Associate Director, Clinical Data Analytics and Reporting

About the role

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.

Responsibilities

• 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.

Requirements

• 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 written communication skills with high EQ to effectively collaborate with business cross-functional teams.
• Understanding of the clinical development lifecycle and demonstrated experience building analytics capabilities in clinical development
• Knowledge of Report/Dashboard development in Veeva R&D Vaults such Clinical, RIM, Quality, Safety is preferred.
• Knowledge of IT Computer System Validation (CSV) in a GxP environment is preferred.
• Experience with Automation and AI Agent Frameworks is preferred.
• Deep knowledge of RBQM, Quality by Design (QbD) and regulatory/operational expectations for clinical oversight is preferred.

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 written communication skills with high EQ to effectively collaborate with business cross-functional teams.
• Understanding of the clinical development lifecycle and demonstrated experience building analytics capabilities in clinical development
• Knowledge of Report/Dashboard development in Veeva R&D Vaults such Clinical, RIM, Quality, Safety is preferred.
• Knowledge of IT Computer System Validation (CSV) in a GxP environment is preferred.
• Experience with Automation and AI Agent Frameworks is preferred.
• Deep knowledge of RBQM, Quality by Design (QbD) and regulatory/operational expectations for clinical oversight is preferred.

Benefits

• 401k plan with company matching
• Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)
• Mental health and wellness benefits
• Weeklong summer and winter holiday shutdowns
• Generous paid time off and holiday policies
• Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies
• Enhanced parental leave benefit
• Daily subsidized lunch program when on-site

Pay

The expected salary range for this role is $191,000 to $209,000 depending on skills, competency, and the market demand for your expertise.

Schedule

Not specified