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.
• 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.