Verve is looking for a passionate Scientist II with expertise in CRISPR-Cas9 gene editing technologies, particularly in NGS data analysis and method development to join our computational biology team. In this role, you'll play a pivotal part in advancing our groundbreaking early-stage research toward preclinical and clinical development, working with cellular and animal models. This is an exciting opportunity to turn cutting-edge scientific discoveries into innovative therapeutic strategies, shaping the future of clinical drug development and making a real impact on human health.

This is a hybrid role and requires 3-days in our Boston office. We are considering local candidates at this time.

• Perform data analysis of gene editing outcomes using state-of-the-art methods and tools.
• Collaborate with cross-functional teams providing input to the experimental design and data interpretation.
• Develop novel methods for NGS-based on- and off-target analysis, and high-throughput screens, incorporating appropriate statistical analyses as needed.
• Coordinate activities and timelines through close collaboration with the laboratory head and other staff
• Effectively communicate analysis results to key technical and non-technical stakeholders.
• Maintain scientific and technical expertise through familiarity with scientific literature.
• Mentor junior team members.
• Research and evaluate new methods and technologies for continual process improvement with the goal of developing robust and scalable processes.
• Ensure effective, high quality, timely and appropriate documentation. Recording, analyzing, and documenting data and results appropriately.
• Interpret data, documents, study results and presentation of data and conclusions to diverse function groups. May author development reports, study protocols and pre-validation reports.
• Troubleshoot scientific and technical challenges and contribute to their resolution.
• Other duties as assigned.

• Ph.D. in computational biology, systems biology, bioinformatics or related fields with 2 years of relevant industry experience or;
• M.S. in computational biology, systems biology, bioinformatics or related fields with 7 years of relevant industry experience or;
• B.S. in computational biology, systems biology, bioinformatics or related fields with 9 years of relevant industry experience.
• In depth knowledge of in NGS data analysis, e.g., for targeted amplicon sequencing, genome-wide sequencing, variant calling.
• Working knowledge of commonly used statistical approaches.
• Proficient in Python and/or R programming languages.
• Proven experience with tools and frameworks for reproducible scientific research, demonstrated by a strong publication record reflecting relevant research expertise.
• Proven ability to thrive in a collaborative team setting, formulating research questions, developing methodologies, and analyzing and interpreting results.
• Exceptional analytical and problem-solving skills, with strong communication and interpersonal abilities.
• Collaborative, detail-oriented mindset, adept at efficiently working across multiple teams and projects in a matrixed environment.
• Preferred experience:
  • Experience with AWS cloud computing is a plus.
  • Preferred experience in gene editing and/or advanced molecular biology.