1,931 Data Integrity jobs in India

Data Validation Intern: Job Description Key Responsibilities:Gathering, collating, and preparing documents, materials, and information.Research and obtain further information for incomplete documentsMonitoring and reviewing databases for accuracy and correcting errors or inconsistencies. Requirements:Should be tech familiar and have basic knowledge of MS Office and ExcelUnderstandable Verbal and Written communication.Should not be student.Work from Office only

**Job Type**: Internship

**Salary**: ₹12,000.00 - ₹15,000.00 per month

Schedule:

- Day shift

Ability to Commute:

- Salt Lake, Kolkata, West Bengal (required)

Ability to Relocate:

- Salt Lake, Kolkata, West Bengal: Relocate before starting work (required)

Work Location: In person

**Speak with the employer**

Summary:
Roles and Responsibilities:

- Individuals will need excellent technical abilities to work as a data validation specialist
- Need be organized in terms of Data.
- Need to validate doctor though various Chanel
- Calls would required.
- Need to Cross Verify data with 100% Accuracy

Qualifications:

- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 0-1 years/level experience in data analysis or business intelligence.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and ability to work with large datasets.
- Strong communication and presentation skills.
- Ability to work independently and in a team-oriented environment.
- Prior experience in the healthcare industry is a plus.

Join our dynamic team and contribute to the success of our organization by transforming complex data into actionable insights.

Data Validation Intern needs to search data from google if needed then call.

**Summary**:
**Roles and Responsibilities**:

- Individuals will need excellent technical abilities to work as a data validation specialist
- Need be organized in terms of Data.
- Need to validate doctor though various Chanel
- Calls would required.
- Need to Cross Verify data with 100% Accuracy

**Qualifications**:

- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 0-1 years/level experience in data analysis or business intelligence.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and ability to work with large datasets.
- Strong communication and presentation skills.
- Ability to work independently and in a team-oriented environment.
- Prior experience in the healthcare industry is a plus.

Join our dynamic team and contribute to the success of our organization by transforming complex data into actionable insights.

Data Validation Intern needs to search data from google if needed then call.

**Job title** : **_Data Validation Team Member_**
+ _Hiring Manager:_ **_Project Lead-ESR & Grants_**
+ _Location:_ **_Hyderabad_**
+ _% of travel expected:_ **_Travel required as per business need_**
+ _Job type:_ **_Permanent and Full time_**
About the job
**Our Team:**
_Sanofi Business Operations (SBO) is an internal Sanofi resource organization based in India and is setup to centralize_ processes _and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions_ __ _. Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations_ __ _in Sanofi, globally._
_The Sanofi Business Operations is built to reduce reliance on external service providers and facilitate the development of internal expertise. The Sanofi Business Operations will leverage an untapped combination of talent pool._
**Main responsibilities:**
Sanofi is seeking a dedicated and detail-oriented Data Validation Team Member to join our team. The successful candidate will be responsible for ensuring the accuracy and quality of clinical data through comprehensive validation and quality control processes.
**Key Responsibilities:**
+ System and Data Collection: Understand system and data collection processes, including electronic Case Report Forms (eCRFs) in the Medidata RAVE (EDC) application.
+ Data Verification: Verify data for consistency and identify discrepancies.
+ Query Management: Raise and manage queries to resolve data issues.
+ User Acceptance Testing (UAT): Perform UAT for CRF changes and system updates, document findings, and assist with other tasks as needed.
+ Issue Log Management: Update issue logs with data issues and resolutions.
+ Metrics Creation: Create form entry and query metrics.
+ Metrics Tracking: Track eCRF review and backlog metrics.
+ Data Review: Review data listings produced in SAS, ad-hoc reporting, and scanned reports for accuracy.
+ Quality Control: Ensure quality control of all activities in-scope, as discussed and required by Sanofi.
+ Reconciliation: Perform data reconciliation to ensure data integrity.
+ Guideline Input: Provide input to Data Review Guidelines (DRG) and Quality Management & Control Plan.
+ Documentation: Draft project documents on an ad-hoc basis.
+ Training Facilitation: Facilitate training for new team members and create test cases.
+ **People:** (1) Seek alignment with internal stakeholders, and appropriate prioritization of Registry study data management activities, and compliance with approved processes; (2) Support team initiatives and objectives, identify and recommend process improvements and initiatives, and participate in company initiatives with the primary objective of adding value to the business
+ **Performance:** (1) Ensure that the data validation methods produce accurate and reliable results (2) Identify sources of data validity problems and implementing data-driven quality improvement processes; (3) Ensure operational excellence and compliance readiness.
+ **Process:** (1) Understand system and data collection processes, including electronic Case Report Forms (eCRFs) in the Medidata RAVE (EDC) application. (2) Verify data for consistency and identify discrepancies. (3) Raise and manage queries to resolve data issues. (4) Perform UAT for CRF changes and system updates, document findings, and assist with other tasks as needed. (5) Update issue logs with data issues and resolutions. (6) Create form entry and query metrics. (7) Track eCRF review and backlog metrics. (8) Review data listings produced in SAS, ad-hoc reporting, and scanned reports for accuracy. (9) Ensure quality control of all activities in-scope, as discussed, and required by Sanofi. (10) Perform data reconciliation to ensure data integrity. (11) Provide input to Data Review Guidelines (DRG) and Quality Management & Control Plan. (12) Draft project documents on an ad-hoc basis. (13) Facilitate training for new team members and create test cases.
+ **Stakeholder:** (1) Commit to Customers - Understand, meet, and excel internal and external customer expectations to create positive impact through the evolution of the Registry Data management function. (2) Cooperate Transversally - Collaborate effectively with peers, stakeholders, and partners across the organization to positively impact Registry study data management efficiency and execution.
About you
+ **Experience** : 3+ years of Experience with Medidata RAVE (EDC) application and SAS. Strong attention to detail and analytical skills. Excellent communication and documentation skills. Ability to work independently and as part of a team. Previous experience in a similar role within the pharmaceutical or clinical research industry. Familiarity with regulatory requirements and guidelines for clinical data management.
+ **Soft skills** : Excellent written and oral communication skills. Excellent organizational and project management skills, and ability to meet deadlines and stakeholder management. Ability to maintain confidentiality of data and information during interactions with staff at all levels and across studies and sponsors. Previous experience in a similar role within the pharmaceutical or clinical research industry. Familiarity with regulatory requirements and guidelines for clinical data management.
+ **Technical skills** : Proficiency in data management tools and software (e.g., SQL, SAS, R, Python) Understanding of data cleaning, transformation, and validation techniques. Familiarity with clinical data standards such as CDISC (Clinical Data Interchange Standards Consortium) and HL7 (Health Level Seven International). Knowledge of regulatory requirements and guidelines from bodies like the FDA and EMA.
+ **Education** : Degree in a scientific discipline or a related Life science degree with substantial experiences with data management of clinical trials. Efficiently managing multiple tasks and deadlines. Meticulous in reviewing data to ensure accuracy and completeness.
+ **Languages** : High Proficiency in written and spoken English.
Pursue progress, discover extraordinary.
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (

Job Description- Software QA Analyst 1

Experience Level: 1–3 Years

Location: Bengaluru (Hybrid/Onsite as applicable).

Mode of interview -First round -Virtual, Final round F2F

Skill

Experience

Rating/5

Python

SQL

Automation scripting

Data Exploraion & Validation

ETL validation(knowledge)

Team: Automation & Data Validation

Primary Skills (Must-Have):

• Python : Strong scripting skills for automation, data manipulation, and validation.
• SQL : Proficient in writing queries for data extraction, joins, and aggregations.
• Data Exploration & Validation : Ability to analyze, clean, and standardize data into correct formats.

Secondary Skills (Good-to-Have):

• ETL Concepts : Understanding of data pipelines, transformations, and validation techniques.
• Database Concepts : Familiarity with relational databases, schemas, and data modeling.
• Data Formatting & Standardization : Experience in converting raw data into structured formats.

Key Responsibilities:

• Develop and maintain automation scripts using Python for data validation and transformation.
• Perform ETL data validation across multiple data sources and formats.
• Conduct data exploration and profiling to identify anomalies, trends, and inconsistencies.
• Standardize and format raw data into clean, structured outputs.
• Collaborate with data engineers and QA teams to ensure data quality and integrity.
• Write and optimize SQL queries for data extraction and validation.
• Document automation workflows and validation logic clearly.

Job Description- Software QA Analyst 1

Experience Level: 1–3 Years

Location: Bengaluru (Hybrid/Onsite as applicable).

Mode of interview -First round -Virtual, Final round F2F

Skill

Experience

Rating/5

Python

SQL

Automation scripting

Data Exploraion & Validation

ETL validation(knowledge)

Team: Automation & Data Validation

Primary Skills (Must-Have):

• Python : Strong scripting skills for automation, data manipulation, and validation.
• SQL : Proficient in writing queries for data extraction, joins, and aggregations.
• Data Exploration & Validation : Ability to analyze, clean, and standardize data into correct formats.

Secondary Skills (Good-to-Have):

• ETL Concepts : Understanding of data pipelines, transformations, and validation techniques.
• Database Concepts : Familiarity with relational databases, schemas, and data modeling.
• Data Formatting & Standardization : Experience in converting raw data into structured formats.

Key Responsibilities:

• Develop and maintain automation scripts using Python for data validation and transformation.
• Perform ETL data validation across multiple data sources and formats.
• Conduct data exploration and profiling to identify anomalies, trends, and inconsistencies.
• Standardize and format raw data into clean, structured outputs.
• Collaborate with data engineers and QA teams to ensure data quality and integrity.
• Write and optimize SQL queries for data extraction and validation.
• Document automation workflows and validation logic clearly.

Job Description- Software QA Analyst 1

Experience Level: 1–3 Years

Location: Bengaluru (Hybrid/Onsite as applicable).

Mode of interview -First round -Virtual, Final round F2F

Skill

Experience

Rating/5

Python

SQL

Automation scripting

Data Exploraion & Validation

ETL validation(knowledge)

Team: Automation & Data Validation

Primary Skills (Must-Have):

• Python : Strong scripting skills for automation, data manipulation, and validation.
• SQL : Proficient in writing queries for data extraction, joins, and aggregations.
• Data Exploration & Validation : Ability to analyze, clean, and standardize data into correct formats.

Secondary Skills (Good-to-Have):

• ETL Concepts : Understanding of data pipelines, transformations, and validation techniques.
• Database Concepts : Familiarity with relational databases, schemas, and data modeling.
• Data Formatting & Standardization : Experience in converting raw data into structured formats.

Key Responsibilities:

• Develop and maintain automation scripts using Python for data validation and transformation.
• Perform ETL data validation across multiple data sources and formats.
• Conduct data exploration and profiling to identify anomalies, trends, and inconsistencies.
• Standardize and format raw data into clean, structured outputs.
• Collaborate with data engineers and QA teams to ensure data quality and integrity.
• Write and optimize SQL queries for data extraction and validation.
• Document automation workflows and validation logic clearly.

Job title :

About the job

Our Team:

processes

Main responsibilities:

Sanofi is seeking a dedicated and detail-oriented Data Validation Team Member to join our team. The successful candidate will be responsible for ensuring the accuracy and quality of clinical data through comprehensive validation and quality control processes.

Key Responsibilities:

System and Data Collection: Understand system and data collection processes, including electronic Case Report Forms (eCRFs) in the Medidata RAVE (EDC) application.

Data Verification: Verify data for consistency and identify discrepancies.

Query Management: Raise and manage queries to resolve data issues.

User Acceptance Testing (UAT): Perform UAT for CRF changes and system updates, document findings, and assist with other tasks as needed.

Issue Log Management: Update issue logs with data issues and resolutions.

Metrics Creation: Create form entry and query metrics.

Metrics Tracking: Track eCRF review and backlog metrics.

Data Review: Review data listings produced in SAS, ad-hoc reporting, and scanned reports for accuracy.

Quality Control: Ensure quality control of all activities in-scope, as discussed and required by Sanofi.

Reconciliation: Perform data reconciliation to ensure data integrity.

Guideline Input: Provide input to Data Review Guidelines (DRG) and Quality Management & Control Plan.

Documentation: Draft project documents on an ad-hoc basis.

Training Facilitation: Facilitate training for new team members and create test cases.

People: (1) Seek alignment with internal stakeholders, and appropriate prioritization of Registry study data management activities, and compliance with approved processes; (2) Support team initiatives and objectives, identify and recommend process improvements and initiatives, and participate in company initiatives with the primary objective of adding value to the business

Performance: (1) Ensure that the data validation methods produce accurate and reliable results (2) Identify sources of data validity problems and implementing data-driven quality improvement processes; (3) Ensure operational excellence and compliance readiness.

Process: (1) Understand system and data collection processes, including electronic Case Report Forms (eCRFs) in the Medidata RAVE (EDC) application. (2) Verify data for consistency and identify discrepancies. (3) Raise and manage queries to resolve data issues. (4) Perform UAT for CRF changes and system updates, document findings, and assist with other tasks as needed. (5) Update issue logs with data issues and resolutions. (6) Create form entry and query metrics. (7) Track eCRF review and backlog metrics. (8) Review data listings produced in SAS, ad-hoc reporting, and scanned reports for accuracy. (9) Ensure quality control of all activities in-scope, as discussed, and required by Sanofi. (10) Perform data reconciliation to ensure data integrity. (11) Provide input to Data Review Guidelines (DRG) and Quality Management & Control Plan. (12) Draft project documents on an ad-hoc basis. (13) Facilitate training for new team members and create test cases.

Stakeholder: (1) Commit to Customers – Understand, meet, and excel internal and external customer expectations to create positive impact through the evolution of the Registry Data management function. (2) Cooperate Transversally – Collaborate effectively with peers, stakeholders, and partners across the organization to positively impact Registry study data management efficiency and execution.

About you

Experience : 3+ years of Experience with Medidata RAVE (EDC) application and SAS. Strong attention to detail and analytical skills. Excellent communication and documentation skills. Ability to work independently and as part of a team. Previous experience in a similar role within the pharmaceutical or clinical research industry. Familiarity with regulatory requirements and guidelines for clinical data management.

Soft skills : Excellent written and oral communication skills. Excellent organizational and project management skills, and ability to meet deadlines and stakeholder management. Ability to maintain confidentiality of data and information during interactions with staff at all levels and across studies and sponsors. Previous experience in a similar role within the pharmaceutical or clinical research industry. Familiarity with regulatory requirements and guidelines for clinical data management.

Technical skills : Proficiency in data management tools and software (e.g., SQL, SAS, R, Python) Understanding of data cleaning, transformation, and validation techniques. Familiarity with clinical data standards such as CDISC (Clinical Data Interchange Standards Consortium) and HL7 (Health Level Seven International). Knowledge of regulatory requirements and guidelines from bodies like the FDA and EMA.

Education : Degree in a scientific discipline or a related Life science degree with substantial experiences with data management of clinical trials. Efficiently managing multiple tasks and deadlines. Meticulous in reviewing data to ensure accuracy and completeness.

Languages : High Proficiency in written and spoken English.

Pursue progress, discover extraordinary.

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Watch our and check out our Diversity Equity and Inclusion actions at !

Pursue , discover

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our and check out our Diversity Equity and Inclusion actions at !