Bioinformatics Scientist III Spatial Biology Location Seattle United States Job Description 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 data set 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 III to lead/co-lead the analysis of 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, is an expert in analyzing Spatial Biology transcriptomics, protein, and imaging data, has a track record of discovering novel biological insights from omics data, and has experience in managing junior colleagues. 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. Essential Functions Develop and implement analytic strategies for Spatial Biology data, including but not limited to transcriptomics, protein, and/or imaging 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 Manage junior 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 managements assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned. Required Education and Experience PhD in bioinformatics, biostatistics, computational biology, or closely related disciplines; or equivalent combination of education and experience 5+ years of post-degree experience Preferred Education and Experience Extensive experience in analyzing Spatial Biology data, including but not limited to transcriptomics, protein, and/or imaging data Experience in developing and implementing new data analytic strategies and/or pipelines Demonstrated experience in leading research projects A track record of managing junior colleagues 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 Work Environment May enter laboratory environment - possible exposure to chemical, biological, or other hazardous substances. Physical Demands Fine motor movements in fingers/hands to ope Apply To This Job