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You will become a key player in the delivery of strategic research projects, involved in their design, the analysis of experimental data and subsequent planning of further scientific development. You will be supervising junior and assistant scientists work towards project completion.
This is an opportunity to join one of the best stem cell reprogramming labs and conduct research with a real-world impact. Responsibilities: Working collaboratively with experimental and computational biologists and leading projects including supervision of junior and assistant scientists
Delivering multidisciplinary research programmes contributing to the design and analysis of data from experimental projects*Develop and maintain internal infrastructure, including the creation of well documented user-friendly tools Developing new research ideas with the scientific, business and leadership teams
Contributing to strategic collaborations with key opinion leaders
Providing technical and scientific expertise by contributing to proposals, meetings, publications and business development activities
You will enjoy tackling research challenges through critical thinking, scientific rigour and inventiveness and are comfortable working to tight timelines and managing workload and priorities.
Your practical research experience and excellent organisational skills will allow you to work independently, provide leadership on project execution, be productive and output driven whilst building efficient and positive collaborations with the wider team.
Requirements: Proficiency in R and/or python
Experience analysing large datasets, including next-generation sequencing data, in high-performance computing environments
Strong computational fundamentals including machine learning, algorithms, and data structures
A minimum of 3 years of post-doctoral experience in an area relevant to computational biology (or equivalent experience), and at least 4 years of experience doing primarily computational biology, ideally in the genomics space (can include time in PhD)
Ideally experience in data analysis of programmed human pluripotent stem cells and/or products of mammalian cell genetic engineering (CRISPR, lentiviral vectors)
Knowledge of up-to-date molecular biology techniques, haematology and/or immunology
Experience with version control, and using AWS or other cloud computing platforms for bioinformatics
Familiarity with gene regulatory networks, mechanisms of gene expression, and developmental biologyExperience with RNA-seq (bulk and/or single cell), microarrays, ChIP-seq, ATAC-seq, and/or other genomic technologies
Experience in industry