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Opportunity: Therapeutics Discovery Information Scientist @ LifeArc -- Stevenage, UK
Submitted by Helen Adams; posted on Monday, October 02, 2017
BACKGROUND
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.
RESPONSIBILITIES
- 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.
REQUIREMENTS
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.
COMPENSATION
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.
HOW TO APPLY
To apply please email your CV and covering letter explaining why you want to work for LifeArc to: recruitment[at]lifearc.org or by post to Recruitment, LifeArc, Accelerator Building, Open Innovation Campus, Stevenage, SG1 2FX (electronic applications preferred).
DEADLINE
Closing date: 8 October 2017
POLICY
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.
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