Founding Scientist Synthetic Genomics - Exonic

Key Responsibilities Design and implement unsupervised machine learning pipelines to predict functional genomic elements and guide synthetic genome construction. Integrate high‑throughput sequencing data with CRISPR‑based perturbation experiments to refine predictive models. Collaborate with computational biologists and wet‑lab scientists to validate model outputs and iterate on design strategies. Publish findings in peer‑reviewed journals and present at scientific conferences. Mentor junior researchers and contribute to the growth of the synthetic genomics research group. Requirements PhD in Computational Biology, Genomics, or related field with strong machine learning background. Proven experience in unsupervised learning, deep learning, or generative models applied to biological data. Hands‑on expertise with CRISPR/Cas9 genome editing and high‑throughput sequencing analysis. Strong programming skills in Python and familiarity with bioinformatics tools (e.g., Biopython, GATK). Excellent communication skills and ability to translate complex data insights into actionable biological strategies. #J-18808-Ljbffr Gravity Engineering Services Pvt Ltd.