Scientist (Bioinformatics – Genome Editing)

  • Job Reference: BI-SGE
  • Date Posted: 29 May 2018
  • Recruiter: Oxford Genetics Ltd
  • Location: Oxford, Oxfordshire
  • Salary: £28,000 to £38,000
  • Bonus/Benefits: £28,000 - £38,000 per annum (Depending on Experience)
  • Sector: Science & Technology
  • Job Type: Permanent
  • Work Hours: Full Time

Job Description

Oxford Genetics, a leader in synthetic biology, is a specialised contract research organisation offering services to support the discovery, development and production of biologics, with a particular focus on viral vectors for gene therapy applications. A unifying theme across the portfolio is expertise in DNA design, expression system optimisation, cell line development and engineering of viral delivery systems. We are located within purpose-fitted laboratories at the Oxford Science Park, just South of Oxford. 

We are in a phase of rapid expansion and are seeking highly motivated and enthusiastic scientists, engineers and technicians to join the team and help facilitate the next stage of our development as a company. We aim to be both innovative and entrepreneurial in everything we do – join us and contribute to this exciting journey!


We seek an enthusiastic and self-starting bioinformatician to design, implement and evaluate novel software tools to support our genome editing group. In particular, the successful applicant will train machine learning models to predict the targeting patterns of CRISPR/Cas9 gRNAs. The successful applicant will join our interdisciplinary bioinformatics team, working alongside scientific programmers, infrastructure engineers, and web app developers to support both commercial and R&D projects at Oxford Genetics.


  • Work with our genome editing team and NGS specialists to develop a framework for reliably evaluating the targeting patterns of CRISPR/Cas9 gRNA libraries.
  • Apply state-of-the-art data science and statistical learning techniques to derive gRNA suitability/fitness rule-sets from our in-house CRISPR/Cas9 NGS datasets.
  • Engineer user-friendly software tools to facilitate CRISPR/Cas9 gRNA library design against new targets; work closely with our in-house software engineers to integrate interfaces for these into our web-based LIMS.
  • Stay up-to-date with new developments, technologies and methods in genome editing, and proactively seek out collaborations with our group leaders to develop and extend our intellectual property portfolio in this area.
  • Carry out any other duties commensurate with the grading of this post, as required.



  • Master’s degree in biostatistics, systems biology, computational biology, computer science or a related field (with modules/research emphasis in statistical learning techniques), or equivalent experience in a data science research environment.
  • Programming experience with one or more of Python, Perl, Java and R, and familiarity with associated numerical analysis libraries (e.g. NumPy for Python, ND4J for Java, ect.)
  • Ability to critically analyse data structures and algorithms, to profile for computational bottlenecks, and to identify optimisations (with costs and benefits.)
  • Development experience with at least one machine learning library or framework (e.g. scikit-learn, Theano, Tensorflow, Caffe, ect.)
  • Proven track record delivering robust, testable, well-organised and fully-documented software packages for Linux platforms.
  • Proficiency with bash (or equivalent) scripting, and git version control.
  • Ability to configure and compile scientific software packages from source.
  • Excellent communication skills, with an aptitude for describing the significance of their research to non-computer scientists.



  • Experience working in a biotechnology research environment, or else a strong interest in molecular biology and genome editing.
  • Well-versed in open source data visualisation tools (e.g. matplotlib, gnuplot, ect.)
  • Knowledge of AWS, Microsoft Azure, or other cloud computing platforms.
  • Good grasp of multi-threading and/or distributed computing concepts and strategies.
  • Experience working with next-generation sequencing (NGS) datasets.

In addition to undertaking the duties above, the post-holder will be expected to fully adhere to the following:


  • To actively participate in their performance review and work towards objectives set.
  • To take responsibility for their own professional development ensuring professional standards are maintained and mandatory training is in date.
  • To attend training as requested.


  • To uphold the company mission and values.
  • To adhere to quality processes and procedures and strive for continuous quality improvement.


  • To observe the company’s Equal Opportunities Policy providing equality of treatment and opportunity to employees, irrespective of sex, sexuality, age, marital status, ethnic origin or disability.


  • To take responsibility for the health and safety of themselves and other persons who may be affected by their omissions or actions at work.
  • To promote the company Health and Safety Policy and ensure matters are managed in accordance with it.
  • To report accidents, incidents and near misses, implementing corrective action where necessary.


  • To comply fully with the duties and responsibilities outlined the company handbook regarding confidentiality.
  • To comply with the Data Protection Act 1998 and future similar legislation and ensure that all information collected, stored and used is done so in compliance with the Act.
  • To preserve the confidentiality of any information in connection with their employment.This obligation shall continue in perpetuity.

Job type:              Permanent
Hours:                  Full time, 37.5 hours per week
Salary:   £28,000 - £38,000 per annum (Depending on Experience)


25 days Annual Leave plus Bank Holidays, Pension with matched employer contribution to 7%, Health Insurance, Group Life Cover, Child Care Voucher Scheme, Glasses Vouchers and a friendly working environment in an exciting and expanding young company.


We have offices in the UK and USA. This role will be located at The Oxford Science Park, just 4 miles south east of Oxford, with parking and good public transport links from Oxford. Our UK office address is: Oxford Genetics Ltd, Medawar Building, The Oxford Science Park, Oxford, OX4 4GA.


Candidates must be eligible to work in the United Kingdom without sponsorship.

Please send a CV. Your CV should include evidence that demonstrates how you meet each of the selection criteria for the post using examples of your skills and experience. This may include experience gained in employment, education, or during career breaks. Your application will be judged on the basis of how you demonstrate that you meet the selection criteria stated in the job description.


The appointment of the successful candidate will be subject to standard pre-employment screening, as applicable to the post. This will include right-to-work in the UK, proof of identity, references and health assessment.


We provide all our staff with a welcoming and inclusive workplace that enables and empowers everyone to develop and deliver professional excellence. We recognise diversity is vital for innovation and creativity and value each individual’s contribution. Entry into employment with Oxford Genetics and further progression will be determined by personal merit and the application of criteria related to the duties of the role. The ability to perform the role will be the primary consideration on entry into employment and to successfully pass probation.