Scientist (Bioinformatics – NGS Data Analysis)

  • Job Reference: BI-SNGS
  • 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!

ROLE OVERVIEW:

We seek an experienced and self-motivated bioinformatician to design, implement and run software pipelines for analysing next-generation sequencing (NGS) data. 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.

KEY RESPONSIBILITIES:

  • Build state-of-the-art data processing pipelines for targeted re-sequencing, whole genome sequencing, genome editing, and differential expression analysis experiments.
  • Support our wet lab scientists in the planning, and interpretation, evaluation and visualisation of results for investigations with an NGS component.
  • Work closely with our in-house software engineers to integrate interfaces for the scheduled running of these these pipelines into our web-based LIMS.
  • Stay up-to-date with new developments, technologies and methods in NGS data analysis, 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.

    ESSENTIAL QUALIFICATIONS AND/OR EXPERIENCE:

  • Master’s degree in bioinformatics, computational biology, computer science or a related field, or equivalent experience in a biotechnology 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.)
  • Analysis experience with NGS datasets (preferably Illumina paired-end, PacBio or Nanopore) in DNA-seq, RNA-seq, break-seq, GUIDE-seq or similar contexts.
  • Comprehensive understanding of NGS data formats, QC and alignment.
  • 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 translating biological assay requirements into re-usable code solutions.

     

    DESIRABLE QUALIFICATIONS AND/OR EXPERIENCE

  • Solid command of Biopython, BioPerl, BioJava or Bioconductor.
  • Well-versed in open source data visualisation tools (e.g. matplotlib, gnuplot, ect.)
  • Data mining/cleaning experience with REST APIs for publicly-available repositories of biological datasets (e.g. RefSeq, Uniprot, Ensembl, ect.)

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

PERSONAL DEVELOPMENT

  • 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.

    CODE OF CONDUCT AND QUALITY

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

    EQUAL OPPORTUNITIES / DIVERSITY

  • 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.

    HEALTH & SAFETY

  • 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.

    CONFIDENTIALITY AND DATA SECURITY

  • 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)

COMPANY BENEFITS

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.

JOB LOCATION

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.

HOW TO APPLY

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.

PRE-EMPLOYMENT SCREENING

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.

DIVERSITY AND EQUALITY OF OPPORTUNITY

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.