Senior Biomedical Data Manager Full-time NEW

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 hiring Senior Biomedical Data Managers to support open science efforts across two critical initiatives at Sage Bionetworks: the Alzheimer’s Disease Translational Research (ADTR) group, which manages data coordination and curation for the AD Knowledge Portal—a leading FAIR-compliant multi-omic platform accelerating Alzheimer’s research—and the Rare Disease team, empowering community-driven efforts such as the Neurofibromatosis Open Science Initiative and related data initiatives that facilitate collaborative sharing of rare disease data.

As a member of one of these teams, you will coordinate and curate rich biomedical datasets alongside scientists and investigators, applying FAIR (Findable, Accessible, Interoperable, Reusable) data standards to enable broad sharing and reuse. You will engage with multidisciplinary stakeholders—including bioinformatics engineers, project managers, governance experts, and community coordinators—to promote team science and open collaboration. A key part of the role will involve contributing to the design and refinement of data models, annotations, and governance workflows that support discovery-driven science.

We’re looking for professionals who thrive interacting with researchers across diverse domains, have a strong passion for open science and data transparency, and appreciate the essential impact that meticulous curation, annotation, and modeling have on enhancing the usability and scientific value of shared biomedical data.

Job Summary:
As a Senior Biomedical Data Manager, you will independently lead complex data management efforts, overseeing data collection, maintenance, and sharing to ensure scientific data is accurate and complete.

Key Responsibilities:

• Data Standards and Plans: Lead the development of standards and plans for storing, describing, and sharing heterogeneous data, including clinical, genomic, and imaging datasets. Create and execute data management plans to deliver accurate, timely, and consistent scientific data for the AD or rare disease research communities.

• Collaboration and Coordination: Collaborate with project managers, scientists, research governance experts and bioinformatics engineers to coordinate data-sharing efforts. Work with scientific research and operations teams to ensure data and metadata are compliant with rigorous data modeling standards. Contribute to the technical development and improvement of program-agnostic tools for data tracking, curation, annotation, and metadata validation.

• Data Management and Maintenance: Curate data, draft technical documentation, and maintain project websites or data portals through which scientific resources are disseminated. Work cooperatively with research governance experts to implement legal and ethical frameworks for data sharing.

• Community and Support: Support a community of researchers by onboarding data contributors to tools and procedures for sharing data, and conducting data management office hours. Develop standard operating protocols and streamline workflows. Present data management strategies at scientific meetings and conferences.

• Data Validation and Harmonization: Compile, clean, and validate scientific data. Identify and resolve discrepancies and issues with scientific data.

We’d Love to Hear from You If You:

• Hold a bachelor’s degree in public health, genetics, neuroscience, health informatics, health information management, or other relevant areas.

• Have 5+ years of experience in biomedical data management or a related area.

• Have experience with biomedical data models and data management tools and techniques.

• Have expertise in R or Python and collaborative development and version control systems (e.g., git).

• Have enthusiasm for working on multidisciplinary teams.

• Maintain strong organizational and time-management skills.

• Have clear, effective, and inclusive verbal and written communication skills.

• Recognize the importance of applying critical thinking and thoughtful practices in your role and business approach, striving to ensure inclusivity, accessibility, and relevance for everyone, crafting solutions that cater to a diverse range of needs.

Preferred skills:

• Hold a Master’s or PhD in public health, library science, computational biology, neuroscience, genetics, health informatics & health information management, or other relevant area

• Experience managing complex multi-omic data types (including transcriptomics, whole genome sequences, proteomics, metabolomics, epigenetics, and clinical/phenotypic data)

• Experience with Jira for project tracking and cross-team communications

• Ability to create, refine and update data models for human and model systems

• Experience with metadata harmonization

• Experience presenting your work for a scientific audience.

• Familiarity with AWS or other cloud resources is highly desirable.

• Familiarity with neurodegenerative and/or rare diseases.

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 position, with a hiring salary range of $81,700 – $108,265. 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.

Tagged as: Data Science, Life Sciences