Computational Biology & Bioinformatics Scientist, Chennai, Tamil Nadu

Zifornd; Chennai District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Zifornd in Chennai seeks a Computational Biologist/Bioinformatician to join our Global Bioinformatics Team. You will deploy bioinformatics solutions and collaborate with data science and cloud teams to support pharma and biotech customers.

You will help translate complex omics data into actionable insights for drug discovery, mentor junior staff, and shape services to evolving industry needs. Experience with omics data analysis and cloud pipelines is valued.

Qualifications

• PhD or Postdoc with 0-3 years in Computational Biology, Bioinformatics, or Statistical Genetics.
• Proficiency in building pipelines and analyzing multi-modal Omics data (Bulk RNAseq, scRNAseq, Proteomics, ATACseq, Microarray, Spatial transcriptomics).
• Strong communication to translate results into hypotheses and scientific insights for biomarker identification and patient stratification.
• Therapeutic Area exposure in Oncology, Immunology or Neuroscience is a plus.

Responsibilities

• Understand current and emergent problems and perform requirements analysis for customers.
• Engage with Genomics, Discovery Biology, Translational Genomics to shape services and align with industry needs.
• Deliver timely, scalable Omics solutions across genomics, transcriptomics, proteomics, metabolomics, and more.
• Apply bioinformatics pipelines, statistical modeling, ML/AI methods, and relational data systems to analyze heterogeneous data.
• Mentor junior team members through technical guidance and scientific reviews.

Skills

Omics data analysis

Biomarker discovery

Data visualization

Cloud computing

Education

PhD or Postdoc

Tools

R

Python

Nextflow

Snakemake

WDL

CWL

AWS SageMaker

Job description

Position Overview

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. Someone that can build scientific relationships, understand industrychallengesand shape our Bioinformatics Solutions, working in collaboration with our global Bioinformatics, Data Science and Cloud teams.

This is an exciting opportunity to join our Global Bioinformatics Team to help leading Pharmaceutical and Biotech customers deploy and supportcutting edgeBioinformatics Solutions and Technology globally.

Responsibilities

• Understand current and emergent problems, needs, requirements analysis, of the customers.

• Engage the scientific community (Genetics, Discovery Biology, Translational Genomics), taking insights and learnings from customers, scientific literature, conferences to shape, commercialize, and continuously evolve bioinformatics services aligned with emerging technologies and therapeutic priorities.

• Delivertimely, scalable Omics solutions (e.g.genomics, transcriptomics, metagenomics, epigenomics, microbiome,metabolomicsand proteomics).

• Apply and integrate bioinformatics pipelines, statistical modeling, machine learning/AI methods, and relational data systems to analyze heterogeneous internal and external datasets, enabling hypothesis generation and decision-making in drug discovery and translational research.

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

Qualification & Background

• PhD orPostdocwith 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).
• Ability to communicate complex ideas clearly and concisely. Correlate results, generate hypothesis and scientific insights for applications in biomarker identification,indicationselectionand patient stratification.
• Having Therapeutic Area exposure in the areas Oncology, Immunology or Neuroscience is a plus.

• Programming & Computing - Proficient in R (including Shiny for interactive visualization) and Python; experienced with cloud computing (AWS S3, EC2, SageMaker).
• Pipeline and workflow development - Proficiency in Nextflow, Snakemake, WDL, CWL, AWS HealthOmics.
• Demonstrate expertise in quantitative statistics and data modeling, including regression, linear models, and hypothesis testing.
• Knowledge and understanding of public databases & tools (GEO, TCGA,GTEx, MsigDB, GWAS Catalog, CCLE, OpenTargetset al), applications in drug discovery,analysisand integration of multi-omics & biobank data.

• Are familiar with (or eager to work with) large biobanks (UK Biobank, FinnGen), GWAS, PheWAS, proteomics data, and computationally intensive environments like HPC clusters, Docker, or Snakemake.
• Are a creative problem-solver and quick learner who remains productive when dealing with ambiguity and experimenting with new approaches.
• Act as a strong collaborator with the organizational skills and initiative needed to drive projects toward team goals.