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# Associate Scientist Data Curator

- **Company:** Kinetic Plc
- **Location:** San Diego, CA, United States
- **Experience:** Starter
- **Salary:** $58,240.0 - $62,400.0
- **Contract:** Temporary contract
- **Skills:** Data Analysis, Computer Programming, Databases, Data Architecture, Information Engineering, Data Transformation, Data Mining, Data Warehousing, Python (Programming Language), Laboratory Information Management Systems, Microsoft SharePoint, Information Technology
- **Published:** September 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9484ce967817f2c2

## About the Role

* PLEASE NOTE: THIS IS NOT A COMPUTER SCIENCE ROLE - a degree in the life sciences is required, Bachelor's degree in Life Sciences, Data Science, Computer Science, or a related field.
 * 0-2 years' experience in biochemistry and structural biology lab, experience with cryo-EM, X-ray or co-folding will be preferred.
 * Programming skills in Python or Claude for data transformation and analysis.
 * Excellent problem-solving, analytical, organizational, and communication skills.
 * Ability to work independently and manage multiple tasks effectively and simultaneously.
 * Candidates must be available to work in United States and not require sponsorship for employment visa status now and future.
 * Location: La Jolla, CA, * Bachelor's (Required)

## Description

Kinetic Staffing Solutions is seeking a data curator to assist with data extraction from laboratory instruments or electronic lab notebooks, as well as data transformation and loading into the data warehouse. The ideal candidate should possess a strong understanding of pharmaceutical research and the biologic discovery process, along with proven experience in data analysis or data curation projects. Additionally, it is crucial for the contractor to collaborate closely with laboratory scientists, as well as data science and IT teams, to ensure the accuracy, integrity, and usability of data throughout its lifecycle., 1. Data extraction from Sharepoint, database, or electronic lab notebooks:

o Develop and implement automated processes for capturing data from various sources, including Sharepoints, lab information management system (LIMS), in-house database or electronic notebooks (ELNs).

o Ensure that data capture align with the overall discovery R&D data architecture requirements.

 2. Data transformation and loading:

o Mine and analyze historical R&D discovery data for quality, relevance, and completeness before loading to the database.

o Maintain comprehensive documentation related to data extraction, transformation, protocols, including training materials.

 3. Collaboration and Communication:

o Work closely with cross-functional teams including scientists, IT, data engineering and architecture and business units to align data strategies.

o Communicate effectively with both technical and non-technical stakeholders regarding data capture issues.