SCIENTIST - Python

Job description

**Job Description: Bioinformatics Analyst (2+ Years Experience)- C2** **Role Overview** We are looking for a highly motivated **Bioinformatics Analyst** with 2-5 years of experience to support genomic and multi-omics data analysis initiatives. The candidate will work closely with data scientists, biologists, and engineering teams to derive meaningful insights from complex biological datasets and contribute to cutting-edge healthcare and life sciences projects. **Key Responsibilities** - Perform analysis of **genomic, transcriptomic, or multi-omics datasets** - Develop and execute **bioinformatics pipelines** for data processing and analysis - Conduct **quality control, preprocessing, and normalization** of biological data - Interpret results and generate **biological insights, reports, and visualizations** - Work with large-scale datasets using **Python/R and relevant bioinformatics tools** - Support integration of bioinformatics workflows into **data platforms and pipelines** - Collaborate with cross-functional teams (data science, clinical, product) - Maintain proper documentation of methods, pipelines, and findings - Stay updated with the latest tools, databases, and methodologies in bioinformatics **Required Skills & Qualifications** - Bachelor?s/Master?s degree in **Bioinformatics, Computational Biology, Biotechnology, or related field** - ~2 years of hands-on experience in **bioinformatics analysis** - Strong programming skills in **Python and/or R** - Experience with: - **NGS data analysis (WGS/WES/RNA-seq)** - Tools such as **BWA, GATK, Bowtie, SAMtools, FastQC** - **Variant calling, gene expression analysis, pathway analysis** - Familiarity with bioinformatics databases: - **NCBI, Ensembl, UCSC Genome Browser, KEGG** - Understanding of **genomics/proteomics concepts** - Experience working in **Linux/Unix environments** **Good to Have (Preferred Skills)** - Experience with Omics/ **multi-omics integration (,genomics, proteomics, metabolomics)** - Knowledge of **cloud platforms (AWS/Azure/GCP)** - Exposure to **machine learning in bioinformatics** - Experience with workflow tools: - **Nextflow, Snakemake, CWL** - Familiarity with **containerization (Docker)** 1. **Soft Skills** - Strong analytical and problem-solving skills - Good communication skills for cross-team collaboration - Ability to work independently and manage tasks efficiently - Attention to detail and scientific rigor