Logo of Huzzle

Home

Matches

Explore

Manage

Computational Geneticist with AI Focus

image

InstaDeep

4d ago

  • Job
    Full-time
    Entry, Junior & Mid Level
  • Research & Development
  • Paris
  • Quick Apply

AI generated summary

  • You need a Ph.D. in a relevant field, programming skills (Python, R), experience in genomics and AI, strong problem-solving abilities, and effective communication. Publications in genomics are essential.
  • You will analyze genomic data using AI and LLMs, develop computational tools, collaborate on research projects, and communicate findings while ensuring responsible data handling 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.

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.

FAQs

What is the primary focus of the Computational Geneticist position?

The primary focus is on utilizing AI techniques, particularly Language and Learning Models (LLMs), to analyze and interpret genomic data.

What are the essential qualifications for this position?

A Ph.D. in Genetics, Computational Biology, Bioinformatics, or a related field is required, along with strong knowledge of genetics and genomics.

Are there specific programming languages that candidates should be proficient in?

Yes, candidates should be proficient in programming languages such as Python, R, and/or Perl.

What type of collaborations can the Computational Geneticist expect to be involved in?

The role involves collaborating with interdisciplinary teams and external partners on research projects involving AI and genomics.

What skills are essential for this role?

Essential skills include excellent problem-solving, strong written and verbal communication, and a solid understanding of molecular biology and genetics.

Is a publication record necessary for applicants?

Yes, a publication record demonstrating contributions to the field of computational genomics is required.

What is the working model of InstaDeep for this role?

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.

Does InstaDeep encourage applications from underrepresented groups?

Yes, InstaDeep encourages and supports applicants from underrepresented groups across the globe.

Is experience with statistical analysis or machine learning techniques required?

Yes, experience with statistical analysis, data mining, and/or machine learning techniques applied to genomics data is required.

What is the company's stance on data handling and AI model development practices?

Candidates are expected to ensure responsible data handling and AI model development practices.

InstaDeep

Accelerate the transition to an AI-first world that benefits everyone

Technology
Industry
51-200
Employees
2014
Founded Year

Mission & Purpose

InstaDeep is a leading global technology company offering a range of AI solutions, ranging from optimized pattern-recognition, GPU-accelerated insights, to self-learning decision making systems. - Decision-making systems: Life and business are all about decisions. InstaDeep harnesses the power of reinforcement learning to create systems that can make decisions on their own, based on their own autonomous training. Many fields can benefit greatly from this technology, be it robotics, mobility, logistics, finance or healthcare. - GPU-accelerated insights: When you try to deploy AI in your business, compute power is key. A Multi-GPU setup can be messy and complicated. With Nvidia’s DGX-1 (one of the most powerful AI machines on the market), InstaDeep can help you achieve insane computing power to solve even the most intensive AI problems. - Optimized Deep Learning: Deep Learning delivers high-performance AI for pattern recognition yet is notoriously time-consuming to fine-tune. InstaDeep boosts this process to save you time and money on your computer vision, natural language processing or predictive analytics project.