Senior Research Data Scientist

at  SAGE BIONETWORKS

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.
We are looking for a Senior Research Data Scientist to join our Alzheimer’s Disease Translational Research team. You will lead and contribute to computational biology research projects utilizing multi-omic data in the AD Knowledge Portal, which hosts data from a variety of National Institutes on Aging-supported programs focused on Alzheimer’s Disease and other neurodegenerative diseases. You will pursue independent and highly collaborative research aims with the goal of publishing papers, presenting findings at international conferences, and supporting working groups and other team science initiatives within AD Knowledge Portal-supported programs. The ideal candidate will have a background in Alzheimer’s Disease Research, have strong computational biology/bioinformatics skills as applied to multi-omic data, and will have enthusiasm for open science approaches to advancing research in Alzheimer’s Disease and related dementias.
As a Senior Research Data Scientist, you will be considered highly skilled and proficient in data analytical techniques, conducting complex and important work under minimal supervision with wide latitude for independent judgment. You will lead scientific projects, perform advanced data analysis, and contribute to scientific publications and strategic initiatives.

PREFERRED SKILLS:

• Extensive experience with R and/or Python programming, particularly for analysis of multi-omic data (such as transcriptomic, genetic, proteomic, metabolomic, and epigenetic data).
• Research background in Alzheimer’s Disease and related dementias.
• Experience with collaborative development/version control systems (e.g., git).
• Have excellent written and verbal communication skills
• Have strong collaboration and teamwork skills

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 implement equitable workplace strategies to guarantee fair compensation. Actual compensation is determined based on current market data, experience, and internal pay parity. This position is classified as a Sage Senior level, with a salary range of $107,500 to $144,570. New hires typically receive an offer between the minimum and midpoint of the range, although higher offers may be considered based on experience and market conditions.
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 bias 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

• Scientific Research: Develop and lead innovative research initiatives using exploratory and hypothesis-driven data analysis on complex, high-dimensional datasets.
• Analysis and Modeling: Utilize advanced statistics, machine learning methods, and study design expertise to pose research questions and analyze and interpret data.
• Dissemination: Communicate research findings through publication of peer-reviewed research papers, maintain detailed records, present to funders and collaborators, and participate in research conferences and workshops.
• Coordination and Management: Work with data curation experts to help manage and coordinate scientific resources and data sharing among research consortia.
• Collaboration: Lead working groups to determine knowledge gaps and coordinate research goals across consortium members.
• Scientific Updates: Stay current with relevant scientific and technical developments.
• Methods Development: Create and document new methods, pipelines, and tools for data analysis, and adhere to standards of reproducible research.