Bioinformatics Expert - Genomics Specialist

Mercor; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Mercor is hiring for a bioinformatics researcher to perform advanced data-analysis tasks on sequencing and omics datasets. You will create precise, multi-step questions and anonymize data from public archives or private sources for analysis.

The role requires developing reproducible workflows using Python or R and communicating results with transparency about uncertainties. The ideal candidate has a PhD or equivalent research experience in bioinformatics, with hands-on sequencing analysis and

Qualifications

• Masters or PhD in bioinformatics, computational biology, genomics, statistical genetics or quantitative biology.
• Hands-on experience analyzing sequencing and omics data from raw reads to interpretation.
• Experience with samtools, bcftools, bedtools, BWA, Bowtie2, BLAST, plus Python (pandas, Biopython, pysam) or R/Bioconductor (DESeq2, edgeR, limma, GenomicRanges).
• Ability to write and run Jupyter notebooks that reproduce work exactly.
• Clear, precise scientific writing.
• Access to unpublished datasets is a strong plus.
• Deep knowledge in a niche area of genomics is a plus.

Responsibilities

• Complete realistic, multi-step scientific data-analysis tasks in bioinformatics.
• Write original bioinformatics questions with exact and objective answers.
• Choose and anonymize data from public archives or private data for analysis.
• Use scientific software, code, and command-line tools to generate reproducible analyses.
• Develop a Jupyter validation notebook in Python or R reproducing the answer.
• Interpret results with clear communication of assumptions, uncertainty, and conclusions.

Skills

Data analysis

Python

R

Jupyter notebooks

Scientific writing

Education

Master's or PhD in bioinformatics

Tools

samtools

bcftools

bedtools

BWA

Bowtie2

BLAST

pandas

Biopython

pysam

DESeq2

edgeR

limma

GenomicRanges

Job description

What you'll do:

• Complete realistic, multi-step scientific data-analysis tasks in bioinformatics

• Write original bioinformatics questions where each answer is exact and objective

• Choose and anonymize data (e.g. from public archives such as GEO, SRA/ENA, ArrayExpress, PRIDE, PDB, MGnify or from your own unpublished lab data) for the model to analyze

• Use scientific software, code, and command-line tools to generate reproducible analyses and structured final outputs

• Develop a Jupyter validation notebook, analyzing the data in Python or R, which reproduces the correct answer to your question

• Interpret results in the context of the underlying biological or translational question, clearly communicating assumptions, uncertainty, and conclusions

Who we’re looking for:

• Masters or PhD (or equivalent research experience) in bioinformatics, computational biology, genomics, statistical genetics, quantitative biology or a closely related field

• Hands-on experience analyzing sequencing and omics data (bulk or single-cell RNA-seq, WGS/WES, variant calling, metagenomics, proteomics or similar), from raw reads to interpretation

• Experience with one or more of the following tools: samtools, bcftools, bedtools, BWA, Bowtie2, BLAST, plus Python (pandas, Biopython, pysam) or R/Bioconductor (DESeq2, edgeR, limma, GenomicRanges)

• Able to write and run Jupyter notebooks that reproduce your work exactly

• Clear, precise scientific writing

• Access to unpublished or private datasets you have the right to share is a strong plus

• Deep knowledge of at least one niche area, such as a non-model organism, an unusual assay, or a specialized area of genomic interpretation is a strong plus