20 Clinical Data Programmer Sas Elluminate jobs in Gandhinagar

• Assist in the collection, cleaning, and pre-processing of large datasets from various sources.
• Perform data analysis using statistical techniques to identify trends, patterns, and insights.
• Develop and maintain reports and dashboards to visualize data and present findings.
• Support the development and testing of predictive models and algorithms under supervision.
• Collaborate with data scientists and analysts on ongoing projects.
• Contribute to data quality assurance processes and ensure data integrity.
• Learn and apply various data analysis tools and software (e.g., Python, R, SQL, Tableau, Power BI).
• Document methodologies, processes, and findings accurately.
• Participate in team meetings and present insights derived from data analysis.
• Assist in identifying areas for process improvement related to data management and analysis.
• Gain hands-on experience with different types of data structures and databases.
• Understand and adhere to data privacy and security policies.
• Support ad-hoc data requests from different departments.
• Assist in the preparation of presentations and summaries for stakeholders.
• Engage in continuous learning to expand knowledge of data science and analytics.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Foundational knowledge of statistical concepts and methods.
• Familiarity with at least one programming language commonly used in data analysis (e.g., Python, R).
• Basic understanding of SQL for data querying.
• Eagerness to learn and adapt to new technologies and tools.
• Excellent communication and interpersonal skills, with the ability to work effectively in a remote team.
• Strong organizational skills and attention to detail.
• Ability to work independently and manage time effectively.
• A proactive attitude and a passion for data.
• Prior internship or project experience in data analysis is a plus.

• Assisting in the collection, organization, and cleaning of large datasets.
• Performing data analysis using statistical software and programming languages (e.g., Python, R, SQL).
• Developing data visualizations to communicate findings effectively.
• Supporting senior analysts in building predictive models and conducting research.
• Learning and applying various data mining and machine learning techniques.
• Contributing to the preparation of reports and presentations for stakeholders.
• Identifying trends, patterns, and insights within the data.
• Collaborating with team members on data-related projects.
• Ensuring data accuracy and integrity.
• Assisting in the development of data quality checks.
• Learning new tools and technologies as required.
• Documenting methodologies and processes used in data analysis.
• Participating in team meetings and knowledge-sharing sessions.
• Providing support for ad-hoc data requests.
• Developing a strong understanding of business context for data analysis.

• Analyze agricultural data (soil, weather, imagery, yield) to provide data-driven agronomic recommendations.
• Develop and implement customized crop management plans for various crops and farming systems.
• Advise farmers on best practices for planting, fertilization, irrigation, pest and disease management, and harvesting.
• Conduct field research, including trial design, data collection, and analysis.
• Evaluate and recommend new agricultural technologies, equipment, and inputs.
• Assist in the development and refinement of precision agriculture tools and platforms.
• Provide training and support to farmers on adopting new technologies and practices.
• Monitor crop health and identify potential issues, proposing timely interventions.
• Stay current with advancements in agronomy, crop science, and agricultural technology.
• Contribute to technical publications and presentations.

• Master's degree or Ph.D. in Agronomy, Crop Science, Soil Science, or a related agricultural field.
• Minimum of 6 years of experience in agronomy, crop consulting, or agricultural research.
• Strong understanding of crop physiology, soil science, and plant nutrition.
• Proficiency in data analysis using statistical software (e.g., R, SAS) and agricultural data platforms.
• Experience with precision agriculture technologies (GPS, GIS, sensors, drones) is highly desirable.
• Excellent communication, presentation, and interpersonal skills for client interaction.
• Ability to interpret complex data and provide practical, actionable recommendations.
• Willingness to travel to client farms and research sites as needed.
• Valid driver's license and a clean driving record.

• Conduct site visits to assess protocol and regulatory compliance and identify potential risks.
• Perform source data verification (SDV) and ensure accurate and timely collection of clinical data.
• Monitor patient recruitment and retention efforts at investigational sites.
• Ensure all study-related documentation is maintained accurately and efficiently.
• Train and support study site personnel on study-related procedures and protocols.
• Report adverse events and serious adverse events according to regulatory requirements.
• Communicate effectively with investigators, study coordinators, and internal study teams.
• Manage study timelines and ensure the timely completion of trial milestones.
• Prepare site monitoring reports and follow up on action items.
• Contribute to the overall success of clinical trials within the **Ahmedabad, Gujarat, IN** pharmaceutical landscape.

• Bachelor's degree in a life science, nursing, pharmacy, or a related field.
• Minimum of 3-5 years of experience as a Clinical Research Associate or in a similar clinical trial management role.
• In-depth knowledge of ICH-GCP guidelines and other relevant regulatory requirements.
• Experience in performing site monitoring visits and data verification.
• Strong understanding of clinical trial phases and processes.
• Excellent written and verbal communication skills.
• Proficiency in using clinical trial management systems (CTMS) and electronic data capture (EDC) systems.
• Ability to travel frequently to investigational sites within the designated region.
• Strong organizational skills and attention to detail.
• A commitment to patient safety and data integrity in clinical research conducted in **Ahmedabad, Gujarat, IN**.

Responsibilities :

• Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools.
• Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance.
• Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
• Perform holistic data review and trending analysis via reporting and elluminate® analytics to proactively identify issue, risks and develop mitigation strategies.
• Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data.
• Monitor and interpret key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports to provide actionable recommendations to study lead(s)/project manager.
• Perform Query Management.
• Define specifications and collaborate with technical team on configuration of centralized data management platform, elluminate® Data Central for data cleaning strategy and oversight activities.
• Prepare and maintain data management documentation (e.g., DMP, CCGs, Help Text, DVS) and update throughout trial lifecycle.
• Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and elluminate® Data Central with analytics modules. Actively evaluate and contribute to enhance processes to increase efficiency and effectiveness.
• Collaborate and work as a team to ensure the deliverables are completed on time with high quality.
• Ensure compliance with industry quality standards, regulations, guidelines, and procedures.
• Other duties as assigned.

Responsibilities :

• Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools.
• Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance.
• Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
• Perform holistic data review and trending analysis via reporting and elluminate® analytics to proactively identify issue, risks and develop mitigation strategies.
• Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data.
• Monitor and interpret key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports to provide actionable recommendations to study lead(s)/project manager.
• Perform Query Management.
• Define specifications and collaborate with technical team on configuration of centralized data management platform, elluminate® Data Central for data cleaning strategy and oversight activities.
• Prepare and maintain data management documentation (e.g., DMP, CCGs, Help Text, DVS) and update throughout trial lifecycle.
• Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and elluminate® Data Central with analytics modules. Actively evaluate and contribute to enhance processes to increase efficiency and effectiveness.
• Collaborate and work as a team to ensure the deliverables are completed on time with high quality.
• Ensure compliance with industry quality standards, regulations, guidelines, and procedures.
• Other duties as assigned.

Responsibilities :

• Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools.
• Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance.
• Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
• Perform holistic data review and trending analysis via reporting and elluminate® analytics to proactively identify issue, risks and develop mitigation strategies.
• Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data.
• Monitor and interpret key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports to provide actionable recommendations to study lead(s)/project manager.
• Perform Query Management.
• Define specifications and collaborate with technical team on configuration of centralized data management platform, elluminate® Data Central for data cleaning strategy and oversight activities.
• Prepare and maintain data management documentation (e.g., DMP, CCGs, Help Text, DVS) and update throughout trial lifecycle.
• Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and elluminate® Data Central with analytics modules. Actively evaluate and contribute to enhance processes to increase efficiency and effectiveness.
• Collaborate and work as a team to ensure the deliverables are completed on time with high quality.
• Ensure compliance with industry quality standards, regulations, guidelines, and procedures.
• Other duties as assigned.

Responsibilities :

• Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools.
• Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance.
• Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
• Perform holistic data review and trending analysis via reporting and elluminate® analytics to proactively identify issue, risks and develop mitigation strategies.
• Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data.
• Monitor and interpret key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports to provide actionable recommendations to study lead(s)/project manager.
• Perform Query Management.
• Define specifications and collaborate with technical team on configuration of centralized data management platform, elluminate® Data Central for data cleaning strategy and oversight activities.
• Prepare and maintain data management documentation (e.g., DMP, CCGs, Help Text, DVS) and update throughout trial lifecycle.
• Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and elluminate® Data Central with analytics modules. Actively evaluate and contribute to enhance processes to increase efficiency and effectiveness.
• Collaborate and work as a team to ensure the deliverables are completed on time with high quality.
• Ensure compliance with industry quality standards, regulations, guidelines, and procedures.
• Other duties as assigned.

We’re Hiring–ROLE: Lead Data Science Programmer

● Location: Candidates based in Bangalore, Chennai, or Trivandrum are required

to work onsite. Candidates outside these locations may opt for remote work.

● Illuminate, Spotfire and Power BI (Visualization) experience, 1st priority Python

Coding_Python libraries (Pandas and NumPy)

● SDTM added advantage

● Go for Immediate Joiners, 60 days notice acceptable (Special scenario based on

interview)

The ideal candidate will have

● over 7 years of experience working within Data Warehouse platforms(Must) in

a regulated industry,

● specifically within a clinical trial environment (IDAR). This role demands a deep

understanding of

● data visualization tools (Must), scripting languages(MUST), and SDTM data

structures (Preferred), along with the ability to work independently on complex

assignments.

What you will be doing:

● The service holder will be responsible to function in a continuous improvement

framework with

● respect to systems deployment, life cycle management and enhancements

supported user groups.

● The Analyst will contribute to initiatives to yield faster and more effective report

development,

● efficient change management services for analytics platforms.

● The Analyst will have technical expertise with clinical data and report building,

and experience

● gained through working with diverse and complex business processes and

associated system

● infrastructures.

● The Analyst is required to work in a matrix environment across functions and

departments

You are:

● More than 7+ years’ experience as a Business Analyst, working within Data

Warehouse platforms in a regulated industry within a clinical trial environment

(IDAR)

● In depth knowledge of Tibco Spotfire or other equivalent visualization

development tool

● In depth knowledge of Python (Python Coding is must), R, SAS and similar

scripting languages

● Experience of SDTM data structure (for IDAR)

● Knowledge to gather requirements and writing user requirement documentation

● Ability to work independently on assignments of moderate to high complexity

without support

If you or someone you know fits this role, apply directly through the job post or share your resume at