in analyzing multi-omics data, and has a track record of discovering novel biological insights. The successful candidate will also have excellent communication skills that can represent our efforts to our stakeholders internally and in external forums.

Essential Functions

• Analyze multi-omics data from neuroimmunology projects, including but not limited to: spatial transcriptomics, scRNA-seq, proteomics, flow cytometry, and/or imaging
• Work closely with cross-functional teams to discover new insights in neuroimmunology, either as an independent contributor or as a project leader under minimal supervision
• Write reports, research papers, patent applications, and other documents
• Represent our efforts to our stakeholders internally and in external forums
• Contribute to a rigorously scientific, cohesive and efficient team environment

Required Education and Experience

• PhD in bioinformatics, biostatistics, computational biology; or PhD in immunology or neuroscience, or related disciplines including molecular biology and cell biology with extensive bioinformatics experience; or equivalent combination of degree and experience

Preferred Education and Experience

• Demonstrated experience in analyzing diverse omics data, including but not limited to: spatial transcriptomics, scRNA-seq, proteomics, flow cytometry, and/or imaging
• Previous experience in neuroimmunology
• Familiar with Spatial Biology technologies
• A track record of discovering novel biological insights from omics data
• Foundational knowledge of bioinformatics
• Experience with R and/or Python
• Strong publication record
• Familiar with advanced statistical methods and machine learning for biomarker discovery
• Experience working in a cross disciplinary, team-based environment
• Experience working with outside collaborators to achieve defined objectives
• Familiarity with cloud computing and/or Linux
• Experience using Git or similar version control system
• Excellent written and verbal communication skills and organizational skills
• Good problem-solving skills, curious and eager to take on new challenges
• Able to work independently as well as in a collaborative high paced environment
• The successful candidate must be self-motivated, a team player, attentive to details, and able to handle multiple projects simultaneously

Work Environment

May enter laboratory environment - possible exposure to chemical, biological, or other hazardous substances

Physical Demands

• Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment

Position Type/Expected Hours of Work

• Occasional evening and weekend hours required
• 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

Travel

• Attendance and participation in national and international conferences may be required

Additional Comments

• Please note, this opportunity offers relocation assistance
• Please note, this opportunity may offer work visa sponsorship