Manager, Bioinformatics Brain Science
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 Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through integration of experiments, modeling, and theory.
The Allen Institute for Brain Science is seeking a Manager, Bioinformatics who will be part of a multidisciplinary team within the Cell Types Program. Primary responsibilities of this position include leading a small team of Bioinformatics Analysts responsible for developing and administering scalable data processing and management pipelines for various types of single-cell genomics data produced by next-generation sequencing and related technologies.
The incumbent will work closely with PhD-level experimental scientists and computational analysis teams in support of various projects.
This position requires a strong background in bioinformatics, computer science, or a related field, and the ability to work in a fast-paced team environment on large scientific projects. This person will report to the Director.
The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences, and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role.
- Manage a small team of analysts responsible for processing, curation, QC analysis, and distribution of large-scale genomics data
- Stay current with and adopt new tools/applications related to data processing, management, analytics, and visualization to improve current processing pipelines
- Use data surveillance tools and strategies to provide aggregate level reviews to identify patterns or anomalies in our data to ensure high-quality results
- Import and organize data from external sources for comparative analysis with internal data
- Manage data submission to public data repositories
- Partner with scientific teams, both lab scientists and analysis teams, to understand their data needs and offer data management solutions
- Demonstrate a strong understanding of the data flow from collection through analysis
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
- B.S. in Life Sciences, Data/Computer Science, Bioinformatics with at least six years of work experience
- Experience in developing scripts for automated workflows
- Experience organizing and distributing large scale data, preferably single-cell genomics data
- Experience with data analytics and/or visualization tools and techniques
- Experience using cloud platforms (AWS, GoogleCloud) for (genomic) data storage and analysis
- Knowledge of biological principles, clear understanding of data types and their scientific use (RNA-seq, ATAC-seq, etc.)
- Programming skills in one or more scripting languages commonly used in scientific computing, preferably Python
- Strong experience working and programming in a Linux environment
- Demonstrated ability to work collaboratively within cross-functional teams
- Demonstrated ability to manage multiple requests and priorities
Preferred Education and Experience
- M.S. or Ph.D. degree in Life Sciences, Data/Computer Science, Bioinformatics, or related field
- Familiarity with wrangling and analyzing omics data (single-cell RNA-seq, single-cell ATAC-seq), and applicable pipelines
- Experience in working with and knowledge of relational databases (e.g. postgres, SQL)
- Experience with tracking and managing data and metadata in a LIMS
- Experience in genomics data visualization tools
- Interest and curiosity to continually improve data processing and analysis pipelines and respond to scientific needs
- Fine motor movements in fingers/hands to operate computers and other office equipment
Position Type/Expected Hours of Work
- This role is currently able to work remotely due to COVID-19 and our focus on employee safety. We are a Washington State employer, and remote work must be performed in Washington State. We continue to evaluate the safest options for our employees. As restrictions are lifted in relation to COVID-19, this role will return to work onsite.
- Please note, this opportunity may offer work visa sponsorship
- 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.
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