Bioinformatics Team lead
London – Hybrid
This highly influential research institute are looking for an experienced Bioinformatician with a strong background in genomic data analysis and research support. This position will require you to provide both technical leadership and people management across your team.
You will be working towards overcoming challenges in large scale whole genome analysis and be responsible for building and using genomic data and analytical workflows. As a team lead you will be a key part of the companies development of solutions and products for both internal and external stakeholders.
Responsibilities may include;
- Develop datasets and workflows for high throughput genome analysis
- Lead Code and workflow reviews
- Lead complex custom genomic analyses
- Managing, mentoring and supervising direct reports
- Contributing to the hiring strategy for the team
Ideally you will have
- PhD in related field (ideally bioinformatics / computational biology etc) AND significant work experience in similar field
- Demonstratable leadership experience
- Excellent skills in programming languages such as Python / R
- Experience with workflow languages such as wdl or nextflow
- Experience with large-scale data platforms used in genomics research
- Previous experience in human genetics and with WGS is highly desirable
In return you will have the opportunity to work with some of the brightest minds in this field. You will also receive a highly competitive salary, pension and benefits package.
If you are interested in hearing more about this amazing opportunity, please feel free to contact me either via email email@example.com or phone 0121 63466.
Furthermore if you are interested in finding out about other opportunities within the bioinformatics and genomic industry please reach out for a confidential discussion.
Keywords; Bioinformatics / Bioinformatician / Computational Biology / Computational Biologist / Data Science / Data Scientist / Research / Biotech / Biotechnology / Python / R / Pipelines / NGS / Next generation sequencing / Cancer / Rare Disease / Precision Medicine / Genome / Genomics / London / Human Genetics