Data Scientist III

Spectraforce Technologies, Inc.; Irvine (CA); Hybrid; USD 96,000 - 138,000; Part time

Job summary

Spectraforce Technologies, Inc. is seeking a Data Scientist III to support data standardization and migration across R&D. This hybrid role in Irvine requires hands-on experience with LIMS, PostgreSQL, Python, and data governance in regulated environments.

You will collaborate with R&D teams and IT to design architectures, develop data pipelines, and ensure traceability and data quality across systems.

Qualifications

• Bachelor's degree and at least 8 years of relevant technical experience, or a master's degree and at least 6 years of relevant experience.
• Hands-on experience configuring, deploying, selecting, or implementing applications.
• Experience designing application architecture, 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 working 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, including the ability to work effectively with both business and technical teams.
• U.S. citizenship required.

Responsibilities

• Consult with R&D business teams, data owners, and IT partners to understand project needs and translate them into technical requirements.
• 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, and implementation activities across research and development.
• Design, build, optimize, and troubleshoot PostgreSQL databases and SQL queries.
• Use Python to automate data engineering, migration, reconciliation, and data-quality control activities.
• Support system integrations and data-sharing workflows between applications.
• Identify and resolve data-quality, database, and integration issues.
• Develop and maintain documentation that supports traceability, data governance, and regulated operations.
• Work with data owners and technical teams to support metadata management, master data management, and data lineage.
• Help apply data-quality frameworks, automated testing, and reconciliation controls to improve the reliability of research data.

Skills

LIMS backend architecture

Python

PostgreSQL and SQL

Unix/Linux

Data integration and migration

Education

Bachelor's degree + 8+ years

Master's degree + 6+ years

Tools

LabWare

LabKey

Job description

Title: Data Scientist III/ Research Data Systems/Consultant

Duration: 6 months

Schedule: Monday through Friday, part-time, approximately 20 hours per week

Work location: Hybrid in Irvine, California, preferred; Lake County, Illinois, will also be considered. Remote work is open for consideration.

About the Role

Client seeking an experienced data professional to support data standardization and migration initiatives across Research and Development. In this role, you'll partner with R&D business teams and IT stakeholders to understand scientific and operational needs, translate them into practical technical solutions, and help implement those solutions in regulated research environments.

You’ll focus on the systems and data that support laboratory and scientific work. Your contributions will help make research data easier to organize, validate, integrate, migrate, and trace across systems.

Key Responsibilities

• Consult with R&D business teams, data owners, and IT partners to understand project needs and translate them into technical requirements.
• 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, and implementation activities across research and development.
• Design, build, optimize, and troubleshoot PostgreSQL databases and SQL queries.
• Use Python to automate data engineering, migration, reconciliation, and data-quality control activities.
• Support system integrations and data-sharing workflows between applications.
• Identify and resolve data-quality, database, and integration issues.
• Develop and maintain documentation that supports traceability, data governance, and regulated operations.
• Work with data owners and technical teams to support metadata management, master data management, and data lineage.
• Help apply data-quality frameworks, automated testing, and reconciliation controls to improve the reliability of research data.

Required Qualifications

• Bachelor's degree and at least 8 years of relevant technical experience, or a master's degree and at least 6 years of relevant experience.
• Hands-on experience configuring, deploying, selecting, or implementing applications.
• Experience designing application architecture, 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 working 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, including the ability to work effectively with both business and technical teams.
• U.S. citizenship required.

Most Important Skills

• LIMS backend architecture
• Python
• PostgreSQL and SQL
• Unix/Linux
• Data integration and migration