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 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 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. Essential Functions 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. Required Education And Experience PhD in immunology, bioinformatics, biostatistics, computational biology, or closely related disciplines; or equivalent combination of education and experience. Preferred 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. 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** Annualized Salary Range $92,250 - $114,100 * Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable. Benefits 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 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: 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. #J-18808-Ljbffr