FL69 is seeking a talented Principal Scientist to develop an exciting new computational drug development pipeline centered on target identification, drug discovery and translational research. The ideal candidate for this position has a strong background in human genetics, multi-omics dataset analysis, experience developing new methods, establishing bioinformatic pipelines, and working in a collaborative environment in a highly interdisciplinary team committed to drug development. Experience with RiboSeq and translatomics data is a plus. The candidate will be working closely with the FL69 origination team to establish the early stage company platform, vision and processes. This position will initially involve creating and evolving critical platform discovery informatics pipelines and building a team with eventual transition into a management position.
FL69 Inc. is a privately held, early-stage biotechnology company with the vision to revolutionize the human therapeutic landscape. FL69 Inc. was founded by Flagship Pioneering, a team of entrepreneurial scientists that conceives, creates, resources, and grows first-in-category life sciences companies. Since 2000, Flagship has created over 75 groundbreaking companies that are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna Therapeutics (NASDAQ:MRNA), Seres Therapeutics (MCRB), Syros Pharmaceuticals (SYRS), Rubius Therapeutics (RUBY), Evelo Biosciences (EVLO), Kaleido Biosciences (KLDO), and Indigo Agriculture. FL69 Inc. is a highly dynamic, entrepreneurial, and innovation-driven organization seeking to hire an exceptional scientist to join our team.
PhD or MS with multiple years industry experience or equivalent in bioinformatics, computational biology, genomics, or related field.
Demonstrated ability in working with highly skilled, diverse teams in an industry environment
Driven to develop a transformative therapeutic discovery platform
Familiarity with integration multi-omics platforms and analysis of such datasets
Experience with mining public datasets
Demonstrated industry experience or academic achievement, as evidenced by publications in high impact journals, conference proceedings, or widely used codebase
Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner
Confident execution, focused and team-oriented with an ability to thrive in an entrepreneurial environment
>3 years of industry experience or equivalent in bioinformatics, computational biology, genomics, or related field.
Deep understanding of data mining algorithms and experience in exploratory analysis
Strong programming skills in scripting language (Python, MATLAB, R).
Strong collaborative skills with evidence of working in, and leading a team
Prior experience incorporating GWAS-EBI or whole genome sequencing data in transcriptomic analysis
Experience with managing, cleaning and normalizing large, multi-dimensional datasets
Experience and understanding of translation biology and RiboSeq.