• 5 years of experience in different Data Science topics (e.g. machine learning, LLM, deep learning) • Deliver independently Data Science projects, bring an e2e product-oriented mindset • Engage directly with clients to understand their business objectives and translate them into technical requirements. • Lead pre-sales technical discussions, demonstrating the value and capabilities of our analytics solutions. • Collaborate with cross-functional teams to integrate AI/ML solutions into the company's product offerings. • Provide thought leadership and mentorship within the team, fostering a culture of continuous learning and innovation. • Stay abreast of industry trends and advancements in AI/ML to ensure our solutions remain cutting-edge.

• Leads a large clinical study or a series of related studies with minimal guidance. • Represents Data Management at study management team meetings. • Provides mentoring and training to lower-level Data Management staff assigned to his/her studies Manage and monitor the progress of data management activities with CROs or other vendors on assigned studies; build effective relationships with CRO / vendor counterparts. • Reviews protocols for appropriate data capture including electronic Case Report Form (eCRF) design. • Performs a thoroughly detailed review of eCRF data requirements and create one if need be. • Interacts with CRAs, programmers, study operations lead and statisticians in designing eCRFs and creating the annotated eCRF and CRF completion guidelines. • Leads the development of data edit check specifications and data listings. • Coordinates the design and testing of Electronic Data Capture (EDC) systems according to company processes. • Resolves EDC system issues with team members. • Develops or lead the development of the Data Management Plan for a clinical study. • Reviews and provides feedback to the clinical team on other study documents Statistical analysis plans and vendor specifications. • Provides training on the EDC system and/or eCRF Completion Guidelines at Investigator Meetings and to internal and external study team members as needed. • Performs reconciliation of data from external data sources against the clinical database. • Performs Serious Adverse Event reconciliation activities according to SOPs and guidelines. • Leads database upgrades/migrations including performing User Acceptance Testing. • Performs database lock and freeze activities per company SOPs. • Adheres to Iovance Biotherapeutics’ core values, policies, procedures, and business ethics. • Performs miscellaneous duties as assigned.

• Design, develop, and optimize end-to-end recommendation systems, from data ingestion to model deployment. • Build, fine-tune, and evaluate recommendation algorithms for scalability and performance. • Collaborate with engineering and product teams to integrate ML solutions into business applications. • Lead and manage projects, ensuring timely delivery of solutions aligned with business objectives. • Provide technical guidance and mentorship to junior data scientists and engineers. • Work directly with clients and stakeholders, demonstrating strong communication and problem-solving skills. • Drive innovation by exploring and implementing new techniques in recommendation systems and Al. • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization. • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

• Collaborate closely with the User Acquisition team to optimize Paid Social campaign performance. • Own the technical frameworks for tracking marketing effectiveness in a privacy-first world. • Own the end-to-end design and maintenance of marketing analytics dashboards in BI tools. • Conduct granular analysis on campaigns and creative performance with data-driven recommendations. • Deeply analyze mobile user cohorts to understand retention and monetization behaviors. • Collaborate with marketing and finance team members for channel incrementality measurement.