Data Science and AI Expert for Genomics Research

3 weeks ago

Bengaluru, Karnataka, India MEDGENOME Full time

We are the market leader in clinical genomic space in India, offering a comprehensive range of diagnostic services to doctors and researchers. Our state-of-the-art Next Generation Sequencing (NGS) lab in Southeast Asia houses cutting-edge genome sequencing platforms.

MedGenome is a founding member of GenomeAsia 100K, an initiative to sequence 100,000 Genomes in Asia. We have an exciting opportunity for a full-time Data Science and AI Expert for Genomics Research position in Bengaluru.

Key Responsibilities:

  • Develop and lead AI/ML models for analyzing large-scale multi-omics datasets to uncover new biological insights and biomarkers.
  • Build machine learning models from clinical and research diagnostics data to prioritize disease-causing variants/mutations.
  • Collaborate with biologists, bioinformaticians, genome analysts, software engineers, and data scientists to design and implement computational methods for integrating multi-omics data sets.
  • Implement advanced machine learning techniques such as deep learning, reinforcement learning, and unsupervised learning for complex biological data to improve predictions and classifications in disease and discovery research.
  • Design and implement machine learning solutions that boost the efficiency and effectiveness of clinical diagnostics.
  • Utilize LLMs to extract meaningful insights from genetic data, including genetic variations, gene expression patterns, and regulatory networks associated with phenotypic traits or diseases.
  • Publish scientific findings in peer-reviewed journals and present research at conferences.

Required Skills and Qualifications:

  • 6+ years of experience in Machine Learning & AI in genomics or biotechnology.
  • Expertise in building and deploying machine learning models, particularly in areas such as genomics, proteomics, or multi-omics data integration.
  • Strong understanding of omics data generation techniques, including NGS and array of exome/genome sequencing, Methylation, RNA-seq, proteomics, and other high-throughput assays.
  • Familiarity with bioinformatics tools, data pipelines, and databases (e.g., Nextflow, Snakemake, Ensembl, UCSC Genome Browser).
  • PhD in Computer Science, Machine Learning, Artificial Intelligence, Bioinformatics, Statistics, or a related field.

About Us:

As a leading player in the clinical genomic space, we offer a dynamic and challenging work environment that fosters innovation and growth. With a strong focus on R&D and collaboration, our team works together to advance the field of genomics and make a meaningful impact.

Salary:

Roughly ₹1800,000 per annum (approximately $22,000 USD), depending on qualifications and experience.

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