Senior Manager, Clinical Data Analytics (Contractor)

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 Summary We are seeking a highly motivated and innovative Clinical Data Analytics Developer for a 4-month contract engagement focused on the design and development of advanced analytics solutions supporting Clinical Data Management. This is a hands-on development role with a primary focus on building a Clinical Systems Audit Trail Review platform leveraging modern analytics, visualization, machine learning, and emerging AI technologies. The consultant will work closely with Clinical Data Management and cross-functional stakeholders to develop intelligent review workflows, anomaly detection capabilities, operational dashboards, and data-driven monitoring solutions across clinical study systems. The successful candidate will have strong experience developing data applications using R Shiny, R, Python, SQL, and modern visualization technologies. Experience working with clinical trial data, clinical systems, and regulated environments is highly desirable. This role offers an opportunity to contribute to innovative initiatives involving machine learning, intelligent analytics, and evaluation of future AI-enabled capabilities for clinical data review and operational oversight. Key Responsibilities During the engagement, the consultant will be expected to: Lead development of an Audit Trail Review application supporting clinical systems such as EDC, RTSM, eCOA/ePRO, and related clinical platforms. Build interactive dashboards and analytics workflows supporting clinical data review and operational monitoring. Develop anomaly detection and risk identification capabilities using statistical and machine learning techniques. Evaluate future AI-enabled opportunities including intelligent review assistants, AI-assisted analytics, and agent-based workflows. Provide recommendations regarding AI technology utilization, security considerations, operational feasibility, scalability, and cost implications. Deliver documentation and technical knowledge transfer materials to support future enhancements and long-term maintenance. Design, develop, and maintain clinical analytics applications, dashboards, and reporting solutions using R Shiny, R, Python, SQL, and modern visualization tools. Develop data review, monitoring, and risk identification capabilities using statistical and machine learning techniques. Collaborate with Clinical Data Management and cross-functional stakeholders to gather requirements, validate solutions, and deliver high-quality applications. Create technical documentation and support knowledge transfer activities. Required Qualifications 8+ years of experience with a Bachelor's degree, or 6+ years with a post graduate degree in Computer Science, Data Science, Statistics, Bioinformatics, Life Sciences, or related field. Minimum 3 years of experience developing analytics, reporting, dashboard, or software solutions. Experience with R, R Shiny, Python and SQL. Experience developing dashboards, data visualizations, and interactive applications. Hands-on experience developing, implementing, or evaluating Machine Learning (ML) models and AI-driven solutions for data analytics, pattern recognition, anomaly detection, automation, or decision support applications. Strong analytical, problem-solving, and communication skills. Ability to work independently and manage multiple priorities. The expected hourly range for this role is $75.48 to $82.21 depending on skills, competency, and the market demand