Clinical Data Programmer

We’re on a mission to change the future of clinical research. At Perceptive, we help the biopharmaceutical industry bring medical treatments to the market, faster. Our mission is to change the world but to do this, we need people like you. Apart from job satisfaction, we can offer you: HEALTH:
- Medical plan for you and your dependents.
- Personal Accident Insurance
- Life Insurance
- Critical illness cover WEALTH:
- Salary structure and Flexi basket
- Provident fund of 12%
- Gratuity scheme YOURSELF: Internal growth and development programs & trainings As a Clinical Data Programmer, your core responsibility is to understand business requirements and identify opportunities to drive efficiency and value through data. Utilize programming languages, scripts, and software tools to perform data extraction, transformation, and validation, ensuring data integrity and consistency across assigned projects.

Key Responsibilities
Programming
• Designs, codes, verifies, tests, documents, amends and refactors programs.
• Writes and validates programs to extract and transform clinical data.
• Wittes and validates programs (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
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• Integrating and cleansing data to make it fit for purpose
• Performs Code reviews
• Support data setup (eCRF) design if needed Data Quality Assurance
• Performs 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.
• Exhibit a proactive and analytical mindset by asking relevant questions and thoroughly investigating data-related problems.
• Execute data preparation and cleansing tasks with precision, following established guidelines and best practices with guidance. Data Management
• Data Governance – Emphasize the importance of data governance policies in maintaining data integrity, security, and compliance within the organization.
• Project-Specific Data Management: Demonstrate how data management tools, procedures, and methods are applied to specific projects to enhance data accuracy, accessibility, and actionable insights. Data Operations
• Provide reports to business based on function or project requirements
• Support business stakeholders in generation of reports to support efficient business process and outlier reviews
• Ability to interpret concepts, ideas and data to outputs that are understood by the business.
• Independently identify gaps/issues/trends through exploratory data analysis
• Use discussions with stakeholders and understanding of existing available data to pull and provide data driven insights to the business from various systems. Documentation
• 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. Other
• Communicates fluently, orally and in writing, and can present complex information to both technical and nontechnical
• Seeks specialist security knowledge or advice when required to support own work or work of immediate colleagues.
• Maintains an awareness of developing practices and their application and takes responsibility for driving own development.
• Carryout any other reasonable duties as requested. Functional Competencies (Technical knowledge/Skills)
• 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 with enthusiasm and prioritize workload with attention to detail.
• Demonstrated accountability relative to key accountabilities in the

job description
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• 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. Experience, Education, and Certifications
• 3+ year 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, Python – required
• SAS (SAS Macros, PROC SQL), R, JavaScript
• Experience with big data technologies and tools.
• Knowledge of clinical vocabulary and healthcare data standards.
• Experience using tools to communicate progress to Stakeholders
• English: Fluent
• Knowledge of CDISC (CDASH/SDTM/ADaM) mapping/specs/conversion/domains/datasets a plus Come as you are. We're proud to be a Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.