Therapeutics Discovery Information Scientist

  • LifeArc
  • Job type: Permanent
  • Closing by 21/5/2021
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Therapeutics Discovery Information Scientist

Stevenage

LifeArc is a medical research charity with a 25-year legacy of helping scientists and organisations turn their research into treatments and diagnostics for patients.  

We are pioneering new ways to turn great science into greater patient impact at LifeArc. We do this by bringing together a network of partners to tackle specific diseases and by funding and developing early-stage research.

The Role

We are in search of a highly motivated individual to join our dynamic group of data scientists who support multidisciplinary therapeutic discovery teams at our Centre for Therapeutic Discovery (CTD) at Stevenage. The successful candidate will be responsible for maintaining, improving, and expanding our NGS-driven single B cell antibody discovery platform in terms of data collection, processing, and management.

Your skills will also be employed to organise, visualise, and rationalise data sets from diverse range of assays accompanying antibody discovery campaigns. Furthermore, using the large datasets generated across multiple research projects, you will develop procedures, algorithms and in-silico methods for mining and analysing antibody sequences and screening assay data. You will be also expected to efficiently communicate, advise, and work closely with our wet-lab scientists.

About you

As such you will be conversant with bioinformatic methodologies and be a keen scientist who enjoys coding and developing tools for data engineering and analysis, and it will be essential for you to have: 

  • PhD, MSc, or BSc in Bioinformatics, Cheminformatics, Data Science, or any in related disciplines.
  • Experience with at least one programming language (R, Python or Perl and/or scientific workflow systems e.g., Knime) preferably as shown by past projects or contributions.
  • Experience with command line Linux or Unix (shell scripting).
  • Experience with relational databases (SQL) e.g., Oracle or Postgres.

 It would also be desirable for you to have:

  •   Knowledge of LIMS or biological registration systems (e.g., Dotmatics, Genedata)
  •   Experience using and/or building webservices, microservices and APIs.
  •  Knowledge of good software development practices including version control, environment. management, packaging, testing such as GitHub.
  •  Good understanding of antibody discovery process and hands-on experience with sequence analysis of antibody repertoires
  •   General knowledge in immunology and familiarity with B cells biology
  •   Experience in handling large sequencing data from next-generation sequencing (NGS)
  •  Familiarity with cloud computing (Azure/AWS) and SaaS tools.

Salary

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: adam.rudman@lifearc.org. 

Closing date: Friday 21st May 2021

Apply now

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