• Analyze real-world data to identify patterns for various clinical and business cases, including treatment patterns and management costs. • Participate in Identifying key clinical events, such as cancer progression and treatments, using CPT, NDC, ICD codes, and structured database free text. • Conduct statistical analysis and survival modeling for clinical events defined from real-world data. • Ability to visualize findings from the data and summarize them in a coherent story. • Support data scientists in developing digital pathology AI models • Partner closely with bioinformaticians, statisticians, and medical experts in manuscripts.

• Analyze end-to-end ACH payment decisioning performance, including ML risk scores and risk rules, across approvals and losses. • Detect and analyze emerging trends in customer behavior, payment outcomes, and risk signals. • Evaluate how changes in strategies, data, or rules impact downstream decisioning and outcomes over time. • Independently define analytical questions, assemble datasets from multiple sources, and iterate toward insights without predefined reporting templates. • Use Python to perform exploratory data analysis, feature evaluation, cohort analysis, and experimentation across large ACH and risk datasets. • Develop repeatable analytical workflows and lightweight tooling in Python to accelerate insight generation and reduce manual analysis overhead. • Perform ad hoc analyses to evaluate the value and usefulness of new or existing data signals for risk decisioning. • Design analyses and reporting that support ongoing risk reviews, strategy discussions, and portfolio-level monitoring. • Explore and apply established and emerging analysis techniques to accelerate insight generation, trend detection, and decision support within regulated risk and payment datasets. • Partner with Risk, Product, and Relationship Management teams to inform strategy refinement and prioritization. • Communicate trends, findings, and recommendations clearly to internal stakeholders and, when applicable, external clients. • Work with large, imperfect, and regulated datasets to form actionable conclusions despite data gaps, latency, or attribution challenges.

Role Description This is an independent contractor opportunity. The role will start as a 3-month contract, with opportunities for extension based on mutual alignment. The Human Frontier Collective (HFC) brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You’ll Do - Senior Advisory & Model Governance: Provide elite-level consultancy on model behavior and domain-specific logic, establishing the benchmarks for professional integrity. - High-Impact Research Collaboration: Influence the technical roadmap by partnering with Scale AI's research, delivery, and GTM teams to design sophisticated, small-scale tasks that translate expert-level intuition into rigorous, computable frameworks for frontier model evaluation. - Executive Client Engagement: Represent the Human Frontier Collective as a Subject Matter Expert during pivotal sales cycles, executive meetings, and conferences. - Visionary Creation: Contribute to the creation of premier technical content and strategic GTM assets that ultimately helps position Scale as the definitive leader in the industry. - Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers, boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark). - HFC Community: Become a foundational member of the Human Frontier Collective; a supportive, interdisciplinary network of innovators. Gain exclusive access to a community of industry leaders and AI researchers dedicated to advancing the frontier of data. Qualifications - 5+ years of relevant industry experience with strong, top-tier domain knowledge. - Proven track record of operating at the top of their field and applying deep expertise in high-impact, real-world environments across finance, legal, medical, or related fields. - Ideal background includes but is not limited to: - Finance Domain: IB/PE/VC C-Suite, VPs, or Directors from Bulge Bracket or Elite Boutiques (e.g., Goldman Sachs, Blackstone), Senior Managers, Senior Associates, or Senior Analysts from top-tier firms. - Legal Domain: Partners or Senior Counsel at V100 firms; former SCOTUS/Federal Clerks, and Senior Associates from Big Law with active bar membership. - Medical Domain: Board-certified MDs from premier academic hospitals (e.g., Mayo Clinic, Cleveland Clinic). Practicing physicians with at least 5 years of post-residency experience from premier hospitals. - Based on your specific expertise, we are looking for candidates who hold advanced degrees (PhD, or Masters, MD/DO, or JD) coupled with significant clinical, legal, or financial practice. - Demonstrated research experience, analytical thinking, proficiency in problem formulation, and an interest in interdisciplinary AI applications. - Self-driven and detail-oriented, with a deep passion for applied AI research. An innovative thinker who pairs intellectual curiosity with a commitment to collaboration within an elite community of researchers and AI professionals. Benefits - Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology. - Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. - Flexible Schedule: ~5–20 hours per week, with the ability to set your own schedule around existing commitments. - Competitive Pay: We are offering $300/hr. USD for this role across all three domains; Finance, Legal, and Medical. Application Process - Apply: We review applications on a rolling basis. - Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI. - Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Program as a Research Advisor.

• Work with Associate Data Scientists and Data Scientists in researching data sources, data cleansing, feature engineering, and creating baseline models • Independently manage multiple data science model development/projects • Collaborate and engage with various cross-functional stakeholders to ensure close coordination between data science and business stakeholders including the product management team • Provide full ownership of the model development from inception to implementation including the machine learning pipeline, documentation, model drift, and remodeling strategy • Mentor the Associate Data Scientists and Data Scientists in data science knowledge and their interactions with other stakeholders • Coordinate with the ML team, anticipating deployment issues upfront, setting the stage for resource requirements, and ensuring the success of model deployment and retraining • Take and delegate ownership of critical tickets or issues faced by business stakeholders as assigned by the Lead Data Scientist or Director of Data Science • Read and independently navigate through extensive codebase with a focus on troubleshooting, debugging, and/or improvement of code • Contribute to coding standards and coding conventions and proactively participate in enforcing sound coding practices across the data science team • Create and maintain documentation of the ML models, data sources, and methodology • Assist in the creation of feasibility documents • Proactively participate in the core team processes including R&D, recommending, and implementing process improvements or new methodologies • Share knowledge with other various teams and members by presentation at periodic internal team sessions/workshops • Guide usage of development methodologies (Scrum, Kanban, etc.) and assist in their implementation in the group projects by deciphering details including features, tasks, estimates of efforts and timing, etc.