• Lead or contribute to the design and execution of rigorous quantitative research and evaluation projects across multiple Learning Supports initiatives. • Apply appropriate quantitative methods to collect, manage, analyze, and interpret data, including leading inferential analyses for both causal and non‑causal research questions. • Develop, maintain, and document reproducible and collaborative analytic workflows, including data management processes and quality control procedures. • Review, quality‑check, and strengthen analytic code and outputs produced by junior staff; provide guidance and mentorship to promote best practices in analysis and documentation. • Translate complex analytic findings into clear, actionable insights for client reports, technical memos, presentations, and briefings. • Manage discrete project tasks or analytic components, including planning timelines, tracking deliverables, and coordinating with project leadership and clients. • Support proposal development by contributing to technical and analytic sections and helping shape study design and analytic approaches. • Engage with internal and external stakeholders through meetings and dissemination activities, contributing to a collaborative and inclusive team environment.

Role Description IV.AI is looking for a Data Scientist to join and help work on machine learning problems (in the field of natural language processing) for large enterprise clients and to improve the suite of products that we offer. The ideal candidate should be helpful, responsive, dependable, and comfortable working remotely within a small team with tight deadlines. We value people who thrive working collaboratively in a distributed team and who are enthusiastic about the potential of machine learning. - Your primary responsibility is to deliver quality production-ready code, data, and insights. - Execute on defined tasks and contribute to solving problems with defined solutions. Salary range: USD$20,000 to $36,000 (USD) annual based on experience Timezone: PST Employment Type: Full Time Employee Qualifications - Great people come from diverse backgrounds. - We’re not necessarily looking for a Computer Science Masters or PhD. - Looking for someone who cares about articulating high quality data observations. - Ability to work diligently while tackling problems systematically. Requirements - 2+ years writing queries in SQL or running models in Python/Jupyter. - 2+ years experience with statistical analysis. - Write and speak clearly, communicate empathetically. - High standard of excellence for your work. - Attention to detail: spotting typos in text and errors in data. Bonus Points - Data visualization beyond pies and bars (e.g. box and whiskers, histograms, violin plots). - Github: pull, push, merge, PR, cherry-picking, issue tracking. - Regular Expressions. - PostgreSQL 12+. - An example where we can see your writing style (in English), ideally data-related. Responsibilities - Primarily focus on improving your craft as a Data Scientist. - Build SQL queries to calculate specific metrics. - Prototype data pipelines on Jupyter. - Write clear and concise reports for client deliverables, and documentation for internal tools. - Analyze and present datasets or results with simple methods. - Understand the reasoning behind the team's design decisions to verify and debug implementations of the designs. Company Description IV.AI is the world's smartest AI platform with a focus on enterprise. We have grown fast but aim to retain the scrappy nature that enabled us to build big ML models that outperform the industry standards. There are a lot of companies right now that talk about the potential impact of AI while we hustle hard and have actually proven the benefits repeatedly. - We’re trying to help everyone become better informed by using machine learning. - Our inclusive culture values people regardless of their background, education, or upbringing. - You should expect hard challenges working with our tier 1 client list. - Being professional and respectful of our clients is of the utmost importance. - Our employees are constantly problem-solving and assessing their own output to maximize delivery. - We never try to write more code than is necessary for a task. - We’re still young; expect that you'll be part of a core team, able to have a say in the future of the company.

• Help design, construct, and validate complex healthcare data cohorts used for AI model training • Act as a technical partner for complex data problems, including cohort construction and data validation • Translate research and customer requirements into practical dataset definitions • Build SQL and analysis needed to create datasets • Collaborate with delivery engineers to implement solutions requiring data pipeline changes • Validate datasets for quality and acceptance criteria • Work with AI researchers to translate goals into practical dataset specifications • Analyze partner datasets for schema understanding and data quality

• You will be responsible for conducting statistical analysis, data visualization and translation of results using best practices and statistical methods to provide meaningful insights to clinical, medical, and commercial teams. • You will manage large and diverse datasets, including data ingestion, documentation, cleaning, quality control checks, and storage in cloud environments. • You will prepare summary statistics, tables & figures for reports, presentations & publications, write descriptions of analytical methods, and draw conclusions from analysis results. • You will be responsible for comprehensively synthesizing and translating research findings, and effectively communicating actionable insights and recommendations to stakeholders at all levels of the organization. • You will collaborate with cross-functional teams, including product development, medical affairs, and clinical education, to translate quantitative insights for HCP- and patient- facing communications. • You will be expected to stay updated on industry trends, methodologies, and best practices in quantitative research, continuously refining skills and approaches to deliver high-quality insights. • You will perform other responsibilities as assigned and requested.