Scientific Data Engineer
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 Data Engineer (Data Scientist) with broad experience in developing computer codes/scripts to automate the analysis of omics data, especially next generation sequencing (NGS) data, to join our Informatics and Computational Biology team.
You will be part of a multidisciplinary team and will be responsible for (i) development and implementation of data processing and analysis software as needed, (ii) assisting in both pipeline and exploratory analysis of data from diverse assays and sample types, (iii) working towards visualizations and reports for internal and external dissemination. As such, ideal candidates should have a good understanding of sequencing technologies, and a proven track record of development of analytical software packages. This role includes analysis and integration of “big data” types, and working in close collaboration with the software development team for deployment on our interactive cloud environment to ensure user accessibility and generation of actionable insights. You will also support technology development projects in collaboration with the Molecular Biology and Immunology teams.
Good judgment and problem-solving skills are required for recognizing anomalous data, identifying and fixing code bugs and participating in data-driven algorithm design and improvement. A successful candidate will have demonstrated success in big data science, code optimization and deployment. The Bioinformatics Data Engineer must have excellent attention to detail and the eagerness to work in a team science, deadline-driven atmosphere.
Required Education and Experience
Preferred Education and Experience
Expected Hours of Work
**Please note, this opportunity does sponsor work visas**
**Please note, this opportunity offers relocation assistance**
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.