2,023 good data lab jobs in India.

... antibody development and validation programs. · Meticulous experimental planning and execution to meet program goals. · Timely record-keeping of results into data sheets and laboratory notebooks. · Attention to detail and adherence to schedules. · Communicate results clearly—in team meetings, written reports, and data presentations. ...

... experience required Apply By 7 Sep' 26 Posted 1 week ago Fresher Job 788 applicants About the job Key Responsibilities: 1. Enter and update customer/company data in systems and Excel. 2. Maintain accurate records and databases 3. Handle documents, forms, and reports. 4. Organize and maintain digital files. Skill(s) required ...

JOB DESCRIPTION Work Schedule Standard (Mon-Fri) Environmental Conditions Adherence to all Good Manufacturing Practices (GMP) Safety Standards, Cold Room/Freezers -22degreesF/-6degrees C, Laboratory Setting, Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs ...

... visualisations proficient in R or Python proficient in using code to clean data, transform, and aggregate data familiar with version control concepts and tools for collaborative development experience writing SQL and working with relational databases creative and passionate about data, coding, and technology strong collaborator ...

... screens and hit selection - Mentoring and training junior scientists in research, design and experimental execution, interpreting data and data presentation to collaborators and partners - Serve as authority in the field of antibody development to provide inputs and guidance towards driving innovation and cross team collaborations. ...

... 9001:2015. - Good command of Microsoft office, familiarity with QC software / data input systems. - Familiar with QC tool, such as fish-bone chart, Pareto,etc. - Good work attitude and high sensitivity for testing data especially off spec data. - Hard working and keep learning, discipline, positive working attitude, a good ...

... Nice-to-have (These are not strict requirements, but they will shorten the learning curve and improve your match to the role.): Experience working with de-identified datasets, standardized templates, or research protocols. Previous experience in teleradiology, multicenter research, or imaging core lab work. Training and Support ...

... you an all-around data enthusiast with a knack for ETL We're hiring Data Engineers to help build and optimize the foundational architecture of our product's data. We've built a strong data engineering team to date, but have a lot of work ahead of us, Migrating from relational databases to a streaming and big data architecture, ...

... performing first pass for data entry of results as trained. - Assists the lab management team with filing and archiving all data for the laboratory, including data retrieval as required. Maintains all Quality books and binders and prepares new ones annually. - Assists Lab Management and Operations Director with laboratory ...

... Design, develop and operate high performance, large volume data structures for data-powered products and data science. Implement efficient, distributed and scalable pipelines and integrate data from multiple sources to create data products Implement design patterns that support data ingestion, data movement, transformation, ...

... assistants (Copilot, Claude Code, Cursor, ChatGPT, etc.) Comfortable prompting AI tools for tasks like generating dbt models, writing test cases, summarising data quality issues, or drafting documentation Applies good judgement about when AI output needs review vs. can be trusted — treats AI as a fast first draft, not a ...

... delivery with cross team collaboration. You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality. You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. ...

... passionate to work on complex unstructured business problems that can be solved using data science and machine learning we would like to talk to you. Function : Data Science and Analysis → Data Science / Machine Learning Highly skilled at Data Interpretation Good exposure to machine learning concepts and algorithms Must be ...

... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...

... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...

... within DE workflows, including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience - Proven production data engineering ...

... security, and scalability while enabling faster and more reliable software delivery. Key Responsibilities: - Hands on experience working on Databricks, creating data pipelines, transformation rules using Unity Catalog, PySpark, SparkSQL - Hands on Databricks Devs – Deployments, CICD, Performance Management - Hands on Databricks ...

Manager – Data Engineering Publicis Sapient is seeking a Manager – Data Engineering to join our high-performing engineering team. In this role, you will lead the design and delivery of scalable, cloud native data engineering solutions, partnering with clients and cross-functional teams to solve complex business challenges. ...

... trails. Establish and maintain Feature Store — curated, reusable feature sets across credit risk, fraud, customer propensity, and collections models — ensuring data freshness, SLA adherence, and lineage traceability. Operationalise Databricks Model Serving (serverless + provisioned endpoints) and Mosaic AI for scalable, low-latency ...

... interact with clients at the executive level Collaborate with data science, reporting and product development teams 3 to 6 years of experience in the field of data engineering - Graduate degree or higher with courses in programming, data analytics - Good programming skill in Python/scala or any scripting language - Good ...