Clinical Data Analyst

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

The Clinical Data Analyst is responsible for developing and implementing analytics driven solutions to automate clinical data flow. Accountable for programming clinical data reports and dashboards enabling data review that allows for seamless downstream consumption, standardization and integration of data. This requires an in depth understanding of statistical programming, data flow, and data standards. The Clinical Data Analyst collaborates with the Clinical Data Strategist, Clinical Data Lead, Clinical Data Management Associate, Clinical Data Associate and other partners to deliver standardized reports, dashboards and innovative analytic solutions for use in global clinical trials.

Responsibilities:

This job description is intended to provide a general overview of the job requirements at the time it was prepared. The job requirements of any position may change over time and may include additional responsibilities not specifically described in the job description. Consult with your supervision regarding your actual job responsibilities and any related duties that may be required for the position.

Portfolio Delivery

• Program and implement data review solutions, dashboarding and analytics for a trial or set of trials within therapeutic area
• Ensure data reporting and analytics are delivered accurately, efficiently and in alignment with study objectives
• Provide insights into study level deliverables (i.e. Data Management Plan, Project Plan, database, and observed datasets)
• Support submission, inspection and regulatory response activities
• Lead large-scale cross Business Unit/Therapeutic Area projects or programs with high complexity
• Develops and tests new ideas and/or applies innovative solutions that surface business insights
• Independently identifies key scientific questions/issues and develops solutions to advance the portfolio

Project Management

• Increase speed, accuracy, and consistency in the development of reporting and analytic capabilities
• Partner with Clinical Data Management Associate and Data Strategist to deliver data reporting and analytics per business need
• Align with and influence data standard decisions and strategies for a study and/or program
• Build therapeutic knowledge and a deep and broad understanding of the technology to develop data reports and analytic solutions
• Effectively apply knowledge of applicable internal, external and regulatory requirements/expectations (MQA, CSQ, MHRA, FDA, ICH, GCP, PhRMA, Privacy knowledge, etc.) to regular work
• Integrates multi-functional and/or external information and applies technical knowledge to data-driven decision making

Enterprise Leadership

• Continually seek and implement means of improving processes to optimize data reporting/analytics and decrease work effort
• Represent Data and Analytics processes in multi-functional initiatives
• Actively engage in shared learning across Data and Analytics organization
• Strive to Increase re-usability of reports and analytics
• Drive automation and seamless data delivery with real time data analytics
• Anticipate and resolve key technical, operational or business problems that impact the Data and Analytics organization
• Interacts with regulators, business partners and external collaborators on business issues
• Bring end to end approach towards managing risk to minimize impact on delivery
• Builds a diverse multi-functional and internal/external network to understand how different domains and approaches contribute to research and development
• Focuses on defining analytic solutions to answer scientific questions, goals, critical success factor and timelines in support of advancing the portfolio

Basic Requirements:

• Masters degree with 3 years of experience in Computer Science, Engineering, Statistics, or related field
• Bachelor degree with equivalent experience in lieu of Masters
• Hands-on programming experience in the clinical, pharmaceutical, biotech, or CRO setting

Additional Preferences:

• Programming proficiency in either Python, SAS or R is highly desired
• Experienced with AI/ML tools
• Technical knowledge to develop requirements and/or study project deliverables
• Knowledge and experience with statistical techniques
• Proven ability to work creatively and analytically in a problem-solving environment
• Excellent leadership, communication (written and oral) and interpersonal skills
• Demonstrated leadership
• Demonstrated teamwork, collaboration and high learning agility
• Passionate about improving technological solutions using new technologies

Additional Information:

• Domestic and International travel may be required

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.

Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company (subject to applicable law).