Bioinformatics Scientist – Spatial Biology

Bioinformatics Scientist I – Spatial Biology

Bioinformatics Scientist I – Spatial Biology

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 Immunology is to advance the fundamental understanding of human immunology through the study of immune health and diseases where excessive or impaired immune responses drive pathological processes. The Institute will employ a multi-disciplinary team approach in collaboration with academic centers of human immunology to generate novel mechanistic insights into the immune synapse in health and in diseases such as autoimmunity or oncology.

The Institute will simultaneously provide a foundational dataset and tools for future immunological research as well as a novel collaboration portal for the broader scientific community.

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.

and has a track record of discovering novel biological insights from omics data. The successful candidate will also have excellent communication skills that can represent our efforts to our stakeholders internally and in external forums.

At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.

We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.

• 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

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.

• 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…