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A leading scientific consulting firm in the UK is seeking a Regulatory Data Technician to extract and transform data from regulatory documents. The role involves collaborating with subject matter experts and performing quality control of data extractions. Ideal candidates should have experience with data handling tools such as Python and Excel, along with strong attention to detail. The firm offers a dynamic environment with professional development and generous benefits such as a pension scheme and holidays.
Within Yordas Group, we store a lot of data about chemical substances. Our main database (Hive) contains over 294,000 substances which have been included in over 2,300 individual lists and regulations. A great many of the information sources for this data have come from government and industry, who are required to make this sort of data public. They do so in a variety of ways - often PDF documents, HTML tables, and searchable databases - with inconsistent standards of quality, usability, and implicit structure.
The first stage of the Extract, Transform and Load pipeline is to get all of the relevant substance data out of these documents in a way that can be handed off for transformation and loading onto our substances database. It is the role of Regulatory Data Technicians to carry out this vital first stage accurately and with a good level of insight into the data they are presented with. We are also in the process of developing a much more sophisticated regulatory database to manage this data, with greatly improved scope to capture regulatory and substance data in a structured way. The ambition is to have a system that can service both our customer‑facing Helix software, and integration projects that require a more granular, ordered approach to regulatory data. We will require Data Technicians to work within and give feedback on an enhanced Extract, Transform, and Load pipeline for new data, as we populate a new database to new standards.
At its core, the role will involve the extraction of data from regulatory documents and the interpretation and representation of its structure. Although what we need from a particular source and general guidelines on the output will be set, it will be up to the Technician to say what is in the document and present the data how they think is best. Support and advice will be available within the data team, but Technicians will be encouraged to use any tools and methods at their disposal to achieve their task. Within this role, you will work alongside regulatory experts to interpret and understand the scope of regulations. Although knowledge of substance regulation is not required for this role, it will be important to be able to rapidly acquire broad knowledge of particular areas of the industry as they arise, and make decisions about approaches to data‑handling based on that knowledge. This role would be particularly suitable for candidates with data processing experience, an appetite for experimenting with new methods and packages, and a talent for being able to "see through" complex data structures.
Yordas Group is a leading provider of scientific, environmental, human health, and global regulatory consulting services. We offer chemical regulatory support, expert scientific services and support on chemicals management and product stewardship, global hazard communication, hazard and risk assessment, analytical and (eco)tox testing. Our international client base includes chemical producers, manufacturers, formulators, importers, distributors, retailers as well as trade associations. Yordas serves various industry sectors such as Aerospace, Biocides, Cleaning, Electronics, Lubricants, Nanomaterials, Oil, Gas & Mining, Plastics or Textiles.
Yordas Group is an equal opportunity employer and welcomes applications from all suitably qualified persons regardless of their race, sex, disability, religion / belief, sexual orientation, gender reassignment or age. Yordas Group embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.