For over 25 years, Abcam has been providing tools the scientific community needs to enable faster breakthroughs in critical areas like cancer, neurological disorders, infectious diseases, and metabolic disorders.
We believe that to continue making progress, we need to work together, each bringing our own unique perspectives to make an impact on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly drive science forward.
The Product data associate is responsible for adding data into our data management systems for new products, this data is then consumed by our website and other internal downstream systems to drive operational activities. This role will enhance and sustain our current data associate capacity to ensure we meet our revenue targets and customer demands.
This position reports to the Product Data Manager and is part of the Product Data Integration team located in Cambridge and will be on-site. At Abcam, our vision is to be the most influential life sciences company for researchers worldwide.
In this role you will have the opportunity to
- Perform data enrichment in Abcam’s data management systems for new & existing items.
- Produce & maintain associated kit protocol booklets in line with guidelines and input from wider teams.
- Carry out data updates in a timely manner with high attention to detail.
- Carry out data quality checks. This includes screening potential new data images.
The essential requirements of the job include
- Educated to at least degree level (or equivalent) in a biological science & able to demonstrates a good understanding of the science behind our product portfolio.
- Strong Excel skills & experience working with large datasets is essential.
- Experience with the following applications WB, IHC and/or FC.
It would be a plus if you also possess previous experience in:
- Excellent attention to detail.
- Knowledge of Data Management systems (ex Oracle) and databases such as Uniprot, NCBI and PubMed.
- Basic understanding of programming languages (ex. SQL & Python) is desirable.
Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
