Senior Scientist / Principal Scientist, Computational Genomics & Data Science at Flagship Pioneering in Cambridge, MA

About the Role:

Omega Therapeutics, Inc. is seeking a Senior Scientist or Principal Scientist, Computational Genomics & Data Science, with expertise in functional genomics algorithms and analysis, NGS methods development, and the ability to drive hypothesis-driven research by leveraging multidimensional omics datasets. The successful candidate will be an essential member of a close-knit team of computational and experimental biologists, a key contributor supporting drug development programs, and a lead in efforts to expand our core genomics-based target discovery platform. We are looking for enthusiastic, detail oriented and highly motivated individuals with a passion for bringing novel medicines to patients and who are comfortable working on a fast-paced scientific team.

Key Responsibilities:

• Collaborate with bench scientists to identify key questions that can be addressed via genomics, partner in experiment design, and execute targeted computational analysis plans
• Utilize advanced approaches for integrative analysis and visualization of multi-dimensional omics data to generate actionable hypotheses for individual therapeutic areas, and to advance the design of novel epigenomic controllers
• Identify, evaluate, and apply new computational methodologies and emerging technologies in an opportunistic manner
• Design innovative data pipelines and oversee HPC data footprint
• Effectively communicate complex biological data to stakeholders at all levels in a manner elucidating key messages to speed decision-making

Required Skills:

• Experience solving large-scale, real-world scientific problems within cross-functional, multi-disciplinary teams
• Extensive experience with RNA-seq (bulk or single-cell) and functional NGS assays such as ChIP-seq, ATAC-seq, Cut&Run, WGBS, Hi-C, GRO-seq, etc
• Understanding and experience with CRISPR-based technologies and computational analyses
• Familiarity with modern statistical inference and biological modeling techniques, as well as systems biological and network analysis approaches
• Fluency in R or python, linux HPC environments, and cloud computing
• Prior understanding of epigenomics and gene regulation
• Experience with genetics data, GWAS, eQTLs desirable
• Strong presentation and excellent communication skills, both oral and written
• Highly adaptable and responsive to technical and business opportunities - comfortable delivering against challenging project needs and timelines

Qualifications:

• PhD. in Computer Science, Computational Biology, or related disciplines, with 3+ years of industry experience
• Recognized excellence working in multidisciplinary teams as evidenced from peer-reviewed publications and strong references