Paralucent
Data and Analytics • Automation • Application Modernization • Cloud Services • Artificial Intelligence
GenAI Developer
December 12
Paralucent
Data and Analytics • Automation • Application Modernization • Cloud Services • Artificial Intelligence
Description
• Seeking an experienced GenAI Developer with AI and genetics expertise. • Develop and implement advanced AI and machine learning algorithms for genetic data analysis. • Collaborate with geneticists, biologists, and data scientists on research questions. • Design computational pipelines for large-scale genetic datasets. • Implement data preprocessing, feature engineering, and quality control procedures. • Develop predictive models for genotype-phenotype associations. • Optimize AI models for performance and scalability. • Conduct statistical analyses of genetic variation. • Collaborate on software tools for genetic research. • Stay current with advancements in AI and genetics. • Mentor junior team members.
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.
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