Job Description: We are seeking a passionate and detail-oriented Genomic Data Analyst to join our dynamic team for an innovative AI project in genomic analysis. The ideal candidate will have a strong background in bioinformatics or genomics, with hands-on experience in analyzing genomic data and next-generation sequencing (NGS) technologies. This role offers an exciting opportunity to apply your expertise in genomics to advance personalized medicine solutions through AI applications. Key Responsibilities: - Analyze and interpret complex genomic datasets derived from next-generation sequencing (NGS). - Employ bioinformatics tools to execute comprehensive data analysis and derive meaningful insights for precision medicine applications. - Collaborate with interdisciplinary teams, including data scientists and researchers, to integrate AI methodologies into genomic studies. - Develop and maintain data analysis pipelines to streamline genomic data processing and ensure data quality. - Conduct exploratory data analysis to identify significant patterns, variants, and biomarkers associated with diseases. - Create visualizations and reports to communicate findings effectively to both technical and non-technical stakeholders. - Stay updated on the latest advancements in genomic technologies and AI applications in genomics. Qualifications: - Master's degree in Bioinformatics, Genomics, Computational Biology, or a related field. - Relevant experience in genomic data analysis, particularly involving next-generation sequencing. - Proficiency in programming languages such as Python and R, with a strong understanding of the Bioconductor suite. - Familiarity with bioinformatics tools and databases (e.g., UCSC Genome Browser, NCBI GenBank, Ensembl). - Knowledge of AI applications in genomics is a plus, providing a competitive advantage. - Excellent problem-solving skills and the ability to engage in critical thinking. - Strong communication skills, both written and verbal, to convey complex information clearly. Job Type: Full-time Pay: Up to ₹10,000.00 per month Schedule: Monday to Friday Experience: total work: 1 year (Required) Work Location: In person Application Deadline: 23/02/2025

Key responsibilities: 1. Design, develop, and implement advanced machine learning models tailored for precision medicine applications 2. Collaborate with data scientists and domain experts to identify and address key challenges in model training and evaluation 3. Optimize algorithms to improve model performance and reduce computational costs 4. Utilize techniques such as hyperparameter tuning and feature engineering to enhance model accuracy 5. Work closely with software engineers to integrate machine learning models into production systems 6. Monitor and evaluate models in production, ensuring they meet accuracy and performance benchmarks 7. Implement systems for model retraining based on incoming data and evolving requirements 8. Maintain comprehensive documentation of model development processes, findings, and updates for future reference and knowledge sharing 9. Provide technical support and guidance to team members regarding AI model capabilities and functionalities. Other requirements 1. Bachelor’s or master’s degree in computer science, data science, artificial intelligence, or a related field 2. Strong understanding of machine learning algorithms and frameworks 3. Familiarity with statistical techniques and concepts to analyze and interpret model performance 4. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy) 5. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying machine learning models Job Types: Full-time, Internship Pay: Up to ₹10,000.00 per month Schedule: Monday to Friday Experience: total work: 1 year (Preferred) Work Location: In person Application Deadline: 15/07/2025