Bioinformatics Analyst

Job Title: Bioinformatics Analyst Location: Remote Duration: 12 Months Pay Range: $(53.02 - 55.00)/hr on W2 all-inclusive without benefits Top Three Skills: • Excellent communication skills, Proficiency in Python, Solid understanding of NGS technologies and biological assays Job Description: • As a Bioinformatics Analyst, you will play a critical role in analysing large genomic and novel NGS assay datasets to support drug discovery programs, with a focus on Cell Therapy therapeutics. • Your primary responsibilities include executing, applying, and analysing 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. About You: • You have a strong background in statistics and software development, with proficiency in Python and experience working with both open-source and custom packages. • You follow best practices in code development and enjoy collaborating with a diverse range of engineers and scientists. • You are skilled at guiding study design and data interpretation, and capable of translating complex biological questions into quantifiable hypotheses and analyses. • You thrive in multidisciplinary teams supporting drug discovery efforts. Key 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. Qualifications: • Proficiency in Python, with experience applying software development best practices. • Familiarity with cloud computing environments (e.g., AWS) for large-scale data analysis. • Experience with Git for version control and reproducibility. • 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. • Experience supporting drug discovery programs in a biotech or pharmaceutical setting. • Prior experience presenting complex computational results to diverse audiences.