• Apply data science, advanced analytics, and AI techniques to large, complex operational datasets to identify performance degradation, systemic issues, and improvement opportunities • Design and implement code-first analytical solutions and models that support automated or semi-automated discovery of performance improvement opportunities • Use AI and data-driven methods to evaluate, prioritize, and improve the effectiveness of Plans of Action and Milestones (POAMs) tied to contractual outcomes • Collaborate closely with performance analysts, engineers, and stakeholders to translate operational challenges into data-driven solutions • Apply appropriate AI and machine learning techniques, balancing innovation with explainability, defensibility, and stakeholder trust • Develop reusable analytical code, methods, and patterns that strengthen the team’s overall data science and AI capabilities • Communicate insights clearly to both technical and non-technical audiences, including program leadership • Support broader Navy performance initiatives by extending analytical methods beyond SLR-focused use cases when appropriate

Role Description Pratham International, through its wholly-owned subsidiary in India (PULS Pvt. Ltd.), is looking to hire a Data Scientist to join our Research & Analytics team, focused on using data-driven insights to inform programmatic decisions and tackle complex social challenges. Candidates should have strong foundations in statistics, data science, and Python programming and a passion for applying these skills to education and development contexts. This role involves designing and executing rigorous analyses, working across teams to translate needs into tractable data problems, and communicating findings in clear, actionable ways to diverse stakeholders. As a Data Scientist, you will: - Manage project-level data operations to ensure timely and accurate reporting. - Undertake regular analyses to inform program design, monitoring, and decision-making. - Apply statistical and machine learning methods to identify patterns, trends and predictors of educational outcomes. - Design and evaluate predictive models, with attention to fairness, interpretability and program relevance. - Lead data wrangling and cleaning, including SQL queries, API calls, survey datasets. - Ensure data quality, integrity, and documentation for reproducibility. - Build dashboards, reports, and visualizations (Excel, PowerBI, Tableau, or Python-based tools). - Translate technical findings into clear, accessible insights for program, content, and management teams. - Partner with AI/ML team where advanced modeling or deployment is required. Qualifications - Bachelor’s or higher degree in Data Science, Computer Science, Statistics, Research Methodologies or a related field. - Proficiency in Python with strong command of standard data science packages (numpy, pandas, scikit-learn, matplotlib, etc.). - Strong foundations in statistics and probability. - Ability to implement supervised and unsupervised ML methods, and key components of the data pipeline (cleaning, feature selection, cross-validation, parameter tuning). - Working knowledge of SQL. Requirements - Experience working on Data Science projects using machine learning and deep learning. - Orientation towards research. Benefits - Impact at a Global Scale: Your work will directly support the learning journeys of millions of children. - Unique Technical Challenges: Solve "last-mile" problems rarely addressed in the commercial sector. - A Culture of Growth and Evidence: Value rigorous testing and continuous learning. - High-Calibre, Mission-Driven Team: Work alongside a global team of experts from prestigious institutions. - Inclusive and Collaborative Environment: Join a diverse team that values innovative thinking and local expertise. Employment Details - Contract Type: Full-Time Employment - Date of Joining: Immediate; applications reviewed on a rolling basis. - Work from Anywhere in India: Flexible, remote-first work environment with opportunities to travel to field locations. - Competitive Remuneration: Salary benchmarked against industry standards for AI/ML roles, commensurate with experience.

• Lead an elite team of data scientists • Define and direct the research frameworks and model architectures for clinical risk identification and value attribution • Architect a multi-year roadmap for research into clinical performance • Act as a primary consultant for a majority of the management team • Translate complex technical study designs into clear narratives for the management team • Grow and empower a team of data scientists • Drive the enhancement of Pearl’s predictive product capabilities

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.