Computational Biologist

Position Summary

We are looking for a passionate and highly motivated Computational Biologist to join our dynamic team. The successful candidate will be involved in building advanced computational platforms and algorithms to analyze diverse single-cell perturbation and functional genomics data. This role offers the opportunity to collaborate closely with both our computational and experimental teams, providing valuable insights into both model construction and experimental design.

Key Responsibilities

• Develop state-of-the-art computational methods to process and analyze single-cell genomics data
• Analyze internal sequencing data to extract meaningful insights and drive research objectives.
• Play a supporting role in pioneering new computational approaches and methodologies to advance the field of perturbation
• Delve deep into diverse biological and genetic datasets, integrating data from various sources to build an integrated resource and draw novel and impactful insights
• Stay up to date with the latest breakthroughs in computational biology, single-cell, and related domains
• Work hand-in-hand with interdisciplinary teams, both experimental and computational, to aid in data analysis and interpretation across an array of research projects
• Systematically document findings and present them, whether through written reports or oral presentations, ensuring seamless communication within the team

Qualification and Education Requirements

You must have:

• PhD in Bioinformatics, Computational Biology, Biology, or a related field, or MS in the same fields with a minimum of three years of relevant work experience.
• Proven experience in analyzing genomic sequencing data
• Robust programming abilities, especially in R, Python, and BASH
• Hands-on experience working in a Linux-based environment
• Ability to consistently produce high-quality code for team members
• Innate curiosity and motivation, paired with the enthusiasm to flourish in a dynamic, team-driven, start-up atmosphere

Additional preferred experience includes:

• Knowledge of functional genomics and genetic data
• Practical experience in building a visualization portal for genomics data
• Experience with integrative computational methods for omics data
• Proficiency in modern cloud computing infrastructures