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Date: Mon Oct 2 09:44:42 2017
Subject: 17.10.02 Therapeutics Discovery Information Scientist, Life Arc, Stevenage, UK
Therapeutics Discovery Information Scientist

LifeArc is the new name for MRC Technology, a medical research charity with a 25 year legacy of
helping scientists and organisations turn their research into treatments and diagnostics for patients.

LifeArc is pioneering new ways to turn great science into greater patient impact. It brings together a
network of partners to tackle specific diseases and directly funds academic and early stage research.

Our Centre for Therapeutics Discovery (CTD) in Stevenage operates at the interface between academic
research and the drug discovery industry. We take novel academic targets and generate lead stage
small molecules and therapeutic antibodies for indications with unmet medical need.

We are looking for a highly motivated individual who will support a multidisciplinary team of chemists,
biologists and antibody engineers by maintaining and developing our scientific data platforms, and to
develop the bioinformatics capability of LifeArc.

 You will be supporting our corporate databases (Activity Base, Oracle, Genedata and
Dotmatics Bioregister) where our internal biological data on small molecules, proteins and
antibodies is stored.

 You will also help shape our bioinformatics capability by annotating our compound libraries
and protein sequences with data from reliable external data sources such as CHEMBL,
UniChem and PDB.

 You will be responsible for maintaining and developing our Dotmatics Browser interface
enables our scientists to visualise the data in an efficient manner is a key function of the role.

The successful candidate will:

 Have a BSc in chemistry or biology and an MSc or PhD in bioinformatics.

 Have experience of a range of programming interfaces such as Python/PERL, JavaScript, java,
web-services, Pipeline Pilot or KNIME are essential requirements of the job.

 Be competent in script-writing in PERL or Python to provide tools for handling chemical and
biological data and have an understanding of R statistical packages.

 Have knowledge of pathway analysis and bioinformatics resources, such as Ensembl, UniProt,
Pfam, PDB, ModBase, Human Protein Atlas and KEGG would be an advantage.

You will also have excellent communication skills, with the ability to work collaboratively with our
scientists and IT department.

Your salary will be determined by qualifications and experience. In addition, LifeArc offers a defined
contribution pension scheme, private health insurance, a flexible benefits scheme and 31 days paid
holiday per year.

LifeArc is committed to the principles and practices of equal opportunities and to encouraging the
establishment of a diverse workforce. It is our policy to employ individuals on the basis of their
suitability for the work to be performed and their potential for development, regardless of age, sex,
race, colour, nationality, ethnic or national origin, disability, marital status, pregnancy or maternity,
sexual orientation, gender reassignment, religion or belief. This includes creating a culture that fully
reflects our commitment to equal opportunities for all.
To apply please email your CV and covering letter explaining why you want to work for LifeArc to:
recruitment-$ or by post to Recruitment, LifeArc, Accelerator Building, Open Innovation
Campus, Stevenage, SG1 2FX (electronic applications preferred).
Closing date: 8 October 2017
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