Bioinformatics Analyst

Job Description

Job Summary:

• As a Bioinformatics Analyst, you will play a critical role in analyzing large genomic and Client NGS assay datasets to support drug discovery programs, with a focus on Cell Therapy therapeutics.
• Your primary responsibilities include executing, applying, and analyzing sequencing and assay data to identify potential therapeutic candidates.
• You will prepare data packages and summaries that facilitate cross-team communication and decision-making, while building, maintaining, and optimizing computational pipelines to ensure scalability, reproducibility, and efficiency.

Duties and Responsibilities:

• Perform quality control on sequencing and alignment data to ensure accuracy and precision.
• Analyze large genomics datasets to extract meaningful insights related to drug discovery.
• Build, maintain, and optimize bioinformatics pipelines for scalability and reproducibility.
• Support diverse drug programs through computational and statistical analyses.
• Develop and refine statistical models and hypothesis tests to interpret complex datasets.
• Clearly communicate study designs, methodologies, and key findings to interdisciplinary teams, including wet-lab scientists and project stakeholders.
• Contribute to presentations and reports highlighting methods and outcomes.

Education and Experience:

• Experience supporting drug discovery programs in a biotech or pharmaceutical setting.
• Prior experience presenting complex computational results to diverse audiences.
• Experience with Git for version control and reproducibility.

Knowledge, Skills and Abilities:

• Proficiency in Python, with experience applying software development best practices.
• Familiarity with cloud computing environments (e.g., AWS) for large-scale data analysis.
• Solid understanding of NGS technologies and biological assays.
• Strong collaboration skills, especially in advising on study design and avoiding pitfalls in collaboration with wet-lab scientists, engineers, and protein designers.
• Excellent communication skills, capable of translating biological questions into rigorous computational analyses.