Upload CV

Please fill out the form below to upload your CV & register your details.

 We only accept .doc, .docx, .pdf, and .odt files

Log In.

Log In to your account below:

  Click here to register   Forgot Password?


Fill out the form below to create a new account:

  Click here to log in

Forgot Password?.

Enter your email address below and we'll send you a new one.


Apply for this job.

Please fill out the form below to apply for this job.

 We only accept .doc, .docx, .pdf, and .odt files
Home About Clients Candidates Vacancies News Contact Register / Log In  
Bioinformatics Data Manager
Position: Location: Salary: Type:
Bioinformatics Data Manager Cambridge £60000 Permanent
If you’re a data manager with a strong background in biology, this is an opportunity for you to be challenged in a fast-growing company as well as be recognized as an individual.
  • Source, import as well as maintain high-quality data in ODM by performing data extract-transform-load (ETL) functions:
  • retrieving data regularly from large public repositories or ad hoc from individual high-profile projects,
  • creating, running, adapting and maintaining data transformation Python scripts,
  • loading the transformed data into ODM by running existing data loading code.
  • Collaborate with the data scientists by preparing “clean” data, allowing your colleagues to focus on tasks such as performing statistical analyses on the data.
  • Maintain and update existing ontologies/vocabularies/dictionaries and auxiliary data (e.g. reference genome sequences) to ensure interoperability of the data.
  • Develop and grow business relationships with our customers' data managers and/or engineers by providing expert advice on how to prepare “clean” data, so our customers can get the maximum value out of ODM.
  • You are proficient in ingesting, persisting and exporting large volumes of biological omics data and metadata from disparate sources using common file transfer protocols (e.g. HTTP, FTP) and RESTful APIs.
  • You have domain knowledge about omics data captured in common data formats (e.g. GFF, GCT, VCF, FASTA, FASTQ, BAM)
  • You have used or constructed controlled vocabularies/ontologies and are familiar with the related file formats (e.g. OWL, OBO, SKOS).
  • You are proficient in writing bespoke scripts in Python for wrangling and transforming data from a source into required formats.
  • You understand how auxiliary/reference data (e.g. reference genome sequences) are used in the analysis and interpretation of omics data.
  • You understand what a "data model" is and, using your omics domain knowledge, can make recommendations to more software engineers/architects on its design
 Back to Blog