Associate Director, Clinical Data Analytics and Reporting

Eikon Therapeutics is a new biopharmaceutical company employing revolutionary technology at the intersection of chemistry, engineering, computation, and biology to discover novel treatments for life-threatening diseases. Eikon’s discovery platform is built on groundbreaking innovations from its founders (Nobel Prize, 2014), culminating in the creation of microscopes which enable real time, molecular-resolution measurements of protein movement in living cells, thereby unlocking otherwise intractable classes of proteins as drug targets. Position : The Associate Director, Clinical Data Analytics and Reporting is a leader responsible for establishing and scaling a Clinical Research & Development clinical analytics function for a growing biotechnology company. This role will define the analytics strategy, operating model, and technology roadmap, including the technical implementation to enable high-quality, data-driven decision-making across Clinical Research & Development, with primary focus on oncology programs. This is a hands-on role requiring demonstrated expertise in design, development, test and support of complete analytics & reporting system lifecycle. This leader will partner closely with Clinical Operations, Biostatistics, Data Management, Clinical Research, Regulatory, Safety and Clinical Quality Assurance to ensure proactive risk identification, operational excellence, inspection-ready execution across the portfolio. About You The successful candidate will combine deep clinical development expertise with advanced analytics, data governance, and visualization capabilities. The ideal candidate for this role should possess a proven track record of designing, implementing and supporting end-to-end data analytics solutions using current state-of-the-art technologies, and a deep knowledge of emerging trends and best practices in data analytics. What will you do: Collaborate with Stakeholders in different areas of Clinical Development R&D organization, IT System Owners and external vendors to define and implement the clinical analytics vision, strategy and capabilities (e.g., dashboard, etc.) aligned with clinical development objectives. Establish a scalable analytics operating model suitable for early stage through late phase development. Translate complex clinical and operational data into clear, actionable insights for executive and study teams (including predictive and prescriptive analytics to anticipate risks and optimize trial execution). Design, development, test and deployment of the complete end-to-end analytics solution to enable decision-grade dashboards and metrics across Clinical R&D. Design and implementation of datawarehouse/datalake/lakehouse including star schemas. Collaborate with System Owners, Business Owners and Subject Matter Experts to map sources system objects and attributes to data warehouse objects. Develop, test and support data pipelines for extract, transform, load (ETL) of the source system data to populate datawarehouse/datalake/lakehouse. Develop end user facing dashboards and analytics solutions. Support the operations of the IT systems landscape ensuring system uptime, ETL and other job completion as per schedule, ongoing system changes and enhancements. Qualifications Post Graduate degree with 8+ years of experience or a Bachelor’s degree with 10+ years of experience in development and support of Clinical Operations analytics solutions. Demonstrated strong experience working with developing end user dashboards using solutions such as Qlik, Power BI, Shiny R/Python. Strong Experience developing datalake/lakehouse solutions on platforms such as Snowflake, Databricks, AWS, and Azure. Strong working knowledge of development and management of database technologies such as Postgres, SQLServer etc. Experience with development of data pipelines including ETL from source systems to datawarehouse/datalakes/lakehouse using solutions such as Apache Airflow, Fivetran, dbt etc. Excellent oral and writte