Deep Genomics

Principal Scientist, In Vivo Pharmacology

Deep Genomics

full-time

Posted on:

Origin:  • 🇺🇸 United States • Massachusetts

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Job Level

Lead

About the role

  • Establish and lead the in vivo pharmacology function to advance RNA editing therapeutics.
  • Lead all in vivo work from design, model development, execution, analysis and interpretation.
  • Design, execute and interpret translational studies for genetic medicines in mice and NHP.
  • Collaborate closely with therapeutic program teams on relevant in vitro models and development of translational assays.
  • Collaborate closely with the target discovery team on availability, feasibility and predictive power of pre-clinical models for new targets.
  • Provide strategic leadership on the clinical development path including regulatory filings and biomarker development.
  • Plan and contribute to writing regulatory submissions (e.g., IND) and biomarker strategies in collaboration with internal leaders, external consultants and KOLs.
  • Lead studies with external research organizations and act as a connector between internal groups.
  • Analyze, interpret and present data to scientists and management in internal and external venues and publish in peer-reviewed journals as appropriate.
  • Mentor and potentially manage direct reports; demonstrate leadership and cross-functional influence.

Requirements

  • PhD in biological sciences with 6+ years of post-graduate experience in relevant roles (or equivalent) in translational biology for the development of genetic medicines.
  • 3+ years building, managing, and leading teams to meet corporate goals.
  • Direct experience with pre-clinical models of liver disease.
  • Direct experience with LNP or GalNAc-mediated delivery.
  • Familiarity with NGS datastreams and interpretation.
  • Prior experience executing studies with contract research organizations.
  • Breadth of therapeutic area expertise and exposure to multiple therapeutic modalities, ideally including gene editing and RNA-targeted therapies.
  • Proven ability to work independently and cross-functionally in a fast-paced environment.
  • Strong personal qualities, including attention to detail, emotional intelligence, integrity, creativity, and a willingness to have ideas challenged by team members and to challenge them.
  • Ability to communicate complex data sets to key stakeholders from diverse backgrounds.
  • Preferred: Experience with oligonucleotide or gene editing based therapeutics.
  • Preferred: Experience with advanced in vitro models e.g. iPSC derived cells, organoids.
  • Preferred: Experience planning and writing regulatory packages including IND submissions.
  • Preferred: Experience with clinical biomarker development strategy.
  • Preferred: Understanding of target discovery via human genetics.
  • Preferred: Network of relevant external KOLs.
  • Preferred: Strong computational background or demonstrated ability to interface with computational biology teams.
  • Preferred: Experience with multi-site project management and team leadership.