Lead, In Vivo Pharmacology & Preclinical Operations (Staff Scientist/Manager/Associate Director[...]
Lead, In Vivo Pharmacology & Preclinical Operations (Staff Scientist / Manager / Associate Director / Director)
Computation is revolutionizing drug discovery. Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs.
At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
Check all associated application documentation thoroughly before clicking on the apply button at the bottom of this description.
To assist with our goal of expediting drug discovery, 1910 Genetics seeks a Lead, In Vivo Pharmacology & Preclinical Operations Scientist (Staff Scientist / Manager / Associate Director / Director) for an impactful position within our Biology Department.
This individual would own the formulation and implementation of in vivo strategies and oversee preclinical in vivo studies that will allow the robust evaluation of development candidates across multiple disease areas using a variety of therapeutic modalities.
This role requires excellent communication skills, in-depth knowledge of preclinical in vivo pharmacology (tissue targeting, ADMET, PK / PD relationships, efficacy models, drug clearance, etc.
and the ability to work independently to design translational studies to support future clinical activities. The individual will work with CROs and academic partners to design, carry out, and interpret in vivo studies with the goal of advancing high-quality drug candidates to the clinic.
In this role you will
- Design in vivo PK, PD, and efficacy studies for all targets in 1910’s pipeline.
- Identify the best CRO and partner for each in vivo study.
- Manage all the CROs to complete studies on time and budget.
- Review in vivo data package and ensure consistency with the target product profile (TPP) and desired chemical characteristics (DCC) for each program.
- Leverage software informatics tools to upload and disseminate high quality data across the Design, Make, Test, and Analyze process at 1910.
- Ensure that other teams at 1910, specifically AI Research, Machine Learning Engineering, Software Engineering, Computational Chemistry, Medicinal Chemistry, Analytical Chemistry, and in vitro Biology receive high quality, robust in vivo data via the in-house software informatics tools.
- Contribute to the preclinical pharmacology strategy and plans, including defining key milestones, decision points and timelines, identifying risks and mitigation strategies, and study planning and execution.
- Be the primary point of contact and driver for initiating, managing, and analyzing studies and data for in vivo experiments conducted at external CROs or academic labs.
- Develop robust data packages and author accompanying reports to support eventual regulatory filings.
- Communicate progress to internal stakeholders, KOLs, and present to external partners.
- Contribute to internal research meeting data discussions and interface with cross-functional groups including computational chemists, AI Scientists, and in vitro biologists.
- Present experimental results to team members and management with recommendations for next steps and improvements.
Ideally, you have
A Ph.D. in Biology with a focus in Immunology, Neuroscience, Oncology, or a related field with 8+ years of post-graduate experience OR a M.
S. with 10+ years of post-graduate experience. In either case, post-graduate experience should have been at a high-growth biotechnology or pharmaceutical company.
- Experience with murine models related to Immunology, Neuroscience, or Oncology.
- Experience in the management of CROs, including evaluation / selection, setting up processes, and quality control.
- Expertise with in vivo experimental design and execution.
- Familiarity with preclinical drug development processes.
- Independence and adeptness in ambiguous situations, flexibility, and comfort in making decisions using minimal available data.
- A proven ability to work cross-functionally and adapt to changing priorities while managing multiple commitments with accuracy and efficiency to meet deadlines.
Extremely generous equity package coupled with competitive salary.
Flexible work schedule including 2 work-from-home days.
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