2,290 clinical data coordinator jobs in India.

... industries, including 19 of the top 20 Pharma companies and 9 of the 10 top MedTech companies. More information is available at Job Description The Role The Data Solutions Coordinator on the Regulatory Intelligence team at Redica Systems monitors global regulatory developments across 150+ countries. Responsibilities include ...

Full time Contract work

... Suppliers and Distributors. We are building a team of Data Associates in Ahmedabad, India who will be managing data clean up and tagging for this platform. As a Data associate you will play a crucial role in machine learning and AI development by labeling, categorizing, and enriching raw data such as images, text, audio or ...

Job Title: Data Engineer - ML Training Data Pipeline Notice period: 0-30 Days Experience : 5+ Years Location: Hyderabad OR Pune We are looking for Data Engineer - ML Training Data Pipeline who can Build and maintain the data pipeline that transforms raw production traces into high-quality training datasets for LLM fine-tuning-ingestion, ...

... experience executing data conversions and migrations into Workday environments - Mandatory Certification: Workday Certified Core HCM along with demonstrable advanced data migration utilities training records Job Summary We are seeking an experienced Workday Data Conversion / Data Migration Specialist to lead the technical extraction, ...

... call support days: 12:30pm-9:30pm Requirements • Minimum 3 yrs exp. in Data and production support hands on skill, handling incidents • Python - Must have • Databricks - Must have • Unity Catalog - Must have • ADLS - Must have • Spark - Must have • Job Orchestration (Airflow) - Must have • Data pipeline Architecture and ...

... data refresh as per required frequencies. SQL & Data Handling - Write and optimize SQL queries for data extraction, transformation, and validation - Perform data validation and quality checks to ensure accuracy and integrity - Collaborate with IT/data engineering teams for data availability and access Stakeholder Engagement ...

... right to request access to your personal data, to request that your personal data be rectified or erased, and to request that the processing of your personal data be restricted. If you have any concerns or questions about the way Headout handle your data, you can contact our Data Protection Officer for more information.

... dashboards and reporting on portfolio health, disbursements, collections, and unit economics.- Write and optimize SQL against our loan, application, and payments data.- Analyse borrower behavior, delinquency, and repayment trends to inform credit policy.- Run funnel and acquisition analysis with the growth team using Google ...

... Must to have : SAS Good to have: Phyton · Maps data fields from source systems to the data model, ensuring data consistency and integrity. · Analyze customer data to identify trends and patterns, providing actionable insights. · Gather, clean, and preprocess customer data from various sources. · Use data analysis tools ...

... don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role: - Degree in Computer Science, Data Analytics, or a related field - 4+ years of experience in Data Analysis, Master Data Management, or Reporting - Strong expertise in data analysis, reporting, ...

... strong Data Analyst background with the ability to work with Excel, SQL, web-scraped data, and databases , while also being comfortable supporting basic cloud database, software, and data-related troubleshooting activities . Since the application relies heavily on accurate data, the candidate should be able to identify data-related ...

... Own features throughout the complete lifecycle, from technical design and development through testing, deployment, and production support. - Design efficient database schemas and queries for relational databases such as MySQL and PostgreSQL . - Apply principles of loose coupling, service encapsulation, scalability, and ...

... automation outputs with visualization tools or downstream systems. Required Skills and Experience ● 2–4 years of experience as a Data Analyst, Data Scientist, or Data Engineer. ● Proven expertise in Python (Pandas, NumPy, SQLAlchemy, etc.) and SQL (MySQL, PostgreSQL, or Snowflake). ● Experience in workflow automation, data ...

... What You'll Do (Key Responsibilities) Deep-Dive Data Analytics: Write and optimize complex, advanced SQL queries to extract, manipulate, and analyze massive datasets related to customer behavior, point redemptions, and campaign performance. Data Validation & Quality Assurance: Take ownership of data accuracy. You will ...

... responsibilities Mission Prepare, check, and validate the data required for testing, migration, and the deployment of SAP S/4HANA. Responsibilities . Create Golden Data and test datasets. . Check data quality and consistency. . Perform integration testing and support user acceptance testing. . Identify and track data issues. ...

Sapphire IQ is looking for motivated individuals to join our Data Analytics Internship Program . This remote internship provides practical exposure through real industry-based projects, hands-on assignments, and mentorship . As a Data Analytics Intern, you will work with datasets, analyse and interpret data, create dashboards, ...

... development and expert-level SQL for complex data manipulation and analysis. - Data Engineering & Modeling: Strong hands-on experience with dbt (Data Build Tool) for data transformation and a solid understanding of Big Data frameworks. - Architecture Mastery: Fluency in general data architecture principles, including data modeling, ...

... learning, statistical modeling, and process-mining algorithms to large, multi-source enterprise datasets. - Strong programming proficiency in Python, SQL, and data-modeling techniques for event data. - Experience in process data model design, development, and deployment, including creation of reusable data schemas and pipelines ...

... scalable data processing workflows using Apache Spark and Python. - Ensure data quality, consistency, validation, and availability for ML pipelines. - Optimize data storage, processing, and retrieval to improve ML inference performance. - Work with structured and unstructured datasets and support large-scale data processing. ...