Internships within ChEMBL

We regularly offer internships within the ChEMBL group, these are typically for between three and six months. We receive about five to ten applications per week, so only a small fraction of applications are successful. We try and match these against project ideas we have, available space, and our limited budget. Here is some advice for those wishing to apply.

Please note - working as an intern at any EMBL lab may negatively affect applications for study as a PhD student at EMBL - please check the regulations carefully if you plan to apply for a PhD.

Please try and be accurate about the group you are applying to, we understand that you are probably looking at many opportunities, but if you mention a completely different scientific area, PI name, or have a very vague and general application, we will be unable to consider your application further.
Attach a current and accurate cv (please do not feel under pressure to limit this to two pages) with your initial application. Be accurate with the description of your skills and interests.
We circulate the applications amongst the ChEMBL group, and then short-list candidates for a skype video call, where we will have a half-hour interview, including some technical tests.
The group use Apple hardware for desktop machines and you will need to be able to use UNIX (in one its many forms), command line, and standard office tools (MS Office, or equivalent). You will not be able to bring your own computer/licensed software to perform work with us.
We will pay you a modest stipend while you are here, but you need to fund your own travel to and from the United Kingdom where required.
We do not have time to reply to, or provide feedback on, every application we receive, sorry.
We have a broad range of project ideas, not just those listed on the page linked to below; so we welcome applications from bioinformaticians, chemoinformaticians, structural biologists, web developers, knowledge modelling and those with drug discovery backgrounds.

Details on the EMBL-EBI's internship program are found here; however, please note that there are some contradictions in the current EBI website material - specifically, we welcome applications from all nationalities.

Comments

Unknown said…

I am pursuing M.S. in Pharmacoinformatics (Bio/Chemoinformatics) from India. I am adept in using LINUX/UNIX and looking forward to do internship in an organization like yours. Do you still offer internships?

1 March 2012 at 16:37

jpo said…

Yes we do - look at some of the more recent blog posts for some details of projects - let me know by mail to jpo at ebi . ac . uk if you are interested, and send a full cv.

jpo

1 March 2012 at 19:43

New SureChEMBL announcement

(Generated with DALL-E 3 ∙ 30 October 2023 at 1:48 pm) We have some very exciting news to report: the new SureChEMBL is now available! Hooray! What is SureChEMBL, you may ask. Good question! In our portfolio of chemical biology services, alongside our established database of bioactivity data for drug-like molecules ChEMBL , our dictionary of annotated small molecule entities ChEBI , and our compound cross-referencing system UniChem , we also deliver a database of annotated patents! Almost 10 years ago , EMBL-EBI acquired the SureChem system of chemically annotated patents and made this freely accessible in the public domain as SureChEMBL. Since then, our team has continued to maintain and deliver SureChEMBL. However, this has become increasingly challenging due to the complexities of the underlying codebase. We were awarded a Wellcome Trust grant in 2021 to completely overhaul SureChEMBL, with a new UI, backend infrastructure, and new f

A python client for accessing ChEMBL web services

Motivation The CheMBL Web Services provide simple reliable programmatic access to the data stored in ChEMBL database. RESTful API approaches are quite easy to master in most languages but still require writing a few lines of code. Additionally, it can be a challenging task to write a nontrivial application using REST without any examples. These factors were the motivation for us to write a small client library for accessing web services from Python. Why Python? We choose this language because Python has become extremely popular (and still growing in use) in scientific applications; there are several Open Source chemical toolkits available in this language, and so the wealth of ChEMBL resources and functionality of those toolkits can be easily combined. Moreover, Python is a very web-friendly language and we wanted to show how easy complex resource acquisition can be expressed in Python. Reinventing the wheel? There are already some libraries providing access to ChEMBL d

New Drug Approvals - Pt. XVII - Telavancin (Vibativ)

The latest new drug approval, on 11th September 2009 was Telavancin - which was approved for the treatment of adults with complicated skin and skin structure infections (cSSSI) caused by susceptible Gram-positive bacteria , including Staphylococcus aureus , both methicillin-resistant (MRSA) and methicillin-susceptible (MSSA) strains. Telavancin is also active against Streptococcus pyogenes , Streptococcus agalactiae , Streptococcus anginosus group (includes S. anginosus, S. intermedius and S. constellatus ) and Enterococcus faecalis (vancomycin susceptible isolates only). Telavancin is a semisynthetic derivative of Vancomycin. Vancomycin itself is a natural product drug, isolated originally from soil samples in Borneo, and is produced by controlled fermentation of Amycolatopsis orientalis - a member of the Actinobacteria . Telavancin has a dual mechanism of action, firstly it inhibits bacterial cell wall synthesis by interfering with the polymerization and cross-linking of peptid

Accessing SureChEMBL data in bulk

It is the peak of the summer (at least in this hemisphere) and many of our readers/users will be on holiday, perhaps on an island enjoying the sea. Luckily, for the rest of us there is still the 'sea' of SureChEMBL data that awaits to be enjoyed and explored for hidden 'treasures' (let me know if I pushed this analogy too far). See here and here for a reminder of SureChEMBL is and what it does. This wealth of (big) data can be accessed via the SureChEMBL interface , where users can submit quite sophisticated and granular queries by combining: i) Lucene fields against full-text and bibliographic metadata and ii) advanced structure query features against the annotated compound corpus. Examples of such queries will be the topic of a future post. Once the search results are back, users can browse through and export the chemistry from the patent(s) of interest. In addition to this functionality, we've been receiving user requests for local (behind the

Multi-task neural network on ChEMBL with PyTorch 1.0 and RDKit

Update: KNIME protocol with the model available thanks to Greg Landrum. Update: New code to train the model and ONNX exported trained models available in github . The use and application of multi-task neural networks is growing rapidly in cheminformatics and drug discovery. Examples can be found in the following publications: - Deep Learning as an Opportunity in VirtualScreening - Massively Multitask Networks for Drug Discovery - Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set But what is a multi-task neural network? In short, it's a kind of neural network architecture that can optimise multiple classification/regression problems at the same time while taking advantage of their shared description. This blogpost gives a great overview of their architecture. All networks in references above implement the hard parameter sharing approach. So, having a set of activities relating targets and molecules we can tra

The ChEMBL-og

Search This Blog