Bioinformatician

In Technology Group; Oxford; Hybrid; GBP 60,000 - 75,000; Full time

Job summary

Join a cutting-edge leader in medical and drug discovery as a Bioinformatician. In this role, you'll leverage your expertise in bioinformatics to analyze large-scale datasets, driving innovation in healthcare. Collaborate with data scientists and machine learning engineers to design experiments and interpret results that could lead to new therapies and treatments. This forward-thinking team is dedicated to transforming healthcare, and your contributions could unlock the next generation of life-saving therapies. If you're passionate about computational methods and their impact on medicine, this opportunity is for you.

Qualifications

• Experience in bioinformatics tools and databases for data analysis.
• Strong proficiency in programming languages for data analysis.
• Solid understanding of omics data and statistical models.

Responsibilities

• Analyze genomic and clinical data to support drug discovery.
• Develop bioinformatics tools for high-throughput data analysis.
• Collaborate with teams to design data-driven experiments.

Skills

Python

R

Perl

Statistical Analysis

Machine Learning

Data Visualization

Communication Skills

Education

Bachelor's in Bioinformatics

Master's in Computational Biology

PhD in Bioinformatics

Tools

BLAST

Bioconductor

Ensembl

AWS

GCP

Azure

MATLAB

Jupyter

Job description

Bioinformatician (Medical & Drug Discovery)

Oxford (2 days a week onsite)

Competitive (Up to £75,000, DOE) + Annual Bonus and Excellent Benefits

Join a cutting-edge leader in medical and drug discovery, harnessing the power of bioinformatics to drive breakthroughs in healthcare. If you're passionate about using computational methods to solve complex biological problems and contribute to the future of medicine, we want to hear from you.

Role Overview:

As a Bioinformatician, you'll work at the intersection of biology, data science, and drug discovery. You’ll analyze large-scale genomic, clinical, and molecular datasets to extract meaningful insights that fuel innovation in biomedical research. Collaborating closely with data scientists, machine learning engineers, and scientific experts, your work will have a direct impact on the development of new therapies and treatments.

Key Responsibilities:

• Analyze and interpret genomic, transcriptomic, proteomic, and clinical data to support drug discovery projects.
• Develop and optimize bioinformatics tools and pipelines for high-throughput data analysis.
• Collaborate with machine learning engineers and biologists to design data-driven experiments and interpret results.
• Use bioinformatics software and databases to uncover insights into disease mechanisms and potential therapeutic targets.
• Apply statistical models and computational methods to identify biomarkers, drug targets, and other key biological insights.
• Stay up-to-date with the latest bioinformatics techniques, software, and trends in drug discovery.

Requirements:

• Bachelor’s, Master’s, or PhD in Bioinformatics, Computational Biology, or a related field.
• Strong proficiency in programming languages like Python, R, or Perl for data analysis.
• Experience with bioinformatics tools and databases (e.g., BLAST, Bioconductor, Ensembl).
• Solid understanding of genomics, transcriptomics, proteomics, and other omics data.
• Familiarity with cloud platforms (AWS, GCP, Azure) and high-performance computing.
• Experience with statistical analysis, machine learning, or data visualization tools (e.g., R, MATLAB, Jupyter).
• Strong communication skills to collaborate across teams and present findings to both technical and non-technical stakeholders.

Desirable:

• Experience with next-generation sequencing (NGS) data analysis and pipelines.
• Knowledge of molecular biology, cheminformatics, or systems biology.
• Familiarity with data privacy and regulatory considerations in healthcare AI.

Be part of a forward-thinking team dedicated to transforming healthcare through bioinformatics. Your contributions could help unlock the next generation of life-saving therapies and medical innovations.