Clinical Data Programmer

Overview

Clinical Data Programmer role at Calyx, responsible for extracting, transforming and validating clinical data and supporting data quality across assigned projects.

What you'll do

• Design, code, verify, test, document, amend and refactor programs.
• Write and validate programs to extract and transform clinical data.
• Write and validate data validation scripts to check the accuracy, completeness and consistency of data collected on the eCRF.
• Ensure data quality and integrity through rigorous validation and quality control processes.
• Apply agreed standards, tools, and basic security practices to achieve high-quality results.
• Generate standard reports by finding, selecting, acquiring and ingesting data sources.
• Integrate and cleanse data to make it fit for purpose.
• Perform code reviews.
• Support data setup (eCRF) design if needed.
• Perform careful analysis of data to produce clear findings.
• Detect and verify basic data issues to ensure accuracy and reliability of data and analysis.
• Evaluate data to confirm it meets the requirements for its intended purpose.
• Analyze and understand the context in which data is utilized to ensure relevance and applicability.
• Ask relevant questions and thoroughly investigate data-related problems.
• Execute data preparation and cleansing tasks with precision, following established guidelines and best practices with guidance.
• Emphasize the importance of data governance policies in maintaining data integrity, security, and compliance.
• Apply data management tools, procedures, and methods to specific projects to enhance data accuracy, accessibility, and actionable insights.
• Provide reports to business based on function or project requirements.
• Support business stakeholders in generating reports to support efficient business process and outlier reviews.
• Interpret concepts, ideas and data into outputs that are understood by the business.
• Independently identify gaps, issues and trends through exploratory data analysis.
• Use discussions with stakeholders and understanding of existing data to pull and provide data-driven insights to the business from various systems.
• Participate in review of export requirements specification and external, client documentation.
• Document evidence of data findings following internal SOPs and best practices.
• Create installation qualification documents and other technical specifications that provide instructions for program execution.
• Contribute to creation and maintenance of documentation for all programming activities and processes.
• Seek specialist security knowledge or advice when required to support own work or the work of immediate colleagues.
• Maintain an awareness of developing practices and their application, and take responsibility for driving own development.
• Carry out any other reasonable duties as requested.

What you'll need

• 3+ years of experience.
• Bachelor's Degree in a technical discipline (Math, Science, Engineering, Computing, etc.) or a related study, or equivalent project-related experience.
• Extensive experience using computer languages to analyse data: PL/SQL and Python (required).
• Experience with SAS (SAS Macros, PROC SQL), R, or JavaScript.
• Experience with big data technologies and tools.
• Knowledge of clinical vocabulary and healthcare data standards.
• Experience using tools to communicate progress to stakeholders.
• Fluent English.
• Strong logical reasoning and structured problem-solving skills.
• Advanced analytical thinking, attention to detail with first time quality.
• Excellent time management and prioritization skills to meet objectives and timelines.
• Proven ability to work collaboratively within a matrix team environment.
• Strong interpersonal, oral and written communication skills.
• Ability to swiftly understand new technologies and processes.
• Ability to manage multiple and varied tasks and prioritize workload with attention to detail.
• Demonstrated accountability relative to key accountabilities in the job description.
• Ability to work methodically in a fast-paced, time-sensitive environment.
• Demonstrated ability to apply critical thinking to complex problems and tasks.
• Proactive participation in skills improvement.
• Comprehensive knowledge of Good Clinical Practice, clinical trial design, and the overall drug development process.
• Communicates fluently, orally and in writing, and can present complex information to both technical and nontechnical audiences.

Nice to have

• Knowledge of CDISC (CDASH/SDTM/ADaM) mapping, specs, conversion, domains and datasets.

Details

• Location: Hyderabad, India.