Clinical Data Programmer

Perceptive Inc.; Hyderabad; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Perceptive Inc. in Hyderabad is seeking a Clinical Data Programmer to translate business requirements into efficient data pipelines. You will use programming languages, scripts and tools to extract, transform, and validate clinical data, ensuring integrity across projects.

The role emphasizes data quality, governance and collaboration with cross-functional teams to deliver timely, compliant datasets for CDISC standards and regulatory needs.

Qualifications

• Bachelor’s degree in a technical discipline or equivalent project experience
• 3+ years of experience in data programming or analytics
• Extensive experience using computer languages to analyse data
• Proficiency with PL/SQL and Python required
• Experience with CDISC (CDASH/SDTM/ADaM) mapping a plus
• Knowledge of clinical vocabulary and healthcare data standards

Responsibilities

• Design, code, verify, test, document, amend and refactor programs.
• Write and validate programs to extract and transform clinical data.
• Validate data with data validation scripts for accuracy and completeness.
• Ensure data quality and integrity through validation and QC processes.
• Apply standards, tools and security practices for high-quality results.
• Generate reports by sourcing data from multiple sources.
• Integrate and cleanse data to fit its purpose.

Skills

Logical reasoning

Analytical thinking

Time management

Collaboration

Communication

Adaptability

Problem solving

Attention to detail

Education

Bachelor's degree in Math/Science/Engineering/Computing

Tools

PL/SQL

Python

Big data tools

Job description

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.
• 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
• Experience with big data technologies and tools.
• Knowledge of clinical vocabulary and healthcare data standards.
• Experience using tools to communicate progress to Stakeholders
• Knowledge of CDISC (CDASH/SDTM/ADaM) mapping/specs/conversion/domains/datasets a plus.