Cognizant Hiring Freshers– Junior Data Analyst in PV/CDM

January 5, 2025

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Cognizant Hiring Freshers– Junior Data Analyst in PV/CDM

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Cognizant is a globally recognized professional services company, helping organizations modernize technology, reimagine processes, and transform customer experiences. With over 345,000 associates worldwide, Cognizant is committed to fostering innovation, diversity, and inclusion. As a leading player in the healthcare and technology sectors, Cognizant empowers its employees to drive positive change and improve patient outcomes.

Job Details :

Position- Junior Data Analyst
Experience -0 YEARS / Freshers – 4 Year
Location -Kolkata
Qualification -B.Pharm, M.Pharm, Pharm.D, Msc, BSc, Lifesciences
salary-₹3L–₹8L per year

Job Highlights :

Work/Life Balance
Time management
challenging projects
Insurance
Quick Learner

Are you passionate about data analysis and eager to contribute to the healthcare industry? Cognizant is looking for a dedicated Trainee – Junior Data Analyst to join their Clinical Data Management (CDM) / Pharmacovigilance (PV) team in Mumbai, India. This is a full-time, hybrid role offering a fantastic opportunity to build your career in data management, generative AI, and pharmacovigilance.

Key Responsibilities :

Data Collection & Processing: Assist in collecting, processing, and analyzing clinical data to ensure accuracy and regulatory compliance.
AI-Driven Efficiency: Utilize Generative AI tools to enhance the efficiency and accuracy of data management.
PV Case Support: Provide timely support for PV case entry and follow-up to ensure smooth case processing.
Collaboration: Work closely with cross-functional teams to gather and interpret data for research and development projects.
Compliance: Stay up-to-date with industry regulations and best practices in pharmacovigilance, ensuring data integrity and confidentiality.
Reporting: Generate detailed reports and summaries of data findings to support decision-making processes.
Audits & Improvements: Participate in audits and continuous improvement initiatives to optimize data management workflows.
Tool Development: Assist in developing and implementing new data management tools and technologies.
Training: Engage in training sessions to stay current with advancements in Generative AI and pharmacovigilance.

Qualifications :

Educational Background: Strong foundation in Generative AI and its applications in data management.
Pharmacovigilance Knowledge: Basic understanding of PV case processing and its significance in the pharmaceutical industry.
Analytical Skills: Strong attention to detail and excellent analytical skills.
Data Tools Proficiency: Experience using data management software and tools.
Communication: Strong verbal and written communication skills to collaborate effectively with the team.
Problem-Solving: Proactive approach to identifying and solving problems.

Certifications Required :

Certification in Generative AI
Certification in Pharmacovigilance is highly desirable

How to Apply :

Interested candidates can apply for the position directly through Cognizant’s job portal or submit their application via relevant job listing platforms. Be prepared to attend interviews in person or via video conference and ensure your government-issued ID is available for verification during the interview process.

Click Here To Apply –Application Link

Interview Tips :

General Preparation Tips

Understand the Job Role:
- Carefully review the job description to understand the specific skills and qualifications required.
- Align your experience, tools, and techniques with the job requirements.
Know the Industry:
- Research the company’s products, services, and recent developments.
- Be familiar with industry trends, regulations, and technologies.
Tailor Your Resume and Examples:
- Prepare examples of your experience related to data analysis, PV, or CDM using the STAR method (Situation, Task, Action, Result).
- Highlight quantitative achievements (e.g., “Reduced data discrepancies by 20% through streamlined processes”).
Prepare for Behavioral Questions:
- Be ready to discuss teamwork, problem-solving, time management, and dealing with challenges.
Review Key Technical Concepts:
- Brush up on the tools and technologies mentioned in the job description (e.g., SQL, Python, SAS, R, Oracle Clinical, Argus Safety).

For Data Analyst Roles

Technical Skills:
- Practice SQL queries, data visualization (e.g., Tableau, Power BI), and programming (e.g., Python, R).
- Be ready to clean, manipulate, and analyze datasets.
Data Interpretation:
- Be prepared to explain how you derive insights from data and how they impact business decisions.
Problem-Solving:
- Expect case studies or scenarios where you must suggest solutions based on data.
Metrics & KPIs:
- Familiarize yourself with common metrics (e.g., ROI, churn rate, patient compliance rates).

For Pharmacovigilance (PV) Roles

Regulations & Guidelines:
- Know the key guidelines (ICH E2E, FDA, EMA, GVP modules).
- Understand adverse event reporting timelines and requirements.
Tools:
- Review PV databases like Argus, ARISg, or VigiFlow.
Case Narratives:
- Practice drafting concise and clear case narratives for adverse event reports.
Risk Management:
- Be ready to discuss signal detection, risk-benefit assessment, and preparing PSURs/PADERs.

For Clinical Data Management (CDM) Roles

Clinical Trial Phases:
- Understand the clinical trial process and the role of CDM at each phase.
Tools & Standards:
- Be familiar with EDC systems like Medidata Rave, Oracle Clinical, or REDCap.
- Know data standards like CDISC, SDTM, and CDASH.
Data Cleaning:
- Be prepared to discuss data cleaning processes and handling discrepancies.
Cross-functional Collaboration:
- Highlight examples of working with other teams like clinical operations or biostatistics.

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