Computational Biology and Bioinformatics Scientist

1w1 week ago

Zifo

Chennai, IN · Full-time · INR 1,200,000 – INR 2,500,000

About this role

We are looking for experienced Computational Biologists and Bioinformaticians with a strong scientific background and understanding of real-world applications in drug discovery and development. Build scientific relationships, understand industry challenges and shape our Bioinformatics Solutions. Work in collaboration with our global Bioinformatics, Data Science and Cloud teams.

This is an exciting opportunity to join our Global Bioinformatics Team. Help leading Pharmaceutical and Biotech customers deploy and support cutting edge Bioinformatics Solutions and Technology globally. Engage the scientific community in Genetics, Discovery Biology, and Translational Genomics.

Understand current and emergent problems, needs, and requirements analysis of customers. Deliver timely, scalable Omics solutions including genomics, transcriptomics, metagenomics, epigenomics, microbiome, metabolomics and proteomics. Apply and integrate bioinformatics pipelines, statistical modeling, machine learning/AI methods, and relational data systems.

Research, assess, recommend, and integrate various data types to drive programs and clinical decisions. Contribute hands-on to critical scientific initiatives and deliveries. Mentor junior team members via technical guidance, rigorous scientific review, and workflow standardization.

Requirements

PhD or Postdoc with 0-3 years of experience in Computational Biology, Bioinformatics, Statistical Genetics
Proficiency in building pipelines and analyzing multi-modal Omics data (Bulk RNAseq, scRNAseq, Proteomics, ATACseq, Microarray, Spatial transcriptomics)
Proficiency in R (including Shiny for interactive visualization) and Python; experienced with cloud computing (AWS S3, EC2, SageMaker)
Proficiency in Nextflow, Snakemake, WDL, CWL, AWS HealthOmics
Expertise in quantitative statistics and data modeling, including regression, linear models, and hypothesis testing
Knowledge of public databases and tools (GEO, TCGA, GTEx, MsigDB, GWAS Catalog, CCLE, OpenTargets) and multi-omics integration
Familiar with large biobanks (UK Biobank, FinnGen), GWAS, PheWAS, proteomics data, HPC clusters, Docker, or Snakemake
Therapeutic Area exposure in Oncology, Immunology or Neuroscience is a plus

Responsibilities

Understand current and emergent problems, needs, requirements analysis of customers
Engage the scientific community (Genetics, Discovery Biology, Translational Genomics), taking insights from customers, scientific literature, conferences to shape and evolve bioinformatics services
Deliver timely, scalable Omics solutions (e.g. genomics, transcriptomics, metagenomics, epigenomics, microbiome, metabolomics and proteomics)
Apply and integrate bioinformatics pipelines, statistical modeling, machine learning/AI methods, and relational data systems to analyze heterogeneous datasets
Research, assess, recommend, and integrate various data types to drive programs and clinical decisions
Contribute hands-on to critical scientific initiatives and deliveries
Mentor junior team members via technical guidance, rigorous scientific review, and workflow standardization