> Markdown version of [/jobs/ext/3852464-data-scientist](https://www.wearedevelopers.com/jobs/ext/3852464-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Techgroup America Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Unix, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Integrity, Data Migration, Python (Programming Language), Laboratory Information Management Systems, PostgreSQL, Meta-Data Management, Software Architecture, SQL Databases, Systems Integration, Data Processing, Data Lineage, GXP - **Published:** October 21, 2026 - **Apply:** https://www.dice.com/job-detail/7356984d-2c6f-4096-9d89-1780010c5ef0 ## About the Role * Bachelor's degree with 8+ years of relevant experience or Master's degree with 6+ years. * Strong proficiency in Python, PostgreSQL, SQL, and Unix/Linux. * Experience with data engineering, data migration, data integration, and data-quality frameworks. * Familiarity with LIMS platforms such as LabWare, LabKey, or similar systems. * Experience working with scientific, laboratory, clinical, or regulated data environments (GxP/GLP/GMP). * Knowledge of data governance, metadata management, and data lineage. * Strong analytical, problem-solving, and communication skills. ## Description We are seeking an experienced Data Scientist to support data standardization, migration, and integration initiatives within Research & Development. The ideal candidate will have strong skills in Python, PostgreSQL, SQL, and data quality, along with experience working with scientific data and LIMS platforms in regulated environments., * Analyze, standardize, and validate research and scientific data across multiple systems. * Use Python and SQL to automate data processing, migration, reconciliation, and quality checks. * Design and optimize PostgreSQL databases, queries, and data integration workflows. * Support LIMS applications, backend architecture, and system integrations. * Identify and resolve data-quality issues and improve data reliability. * Maintain data documentation, lineage, metadata, and governance standards.