Epigene Labs is a pioneering techbio company focused on implementing augmented intelligence in precision oncology. We are seeking a strongly motivated Computational Biologist eager to leverage their skills in our fight against cancer.
As a member of the computational biology team, you will have a pivotal position and will collaborate closely with an interdisciplinary team.
This position encompass the following activities
Design, prototype, and implement pipelines for automatic integration and normalization of cancer transcriptomic data, as well as other high-throughput molecular data types ensuring data quality and performance
Develop robust and flexible and analysis workflows and bioinformatic tools to process different types of NGS data
Develop bespoke algorithms for combining and prioritizing the results we generate
Document, summarize, and communicate results in various settings, including management meetings and, on occasion, scientific conferences
Required
Ability to implement and benchmark computational methods from the fields of biostatistics and bioinformatics
Experience in end-to-end pipeline implementation for data management
Experience in the analysis and interpretation of multiple types of NGS data (RNA-Seq, DNA-Seq, scRNA-Seq)
Strong programming ability in python
A team player with the ability to also work autonomously, and who has a lifelong learning mindset
Outstanding interpersonal and English communication skills
Preferred
Experience integrating multi-omics data is a plus
Experience working in cloud environments such as AWS, Azure
Experience with mining publicly available databases (GEO, TCGA, etc.)
Experience with version control systems (Git) and development good practices (unit testing, CI/CD)
P.h.D. or Master’s degree in Computational Biology, Bioinformatics, or related technical fields with 2/3 years of experience
Working knowledge of healthcare, biopharma and/or oncology is a plus
Initial fit call with the computational biology lead.
Technical challenge based on real-world problems to assess collaboration skills
Meet the leadership team
Discussion with the CEO
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