Jobs

Bioinformatician


Job details
  • Elaniti
  • Birmingham
  • 1 week ago
Applications closed

Location: Remote / London / Hybrid

Position: Full-time

Reports to: Chief Technology Officer

Posted: November 2024


About the role


We are seeking a passionate Bioinformatician as we continue to enhance our agritech digital and Machine Learning platform. The successful candidate will likely have a background in biotechnology with some experience in applied AI and Machine Learning. The role will include designing and building a robust bioinformatics pipeline and computational framework, integrating and analysing genomics datasets, generating insights through data analysis and more generally enabling and influencing Elaniti’s R&D strategy.


Key Responsibilities


  • Design and implement Elaniti’s in-house bioinformatics pipeline and computational frameworks
  • Develop analysis workflows for soil DNA sequencing data (along with other datasets Elaniti utilises)
  • Work with scientific teams (biogeochemical, wet chemistry, microbiological), leveraging bioinformatics datasets and tools to develop and test hypotheses
  • Work with technical teams to ensure the bioinformatics pipeline integrates with our API and app, allowing for the provision of relevant insights to Elaniti’s customers



About you

Education

  • PhD or Master’s degree in Bioinformatics, Computational Biology, Microbial Ecology, or a related field.


Experience

  • Proven experience with complex biological datasets, with a preference for soil microbial datasets.
  • Experience working in a DNA sequencing environment, managing high-throughput sequencing datasets and pipelines for genomics and protein analysis.
  • Strong knowledge of DNA/RNA sequencing platforms and processing common output data types.
  • Experienced user of soil sample analysis pipelines.
  • Familiarity with bioinformatics tools for prokaryotic genomics, metagenomics, phylogeny, and classification.
  • Experience with functional analytics and attribution tools.


Technical Skills

  • Proficiency in Python and shell scripting.
  • Familiarity with statistical methods for analysing genomics data.
  • Experience (or eagerness) in working with AI, Machine Learning, and/or Large Language Models (LLMs).
  • Knowledge of version control systems (e.g., Git).


Soft Skills

  • Excellent problem-solving and parallel thinking abilities.
  • Accountability seeking behaviour, adaptability, and strong work ethic.
  • Excellent verbal and written communication.


We have an open mind in terms of the experience and background a successful candidate may bring. If you do not meet all the criteria on the list but still think you are a good fit, please reach out. If you are passionate about our work, and excited to learn, we would love to hear from you!



Benefits

  • c.£50,000-£60,000 annual salary dependent on experience
  • 30 days annual leave (excluding Bank Holidays)
  • Remote/flexible/hybrid working options available
  • Share options available in a fast growing company for this integral role
  • Pension scheme
  • Personal development budget Recruitment process




Send your CV to and a brief note describing your interest.If you are selected to go further, the process will proceed as follows:

  • Initial video call with one of the team
  • Chat with CTO
  • Chat with Bioinformatics advisor
  • Technical test
  • Offer




About Elaniti


We are Elaniti and we help farmers and agronomists unlock the power of their soil microbiome for healthier harvests. Soil is fundamental to life on Earth - our soils are responsible for 95% of the food we eat. But through conventional farming, our soils are becoming increasingly degraded. The transition to sustainable and regenerative agriculture has become urgent and inevitable, and must be expedited if we are to reach our Net Zero goals. Elaniti works within the agricultural sector to support yield, nutrient use efficiency and disease management objectives, leveraging advancements in DNA sequencing, bioinformatics, and Machine Learning/AI to provide increasingly precise decision making information to growers.

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