Computational Biologist - Fully Remote | Up to $110/hr

Mercor; Greater London; Remote; GBP 50,000 - 75,000; Full time

Job summary

Mercor seeks a bioinformatics specialist to perform multi-step data analyses on sequencing and omics data, developing reproducible workflows and Jupyter notebooks in Python or R. You will curate data from public archives or private sources, frame precise, objective questions, and clearly interpret results with transparent assumptions and uncertainty.

Applicants should hold a Masters or PhD in a related field and demonstrate hands-on experience across essential tools and pipelines.

Qualifications

• Masters or PhD in bioinformatics, computational biology, genomics, statistical genetics, quantitative biology or 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• Access to unpublished or private datasets you have the right to share is a strong plus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.

Responsibilities

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and anonymize data (e.g. from public archives such as GEO, SRA/ENA, ArrayExpress, PRIDE, PDB, MGnify or from your own unpublished lab data) for the model to analyze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

Skills

Sequencing data analysis

Python

R/Bioconductor

Biopython

pysam

samtools

bcftools

bedtools

BWA

Bowtie2

BLAST

GenomicRanges

DESeq2

edgeR

limma

Education

Masters or PhD in bioinformatics, computational biology, genomics, statistical genetics, quantitative biology or related field

Tools

samtools

bcftools

bedtools

BWA

Bowtie2

BLAST

Python (pandas, Biopython, pysam)

R/Bioconductor (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