InstaDeep
InstaDeep

Computational Geneticist with AI Focus

Job summary
Permanent contract
Paris
Salary: Not specified
A few days at home
Skills & expertise
Generated content
Bioinformatics
Problem-solving skills
Perl
Python
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InstaDeep
InstaDeep

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The position

Job description

InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.

Join us to be a part of the AI revolution!

JOB DESCRIPTION

We are in search of a highly skilled and motivated Computational Geneticist who has an interest in artificial intelligence (AI) to join our research and development team. As a Computational Geneticist, your main focus will be on utilizing AI techniques, particularly Language and Learning Models (LLMs), to analyze and interpret genomic data. Your contributions will enhance our understanding of genetic mechanisms and their implications in various domains, including healthcare and agriculture. Collaborating with interdisciplinary teams, you will create computational models, develop algorithms, and apply statistical methods to analyze large-scale genomic datasets while integrating AI approaches into genetic research. The ideal candidate for this position should have a solid background in genetics, computational biology, and bioinformatics. Additionally, a strong interest in AI methods, with a particular emphasis on LLMs, is highly desired. We strongly encourage plant geneticists to apply, as your expertise and knowledge in the field of plant genetics will be instrumental in pioneering advancements in agricultural research and development.

Responsibilities

  • Apply AI techniques, specifically LLMs, to analyze and interpret large-scale genomic datasets.
  • Develop and implement computational tools, algorithms, and pipelines for data processing, quality control, and analysis.
  • Utilize LLMs to extract meaningful insights from genetic data, including characterizing genetic variations, gene expression patterns, and regulatory networks associated with phenotypic traits or diseases.
  • Collaborate with interdisciplinary teams to design and execute research projects, leveraging AI approaches, and contribute to data interpretation and result validation.
  • Stay up-to-date with the latest advancements in genomics, AI and LLM technologies and apply innovative approaches to solve biological problems.
  • Communicate research findings through oral presentations and written reports, highlighting the integration of AI and LLMs in genetic research.
  • Collaborate with external partners or collaborators foster collaborations and stay abreast of AI advancements in genomics.
  • Ensure responsible data handling and AI model development practices.

    • Requirements

  • Ph.D. in Genetics, Computational Biology, Bioinformatics, or a related field.
  • Strong knowledge of genetics, genomics, and strong interest in the application of AI techniques in these fields.
  • Proficiency in programming languages such as Python, R, and/or Perl, as well as experience with bioinformatics tools and databases.
  • Experience with statistical analysis, data mining, and/or machine learning techniques applied to genomics data.
  • Solid understanding of molecular biology and genetics principles.
  • Excellent problem-solving skills and ability to work independently as well as part of a team.
  • Strong written and verbal communication skills, with the ability to present complex scientific concepts to diverse audiences.
  • Publication record demonstrating contributions to the field of computational genomics
  • Familiarity with high-performance computing and cloud-based computing environments is a plus.

    • * Important: All applicants must submit their CV/Resume and Cover letter in English. *

    Our commitment to our people

    We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.

    Right to work: Please note that you will require the legal right to work in the location you are applying for.

    Preferred experience

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