Bioinformatics Scientist I – Spatial Biology
About the role
The Allen Institute for Immunology is seeking a Bioinformatics Scientist I to analyze Spatial Biology data in research projects. 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, has experience in immunology and adaptive immune responses, has a background in bioinformatics with experience in analysis scRNA datasets and preferentially is familiar with spatial transcriptomic techniques and analysis. The successful candidate will also have excellent communication skills that can represent our efforts to our stakeholders internally and in external forums.
Responsibilities
- Develop and implement analytic strategies for Spatial Biology data, including but not limited to transcriptomics, protein, and/or imaging combined with corresponding scRNA data.
- Lead/co-lead the analysis of Spatial Biology data in individual projects, generate testable hypotheses for new biological insights, and identify potential biomarkers and/or drug targets for disease of interest.
- Collaborate with other bioinformatics analysts and/or scientists.
- 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.
Requirements
- PhD in immunology, bioinformatics, biostatistics, computational biology, or closely related disciplines; or equivalent combination of education and experience.
- Experience in analyzing Spatial Biology data, including but not limited to: transcriptomics, protein, and/or imaging data or extensive experience in scRNA analysis.
- Strong background in immunology.
- Experience in developing and implementing new data analytic strategies and/or pipelines.
- 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 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.
Qualifications
- Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined 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 401(k) plan. Paid time off is also available as outlined in the Allen Institute’s Benefits Guide.
Benefits
- Medical, dental, vision, and basic life insurance.
- Allen Institute 401(k) plan.
- Paid time off.
Pay
$92,250 - $114,100 annually *
* Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable.
Schedule
Occasional evening and weekend hours required.
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.
Additional Comments
Please note, this opportunity offers relocation assistance.
Please note, this opportunity may offer work visa sponsorship.