Senior Bioinformatician

Discover International; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is looking for a talented Bioinformatician to join their innovative drug discovery team. This role offers a unique opportunity to apply your expertise in computational biology and bioinformatics to analyze RNA sequencing data and support the development of cutting-edge RNA-based therapies. You will work collaboratively with molecular biologists and clinicians to integrate findings and contribute to groundbreaking research in oncology. If you are passionate about making a significant impact in the field of bioinformatics and have a strong background in machine learning, this position is perfect for you.

Qualifications

• 3-5 years of experience in drug discovery post-Ph.D.
• Proficiency in Python, R, and Perl for data analysis.

Responsibilities

• Analyze RNA-Seq data to uncover expression patterns.
• Develop algorithms for identifying RNA therapeutic targets.
• Collaborate with interdisciplinary teams for research integration.

Skills

Python

R

Perl

Machine Learning

Data Visualization

Problem-solving

Critical Thinking

Collaboration

Education

Ph.D. in Bioinformatics

Ph.D. in Computational Biology

Ph.D. in Genomics

Tools

AWS

NextFlow

SQL

RNA sequencing data analysis

Job description

Job Description

We are seeking a highly skilled and motivated Bioinformatician to join our drug discovery team. The successful candidate will focus on the development and application of computational approaches to analyze biology in cancer (and other therapeutic areas ), identify targets, and support the development of RNA-based therapies. This role offers an exciting opportunity to contribute to groundbreaking research at the intersection of bioinformatics, oncology, and RNA therapeutics.

Responsibilities

• Data Analysis and Interpretation: Analyze high-throughput RNA sequencing (RNA-Seq) data to uncover differential expression patterns, alternative splicing events, and RNA modifications in cancer.
• Target Identification: Develop algorithms and pipelines to identify and prioritize RNA molecules (e.g., mRNAs, lncRNAs, miRNAs) as potential therapeutic targets.
• Collaborative Research: Work closely with molecular biologists, chemists, and clinicians to integrate bioinformatics findings with experimental and clinical data.
• Pipeline Development: Design, implement, and optimize bioinformatics pipelines for RNA-focused drug discovery, ensuring reproducibility and scalability.
• Machine Learning: Apply machine learning and statistical methods to predict RNA structure-function relationships, identify biomarkers, and assess patient stratification.
• Data Visualization: Create intuitive and impactful visualizations to communicate complex results to multidisciplinary teams.
• Scientific Communication: Prepare reports, presentations, and publications to share insights with stakeholders and the broader scientific community.

Qualifications

• Education: Ph.D. (preferred) in Bioinformatics, Computational Biology, Genomics, or a related field.
• 3-5 years experience, post Ph.D. in matrix pharma or biotech drug discovery team.
• Technical Skills: Proficiency in programming languages such as Python, R, and/or Perl. Experience with RNA sequencing data analysis (e.g., differential expression, splicing analysis). Familiarity with databases and tools for RNA biology (e.g., Ensembl, GENCODE, RNAcentral). Knowledge of cancer genomics and transcriptomics. Expertise in machine learning and data mining techniques is a plus.
• Experience working with cloud services (e.g., AWS), containerization, workflow languages (e.g., NextFlow), and SQL databases.
• Soft Skills: Strong problem-solving and critical-thinking abilities. Excellent communication and collaboration skills. Ability to manage multiple projects in a fast-paced environment.