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Data Scientist III (Research Data Systems)

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Data Scientist III (Research Data Systems)

Beacon Hill

Data Scientist III (Research Data Systems)

Skills

SQL QueriesData EngineeringPythonRPostgreSQLLinux

1 day ago

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Important information


Contract type:

Freelance / Contract

Location:

Irvine, CA, USA

Work mode:

Remote

Published on:

19 October 2026

What they need


We are partnering with a leading enterprise organization seeking a Consultant, Data Scientist III, Research Data Systems to support data standardization, migration, and systems initiatives across research and development.

This role is ideal for an experienced data professional who can bridge scientific business needs and technical implementation.

You’ll work with laboratory and research data, helping improve how it is organized, validated, integrated, migrated, and traced across systems in regulated environments.

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
  • Work arrangement: Hybrid preferred, with remote work open for consideration
  • U.S. citizenship required

Role Overview:

You’ll partner with R&D business teams, data owners, and IT stakeholders to translate scientific and operational requirements into practical technical solutions.

The work spans LIMS architecture, PostgreSQL and SQL, Python-based data engineering, system integrations, data migration, data quality, governance, and technical documentation supporting regulated research operations.

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 supporting traceability, data governance, and regulated operations.
  • Support metadata management, master data management, and data lineage in partnership 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 with at least 8 years of relevant technical experience, or a master’s degree with 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 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, with the ability to work effectively 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 support data integration, migration, quality, lineage, and governance across research systems.

Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.

Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records.

California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

If you have deep experience with LIMS backend architecture, Python,

PostgreSQL/SQL, and research data integration or migration, we encourage you to apply.

The client will remain confidential throughout the initial stages of the hiring process.

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