Remote GenAI Developer

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Paralucent

πŸ“Remote - Worldwide

Job highlights

Summary

Join our clients innovative team as an experienced GenAI Developer with a minimum of 5 years of hands-on experience in the intersection of AI and genetics. If you are passionate about leveraging AI to advance genetic research, we want to hear from you.

Requirements

  • A minimum of 5 years of professional experience as a GenAI Developer with a focus on applying AI in genetics
  • Proficiency in machine learning, deep learning, and data mining techniques
  • Strong programming skills in languages such as Python or R
  • Experience with genetic data formats (e.g., VCF, PLINK) and genomic databases
  • Knowledge of relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Strong understanding of genetics and genomics, including GWAS and NGS data
  • Experience working with cloud computing platforms for large-scale data processing
  • Excellent problem-solving skills and a data-driven mindset
  • Strong communication and collaboration skills
  • Ability to work independently and in a team
  • Research publications or contributions to the field are a plus

Responsibilities

  • Develop and implement advanced AI and machine learning algorithms for genetic data analysis and interpretation
  • Collaborate with geneticists, biologists, and data scientists to define and address research questions and hypotheses
  • Design and develop computational pipelines for processing and analyzing large-scale genetic datasets
  • Implement data preprocessing, feature engineering, and quality control procedures
  • Develop predictive models and algorithms for genotype-phenotype associations and genetic risk prediction
  • Optimize AI models for performance and scalability to handle vast genetic datasets
  • Conduct statistical analyses to interpret genetic variation and disease associations
  • Collaborate on the development of software tools and applications that support genetic research and diagnostics
  • Stay current with the latest advancements in AI, machine learning, and genetic research
  • Mentor junior team members and share knowledge within the research team

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