Senior Scientist, Computational Biology

Responsibilities

• Deliver biological insights into cellular networks, patient biomarkers, and iPSC-based physiological models and champion decisions and next steps
• Write and deploy high-performance code/pipelines for large-scale computation
• Identify relevant external data sets and new opportunities/needs for internal data generation
• Integrate closely with stem cell and biology teams on experimental design, hypothesis generation, and data analysis
• Provide technical expertise and mentorship on statistics and computation to junior data scientists and stem cell and biology teams
• Communicate to both technical and non-technical audiences clearly both orally and in writing

Requirements

• PhD. in Statistics, Biostatistics, Computer Science, or Mathematics
• 5+ years of industry experience analyzing high-dimensional datasets
• Knowledge of quantitative genetics in human or model organisms a plus
• Demonstrated expertise in computation and biology supported by publications or presentations
• Demonstrated proficiency in a relevant programming language (Python, R, etc.) supported by a public Github repository
• Experience developing novel models, algorithms, or software implementations a plus
• Strong communication skills in writing and speaking
• At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.
• We are an equal opportunity employer . All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Benefits

Additional Information

Vesalius Therapeutics is seeking a computational biologist with 5+ years of experience in high-dimensional data analysis to join our team. You will report to the Head of Data Science and develop and apply state-of-the-art statistical methods to deliver actionable insights from our population scale iPSC-based high-throughput phenotyping platform. You will bring a solid foundation in applied statistics; high-performance, scalable, and reproducible scientific code; and molecular, cell, or tissue biology. You will serve also as a subject matter expert on statistical analysis and software development, mentoring junior data scientists and advising stem cell scientists and biologists. You will work both independently and in matrixed teams with stem cell scientists, biologists, statistical geneticists, and machine learning scientists. This is the opportunity to redefine common diseases using genetic and phenotypic data at an unprecedented scale and make critical advances in developing new therapeutics to address unmet need!

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