• Responsible for managing all aspects of the clinical trial data management process from study start up to post database lock for assigned projects • Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing • May perform quality control of data entry • Provide input, assess and manage timelines to ensure clinical data management deadlines are met • Develop CRF specifications from the clinical study protocol and coordinate review/feedback from stakeholders • Communicate with study sponsors, vendors and project teams as needed regarding data, database, or other relevant project issues

• Primary Data Management (DM) contact (Lead DM role) for assigned clinical project(s) / program(s), ensuring that there is back-up, continuity, responsiveness, and that tasks are performed in a timely manner. May support another Lead DM as a back-up and/or team member. May include DM oversight of sponsor programs. • Oversee project data entry process including development of data entry guidelines, training, data entry quality and resourcing • May perform quality control of data entry • Provide input, assesses and manage timelines. Ensure that clinical data management deadlines are met with quality. Assess resource needs for assigned projects, as needed. • Develop CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders • May assist in building clinical databases • Conduct database build UAT and maintain quality controlled database build documentation. Oversee overall quality of the clinical database. • May specify requirements for all edit check types e.g. electronic, manual data review, edit checks, etc. Oversee development of the edit check specifications and manual data review specifications • Responsible for creating, revising, appropriate versioning and maintaining data management documentation. Oversee completeness of data management documentation for the Trial Master File. • Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed. • Review and query clinical trial data according to the Data Management Plan • Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM • Run patient and study level status and metric reporting • Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency • Coordinate SAE/AE reconciliation • Liaises with third-party vendors such as external data and EDC vendors in a project manager capacity in support of timelines and data-related deliverables • May assist with SAS programming and quality control of SAS programs used in the Data Management department • Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders • May assist in reviewing and providing feedback on protocols, Statistical Analysis Plans (SAP) and Clinical Study Reports (CSRs), if required by the project • Participate in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation related to data management and database management activities • May attend strategy meetings, bid defense prep meetings, bid defenses, capability presentations, potential client engagement meetings • May review Request for Proposals (RFP), proposals, provide project estimates • Provide leadership for cross-functional and organization-wide initiatives, where applicable • Trains and ensures that all data management project team members have been sufficiently trained • Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues • May present software demonstrations/trainings, department/company training sessions, present at project meetings • May require some travel • Perform other duties as assigned

• Partner with Teams: Work directly with departments like Finance, Customer Success, and Product to understand their data needs, be their thought partner and deliver impactful solutions. • Build and Deploy Solutions: Prototype and launch data-powered tools and automations, both for our customers and for the company. • Define and Track What Matters: Help teams establish meaningful success metrics and build data products that report to monitor them. • Balance Speed and Rigor: Recognize when to move fast with a pragmatic solution and when to invest in building the right system - and communicate those tradeoffs clearly to stakeholders. • Champion Data Adoption: Create clear documentation, lead training sessions, and act as the internal expert to help teams more effectively use data tools within their workflows. • Raise the Bar: Contribute to and evolve data science standards and practices across the team.

Role Description As a Senior Data Scientist, you will join a team of data scientists, AI researchers, software developers, and psychometricians who provide technical and scientific leadership for some of our most important strategic efforts companywide. You will be actively and cross-functionally involved in the entire AI/ML model development lifecycle from design to deployment. You will help design, develop, validate, operationalize, and monitor AI/ML models for our Higher Education business unit, and you will collaborate closely with colleagues across functions like Product, Engineering, Learning Design, and User Experience to help McGraw Hill create and deliver world-class educational experiences. This is a remote position open to applicants authorized to work for any employer within the United States. What You'll Do: - Plan, execute, and report on projects of diverse scope independently with weekly manager check-ins. - Support/guide junior colleagues, including acting as team lead on shared projects. - Propose solutions to business problems based on limited information and precedent. - Solve problems by adopting, adapting, and/or extending existing DS/AI approaches. - Collaborate with colleagues in other functions to support the creation of compelling learning experiences. - Learn how to balance multiple projects and revise project plans as circumstances change. Qualifications - Master’s degree (or equivalent) in AI, Data Science, or related field - 3+ years of applicable work experience - Ability to apply DS/AI knowledge to independently define and resolve problems, even with limited information or precedent - Recent hands-on experience with generative AI, including LLM orchestration frameworks (e.g., LangChain, LlamaIndex) - Deep understanding of large language model (LLM) principles - Proficiency in Python and SQL (5+ years) - Creativity in addressing diverse issues aligned with business goals, including suggesting variations in approach - Ability to adapt communication style to different audiences and advise others on complex matters - Proven track record of independently planning, executing, and reporting on AI projects to deliver business value Requirements - Passion for technology and commitment to staying current on generative AI advancements - Affinity for education and knowledge sharing - Experience with LangSmith - Strong technical communication and collaboration skills - Ability to create scalable and efficient production-level code Benefits The pay range for this position is between $140,000 - $170,000 annually. However, base pay offered may vary depending on job-related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings. McGraw Hill recruiters always use a “@mheducation.com” email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email.