Data Scientist III (Research Data Systems)
The Data Scientist III role focuses on supporting data standardization, migration, and system initiatives within research and development environments. The position involves collaborating with R&D teams and IT to design and implement LIMS architectures, develop PostgreSQL/SQL databases, and automate data engineering tasks using Python, all within regulated scientific settings. This part-time, hybrid role emphasizes improving data quality, governance, and integration across research systems.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Biotechnology Research, Pharmaceutical Manufacturing.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Engagement Details
- Hybrid in Irvine, California preferred; Lake County, Illinois will also be considered. Remote work is open for consideration.
- Schedule: Part-time — approximately 20 hours per week, Monday through Friday.
- Duration: 6 months (contractor).
- Work arrangement: Hybrid preferred; remote considered.
- U.S. citizenship required.
Role Overview
Confidential Client is seeking an experienced Data Scientist III (Research Data Systems) to support data standardization, migration, and systems initiatives across research and development. You will partner with R&D business teams, data owners, and IT stakeholders to translate scientific and operational requirements into practical technical solutions for regulated research environments.
Key Responsibilities
- Consult with R&D business teams, data owners, and IT partners to gather requirements and translate them into technical deliverables.
- Design, configure, and support laboratory information management systems (LIMS) and related applications.
- Develop and maintain technical specifications, application architectures, database schemas, and system integration plans.
- Support data standardization, migration, reconciliation, and implementation activities across research systems.
- Design, build, optimize, and troubleshoot PostgreSQL databases and SQL queries.
- Use Python for data engineering, automation, migration, reconciliation, and data-quality control tasks.
- Support system integrations and data-sharing workflows between applications.
- Identify and resolve data-quality, database, and integration issues.
- Develop and maintain documentation supporting traceability, data governance, and regulated operations.
- Support metadata management, master data management, and data lineage with data owners and technical teams.
- Apply data-quality frameworks, automated testing, and reconciliation controls to improve research data reliability.
Required Qualifications
- Bachelor’s degree plus at least 8 years of relevant technical experience, or a master’s degree plus at least 6 years of relevant experience.
- Hands-on experience configuring, deploying, selecting, or implementing applications (preferably LIMS or lab-focused applications).
- Experience designing application architectures, technical specifications, database schemas, and system integrations.
- Strong PostgreSQL and SQL skills, including query development, optimization, and troubleshooting.
- Proficiency in Python for data engineering, automation, and data-quality activities.
- Experience working in Unix or Linux environments.
- Experience with laboratory, clinical, scientific, manufacturing, or other regulated data.
- Familiarity with LIMS platforms such as LabWare, LabKey, or similar systems.
- Knowledge of data governance, master data management, metadata management, and data lineage.
- Experience with data-quality frameworks, automated testing, and data reconciliation controls.
- Familiarity with regulated environments such as GxP, GLP, GMP, or CDC-regulated research.
- Strong communication and collaboration skills across business and technical teams.
- U.S. citizenship required.
What Makes This Role Unique
- Hands-on work at the intersection of LIMS backend architecture, data engineering, and regulated research data.
- Strong emphasis on Python, PostgreSQL/SQL, and Unix/Linux.
- Opportunity to lead data integration, migration, quality, lineage, and governance efforts across research systems.
- Work with a Confidential Client operating in Biotechnology Research and Pharmaceutical Manufacturing.
Additional Notes
- Confidential Client will remain confidential throughout the initial stages of the hiring process.
- California applicants: qualified applications with arrest or conviction records will be considered in accordance with relevant Fair Chance laws.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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