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Senior Research Associate, Platform Technology

Deep Genomics

Salary not specified
Dec 22, 2025
Cambridge, MA, US
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Deep Genomics is looking to integrate artificial intelligence and complex biology to transform drug discovery by decoding the complexity of RNA biology to identify novel drug targets, mechanisms and therapeutics.

Requirements

  • Experience with NGS library preparation, including amplicon-seq, bulk RNA-seq, targeted panels, or single-cell sequencing.
  • Experience extracting RNA/DNA from cells and animal tissues.
  • Demonstrated proficiency in designing and executing genomics-based or molecular assays.
  • Proficiency with specific liquid handling platforms such as Hamilton STAR, Agilent Bravo, or Beckman Echo.
  • Familiarity with RNA therapeutic modalities (ADAR editing, ASOs, siRNAs, mRNA).
  • Hands-on experience growing, maintaining, and transfecting mammalian cells.
  • Strong understanding of molecular and cell biology principles.

Responsibilities

  • Design, execute, and optimize high-throughput genomics assays, including NGS workflows, targeted sequencing, RNA-seq, and high-content gene expression readouts, to evaluate RNA therapeutic candidates.
  • Sequence prepared libraries independently using instruments such as the Illumina NextSeq, including run setup, instrument operation, and routine troubleshooting.
  • Troubleshoot library prep, QC metrics, and workflow bottlenecks to ensure consistently high-quality datasets for computational analysis.
  • Implement automated workflows using liquid handlers (e.g., Hamilton STAR, Agilent Bravo, Beckman Echo) to scale discovery and screening activities.
  • Perform a broad range of molecular biology techniques including PCR, qPCR/ddPCR, and nucleic acid extractions on a variety of cell types and tissues.
  • Clearly document experimental plans, results, SOPs, troubleshooting steps, and data within an electronic lab notebook (ELN).
  • Present experimental findings and assay performance updates to project teams and collaborators.

Other

  • BS or MS in Molecular Biology, Genetics, Genomics, Biotechnology, Biochemistry, or related discipline with 3–6 years of relevant industry experience.
  • Excellent communication, organizational, and documentation skills.
  • Ability to prioritize and drive work independently in a fast-paced research environment.
  • Prior experience in a biotechnology, pharmaceutical, or platform-driven discovery environment and demonstrated ability to collaborate within a highly cross-functional and multidisciplinary team.
  • Accommodations are available on request for candidates taking part in all aspects of the selection process.