• Act as Lead Clinical Data Manager for assigned data management projects • Act as a Project Lead for Biometric-only projects • Coordinate work of other Clinical Data Management staff assigned to the project • Review Study Protocol • Develop CRF or review of sponsor-generated CRFs • Develop Database • Define and program edit checks • Responsible to prepare, finalize and archive all related DM documentation • Develop Data Management Plan and Data Management Report • Develop Data Validation Plan (including definition of edit checks) • Develop Data Entry Instructions/ eCRF completion guidelines • Coordinate validation of database, edit checks and trial and site settings • Performs validation of database, edit checks and trial and site settings in studies where not the responsible CDM • Perform CRF handling including logging, tracking and sorting • Support the CRAs in study related questions • Perform Data cleaning and query handling • Ensure completion of Quality Control task for the finalization and transfer of the study database and related documents to the sponsor • May coordinate SDTM mapping with the senior programmer when needed • Carry out all tasks related to database closure • Provide CDs with study documentation to the sites (patient data, audit trail and closed queries) • File/archive essential documents • Provide metrics and status updates to senior management and project leaders and sponsors if required • Train and support Clinical Data Associates and Clinical Data Managers • Train and support both internal and external Clinical Study Teams • Represent TFS Data Management in sponsor and investigator meetings • Responsible to escalate any issues on projects or the need for potential SOP deviations • May perform system validation, create test scripts for system validation as well as perform UAT of ePROs in collaboration with the CRA • Actively contribute to the organization and development of processes to enhance the work at TFS

• Own the customer value narrative: Build and maintain the infrastructure that lets every customer (and our sales team) articulate Verify's ROI in dollars and percentages • Ship production ML systems: From feature engineering through deployment, monitoring, and iteration • Create reliable, self-serve data products: Dashboards, APIs, and datasets that scale without manual intervention • Drive pricing and packaging decisions: Provide the quantitative foundation for how we charge and what we bundle • Partner across the organization: Work with Product, Engineering, Finance, Sales, and Customer Success to embed data into every decision • Report to leadership: Own KPI narratives on margin drivers, growth levers, and competitive positioning

Title: Junior Clinical Trials Data Specialist Locations: Remote - Illinois California, Colorado, New York time type Full time job requisition id JR202600459 Job Description: Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. Responsibilities: - Review patient clinical records and use relevant data to determine clinical trial matches. - Independently manage clinical trial workflows, adapting to changing priorities and business needs to ensure efficiency and consistency. - Work collaboratively with cross-functional teams at Tempus (including scientists, pathologists, and product development) to create customized clinical reports. - Navigate and synthesize information from multiple data sources and systems. - Ensure clinical reports are accurate, clear, and aligned with requirements. - Support ongoing and future projects within the team. - Contribute to a dynamic work environment by maintaining flexibility and responsiveness to shifting workflows. - Other duties as assigned. Qualifications: - Bachelor's or Master's degree in Genetics, Molecular Genetics, Cancer Biology, or Biological Sciences. - Willingness to work flexible hours and adapt to business needs. - Strong written and verbal communication skills. - Proficient in critical thinking, interpersonal, and problem-solving abilities. - Ability to manage complex tasks efficiently under time constraints. - Highly detail-oriented with a commitment to accuracy and consistency. - Self-motivated and able to thrive independently as well as within a collaborative, high-performing team. - Demonstrated passion for making an impact in a fast-paced, mission-driven environment. Preferred Qualifications: - Experience reviewing hematology/oncology clinical records. - Experience in critically evaluating clinical trials. - Basic knowledge of generative AI. CHI: $46,000-$50,000 The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Role Description As a Senior Data Scientist, you'll work across Credit Risk, Growth, and AI initiatives based on where the team needs the most leverage at any given time. This role is critical to how we scale, creating the flexibility and redundancy the team needs to execute across a wide roadmap without breaking. - Contribute across: - Credit Risk (underwriting, fraud, collections) - Growth (personalization, recommendations, incentivization) - AI initiatives based on team priorities - Own projects end-to-end within your assigned domain, including data, modeling, deployment, and post-launch monitoring. - Develop deep familiarity across multiple domains and systems, enabling the team to move faster and maintain continuity as we scale. - Drive research and exploration workstreams, evaluating new modeling approaches, alternative data sources, and tooling that keeps Aplazo ahead of the curve. - Collaborate closely with Lead and Staff Data Scientists to deliver on the broader roadmap. - Identify and flag opportunities for improvement across domains, often being the person with the broadest view of what's working and what isn't. Qualifications - 4–8 years of experience across more than one data science domain, such as Risk, Growth, Personalization, or similar. - Strong ML fundamentals, able to pick the right tool for the problem rather than defaulting to what you know best. - Demonstrated ability to ramp quickly on unfamiliar problems and deliver with limited guidance. - Proficiency in Python, SQL, and standard ML frameworks. - Hands-on experience with LLMs / GenAI as part of your regular workflow. - Production experience, having taken models past the notebook stage. Requirements - Strong Plus: - Fintech or BNPL background, familiarity with credit risk or fraud modeling concepts. - Experience with experimentation frameworks and A/B testing at scale. - Exposure to MLOps practices, feature pipelines, model monitoring, and deployment. - Publications or presentations in recognized Machine Learning and Data Science journals/conferences. Benefits - Rare opportunity to build breadth across Risk, Growth, and AI at a company where all three domains actually matter. - Small, senior team, working alongside and learning from some of the strongest DS practitioners in fintech. - Direct impact on business outcomes, with no layers or hand-offs. - Strong foundation for a future specialist or lead role as the team scales. Languages - English (Advanced) - Spanish is a plus but not required.