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Date: Mon Apr 3 10:56:33 2017
Subject: 17.04.03 ChemInformatics Data Scientist, Developer - BenevolentAI - London, UK
Cheminformatics Data Scientists and Developers

BenevolentAI harnesses artificial intelligence to enhance and
accelerate scientific discovery by making sense of highly fragmented
information to create new insights and usable knowledge that benefit

Based on a year of strong validation of the core AI technology of the
company, and substantial progress in extension of the data content, 
automated annotation, and tools based on our proprietary biomedical 
knowledge graph. We are expanding our cheminformatics activities. 
Handling and manipulation of chemical information, combined with our
artificial intelligence approaches will allow us to take drug design
and discovery to the next level and enable BenevolentAI to achieve
its ambitious corporate goals.

We have a number of open cheminformatics positions in the Biomedical
Informatics team; these will be available potentially at entry, mid, 
or senior levels depending on the background and experience of the
candidates. Indicative roles and skill sets are outlined below, 
but most important to us are strong technical skills and a track record
of achievement and innovation.

Indicative Roles/Profile:

* Cheminformatics Developer: Cactvs, RDKit, KNIME, python, java,
API development, external tool integration, relational, NoSQL and graph

* Cheminformatics Data Scientists 1: Library design, QSAR, 
multi-parameter optimisation, python, scikit-learn, RDKit, KNIME.

* Cheminformatics Data Scientist 2: docking, virtual screening, 
library design, genetic algorithms, QSAR, molecular fragmentation.

* Cheminformatics Data Scientist 3: structural biology, structure-based
drug design, pharmacophores, bioinformatics.

* Bio/Cheminformatics Data Specialist: strong knowledge of chemistry
and biology data sources, chemical and biological text-mining expertise,
specialist lexicon development, chemical NER, templated information


* Preferably a PhD in cheminformatics, computational biology/chemistry,
or drug design.

* Experience in developing software, databases, and algorithms to 
 support and innovate in drug discovery or biological science. 
 Experience of git and associated services.

* A firm grasp of the current trends within the drug design and applied
 machine-learning domains.

* Ideally, prior experience of working in a commercial setting.

* Ability to work as part of a team applying agile methodology to tool
 development and research.

* An open and interactive working style, drawing on other team members
 experience and skills to build complex solutions.

* Confident communicator, both oral and written, with ability to
 influence at all levels and between departments.

* Experience in a dynamic, fast-paced, research environment, with a passion to change the world of healthcare.

We offer a great opportunity to do what you like while doing something
that will improve and save millions of people lives.
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