Full-Time Bioinformatician
Job Description
We are seeking a highly motivated bioinformatician to join Ensembl (www.ensembl.org), a world-leading provider of genomics data resources and bioinformatics software tools.
The Ensembl Genebuild team operates at the forefront of gene structure annotation in eukaryotic genomes. We design code and pipelines to annotate genomes with genes and other genomic features across diverse species in the tree of life. One of our primary objectives is to develop standardized and deployable pipelines that leverage protein and transcriptomic data to create training sets for machine learning initiatives aimed at solving complex annotation challenges. Additionally, we are working to incorporate state-of-the-art primary data to enhance and validate gene annotation.
As a member of the Ensembl Genebuild team, you will join a group of bioinformaticians and developers who are experts in gene structure annotation. Our team possesses domain expertise in software development, large-scale computation, big data, pipeline workflows, and automation. We collaborate with consortia and communities worldwide to annotate new genomes. Current and future projects include implementing machine learning techniques to improve gene structure annotation, incorporating RiboSeq data into our existing annotation system to enhance gene annotation, and building tracking systems for metadata and quality control from assembly and raw transcriptomic data to finalized gene sets.
Your role
Your main responsibility will be the development and deployment of our large-scale annotation system to produce high-quality gene annotations. More specifically, you will:
- Produce high-quality, evidence-based gene sets for species across the eukaryotic tree of life, including protein-coding genes, noncoding RNA genes, and pseudogenes.
- Develop deployable pipelines to generate training sets for machine learning initiatives.
- Work with state-of-the-art primary data, including RiboSeq data, to help validate and improve gene structure annotation.
- Operate in a release-based environment and coordinate with other teams.
- Collaborate with international partners on genome projects.
- Participate in training users in our annotation methods and workflows.
You have
You should hold an MSc, PhD, or equivalent experience in Computer Science, Bioinformatics, Genetics, or a related field.
You will be expected to write, understand, and maintain complex code. You should also have domain experience in some of the following areas:
- Genome annotation
- Methods for DNA/RNA sequencing and sequence alignment
- Relational databases
- Scaling and optimization
- Machine learning concepts
You should possess strong communication and interpersonal skills and be a self-starter capable of managing your time to meet the needs of multiple projects. Key attributes include the ability to work effectively in a team, excellent attention to detail, solid problem-solving skills, and a desire to learn and improve. Additionally, you should demonstrate the ability to communicate both biological and computational ideas clearly (orally and in writing), manage time effectively to meet deadlines, and have a desire to work in an international environment.
You might also have
Previous experience processing large biological data sets in a production environment is advantageous. This includes an understanding of compute clusters, pipeline workflows, software design, and automation. Evidence of working in a dynamic, team-based environment or contributing to a large, shared codebase is desirable. Experience with Riboseq data is also highly desirable.
Apply now! Benefits and Contract Information
- Financial incentives: depending on circumstances, monthly family/marriage allowance of £272 monthly child allowance of £328 per child. Non resident allowance up to £556 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances
- Hybrid working arrangements
- Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)
- Generous time off: 30 days annual leave per year, in addition to eight bank holidays
- Relocation package including installation grant (as applicable)
- Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely)
- Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances
- Contract duration: This position is a 2 year project based contract
- Salary: Monthly salary starting at £3,229 after tax but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances)
- International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants.
- Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities.
- Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you.
How to Apply
To apply, please submit a covering letter and CV via our online system. Applications will close on 15/09/2024. https://www.embl.org/jobs/position/EBI0228062 total views, 0 today