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

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