Bioinformatics Expert - Genomics Specialist

Mercor; Greater London; Sur place; GBP 45 000 - 65 000; Plein temps

Résumé du poste

Mercor seeks a bioinformatics specialist to perform realistic, multi-step data analyses and to design exact, objective questions. You will anonymize data from public archives or private sources for rigorous modeling and analysis with Python or R in Jupyter, producing reproducible outputs and clear interpretations.

The role emphasizes precise scientific writing and an ability to communicate uncertainty and conclusions within a translational biology context.

Qualifications

• Masters or PhD (or equivalent) in bioinformatics or related field.
• Hands-on experience analyzing sequencing and omics data from raw reads to interpretation.
• Experience with tools listed (samtools, bcftools, bedtools, BWA, Bowtie2, BLAST) and Python or R/Bioconductor.
• Ability to write and run Jupyter notebooks that reproduce work exactly.
• Clear, precise scientific writing.
• Access to unpublished/private datasets is a strong plus.
• Deep knowledge of at least one niche area is a strong plus.

Responsabilités

• 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 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 to reproduce the answer.
• Interpret results in the context of the underlying biological question, communicating assumptions and conclusions.

Connaissances

Analytical thinking

Scientific writing

Reproducible research

Formation

Masters or PhD in bioinformatics or related field

Outils

samtools

bcftools

bedtools

BWA

Bowtie2

BLAST

Python (pandas, Biopython, pysam)

R/Bioconductor (DESeq2, edgeR, limma, GenomicRanges)

Jupyter notebooks

Description du poste

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and anonymize data (e.g. from public archives such as GEO, SRA/ENA, ArrayExpress, PRIDE, PDB, MGnify or from your own unpublished lab data) for the model to analyze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