Staff Computational Biologist

We are seeking a seasoned Staff Computational Biologist to join our Computational Science team. As an expert in computational biology, genomics, and modelling, you will apply your background in computational biology and statistics to drive the creation of new applications and enhance algorithms for identifying molecular signatures of cancer.

Responsibilities:

• Serve as a key thought leader on the Computational Science team, leading the analysis and interpretation of cancer's molecular signatures and staying current with the field.
• Guide and contribute to the development of models that characterise biological changes associated with cancer.
• Execute rigorous computational analyses on data from best-in-class molecular assays, including whole genome sequencing, whole genome bisulfite sequencing, targeted sequencing, RNA sequencing, and protein quantitation.
• Design novel statistical models for the evaluation, characterisation, and modelling of these data types within the context of cancer biology and progression.
• Identify research hypotheses and potential areas for model improvement; plan, scope, and execute associated research projects with a skilled team of computational biologists.
• Solve complex analytical challenges inherent to the study of cell-free circulating nucleic acids and proteins.
• Partner closely with molecular biologists to collaboratively refine wet lab experiments, and with development scientists to turn research models into products.
• Support the professional development and career growth of talented, cross-functional computational biologists within your team.

Requirements:

• PhD or equivalent experience in a relevant quantitative field (e.g., computational biology, cancer biology, statistics, bioinformatics).
• At least 8 years of post-PhD experience applying computational techniques for biological discovery and product development, preferably in cancer or diagnostics within an industry setting.
• Deep expertise in cancer and molecular biology, with a proven ability to leverage this knowledge for computational biology and diagnostics problems in cancer.
• Extensive experience analysing data and developing models for high-throughput, quantitative technologies in genomics, epigenomics, transcriptomics, proteomics.
• Proficiency in computational and programming skills, including extensive experience with Python statistical packages and modelling packages.

Nice to haves:

• Experience training, evaluating, or applying biological sequence models.
• Experience developing or applying single-cell genomic or transcriptomic models.
• Experience modelling cell-free DNA (cfDNA) signals specifically for early disease detection and diagnostic applications.

Benefits:

• The US target range of our base salary rate for new hires is $188,275 - $270,375.
• You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.