Senior Scientist - Oligo Bioinformatics

优缺点分析

角色解读

• Progression to Principal Scientist or Director roles within the Oligonucleotide Therapeutics group.
• Opportunity to lead computational design strategies for next-generation RNA therapeutics from target ID to lead optimization.
• Design and optimize siRNA and ASO sequences using bioinformatics platforms for targeted gene silencing.
• Analyze gene expression and high-throughput screening datasets to identify suitable targets and structure-activity relationships (SAR).
• Collaborate with chemists and biologists to integrate computational approaches into experimental workflows.
• Ph.D. in a relevant scientific discipline with over 3 years of dedicated experience in the oligonucleotide field.
• Proficiency in bioinformatics tools (e.g., BLAST, RNAfold) and analyzing large genomic/transcriptomic datasets (RNA-seq, scRNA-seq).
• Strong problem-solving and cross-functional collaboration skills in a fast-paced research environment.

申请策略

• Ensure your work authorization status is clearly stated, as the role explicitly requires eligibility to work in the US without sponsorship.
• Tailor your cover letter to demonstrate passion for translating complex genomic data into life-changing RNA therapeutics.
• Highlight specific experience with siRNA/ASO sequence design, off-target prediction, and transcriptome analysis.
• Showcase proficiency in handling large-scale genomic datasets (RNA-seq, scRNA-seq) and using tools like BLAST and RNAfold.
• Emphasize cross-functional collaboration with wet-lab teams (chemists/biologists) to drive experimental workflows.
• Deepen knowledge in single-cell RNA-seq analysis and splice isoform variant databases.
• Enhance skills in developing automated pipelines for oligonucleotide mapping and homology determination.

面试指南

• Use the STAR method (Situation, Task, Action, Result) to structure behavioral and technical project examples.
• For technical questions, clearly outline the computational tools used, the biological rationale, and the experimental validation outcomes.
• Can you walk us through your experience designing and optimizing siRNA or ASO sequences?
• How do you approach transcriptome-wide off-target prediction and annotation?
• Describe a time you integrated a bioinformatics approach into an experimental workflow with chemists or biologists.
• How do you prioritize multiple experiments or projects in a fast-paced environment?
• Review the latest literature on siRNA/ASO design, chemical modifications, and delivery mechanisms to show domain expertise.
• Prepare specific examples of how your computational predictions directly informed and improved wet-lab experiments.