Sage Bionetworks

• Partners with scientists, engineers, and community collaborators to curate and coordinate multimodal biomedical datasets. • Guides researchers through data ingestion into data hubs. • Supports the development of data models and annotations for specialized biomedical data types. • Contributes to data governance and workflow design that enable discovery-driven science. • Applies metadata standards and contributes to improving data management plans across research projects. • Independently manages datasets and ensures appropriate metadata documentation and lifecycle management. • Identifies and resolves inconsistencies to validate datasets and metadata and ensure research readiness. • Applies tools and automation techniques, including AI to improve efficiency of data management tasks such as metadata extraction, validation, and documentation. • Coordinates with engineering, governance, and scientific teams to implement consistent data standards across projects. • Provides guidance on data-sharing tools, standards, and best practices for contributors.

• Implement cutting-edge applications using programming languages and tools to create functional and efficient software. • Cloud Computing: Our platform runs primarily in the AWS Cloud and uses a large variety of services. • Analyze user requirements to develop robust and efficient software solutions. • Work with product managers and designers in an Agile process with scrums, issue scoping, backlog prioritization, and code reviews. • Monitor the performance of the system and address issues that arise in production. • Provide comprehensive technical documentation to support users and developers. • Stay current regarding engineering productivity tools, include recent trends in AI/agent-based tools.

About Us Sage Bionetworks uses open science and collaboration to improve human health. We turn complex biomedical data into actionable insights through responsible sharing, strong governance, and innovative tools like AI. Our team values curiosity, diverse perspectives, and experimentation. The Opportunity This position will reside in the Advanced Data Analytics team in the Science and Data Division. In this role, you will apply your skills as a Senior Scientific Program Manager by coordinating multi-stakeholder efforts to build data infrastructure for new approach methodologies research —bringing together academic researchers, technology partners, governmental program offices, public and private partnerships to create sustainable, interoperable platforms that accelerate development of new approach methodologies for diverse disease domains. We are looking for someone who thrives at the intersection of data management, data analytics, and community engagement. Can you facilitate collaboration among computational biologists, data scientists, and governance experts while navigating the unique challenges of data from emerging technologies and model systems? Can you balance technical requirements with the urgent needs of fast moving and newly emerging research domains? If so, you could be our next Senior Scientific Program Manager. As a Senior Scientific Program Manager, you will drive program delivery for a multi-year, multi-institutional effort to build a comprehensive data platform for new approach methodologies. This platform will integrate heterogeneous data—from in-vitro and in-silico models and generate AI-ready data for foundation model development. You will manage complex projects spanning data ingestion, harmonization, benchmarking, and discovery tools while ensuring alignment with program needs. You will work with senior stakeholders to orchestrate collaboration among technology developers, wet lab researchers, computational researchers, and ontology experts. In this role, you can also expect to interface with personnel across similar programs in our Cancer Biology, Rare Disease, and Alzheimer's Diseases portfolios, among other research domains. You would bring your expertise in coordinating large-scale biomedical data initiatives, managing diverse stakeholder relationships across public, private and governmental organizations, implementing project governance frameworks and translating between technical teams and academic research teams in multiple disease domains. Key Responsibilities - Scientific Program Execution: Take full ownership of project delivery from initiation through completion, ensuring outcomes align with program requirements and success metric, in addition to organizational strategy and impact goals. - Strategic Programmatic Planning: Translate strategic objectives into actionable project plans, milestones, and success metrics, leveraging project management tools and AI as needed - Partnership Management: Build and maintain strong relationships, facilitate high-stakes multi-institutional collaboration and resolve complex alignment issues. - Program Team Leadership: Lead cross-functional teams and facilitate collaboration among research, technical, and operations staff to achieve project milestones. - Risk and Issue Management: Anticipate risks, interdependencies, and resource challenges; develop and deploy decision-making, issue, escalation and risk mitigation strategies to maintain project momentum. - Budget and Resource Management: Develop and manage project budgets, forecasts, and resource plans. - Operational Efficiency and Innovation: Advances operational efficiency by evaluating, implementing, and scaling best practices, technologies, and AI-enabled approaches that optimize end-to-end processes and strengthen operational reliability. - Leadership Alignment: Partner with scientific program leadership to define priorities, drive decisions, and adjust project plans in response to evolving needs. - Scientific and Technical literacy: Uses deep scientific and technical context to guide program design and trade-offs. - Communication and Collaboration: Create transparent communication channels across teams, leading regular meetings, updates, and reports for internal and external audiences. - Mentorship: Provide guidance and mentorship to junior team members Qualifications Education - Bachelor’s or advanced degree in biomedical research or health informatics Experience - Have 5+ years of experience in scientific program management, biomedical research coordination, or health data infrastructure projects - Have experience leading highly collaborative, multi-stakeholder projects, ideally in research, life sciences, or data-focused organizations, with demonstrated ability to independently manage large-scale, high impact projects - Have expertise in agile, hybrid, or matrixed project management environments and tools. - Have experience in resource management (i.e. budgeting, forecasting, team member training and onboarding) Skills - Thrive in collaborative environments and enjoy contributing to team success - Have exceptional communication and facilitation skills, with the ability to influence across teams and technical levels. - Adaptability to work across multiple disease areas and project contexts - Have proven success in stakeholder management, risk mitigation, and process improvement. - Have experience and accountability reporting for complex initiatives. - Have experience assessing the use and application of AI tools to support the design, execution and management of programs Nice to Have - 7+ years of experience in scientific program management, biomedical research coordination, or health data infrastructure projects - Familiarity with rare disease communities - Familiarity with clinical data types - Familiarity with data governance frameworks for sensitive health data - Knowledge of data platforms, data commons, biomedical technology infrastructure - Familiarity with healthcare interoperability standards and biomedical ontologies How You Work - Collaborative and team-oriented - Process-driven with a focus on continuous improvement - Comfortable working across scientific and technical disciplines - Proactive, adaptable, and detail-oriented 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 Functions - Travel 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. Compensation & Total Rewards Sage Bionetworks implements equitable workplace strategies to ensure fair pay. Actual compensation is determined by market data, specific experience, and internal parity. - Job Level: Senior - Annual Salary Range:$107,500 - $141,200 - Note: New hires typically receive an offer between the minimum and the midpoint of the range to allow for future growth within the role. Higher offers may be considered for exceptional experience or specific market conditions. - Comprehensive Benefits: We offer a package competitive with both commercial biotech and nonprofit sectors: - Health & Wellness: Comprehensive medical, dental, vision, life, AD&D, and long-term disability. - Future Security: Robust retirement plan and flexible spending accounts (FSA). - Work-Life Harmony: Paid time off and flexible work arrangements. - Learn more at: Benefits – Sage Bionetworks Equal Opportunity & Inclusion Sage Bionetworks is an Equal Opportunity Employer. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Accommodation Request: If you require a reasonable accommodation during the application or interview process, please contact HR during the scheduling process. Modern Hiring & Responsible AI We value your talent and your time. To ensure a fair and inclusive experience, we operate with the following principles: - Responsible AI in Recruiting: To help us find the best talent, we may utilize AI tools within our recruiting platforms. We use these technologies responsibly to avoid the pitfalls of bias and discrimination. We believe technology should enhance human judgment, not replace it, and we regularly audit our processes to ensure every candidate is evaluated fairly based on their unique skills. - Work from (Almost) Anywhere: We are a distributed workforce and support remote or hybrid arrangements within the United States. - Virtual-First Interviews: All interviews are conducted virtually to ensure accessibility and flexibility for all candidates. About Sage Bionetworks: Science for the Common Good At Sage Bionetworks, we believe the greatest barriers to medical progress aren't just biological—they are structural. Since 2009, our Seattle-founded nonprofit has been on a mission to tear down the "silos" of traditional science. We don’t just conduct research; we redefine how it’s done through open science, radical collaboration, and ethical data sharing. When you join Sage, you aren't just taking a job; you’re joining a bold collective of scientists, engineers, governance experts, and visionaries. We empower patients to be partners, not just data points, and we provide the platforms that allow the global scientific community to accelerate life-saving discoveries. The Sage Way: Our Core Values We don’t just talk about change; we live it through these five pillars: - Science Driven: We use data and evidence to ensure our work creates a measurable, positive impact on human health. - Accountable: We deliver on our promises through a foundation of trust and radical transparency. - Growth Oriented: We stay curious, seek out the hardest challenges, and constantly aspire to improve ourselves and our field. - Empathetic + Inclusive: We embrace our differences and build environments where every voice is empowered. - Radically Collaborative: We believe the best solutions come from teamwork and building diverse, global communities.

• Contribute to the implementation of cutting-edge applications using programming languages and tools to create functional and efficient software. • Analyze user requirements to develop robust and efficient software solutions. • Participate in monitoring the performance of the system and addressing issues that arise in production. • Provide comprehensive technical documentation to support users and developers. • Stay current regarding engineering productivity tools, include recent trends in AI/agent-based tools.

• Partners with scientists, engineers, and community collaborators to curate and coordinate multimodal biomedical datasets. • Guide researchers through data ingestion into data hubs. • Support the development of data models and annotations for specialized biomedical data types. • Contribute to data governance and workflow design that enable discovery-driven science. • Apply metadata standards and contribute to improving data management plans across research projects. • Independently manage datasets and ensures appropriate metadata documentation and lifecycle management. • Identify and resolve inconsistencies to validate datasets and metadata and ensure research readiness. • Apply tools and automation techniques, including AI to improve efficiency of data management tasks such as metadata extraction, validation, and documentation. • Coordinate with engineering, governance, and scientific teams to implement consistent data standards across projects. • Provide guidance on data-sharing tools, standards, and best practices for contributors.

• Leads execution of complex programs with multiple projects, aligning execution to program objectives. • Facilitates high-stakes multi-institutional collaboration and resolves complex alignment issues. • Designs program-level planning and reporting frameworks across multiple projects. • Anticipates and mitigates cross-project and partner risks through structured reviews. • Uses deep scientific and technical context to guide program design and trade-offs. • Evaluates and scales best practices and emerging methods, including AI-enabled approaches.

• As a Senior Data & Community Governance Analyst at Sage, you’ll be a key driver of multiple Privacy and Compliance Office projects and initiatives. • You will design data governance approaches for research communities to share biomedical data ethically, compliantly, and responsibly. • Lead the development of policies, processes, and structures that guide and oversee activities such as research design, data collection, analysis, and dissemination. • Collaborate with researchers, consortia, and funders, to ensure the ethical, responsible, and accountable conduct of research and data sharing, while protecting the rights and welfare of research participants. • Lead initiatives that enable responsible data sharing by evaluating data sensitivity, and designing and applying governance approaches, such as data access control models. • Ensure adherence to ethical, legal, and institutional requirements. Contribute to incident investigations and the implementation of corrective actions/preventative action (CAPA) plans. • Design and oversee the implementation of governance frameworks and data privacy guidelines, ensuring they remain resilient against evolving global regulations and emerging ethical challenges.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior Scientific Program Manager at Sage, you’ll be a key member of the Alzheimer’s Disease Translational Research Team. Our team serves as the administrative and data coordination center for several large, multidisciplinary Alzheimer’s disease research projects funded by the National Institute on Aging. You will apply your skill as a Senior Scientific Program Manager by enabling fluid collaboration across a multi-institution Center aimed at developing new medicines for Alzheimer’s disease, engaging in data coordination and open dissemination through public-facing websites and data portals, and in outreach to the broader research community for uptake of resources. What you’ll do: - Scientific Program Execution: Leads execution of complex programs with multiple projects, aligning execution to program objectives. - Collaboration, Communication & Stakeholder Engagement: Facilitates high-stakes multi-institutional collaboration and resolves complex alignment issues. - Project Planning, Documentation & Reporting: Designs program-level planning and reporting frameworks across multiple projects. - Risk, Issue, and Dependency Management: Anticipates and mitigates cross-project and partner risks through structured reviews. - Scientific and Technical Literacy: Uses deep scientific and technical context to guide program design and trade-offs. - Program Management Excellence & Innovation: Evaluates and scales best practices and emerging methods, including AI-enabled approaches. How you’ll do it: - Establish and lead program management processes to ensure seamless collaboration across Center Cores at multiple academic institutions to meet project milestones. - Create, maintain, and disseminate project deliverables and timelines to monitor across Project Teams that will ensure timely and effective completion of their work. - Develop and manage a monitoring system so that the administrative team can perform effective strategic oversight and decision-making regarding resource allocation, identification of strategic partners, and project trajectories across the Center’s Cores and Project Teams. - Lead reporting activities for Center, including tracking progress toward annual milestones and writing progress reports. - Lead within- and cross-team meetings, including scheduling, setting agendas, taking minutes, defining action items. - Support external communications efforts for the Center with the development of materials and identification of communication opportunities. - Facilitate open data sharing by the Center by developing framework and process for data sharing and tracking regular data contribution from Cores. - Act as liaison between data contributors and internal data engineering staff to define requirements for data hosting and curation. - Identify opportunities to seek supplemental funding to meet project goals. - Assist with grant and other technical writing. - Help with planning and logistics of workshops, symposiums, and educational outreach activities. Qualifications - Bachelor’s or advanced degree in Neuroscience, Molecular Biology, or related field. - 5+ years of experience in scientific program management, biomedical research coordination, or drug development projects. - Experience leading highly collaborative, multi-stakeholder projects, ideally in research, life sciences, biotechnology, with demonstrated ability to independently manage large-scale, high impact projects. - Proven success in stakeholder management, risk mitigation, and process improvement. - Exceptional communication and facilitation skills, with the ability to influence across teams and technical levels. - Experience developing and tracking project success metrics. - Demonstrated ability to work independently, proactively and with agility in a complex, matrixed environment, building internal and external alignment. Skill Baseline - Excellent written and verbal communication skills, including technical content, for diverse audiences. - Proficiency in project management tools (Smartsheet, Jira, Google Workspace, MS Office Suite), and dashboard/reporting tools. - Demonstrated organizational skills and attention to detail. - Familiarity with drug development pipelines. - Familiarity with NIH reporting requirements. - Experience with alliance management, outreach, establishing partnerships. Job Functions and Physical Requirements - 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 Functions - Travel 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. Compensation & Total Rewards - Job Level: Senior - Annual Salary Range: $107,500 - $141,200 - Comprehensive Benefits: - Health & Wellness: Comprehensive medical, dental, vision, life, AD&D, and long-term disability. - Future Security: Robust retirement plan and flexible spending accounts (FSA). - Work-Life Harmony: Paid time off and flexible work arrangements. Equal Opportunity & Inclusion Sage Bionetworks is an Equal Opportunity Employer. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Modern Hiring & Responsible AI We value your talent and your time. To ensure a fair and inclusive experience, we operate with the following principles: - Responsible AI in Recruiting: To help us find the best talent, we may utilize AI tools within our recruiting platforms. - Work from (Almost) Anywhere: We are a distributed workforce and support remote or hybrid arrangements within the United States. - Virtual-First Interviews: All interviews are conducted virtually to ensure accessibility and flexibility for all candidates.

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 Biomedical Data Managers to support open science efforts across two critical initiatives at Sage Bionetworks: 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—and the Advanced Data Analytics team, which applies a variety of computational approaches to accelerate re-use of shared biomedical data for various disease domains. As a biomedical data manager, you will coordinate and curate multimodal biomedical datasets alongside scientists and investigators, applying the FAIR (Findable, Accessible, Interoperable, Reusable) principles to enable broad sharing and reuse. The role will involve working with external researchers (biologists and clinician scientists) to guide data ingestion into data hubs, contributing to data model development, determining appropriate annotations for specialized biomedical data types and applying them, and providing input on data governance workflows that support discovery-driven science. You will also engage internally with a variety of roles—including bioinformatics engineers, project managers, governance experts, and community coordinators—to promote team science and open collaboration. We’re looking for motivated professionals who enjoy interacting with researchers across diverse domains, have a passion for open science and data transparency, and appreciate the essential impact that careful curation, annotation, and modeling have on the usability and scientific value of shared biomedical data. Job Summary: As a Professional Biomedical Data Manager, you will leverage your skill set to manage and coordinate data management efforts with some latitude for independent judgment. You will support data collection, maintenance, and sharing efforts, ensuring the accuracy and completeness of scientific data. Key Responsibilities: - Data Standards and Plans: Develop standards, plans, and tools for storing, describing, and sharing heterogeneous data, including clinical, genomic, and imaging datasets. Create data management plans to deliver accurate, timely, and consistent scientific data for the rare disease and advanced data analytics 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 data modeling standards - Data Management and Maintenance: Build, review, and maintain scientific databases, data collection tools, and applications. Facilitate data sharing by developing tools, writing documentation, curating data, and maintaining project websites or data portals through which scientific resources are disseminated. Work 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. - Data Analysis and Reporting: Compile, analyze, clean, and validate scientific data. Identify and resolve discrepancies and issues with scientific data. Develop data management reports and monitor study status to ensure timelines are met. We’d Love to Hear from You If You: - Hold a bachelor’s degree in public health, library science, genetics, neuroscience, health informatics, health information management, or other relevant areas. - Have 2+ years of experience in biomedical data management or a related area. - Are proficient in data management tools and techniques. - Have experience with biomedical data models and data management tools. - Have experience 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. - Experience managing complex multi-omic data types (including transcriptomics, whole genome sequences, proteomics, metabolomics, epigenetics, and clinical/phenotypic data). 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 with Jira for project tracking and cross-team communications. - Ability to create, refine and update ontology data models for human and model systems (xenografts, organoids, cell systems etc). - Have familiarity with R or Python and collaborative development and version control systems (e.g., git). - Curiosity towards, and critical assessment of AI tools to support all aspects of a technical role at Sage, from co-pilots for software development, to aids to data analysis and interpretation - Experience with metadata harmonization. - Experience presenting your work for a scientific audience. - Familiarity with AWS or other cloud resources is highly desirable. - Familiarity with ontology databases and management. - Familiarity with multiple disease domains like rare disease, neurodegenerative disease, cancer, immunology. 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. Compensation & Total Rewards Sage Bionetworks implements equitable workplace strategies to ensure fair pay. Actual compensation is determined by market data, specific experience, and internal parity. - Job Level: Professional - Annual Salary Range: $93,300 - $121,700 - Note: New hires typically receive an offer between the minimum and the midpoint of the range to allow for future growth within the role. Higher offers may be considered for exceptional experience or specific market conditions. Comprehensive Benefits: We offer a package competitive with both commercial biotech and nonprofit sectors: - Health & Wellness: Comprehensive medical, dental, vision, life, AD&D, and long-term disability. - Future Security: Robust retirement plan and flexible spending accounts (FSA). - Work-Life Harmony: Paid time off and flexible work arrangements. - Learn more at: Benefits – Sage Bionetworks Equal Opportunity & Inclusion Sage Bionetworks is an Equal Opportunity Employer. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Accommodation Request: If you require a reasonable accommodation during the application or interview process, please contact hr@sagebase.org. Modern Hiring & Responsible AI We value your talent and your time. To ensure a fair and inclusive experience, we operate with the following principles: - Responsible AI in Recruiting: To help us find the best talent, we may utilize AI tools within our recruiting platforms. We use these technologies responsibly to avoid the pitfalls of bias and discrimination. We believe technology should enhance human judgment, not replace it, and we regularly audit our processes to ensure every candidate is evaluated fairly based on their unique skills. - Work from (Almost) Anywhere: We are a distributed workforce and support remote or hybrid arrangements within the United States. - Virtual-First Interviews: All interviews are conducted virtually to ensure accessibility and flexibility for all candidates. About Sage Bionetworks: Science for the Common Good At Sage Bionetworks, we believe the greatest barriers to medical progress aren't just biological—they are structural. Since 2009, our Seattle-founded nonprofit has been on a mission to tear down the "silos" of traditional science. We don’t just conduct research; we redefine how it’s done through open science, radical collaboration, and ethical data sharing. When you join Sage, you aren't just taking a job; you’re joining a bold collective of scientists, engineers, governance experts, and visionaries. We empower patients to be partners, not just data points, and we provide the platforms that allow the global scientific community to accelerate life-saving discoveries. The Sage Way: Our Core Values We don’t just talk about change; we live it through these five pillars: - Science Driven: We use data and evidence to ensure our work creates a measurable, positive impact on human health. - Accountable: We deliver on our promises through a foundation of trust and radical transparency. - Growth Oriented: We stay curious, seek out the hardest challenges, and constantly aspire to improve ourselves and our field. - Empathetic + Inclusive: We embrace our differences and build environments where every voice is empowered. - Radically Collaborative: We believe the best solutions come from teamwork and building diverse, global communities.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior Data & Community Governance Analyst at Sage, you’ll be a key driver of multiple Privacy and Compliance Office projects and initiatives. You will design data governance approaches for research communities to share biomedical data ethically, compliantly, and responsibly. - Lead the development of policies, processes, and structures that guide and oversee activities such as research design, data collection, analysis, and dissemination. - Collaborate with researchers, consortia, and funders to ensure the ethical, responsible, and accountable conduct of research and data sharing. - Lead initiatives that enable responsible data sharing by evaluating data sensitivity and designing governance approaches. - Ensure adherence to ethical, legal, and institutional requirements and contribute to incident investigations. - Lead research, community, and data governance initiatives addressing the responsible application of AI and other developing technologies. - Lead the development and implementation of standards for data sharing and governance education. - Drive collaboration with internal and external partners to develop and negotiate data-sharing terms. - Proactively identify gaps across research, community, and data governance domains. - Lead and champion comprehensive privacy and compliance training programs. Qualifications - Bachelor’s degree in a relevant field - 7+ years of professional experience working with data within a biomedical human research setting - Demonstrated knowledge and experience with the laws, regulations, and best practices related to working with human research data - Experience developing and/or improving Standard Operating Procedures (SOPs) - Experience preparing materials and submitting to Institutional Review Boards (IRBs) - Knowledge of incident investigation processes, root cause analysis, and Corrective Action/Preventive Action (CAPA) plans - Demonstrated organizational skills and attention to detail - Experience with documentation/task management tools (e.g., Google Suite, MS Suite, Confluence, Jira) Requirements - Demonstrated written and verbal communication skills across various audiences and mediums - Familiarity with legal language and data sharing agreement review - Understand F.A.I.R. data sharing and ethical research principles - Strong digital literacy skills and willingness to learn new software - Able to navigate ambiguity as project and business needs grow and change - Can sustain focus and concentration for extended periods while completing computer-based and reading-intensive tasks Benefits - Comprehensive medical, dental, vision, life, AD&D, and long-term disability - Robust retirement plan and flexible spending accounts (FSA) - Paid time off and flexible work arrangements Compensation & Total Rewards - Job Level: Senior - Annual Salary Range: $93,300 - 121,700 - New hires typically receive an offer between the minimum and the midpoint of the range