Associate Director, Biomedical Data Management

At Sage Bionetworks, we believe that we can learn more by engaging and collaborating with people from a diversity of experiences, backgrounds and identities. We develop and apply open practices to data-driven research for the advancement of human health. We are working to establish actionable biomedical observations through the reliable analysis and responsible sharing of representative data. By improving the way scientists collaborate and by increasing the reliability of research, we will improve human health.

We are looking for an Associate Director, Biomedical Management on Sage’s Alzheimer’s disease (AD) translational research team. Our team serves as the data coordination center and bioinformatics core for several large, multidisciplinary Alzheimer’s disease and aging-related research projects funded by the National Institute on Aging (NIA). Through this work, we facilitate new discoveries in the field of AD by fostering scientific collaborations and developing and sharing data, hypotheses, analysis results, and technologies. As an Associate Director, Biomedical Management, you will oversee a team of data curators and data managers who oversee data coordination and data sharing. The successful candidate will contribute to the collection, harmonization, and curation of clinical and omics data across multiple NIA-funded initiatives. The ideal candidate will be enthusiastic about the application of technology to enable open, collaborative, and reproducible biomedical research.

Key job responsibilities:

  • Providing scientific leadership to develop standards and protocols for storing, describing, and sharing heterogeneous data (including clinical, genomic, and imaging datasets) and tools
  • Leading a team of data managers and data curators to coordinate and manage resource and data sharing efforts for Alzheimer’s disease and aging-related research consortia
  • Facilitating data sharing across collaborating biomedical research labs by developing tools, writing documentation, curating data, and maintaining project web sites and/or data portals
  • Developing use cases and requirements to inform the selection of data models and workflows for a variety of biomedical data types
  • Interacting with collaborators to identify data management needs and respond to requests for data and programmatic support

Basic skills/qualifications:

  • A Master’s degree or PhD in Library Science, Computer Science, Bioinformatics, Statistics, Computer Engineering, or related field. Relevant professional experience can be substituted for educational requirements.
  • 5+ years experience establishing data models and ontologies.
  • 2+ years functioning as a manager or team lead and teaching data management skills to others
  • Proficiency in R or Python.
  • Experience working with life science data (e.g. genomics, imaging, medical data) repositories is preferred.
  • Familiarity with Linux shell scripting is preferred.
  • Experience with collaborative development and version control systems (e.g. git) is preferred

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job and those that may be required occasionally. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Prolonged periods sitting at a desk and working on a computer.
  • Routinely required to sit; walk; talk and hear; use hands to keyboard, finger, handle, and feel; may stoop, kneel, crouch, twist, crawl, reach, and stretch.
  • May require travel dependent on company needs.
  • Can work under deadlines.
  • Must be able to lift up to 20 pounds at times.

About Sage Bionetworks 

Sage Bionetworks is a nonprofit biomedical research and technology development organization that was founded in Seattle in 2009. Our focus is to develop and apply open practices to data-driven research for the advancement of human health. Data-driven research has become an important component of biomedicine, but it’s not always easy to understand how to apply computational approaches appropriately or how to interpret their results. Sage believes open practices can help. Our interdisciplinary team of scientists and engineers work together to provide researchers access to technology tools and scientific approaches to share data, benchmark methods, and explore collective insights, all backed by Sage’s gold-standard governance protocols and commitment to user-centered design. Sage is supported through a portfolio of competitive research grants, commercial partnerships, and philanthropic contributions.

At Sage, 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.

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, Accidental Death and Dismemberment 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 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 Management level position, with a compensation range of $111,262 to $146,032.

Senior Scientific Program Manager

At Sage Bionetworks, we believe that we can learn more by engaging and collaborating with people from a diversity of experiences, backgrounds and identities. We develop and apply open practices to data-driven research for the advancement of human health. We are working to establish actionable biomedical observations through the reliable analysis and responsible sharing of representative data. By improving the way scientists collaborate and by increasing the reliability of research, we will improve human health.

We are looking for a Senior Scientific Program Manager to support Sage’s Alzheimer’s disease (AD) translational research team. Our team serves as the data coordination center and bioinformatics core for several large, multidisciplinary Alzheimer’s disease research projects funded by the National Institute on Aging (NIA). Through this work, we facilitate new discoveries in the field of AD by fostering scientific collaborations and developing and sharing data, hypotheses, analysis results, and technologies. As Senior Scientific Program Manager, you will partner with team leads to implement the scientific strategy that guides our work in Alzheimer’s disease. You will coordinate projects and activities spanning data coordination and harmonization, cross-team analysis and primary research, and open dissemination through public-facing websites and data portals. You will bring your expertise in scientific or technical program management and a passion for open science and collaboration.

Key job responsibilities:

  • Drive strategy, align teams, and deliver on multiple interconnected operations projects.
  • Define and oversee a list of dependent projects needed to reach the program’s
  • overall goals.
  • Work with leadership to effectively prioritize work across multiple projects.
  • Enlist teams, implement strategies, and measure metrics of success.
  • Act as liaison between various departments, facilitating cross-team collaboration and understanding.
  • Oversee budget tracking and assist with development of staffing plans.
  • Organize and track projects, proactively manage risks, manage project escalations, prioritize
  • tasks, and meet specific business objectives.
  • Establish processes and systems to ensure project goals and milestones are achieved.
  • Oversee programmatic reporting activities, including regular updates for funders, annual progress reports and funding plans.
  • Write scientific and technical content.

Basic skills/qualifications:

  • Passion for open science and collaboration.
  • A master’s degree or PhD in biology, bioinformatics, biomedicine, or similar field. Relevant professional experience can be substituted for educational requirements.
  • At least 5 years of scientific project or program management experience.
  • Experience developing metrics to track project success.
  • Effective and efficient communication skills for diverse audiences, including subject matter experts and leadership.
  • Ability to write clear, detailed technical content.
  • Experience using project management tools to support activities (examples may include Jira, GitHub, Smartsheet, or other systems).
  • Experience working with sensitive and regulated data, especially human health data, preferred.
  • Familiarity with agile project management practices preferred.
  • Familiarity with NIH reporting requirements preferred.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Prolonged periods sitting at a desk and working on a computer.
  • Routinely required to sit; walk; talk and hear; use hands to keyboard, finger, handle, and feel; may stoop, kneel, crouch, twist, crawl, reach, and stretch.
  • May require travel dependent on company needs.
  • Can work under deadlines.
  • Must be able to lift up to 20 pounds at times.

About Sage Bionetworks 

Sage Bionetworks is a nonprofit biomedical research and technology development organization that was founded in Seattle in 2009. Our focus is to develop and apply open practices to data-driven research for the advancement of human health. Data-driven research has become an important component of biomedicine, but it’s not always easy to understand how to apply computational approaches appropriately or how to interpret their results. Sage believes open practices can help. Our interdisciplinary team of scientists and engineers work together to provide researchers access to technology tools and scientific approaches to share data, benchmark methods, and explore collective insights, all backed by Sage’s gold-standard governance protocols and commitment to user-centered design. Sage is supported through a portfolio of competitive research grants, commercial partnerships, and philanthropic contributions.

At Sage, 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.

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, Accidental Death and Dismemberment 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, 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 Senior level position, with a current market range of $94,778 to $126,767.

Senior Research Scientist

At Sage Bionetworks, we believe that we can learn more by learning from each other. We develop and apply open practices to data-driven research for the advancement of human health. We are working to establish actionable biomedical observations through the reliable analysis and responsible sharing of representative data. By improving the way scientists collaborate and by increasing the reliability of research, we will improve human health.

Alzheimer’s Disease Translational Research

We are looking for a Research Scientist to support the newly-established Exceptional Longevity Data Coordination and Management Center (DMCC). The EL-DMCC supports several National Institute on Aging-funded programs aimed at uncovering the biological underpinnings of exceptional long-life and resilience to age-related diseases, including Alzheimer’s disease. The Research Scientist will contribute to computational biology research projects within this network. You will oversee, plan, and perform collaborative research in support of cross-team efforts as well as perform and publish independent research. Initial research areas will include: 1) applying novel computational and systems biology approaches to multi-omic human and model system data, 2) developing methods to harmonize clinical and omics data from multiple sources, and 3) jointly analyzing data from AD resilience and exceptional longevity cohorts. Enthusiasm for the application of computational biology and technology to enable open, collaborative, and reproducible biomedical research is essential.

What you’ll be doing:

  • Performing research from inception to publication on genetic and genomic contributions to exceptional longevity in humans and other animal systems.
  • Crafting and developing algorithms for interrogating and interpreting complex genomic data.
  • Coordinating collaborative research across multi-investigator working groups.
  • Establishing and implementing methods for harmonizing clinical and omics data required for cross-project analyses.
  • Writing technical documentation for a scientific audience, authoring scientific papers for peer reviewed journals, and presenting work at scientific conferences.
  • Training and mentoring scientists and research associates.

We’d love to hear from you if: 

  • Have a Ph.D. in Computational Biology, Bioinformatics, Neuroscience, Computer Science, or related discipline; or another scientific degree with commensurate experience.
  • Have experience working with high dimensional genomic data, such as sequencing data, gene expression, genotype, CNV and/or data from other high-throughput biological technologies.
  • Demonstrate excellence in research with evidence of advancing an area of computational or systems biology.
  • Are proficient in R or Python.
  • Have experience with data harmonization or meta-analysis.
  • Have experience with advanced statistical techniques or machine learning methods, such as linear mixed-effects models, dimensionality reduction, Bayesian inference, and optimization methods.
  • Have excellent written and verbal communication skills.
  • Have strong collaboration and teamwork skills.
  • Are passionate about open science, reproducible research, and collaboration.
  • Experience with collaborative coding (e.g. github) and reproducible research practices is preferred.
  • Evidence of project leadership within large team science projects or research consortia is preferred.
  • Experience with large scale human omics and clinical data is preferred.

About Sage Bionetworks 

Sage Bionetworks is a nonprofit biomedical research and technology development organization that was founded in Seattle in 2009. Our focus is to develop and apply open practices to data-driven research for the advancement of human health. Data-driven research has become an important component of biomedicine, but it’s not always easy to understand how to apply computational approaches appropriately or how to interpret their results. Sage believes open practices can help. Our interdisciplinary team of scientists and engineers work together to provide researchers access to technology tools and scientific approaches to share data, benchmark methods, and explore collective insights, all backed by Sage’s gold-standard governance protocols and commitment to user-centered design. Sage is supported through a portfolio of competitive research grants, commercial partnerships, and philanthropic contributions.

At Sage, 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.

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, Accidental Death and Dismemberment 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

This is a senior level position, with a compensation range of $103,020 – $137,790. Actual compensation is dependent upon experience.