Job Description

Job Description

Job Description

At Sage Bionetworks, we believe in the power of open science and interdisciplinary collaboration to create a new vision of human health. We strive for actionable biomedical insights through the responsible sharing and reuse of data, all guided by our deep scientific expertise and diligent governance controls.

We're a dynamic, adaptable team, and at Sage, we highly value individuals who can flexibly navigate various roles and functions. Diversity in experiences, backgrounds, and identities is essential for our rich culture of learning and collaboration. Our partnerships, both within Sage and with external communities, are founded on principles of trust, transparency, and a commitment to growth. Together, we are leaving a lasting imprint on the fields of science and medicine.

In this role, you will develop and apply computational methods to study human and model system genomic and transcriptomic data. You will contribute to computational biology research projects within several Alzheimer’s research projects focused on novel target discovery and prioritization. You will work closely with other researchers at Sage and at collaborating institutions to process and analyze large sequencing datasets (e.g. RNA-Seq, snRNA-Seq, WGS) using open science tools such as genomics workflow systems (Nextflow) and reproducible R packages. If you are the type of person who enjoys engaging with scientists and researchers from many disciplines; and wants to be an integral part of a team that includes computational biologists, research ethicists, software engineers, and data librarians, we would love to hear from you.

What you’ll be doing:

• Design, build, implement, and maintain infrastructure necessary for storing and processing large volumes of data.

• Create and manage data architecture, data pipelines, and processing systems for the extraction, transformation, and loading (ETL) of bioinformatics data from a variety of data sources.

• Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines.

• Develop robust and scalable solutions that transform bioinformatics data into a useful format for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier.

• Evaluate and recommend tools and technologies for bioinformatics data infrastructure and processing.

• Work with structured and unstructured bioinformatics data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses.

Additional Responsibilities:

• Collaborating with other bioinformaticians on reproducible workflows, shared methods, and community code projects (e.g. GitHub).

• Maintaining and developing internal tooling, including R Shiny applications.

• Writing technical documentation for a scientific audience, co-authoring scientific papers for peer reviewed journals, and presenting work at scientific conferences.

We’d love to hear from you if you:

• Are passionate about open science and collaboration.

• A Bachelor’s degree and 2 years of relevant experience, or a Master’s degree in data science, biomedical/bioengineering, bioinformatics, or equivalent.

• Have expertise in analyzing and interpreting high-throughput genomics data (e.g. WGS, RNAseq, sn/scRNAseq).

• Are proficient in R or Python.

• Have familiarity with Linux shell scripting.

• Are proficient with installing and running software tools within a Linux command line interface (CLI).

• Have experience with collaborative development and version control systems (e.g. git).

• Have experience with cloud computing and/or high performance compute.

Project/Team specific skills preferred:

• Experience with Docker environments is preferred.

• Experience with R data management packages (e.g. tidyverse, dplyr) preferred.

• Experience with a scientific workflow language (e.g. Nextflow, CWL, Snakemake).

• Familiarity with genomics, transcriptomics, proteomics assays, and data types.

• Strong familiarity with the FAIR principles (

• Familiarity with Jira, GitHub, Synapse, and other tools for data, code, and project management.

• Experience with both AWS and Google Cloud Platform preferred.

Job Functions and Physical Requirements

The following cognitive and physical activities outline the essential functions required for successful job performance. Reasonable accommodations may be provided to enable individuals with disabilities to fulfill these functions.

Physical Demands

• Extended periods of sitting at a desk and using a computer.

• Repeated wrist, hand, and finger movements.

• Requires clear vision for tasks like data analysis, transcribing, computer use, and reading.

• Occasionally lifting or moving objects weighing up to 10 pounds.

Cognitive Demands

• Able to work effectively under deadlines.

• Strong problem-solving and analytical skills.

• Attention to detail and accuracy.

• Flexibility to adapt to changing environments, priorities and multitask.

Additional Requirements

• Travel is required a minimum of two times per year for on-site events in Seattle, WA.

• Effective verbal and written communication skills.

• Works well in a team and maintains professionalism.

• Follows company policies, procedures, and relevant laws and regulations.

Note: This list is not exhaustive and may be subject to modification as job duties evolve.

About Us

Sage Bionetworks is a nonprofit biomedical research organization that was founded in Seattle in 2009. We focus on advancing human health through open science practices and radical collaboration, with a view to breaking down existing silos in science and technology. Through our work, we guide responsible data sharing and reuse, benchmark scientific methods and results, and empower participants to be active partners in research. We are a bold team of scientists, engineers, product developers, governance specialists and business experts, working to bring data and communities together in unique ways that accelerate medical progress. As a growing organization, Sage is supported through a dynamic portfolio of competitive research grants, commercial partnerships, and philanthropic contributions.

Sage Bionetworks is pleased to offer a comprehensive benefit package, competitive to both commercial and not-for-profit life science organizations. The plan includes: health, dental, vision, life, AD&D and long term disability benefits; paid time off; a retirement plan; flexible spending accounts; a shared incentives plan, voluntary long term care insurance, and other voluntary products. Additional information can found here: Benefits – Sage Bionetworks

At Sage Bionetworks, we engage equitable workplace strategies to ensure fair compensation. Actual compensation is dependent upon current market data, experience, and pay parity within our organization. This position is a Professional level position, with a compensation range of $93,300 to $135,900.

We have a distributed workforce and support remote and/or on-site hybrid work arrangements within the United States. All interviews will be conducted virtually unless otherwise communicated.

At Sage Bionetworks, we uphold equal employment opportunities for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, or veteran status. We strictly prohibit discrimination and harassment based on these protected categories, in compliance with federal and state equal employment opportunity laws.

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