Associate Functional Programmer

BANGALORE (IN)ONSITEPOSTED: 9/1/2026
PHARMAFull-time
HIRING ORGANIZATIONNOVO NORDISKPharmaceuticals / Healthcare
Novo Nordisk

ROLE DEFINITION & RESPONSIBILITIES

Role Overview

Generate and maintain monitoring reports that support Risk-Based Quality Management (RBQM) across Novo Nordisk's global clinical trial portfolio.
Translate complex clinical and operational data into actionable insights supporting clinical trial quality, data integrity, and patient safety.
Work within the Trial Monitoring & Reporting team at the Novo Nordisk Global Business Services centre in Bengaluru.

Core Responsibilities

Generate standard and customized monitoring reports covering Trial Monitoring, Central Monitoring, Medical Monitoring, and Risk Indicator reporting to support RBQM across the clinical trial portfolio.
Develop new programs and customize existing programs using tools and platforms including Central Monitoring Platform (CMP), Qlik Sense, SQL, SAS, JMP, Power BI, Databricks, Python, and R.
Integrate data from multiple sources to develop monitoring and analytical reports.
Understand stakeholder requirements and translate them into detailed specifications for report development.
Produce ad-hoc reports for different stakeholder groups, including reports covering Adverse Events of Special Interest (AESI), data-cleaning cycles, protocol deviations, site data-entry status, and subject lists.
Create validation documentation for programs and reports.
Conduct peer reviews of programs and reports to support quality and accuracy.
Design report templates using data models or mock data.
Participate in monitoring report meetings, document meeting minutes, provide input regarding data availability, and follow up on agreed action items.

Technical & Clinical Data Expertise

Apply programming and data-analytics skills to clinical trial monitoring and reporting requirements.
Use at least one programming language such as SAS, SQL, Python, or R to identify and implement technical solutions to data challenges.
Work with multiple clinical data sources and reporting technologies to support RBQM.
Understand drug development processes and clinical trial data workflows.
Apply knowledge of basic medical terminology, GxP guidelines, and computer system validation processes.
Use analytical and statistical concepts to interpret data and support monitoring activities.

Cross-Functional Collaboration

Work closely with cross-functional stakeholders to understand reporting needs and convert business or clinical requirements into technical specifications.
Collaborate with colleagues at Novo Nordisk headquarters and global clinical operations teams.
Participate in monitoring-report discussions and provide information regarding data availability and technical feasibility.
Work effectively within a diverse and multicultural international environment.
The role may involve international travel for training and stakeholder engagement.

Department & Business Impact

The role sits within Research & Development and supports the development and clinical testing of innovative therapies.
The Trial Monitoring & Reporting team contributes to the quality and integrity of clinical trial data through robust reporting frameworks.
The position supports Novo Nordisk's RBQM activities by enabling timely identification of risks, data-quality issues, protocol deviations, and other clinical trial indicators.
The work contributes directly to clinical trial quality and patient-safety objectives across the global portfolio.

Qualifications

Bachelor's or Master's degree in Life Sciences, Computer Science, Information Technology, Clinical Information Management, or an equivalent qualification.
1-3 years of experience in the pharmaceutical industry.
Preferably 1-2 years of experience involving clinical data management systems, bioinformatics, or Clinical Research Associate responsibilities.
Basic proficiency in at least one programming language such as SAS, SQL, Python, or R.
Familiarity with drug-development processes, medical terminology, GxP guidelines, and computer system validation.
Strong analytical capabilities and aptitude for data analytics and statistical concepts.
Strong written and spoken English communication skills.
Ability to collaborate effectively in a diverse, multicultural, data-driven environment.

Working Environment

Based at Novo Nordisk Global Business Services in Bengaluru.
Part of the Trial Monitoring & Reporting team within Research & Development.
Collaboration extends across headquarters and global clinical operations.
The environment emphasizes curiosity, scientific innovation, operational excellence, data-driven decision-making, and collaboration.

Company Culture & Inclusion

Novo Nordisk emphasizes determination, curiosity, continuous improvement, diverse perspectives, shared purpose, and mutual respect.
The company focuses on developing solutions for serious chronic diseases and advancing healthcare through innovation.
Novo Nordisk commits to an inclusive recruitment process and equal opportunity for job applicants.

REQUIRED VERIFIED SKILLS

Life Sciences
Computer Science
Information Technology
Clinical Information Management
Clinical Development
Clinical Data Management Systems
Bioinformatics
Clinical Research
Programming
SAS
SQL
Python
R
Data Analytics
Statistical Concepts
Drug Development
Medical Terminology
GxP
Computer System Validation
Risk-Based Quality Management
Clinical Trial Monitoring

COMPENSATION & REWARDS

Salary: Competitive / Disclosed upon candidate shortlisting
The job posting does not disclose a specific salary range, bonus amount, or fixed compensation figures. Compensation should therefore be evaluated based on Bangalore market levels for clinical data programming and pharmaceutical data-analytics roles at the candidate's experience level. Candidates should confirm base salary, performance incentives, benefits, retirement provisions, insurance, and other Novo Nordisk total-reward components during the recruitment process.

ORGANIZATION CONTEXT & CULTURE

Novo Nordisk is a global healthcare company with more than 100 years of innovation and leadership in diabetes care. The company is a world leader in diabetes treatment, as well as obesity, rare blood and endocrine disorders. Its core activities involve the discovery, development, manufacturing, and marketing of pharmaceutical products.

TEAM SIZE: 64,000+ employees
INDUSTRY: Pharmaceuticals / Healthcare

EXPECTED CAREER ROADMAP

This Associate Functional Programmer role provides a strong pathway into clinical data programming, clinical data management, clinical trial analytics, risk-based quality management, and clinical reporting. Experience with SAS, SQL, Python, R, BI platforms, clinical data systems, validation, and RBQM can support progression toward Functional Programmer, Senior Functional Programmer, Clinical Data Programmer, Clinical Data Management, Clinical Trial Analytics, RBQM specialist, or technical leadership roles. Exposure to global clinical operations and international stakeholders can also support longer-term progression into global clinical technology, data science, reporting architecture, or clinical development leadership.

APPLICATION ADVISORY

Highlight a Bachelor's or Master's degree in Life Sciences, Computer Science, IT, Clinical Information Management, or a related field. Clearly demonstrate pharmaceutical or clinical research experience, especially clinical data management systems, bioinformatics, or Clinical Research Associate exposure. Put SAS, SQL, Python, or R proficiency prominently on the resume and provide practical examples of data analysis or programming work. Highlight experience with clinical trial data, RBQM, report development, data integration, validation documentation, peer review, protocol deviations, data-cleaning activities, and stakeholder requirements. Familiarity with CMP, Qlik Sense, JMP, Power BI, Databricks, or similar analytics platforms should also be emphasized where applicable. Prepare for interviews involving clinical-trial workflows, GxP, computer system validation, basic medical terminology, statistical concepts, programming logic, data-quality challenges, and translating stakeholder requirements into reporting specifications.

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