GenAI Developer

Yesterday

Apply Now

Receive Emails with Similar Jobs

Paralucent

WebsiteLinkedInAll Job Openings

Data and Analytics • Automation • Application Modernization • Cloud Services • Artificial Intelligence

11 - 50

Description

• We are seeking 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 and have a strong track record of doing so, we want to hear from you. • 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.

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.