Data Administrator at LGC Group

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

29200.0

Posted On

05 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Excel, SQL, Data Cleansing, Data Validation, Data Standardization, Problem-Solving, Attention to Detail, Data Integrity, Communication Skills, Data Manipulation, Documentation, Intellectual Property, Patenting Process, Salesforce, Wellspring Sophia, Portfolio Administration

Industry

Biotechnology Research

Description

Company Description LGC Ltd (www.lgcgroup.com) is a global life sciences company serving government, academia, pharmaceuticals, agriculture, food, environment, security, and sports sectors. Its Grant Management Group (GMG) works closely with the NIHR and other UK government bodies to support medical and health research. GMG manages funding calls, contracts and intellectual property, ensuring research projects are delivered efficiently and in line with strategic priorities, while collaborating with stakeholders across the NHS, academia, government and industry to advance health innovation. Job Description Earlier this year, LGC assumed responsibility for managing the MRC’s intellectual property (IP) portfolio. As part of this transition, a significant number of data quality issues have been identified within the portfolio. These issues have been fully scoped, and we are now seeking a detail-oriented Data Administrator to support the essential data cleansing and validation work required to bring the portfolio up to the highest standard. This role is ideal for someone who excels in structured data tasks, enjoys problem-solving, and can confidently work with large and complex datasets. Key Responsibilities Clean, validate, and standardise IP portfolio data in line with defined quality criteria Use Excel and SQL to identify discrepancies, incomplete fields, and data integrity issues Support the tracking and reporting of progress on data cleansing activities Work closely with colleagues across the IP management and data functions to clarify requirements and resolve anomalies Maintain accurate documentation of updates, changes, and process steps. Qualifications Essential Criteria Strong Excel skills, including lookups, pivot tables, and data manipulation Working knowledge of SQL for querying and validating data Strong attention to detail and a methodical approach to problem-solving Ability to work with large datasets accurately and efficiently Good communication skills, with the ability to clarify data requirements and inconsistencies Desirable Criteria Understanding of intellectual property (IP) and the patenting process Experience using Wellspring Sophia or similar IP management systems Experience using Salesforce Prior experience in data cleansing, migration, or portfolio administration Additional Information Compensation, Benefits & Working Arrangements: Salary: £29,200 PA Location: Victoria, London Contract Type: Full Time, Fixed Term Contract, 3 months Working Hours: 37.5 per week, 7.5 hours per day Immediate starters required How to Apply If you are excited about the prospect of joining our team and believe you possess the relevant skills and background, we invite you to apply. Inclusion and Diversity LGC strongly believes that every job applicant and employee should be valued for their individual talents regardless of age, disability, race, color, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or maternity, religion, or belief. Short listing, interviewing and selection will always be carried out without regard to gender, sexual orientation, marital status, color, race, nationality, ethnic or national origins, religion or belief, age, or trade union membership.

Responsibilities

The Data Administrator will clean, validate, and standardize the IP portfolio data according to defined quality criteria. They will also support tracking and reporting on data cleansing activities and collaborate with colleagues to resolve data anomalies.