Bioinformatician (Plant Genomics)
Dynamic Minds Recruitment Ltd
- Oxford
- Permanent
- Full-time
- Inclusive and supportive working environment
- Ongoing training and development opportunities
- Being at the forefront of cutting edge science
- Life cover x 3 of base salary
- Private medical insurance
- Enhanced maternity and paternity pay
- Complimentary refreshments
- Regular team meals and company socials
- Lead the development of next generation sequencing pipelines, including establishing novel de novo transcriptome assembly and annotation pipeline(s) for diverse non-model and wild plant species.
- Curate, integrate and perform in-depth analyses of large-scale -omic datasets from both in-house experiments and public repositories.
- Identify and characterise novel genetic targets, including genes, alleles, and regulatory DNA, crucial for the design of enhanced traits to improve crop performance.
- Design and execute comparative genomic and evolutionary analyses to uncover valuable genetic diversity and understand gene family evolution relevant to key agricultural traits. Collaborate closely and proactively with the experimental biology team to co-design experiments, interpret -omic datasets, and translate computational findings into actionable molecular insights for trait development.
- Champion scientific excellence and continuous improvement by staying up-to-date with the latest advancements in bioinformatics, computational biology, AI/ML in genomics, and plant science; evaluating and implementing new tools and methods, and actively contributing to a culture of innovation and knowledge-sharing within the team.
- A Ph.D. in bioinformatics, computational biology, genomics, or a related field.
- Broad bioinformatics experience with demonstrated expertise in De novo transcriptome assembly and annotation, Mining genomic data to identify novel regulatory DNA, Application of ML/AI techniques to complex genomic analyses.
- Demonstrated ability to create, curate, integrate, and mine diverse -omic datasets (e.g., genomic, transcriptomic, protein sequence data) for biological insights.
- Strong problem-solving skills, with an ability to think creatively to meet goals and deadlines.
- Fluency in Python and comfortable working in Linux/Unix.
- Proficient in working with Git and Github.
- Experience in creating data/bioinformatics pipelines using workflow orchestrators (e.g. Snakemake or Nextflow).
- Proven hands-on experience working in plant science, or with data from non-model species.
- Excellent communication skills and the ability to work effectively in a multidisciplinary team that includes wet lab scientists.
- Self motivated with a continuous learning mindset