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Bioinformatician (Plant Genomics)

Oxford
1 month ago
Applications closed

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AI Data Scientist (Contract)

The Role: Bioinformatician

Location: Oxford

Salary: £DOE

Are you passionate about using data to unlock the secrets of plant genomes? Want your work to help tackle global challenges like food security and sustainability? Do you believe that your ideas can drive real scientific breakthroughs?

If so, get in touch today! Dynamic Minds has the perfect opportunity for you!

We are incredibly proud to partner with a groundbreaking biotechnology company that’s in the business of making a tangible global impact! Universally respected and regarded as a leader in its field, this business is working at the forefront of scientific discovery to solve some of today’s most pressing global challenges. Due to ongoing growth and expansion, there is an opportunity for a Bioinformatician (Plant Genomics) to join the team on a full time permanent basis. Our client is seeking a seasoned Bioinformatics Scientist with strong expertise in mining and analysing large-scale -omics datasets to uncover insights that drive the development of yield-enhancing traits.

As an integral member of the trait design team, you will play a key role in creating, curating, and mining deep -omic datasets to generate insights for developing the world’s highest-performing crops. This is a great opportunity for someone with experience in de novo transcriptome assembly, identifying regulatory DNA from genomic data, and using machine learning or AI in comparative genomics or other -omics analyses. If you’re looking to be part of something special and leave your mark on the future of plant science, then this could be the role for you. On offer is a competitive salary and:

Benefits:

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

What cool stuff will you be doing?

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.

What will you bring to this role?

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

Is this the dream role you have been searching for? Great! Please attach a copy of your updated CV to be considered for this fantastic opportunity

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