• Lead statistically sound analyses to answer high-impact safety and regulatory questions, including how system performance translates to risk • Apply statistical methods to quantify and assess risk using a variety of data sources including large-scale time-series data (e.g., vehicle and sensor data) and structured safety datasets • Bridge safety and engineering teams by translating complex analyses into information engineers can act on • Develop automated, production-ready analysis workflows that support continuous safety monitoring • Select and defend appropriate statistical approaches for sparse, noisy, or rare-event data, applying Bayesian and frequentist methods and leveraging machine learning techniques where appropriate • Communicate statistically defensible findings to technical leaders, safety stakeholders, and executives

• We are hiring a Data Scientist focused on algorithm development and implementation of natural language processing and computer vision models. • These models are applied to tens of millions of social media posts daily! • You will be working with state of the art transformer models, as well as large language models and vision language models, to build sophisticated compound AI systems. • We work with semantic and image similarity search, leveraging vector databases storing hundreds of millions of content embeddings to find relevant data! • You will be expected to work with all of these components, balancing cost and quality to develop the best performing classifiers possible!

• 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.