Data Scientist

Position Title: Data Scientist - Bioinformatician

Department: Bioinformatics / Research / Life Science

Location: Hyderabad

Type: Full-time

Job Overview:

We are seeking a highly skilled Bioinformatician with expertise in transcriptomics and next-generation sequencing (NGS) analysis, including mRNA-seq, Ribo-seq, and tRNA-seq pipelines. The ideal candidate will be responsible for developing and executing data analysis pipelines for high-throughput sequencing projects, with a focus on transcriptomics and multi-omics data integration. This position offers an excellent opportunity to contribute to cutting-edge research in a collaborative and dynamic environment.

Key Responsibilities:

• Design, implement, and optimize bioinformatics pipelines for RNA sequencing (RNA-seq), ribosome profiling (Ribo-seq), and tRNA sequencing (tRNA-seq) analysis.
• Perform comprehensive analysis of mRNA expression data, differential gene expression, and alternative splicing events.
• Preprocess and analyze transcriptomics datasets, including GEO data preprocessing, data normalization, and integration.
• Utilize advanced statistical techniques and bioinformatics tools for data analysis and interpretation.
• Work with multi-omics data, integrating transcriptomics with genomics, proteomics, and other relevant datasets.
• Conduct quality control of raw sequencing data and produce comprehensive reports for research teams.
• Develop custom scripts and workflows in R and Python to enhance analysis and visualization capabilities.
• Collaborate with cross-functional teams, including wet lab scientists and computational biologists, to support ongoing research projects.
• Stay updated with the latest developments in transcriptomics and bioinformatics tools and methodologies.

Qualifications:

• Education: PhD in Bioinformatics, Computational Biology, transcriptomics, or a related field, OR a Masters degree with relevant experience (2-3 years) in a related area.
• Experience:
• Minimum of 2-3 years of hands-on experience in bioinformatics, with a focus on transcriptomics analysis.
• Proven experience working with RNA-seq, Ribo-seq, and tRNA-seq data analysis pipelines.
• Strong background in transcriptomics, including gene expression analysis, differential expression, and data normalization techniques.
• Experience with multi-omics data integration and analysis.
• Technical Skills:
• Proficiency in R and Python for data analysis, statistical modeling, and visualization.
• Hands-on experience with bioinformatics tools and software such as STAR, TopHat, DESeq2, edgeR, Cufflinks, and others relevant to RNA-seq and related technologies.
• Familiarity with multi-omics databases and resources such as GEO, Ensembl, and others.
• Strong knowledge of data preprocessing and quality control steps, including handling large datasets and big data.
• Familiarity with version control systems (e.g., Git) and experience working in a Linux/Unix environment.
• Knowledge AI/ML Deep learning models.