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    Professional Excellence Program in Clinical Research (PEP-CR)

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    PEP-CR Certification equips individuals with the skills and knowledge to conduct clinical trials and research ethically and effectively. It covers topics like study design, data management, regulatory compliance, and patient safety. This certification is essential for careers in clinical research coordination, data management, and regulatory affairs. It enhances career prospects in pharmaceutical companies, research institutions, and healthcare organizations.

    Schedule: 5 Days a Week (Monday to Friday)

    4 Months

    Professional Excellence Program in Clinical Research (PEP-CR)

    Duration : 4 Month

    Schedule: 5 Days a Week (Monday to Friday)

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    Program Insight

    Medical Coding

    Medical coding is a critical process in healthcare that involves transforming patient information, such as diagnoses, procedures, medical services, and equipment, into standardized codes. These codes, derived from systems like ICD-10, CPT, and HCPCS, are used for billing, insurance claims, and maintaining accurate patient records. Medical coders ensure that the codes are applied correctly during the medical billing process, which helps in streamlining the reimbursement process, reducing billing errors, and improving overall healthcare management. Accurate medical coding is essential for regulatory compliance, statistical analysis, and efficient healthcare delivery, making it a vital aspect of the healthcare system.

    Clinical Data Management

    The Clinical Data Management Certification Program focuses on training professionals in the efficient collection, processing, and analysis of clinical trial data. The curriculum covers data standards, database design, data cleaning, quality control, and regulatory compliance. Participants gain proficiency in using specialized software and tools to ensure accurate and reliable data. Successful graduates are well-equipped for roles such as Clinical Data Manager, Data Analyst, or Clinical Research Coordinator. The program enhances career opportunities by providing the skills needed to manage clinical data effectively, ensuring high-quality data for regulatory submissions and supporting the advancement of medical research and development.

    Pharmacovigilance

    The Pharmacovigilance Certification Program provides comprehensive training in monitoring and assessing the safety of pharmaceutical products. The program covers adverse event reporting, risk management, regulatory requirements, signal detection, and post-market surveillance. Participants learn to identify, evaluate, and mitigate drug safety risks, ensuring patient safety and compliance with global regulations. Successful completion of the program prepares graduates for roles such as Pharmacovigilance Specialist, Drug Safety Associate, or Risk Management Analyst. Graduates are equipped with the knowledge and skills to manage drug safety data, contribute to regulatory submissions, and enhance the overall safety profile of pharmaceutical products in the market.

    Hands On Software training

    Hands-on database training offers participants immersive learning experiences with direct interaction with database systems. Through practical exercises, real-world scenarios, and guided instruction, learners gain comprehensive understanding and proficiency in database design, querying, and management. Participants engage in tasks such as creating databases, designing schemas, writing SQL queries, and optimizing database performance. This interactive approach fosters active learning, problem-solving skills, and confidence in database usage. With a focus on practical application, participants develop skills relevant to roles in data management, analytics, software development, and information technology, preparing them for real-world challenges and opportunities in the rapidly evolving field of database management.

    Eligibility

    B.Pharm, M.Pharm and Pharm.D

    B.Sc. M.Sc and Ph.D (Biotechnology, Microbiology, Biochemistry and Nursing etc)

    B.E., B.Tech. M.Tech (Biotech/ Biomedical Engineering)

    BPT, MPT, BDS, BAMS, BHMS and MBBS etc

    Course Syllabus

    Medical Coding

    Introduction to Medical Coding

    Overview of medical coding

    Importance and applications of medical coding

    Healthcare reimbursement process

    Coding ethics and legal considerations

    Medical Terminology

    Basic medical terms and abbreviations

    Anatomy and physiology

    Pathophysiology

    Common medical procedures and diagnostics

    Healthcare Documentation

    Understanding patient medical records

    Types of healthcare documentation

    Electronic health records (EHRs)

    Documentation guidelines for coding

    Coding Systems

    Introduction to ICD, CPT, and HCPCS coding systems

    Structure and format of coding manuals

    ICD-10-CM Coding

    ICD-10-CM code structure and format

    Guidelines for ICD-10-CM coding

    Coding diagnoses using ICD-10-CM

    Case studies and practical exercises

    ICD-10-PCS Coding

    ICD-10-PCS code structure and format

    Guidelines for ICD-10-PCS coding

    Coding procedures using ICD-10-PCS

    Case studies and practical exercises

    CPT Coding

    CPT code structure and format

    Evaluation and Management (E/M) coding

    Surgery, radiology, pathology, and laboratory coding

    Medicine coding

    Case studies and practical exercises

    HCPCS Coding

    HCPCS code structure and format

    Levels I and II of HCPCS

    Coding durable medical equipment (DME) and supplies

    Case studies and practical exercises

    Medical Coding Guidelines and Compliance

    Official coding guidelines for ICD, CPT, and HCPCS

    National Correct Coding Initiative (NCCI) edits

    Coding compliance and audits

    Fraud and abuse prevention

    Billing and Reimbursement

    Overview of the healthcare reimbursement process

    Introduction to medical billing

    Payer types and reimbursement methods (Medicare, Medicaid, private insurance)

    Explanation of Benefits (EOB) and Remittance Advice (RA)

    Advanced Coding Concepts

    Coding complex medical cases

    Use of coding software and tools

    Specialty coding (e.g., cardiology, orthopedics, oncology)

    Introduction to risk adjustment coding

    Practical Applications and Case Studies

    Hands-on coding practice with real-world scenarios

    Coding for different healthcare settings (inpatient, outpatient, physician offices)

    Review of coding case studies and scenarios

    Exam Preparation and Certification

    Overview of certification options (CPC, CCS, CCA, etc.)

    Test-taking strategies and tips

    Clinical Data Management

    Introduction to Clinical Data Management

    Overview of Clinical Data Management

    Role of CDM in Clinical Research

    Introduction to Clinical Trials

    Life Cycle of Clinical Data

    Regulatory Framework and Guidelines

    Good Clinical Practice (GCP)

    International Council for Harmonisation (ICH) Guidelines (E6, E9)

    Regulatory Requirements (FDA, EMA)

    Ethical Considerations and Data Privacy (HIPAA, GDPR)

    Clinical Trial Design and Methodology

    Basics of Clinical Trial Design

    Protocol Development

    Case Report Form (CRF) Design

    Study Endpoints and Outcomes

    Data Collection and CRF Design

    Types of CRFs (Paper-based, Electronic)

    CRF Development and Design Principles

    Source Data Verification

    CRF Completion Guidelines

    Electronic Data Capture (EDC) Systems

    Introduction to EDC Systems

    EDC System Selection and Implementation

    Data Entry and Validation

    Advantages and Challenges of EDC

    Data Management Plan (DMP)

    Components of a DMP

    DMP Development and Maintenance

    Standard Operating Procedures (SOPs)

    Data Flow and Process Mapping

    Database Design and Build

    Database Design Principles

    Database Build and Testing

    Data Standards (CDISC, SDTM, ADaM)

    Metadata and Data Dictionaries

    Data Quality Management

    Data Cleaning and Query Management

    Data Validation and Edit Checks

    Discrepancy Management

    Data Quality Assurance and Control

    Data Integration and Coding

    Data Integration from Multiple Sources

    Medical Coding (MedDRA, WHO-DDE)

    Laboratory Data Management

    Handling Adverse Event Data

    Data Analysis and Reporting

    Basics of Biostatistics

    Data Analysis Plan

    Data Listings, Tables, and Figures (TLFs)

    Statistical Analysis Software (SAS, R)

    Data Lock and Archival

    Database Lock Procedures

    Data Freeze and Lock Timelines

    Archival of Clinical Data

    Regulatory Submissions and Inspections

    Project and Resource Management in CDM

    Project Management Fundamentals

    Resource Allocation and Management

    Timeline and Budget Management

    Communication and Team Coordination

    Emerging Trends and Technologies in CDM

    Big Data and Real-World Evidence

    Artificial Intelligence and Machine Learning in CDM

    Blockchain Technology for Data Security

    Mobile Health and Remote Data Collection

    Discrepancy Management

    Introduction to Discrepancies

    Identifying Discrepancies

    Classification and Prioritization of Discrepancies

    Discrepancy Resolution Process

    Query Management

    Tools and Techniques for Discrepancy Management

    Quality Assurance Studies and Practical Exercises

    Pharmacovigilance

    Introduction to Pharmacovigilance

    Definition and Scope

    History and Evolution of Pharmacovigilance

    Importance and Objectives of Pharmacovigilance

    Key Terminologies (Adverse Drug Reaction (ADR), Adverse Event (AE), Signal Detection, etc.)

    Regulatory Framework and Guidelines

    International Regulatory Bodies (FDA, EMA, MHRA, WHO)

    Good Pharmacovigilance Practices (GVP)

    ICH Guidelines (E2A, E2B, E2C, E2D, E2E)

    Local Regulatory Requirements and Differences

    Adverse Event Reporting and Management

    Identifying Adverse Events and Reactions

    Sources of Safety Data (Clinical Trials, Post-Marketing Surveillance, Literature, etc.)

    Spontaneous Reporting Systems

    Seriousness, Expectedness, and Causality Assessment

    Case Report Form (CRF) and Electronic Reporting (E2B)

    Signal Detection and Risk Management

    Definition and Importance of Signal Detection

    Methods for Signal Detection (Qualitative and Quantitative)

    Data Mining Techniques

    Signal Management Process

    Risk Assessment and Mitigation Strategies (Risk Management Plans, RMPs)

    Data Collection and Data Management

    Data Sources and Data Flow

    Database Management Systems (Safety Databases)

    Data Entry and Quality Control

    Data Coding (MedDRA, WHO-ART)

    Case Processing and Follow-Up

    Periodic Safety Update Reports (PSURs) and Development Safety Update Reports (DSURs)

    Purpose and Content of PSURs and DSURs

    Regulatory Requirements and Timelines

    Writing and Compiling Reports

    Benefit-Risk Evaluation

    Submission and Review Process

    Risk Communication

    Principles of Risk Communication

    Communicating Safety Information to Healthcare Professionals and the Public

    Labeling Changes and Safety Warnings

    Dear Healthcare Professional Letters (DHPLs)

    Public Health Advisories

    Pharmacovigilance Systems and Processes

    Pharmacovigilance System Master File (PSMF)

    Standard Operating Procedures (SOPs)

    Quality Management System in Pharmacovigilance

    Audits and Inspections

    Compliance and CAPA (Corrective and Preventive Actions)

    Pharmacovigilance in Special Populations

    Pharmacovigilance in Pediatrics and Geriatrics

    Pregnancy and Lactation Safety Monitoring

    Pharmacovigilance for Orphan Drugs and Rare Diseases

    Vaccines Safety Monitoring

    Pharmacoepidemiology and Pharmacoeconomics

    Basics of Pharmacoepidemiology

    Study Designs in Pharmacoepidemiology (Cohort, Case-Control, etc.)

    Pharmacoeconomic Evaluations

    Application of Real-World Evidence in Pharmacovigilance

    Emerging Trends and Technologies in Pharmacovigilance

    Use of Artificial Intelligence and Machine Learning

    Big Data and Real-World Data Utilization

    Digital Health and Mobile Technologies

    Social Media and Web-Based Pharmacovigilance

    thical and Legal Considerations in Pharmacovigilance

    Ethical Principles in Pharmacovigilance

    Patient Privacy and Data Protection (HIPAA, GDPR)

    Legal Aspects and Litigation

    Reporting Obligations and Liabilities

    Practical Components

    Case Studies and Real-World Scenarios

    Hands-On Training with Pharmacovigilance Databases (e.g., Argus, ArisG)

    Mock Reporting and Documentation

    Workshops on PSUR and DSUR Preparation

    Hands On database training

    Hands-on database training offers participants immersive learning experiences with direct interaction with database systems. Through practical exercises, real-world scenarios, and guided instruction, learners gain comprehensive understanding and proficiency in database design, querying, and management. Participants engage in tasks such as creating databases, designing schemas, writing SQL queries, and optimizing database performance. This interactive approach fosters active learning, problem-solving skills, and confidence in database usage. With a focus on practical application, participants develop skills relevant to roles in data management, analytics, software development, and information technology, preparing them for real-world challenges and opportunities in the rapidly evolving field of database management.
    CONTACT US

    Call & Enroll over the phone with one of our representatives

    Ring at : +91 7066457703

    222,7510 people are learning on Clini India today…

    Program Features

    Dual Certification- Get dual certification offered by cliniversity and IT company after completion of database training. 

     Hands On database training on software- Experience hands-on database training where participants engage directly with database systems. Through practical exercises, real-world scenarios, and guided instruction, learn database design, querying, and management techniques. Gain valuable skills and confidence in database usage, essential for roles in data management, analytics, and information technology.

    Industry expert mentors  Learn from industry experts in our comprehensive program, where seasoned professionals share their knowledge and insights. Gain hands-on experience, practical skills, and up-to-date information on the latest industry trends. Enhance your expertise and advance your career with guidance from leaders in the field.

    Outcome Based Training (OBT) : Cliniversity is the only institute who offers outcome based training and placement programs. Experience Outcome Based Training, where the focus is on achieving specific, measurable results. Our program is designed to equip you with practical skills and knowledge that directly impact your professional success. Through targeted learning objectives and real-world applications, you’ll achieve tangible outcomes that enhance your career and personal growth.

    24*7 learning through LMS access: A Learning Management System (LMS) streamlines education by providing a centralized platform for course administration, delivery, and tracking. It offers interactive tools, multimedia content, and assessments, enhancing the learning experience. Ideal for both educators and students, an LMS facilitates efficient, flexible, and personalized learning anytime, anywhere.

    Regular exercise & assignments : Regular exercise and assignments are integral to our program, reinforcing learning and promoting practical application. Consistent practice through exercises sharpens skills, while assignments ensure comprehension and retention of material. This structured approach boosts confidence, prepares you for real-world challenges, and enhances overall academic performance.

    Upgraded training Program : Embark on an upgraded training program designed to elevate your skills and expertise. Featuring the latest industry insights, cutting-edge tools, and advanced methodologies, this program offers an unparalleled learning experience. Stay ahead of the curve and unlock new opportunities for professional growth and success with our upgraded training program.

    End to End Placement preparation: Experience comprehensive end-to-end placement preparation, tailored to ensure your readiness for career success. Our program covers every aspect, from resume building and interview techniques to soft skills development. With personalized guidance and extensive resources, we empower you to confidently navigate the job market and secure your ideal placement. Task based mock interviews prepare you perfectly on all aspects. 

    Easy & Affordable: Easy learning and affordable fees with installments option make this program the 1st choice for the aspirants. 

    Certification – Clinical Research Certification

    Our Medical Coding program offers a valuable certification upon completion, recognizing participants for their dedication to mastering essential coding skills. While not an APPC certificate, our program’s participation certificate signifies your commitment to advancing in the field. Gain practical knowledge, boost your resume, and open doors to exciting opportunities in healthcare coding.

    OUR PLACEMENTS

    Career Triumphs: APCRM Graduates Shine Bright in Corporate Placements

    Job Profiles- (Designations and Roles)

    CLINICAL TRIAL MANAGEMENT JOB PROFILES

    Clinical Research Coordinator (CRC):

    1.     Protocol Implementation: Ensure adherence to study protocols and regulatory requirements at the study site.

    2.     Participant Recruitment: Screen and enroll eligible participants according to study criteria.

    3.     Informed Consent: Facilitate the informed consent process, ensuring participants understand the study risks and benefits.

    4.     Data Collection: Collect and record accurate and complete study data, including medical histories and study-specific assessments.

    5.     Study Documentation: Maintain regulatory documentation, including case report forms (CRFs) and investigator site files (ISFs).

    6.     Study Coordination: Coordinate study visits, procedures, and follow-up activities for participants.

    7.     Safety Reporting: Monitor and report adverse events (AEs) and serious adverse events (SAEs) to the appropriate regulatory authorities and study sponsors.

    8.     Quality Assurance: Ensure compliance with Good Clinical Practice (GCP) guidelines and internal standard operating procedures (SOPs).

    9.     Communication: Serve as the primary point of contact between the study site, investigators, sponsors, and regulatory authorities.

    10. Training and Education: Provide training to study staff and investigators on study protocols, procedures, and regulatory requirements.

    Clinical Research Associate (CRA):

    1. Site Monitoring: Conduct routine site visits to ensure protocol compliance, data integrity, and participant safety.

    2. Site Initiation: Perform site initiation visits (SIVs) to train study staff and ensure readiness for study initiation.

    3. Site Closeout: Conduct site closeout visits to ensure all study activities are completed, data is accurate, and regulatory documents are archived appropriately.

    4. Data Verification: Review and verify study data against source documents, ensuring accuracy and completeness.

    5. Query Resolution: Generate and track data queries to resolve discrepancies or missing information in study data.

    6. Regulatory Compliance: Ensure compliance with GCP, regulatory requirements, and study protocols.

    7. Study Documentation: Maintain and update trial master files (TMFs) and other study documentation as per regulatory standards.

    8. Risk Management: Identify and mitigate risks to study quality, participant safety, and data integrity.

    9. Communication: Communicate effectively with study sites, sponsors, and other stakeholders to address study-related issues and ensure timely resolution.

    10. Reporting: Prepare monitoring reports, study progress updates, and other documentation for internal and external stakeholders.

    Principal Investigator (PI): If you are from a medical background then you can work as a Principal Investigator (PI). PI holds the primary responsibility for the conduct of a clinical trial at the investigative site. Their role is pivotal in ensuring the safety of participants, the integrity of data, and compliance with regulatory requirements.

    CLINICAL DATA MANAGEMENT JOB PROFILES

    Clinical Data Manager (CDM):

    • Responsible for overseeing the collection, validation, and analysis of clinical trial data.
    • Develops data management plans and ensures adherence to protocols and regulatory requirements.
    • Manages data cleaning, coding, and database lock processes.
    • Coordinates with study teams, vendors, and stakeholders to ensure data quality and timelines.

    Clinical Database Programmer:

    • Designs, develops, and maintains databases for clinical trial data
    • Implements data validation checks and edit checks to ensure data accuracy and completeness.
    • Generates data listings, tables, and figures (TLFs) for analysis and reporting.
    • Provides technical support for database-related issues and query resolution.

    Clinical Data Coordinator:

    • Supports data management activities, including data entry, verification, and cleaning.
    • Assists in the development of case report forms (CRFs) and data management plans.
    • Performs quality control checks on data and resolves discrepancies.
    • Communicates with study sites and monitors for timely data submission and query resolution.

    Clinical Data Analyst:

    • Analyzes and interprets clinical trial data to identify trends, patterns, and outliers.
    • Conducts statistical analysis and generates summary reports for study teams.
    • Participates in data review meetings and contributes to data interpretation discussions.
    • Assists in the preparation of study manuscripts and presentations.

    Clinical Quality Assurance Specialist:

    • Conducts quality assurance audits to ensure compliance with Good Clinical Practice (GCP) guidelines and regulatory requirements.
    • Reviews study documentation, data management processes, and study conduct for adherence to protocols.
    • Provides recommendations for process improvements and corrective actions.
    • Assists in the preparation for regulatory inspections and audits.

    Principal Investigator (PI)

    • Protocol Development: The PI may contribute to the development of the study protocol, ensuring it aligns with ethical principles, regulatory guidelines, and scientific validity.
    • Study Site Selection: The PI selects and evaluates potential study sites, ensuring they have the necessary infrastructure, resources, and expertise to conduct the trial effectively.
    • Participant Recruitment and Informed Consent: The PI oversees participant recruitment efforts, ensuring adherence to eligibility criteria and ethical standards. They are responsible for obtaining informed consent from participants or ensuring delegated staff members do so.
    • Study Conduct: The PI is responsible for the overall conduct of the study at the investigative site, including oversight of study procedures, participant care, and data collection.
    • Safety Monitoring: The PI monitors participant safety throughout the trial, promptly reporting adverse events (AEs) and serious adverse events (SAEs) to regulatory authorities and the sponsor.
    • Data Collection and Management: The PI ensures accurate and complete collection of study data, including adherence to data entry procedures and timely completion of case report forms (CRFs).
    • Regulatory Compliance: The PI ensures compliance with Good Clinical Practice (GCP) guidelines, local regulations, and institutional policies throughout the trial.
    • Investigational Product Management: If applicable, the PI is responsible for the handling, storage, dispensing, and accountability of investigational products according to protocol requirements.
    • Site Monitoring and Audits: The PI may interact with clinical research associates (CRAs) during site monitoring visits and assist with audits and inspections conducted by regulatory authorities or sponsors.
    • Study Closeout: The PI ensures that all study-related activities are completed according to the protocol and regulatory requirements, facilitating the timely submission of study documents for closeout.

    PHARMACOVIGILANCE JOB PROFILES:

    Pharmacovigilance Specialist:

    • Collects, evaluates, and reports adverse drug reactions (ADRs) and adverse events (AEs) from healthcare professionals, patients, and literature sources.
    • Conducts case processing activities, including data entry, coding, and narrative writing.
    • Performs medical review of individual case safety reports (ICSRs) to assess causality and seriousness.

    Drug Safety Associate:

    • Assists in the collection, processing, and reporting of adverse events and safety data.
    • Conducts initial triage and assessment of ICSRs for completeness and accuracy.
    • Supports medical review activities and assists in signal detection and risk management tasks.

    Pharmacovigilance Manager:

    • Oversees pharmacovigilance operations and staff, ensuring compliance with regulatory requirements and company policies.
    • Manages the processing, assessment, and reporting of adverse events in accordance with global pharmacovigilance regulations.
    • Provides leadership and guidance on pharmacovigilance processes, risk management, and safety surveillance activities.

    Pharmacovigilance Physician:

    • Provides medical expertise in the evaluation and assessment of adverse events and safety signals.
    • Conducts medical review of individual case safety reports (ICSRs) to determine causality, seriousness, and expectedness..
    • Supports risk management activities, including safety assessments, signal detection, and risk minimization strategies.

    Pharmacovigilance Scientist:

    • Conducts signal detection and data analysis activities to identify potential safety concerns and emerging risks.
    • Performs literature review and analysis to gather safety-related information and evidence.
    • Collaborates with cross-functional teams to assess and mitigate safety risks throughout the product lifecycle.

    Regulatory Affairs Specialist:

    • Ensures compliance with pharmacovigilance regulations and guidelines, including reporting requirements and submissions to regulatory authorities.
    • Supports the preparation and submission of periodic safety reports (PSURs), risk management plans (RMPs), and other regulatory documents.
    • Provides regulatory guidance on pharmacovigilance-related issues and assists in regulatory inspections and audits.

    Quality Assurance Specialist:

    • Conducts audits and inspections to evaluate compliance with pharmacovigilance regulations, standard operating procedures (SOPs), and quality standards.
    • Reviews pharmacovigilance processes, procedures, and documentation for adherence to regulatory requirements.
    • Provides recommendations for process improvements and corrective actions to ensure data integrity and patient safety.
    MEET OUR STUDENTS

    Student Testimonials

    Hands-On Training in Pharmacovigilance
    Database

    Case Studies and Practical Approach
    Practical training in medical coding is Important as it bridges the gap between theory and real-world application. Case study bases learning equips aspiring coders with hands-on experience crucial for accuracy and efficiency. It enhances proficiency in code assignment, ensures compliance with evolving guidelines, and fosters a deep understanding of the intricacies within the healthcare landscape. Practical training cultivates problem-solving skills, critical thinking, and adaptability, preparing coders for the dynamic challenges they’ll face in the industry. This experiential learning not only solidifies theoretical knowledge but also instills confidence, making individuals better-prepared and more effective contributors to the essential field of medical coding.

    FAQs

    Whats a Hands On database training means

    Hands on database training means where participants engage directly with database systems. Each candidate receives separate login credentials to practice in the database. Through practical exercises, real-world scenarios, and guided instruction, learn database design, querying, and management techniques.

    What will be the right profile for me to start a career?

    It totally depends on your area of interest. However, all these domains and the good career opportunities and career prospects. We believe that you will automatically understand your area of interest when you start learning.

    Are you providing 100% placements?

    Yes, the program is designed to equip you with the right knowledge and skills to make your professional ready and get you 100 % placements. But, we never guarantee 100% placement as it totally depends on requirements from the industry, how you developed during the certification program and how you perform at the time of interview.

    Can I pay the fees in installments?

    Yes. To know the installment options call on +91-7066457703

    How long will you provide placement assistance?

    You will get lifetime placement assistance.

    What if I miss any session?

    Don’t worry, We are giving you Learning Management System (LMS) access which will be with your 24*7. It streamlines education by providing a centralized platform for course administration, delivery, and tracking. It offers interactive tools, multimedia content, and assessments, enhancing the learning experience. Ideal for both educators and students, an LMS facilitates efficient, flexible, and personalized learning anytime, anywhere.

    Is there any waive off in fees?

    You can check if there is any waive off in fees. Call +91-7066457703

    In which companies do you provide the placements?

    There are multiple industries where you can get placement assistance.

    • IT healthcare – Accenture, TCS, Cognizant, TCMS, Wipro
    • Contract Research Organizations (CRO) – Fortrea, IQVIA, Parexel, Syneos, PPD, Covance, ICON, JSS, JVK, Lambda, SIRO clinpharm,
    • Medical Coding Companies : Optum, Episource, Agilon Health, GEBBS, IKS, Advantmed, Augmedix, CorroHealth
    • Pharmaceutical companies – GSK, Astrazenica, Novo Novartis, Pfizer, Abbott and more
    • Multispeciality Hospitals
    • Medical Writing & Scientific writing companies : Cactus communication, Springer, Elsevier, Crest Premedia

    Welcome to Cliniversity.
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    Ankita
    Admission Coordinator
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