Deerfield Management Companies

Associate Director / Director, Computational Chemistry

Job Locations US-CA-San Diego
Posted Date 3 weeks ago(4/1/2021 11:12 AM)
ID
2020-1298
# of Openings
1
Category
Research & Development

Overview

Neomorph Inc is building the pre-eminent biotech in the protein degradation space. Focusing on next-generation approaches, Neomorph is assembling a world class team to advance the science around this emerging modality and address serious unmet medical needs.

 

At Neomorph, we aim to solve critical problems in human health by advancing the technology of targeted protein degradation. We will tackle serious diseases that have been considered intractable due to a lack of ‘druggable’ therapeutic targets. The Neomorph founders and management teams are composed of people that have demonstrated years of dedication to the field, and who are responsible for multiple major scientific advances in the space. We are seeking highly engaged and innovative individuals who wish to join us in building a collaborative and people-focused company, centered on scientific excellence in the pursuit of highly impactful and novel therapies.

 

Remote work will be considered for highly qualified candidates

 

Our Ideal Candidate:

 

You are a highly talented and motivated computational chemist with broad expertise in structure-based drug design and strong scientific programming skills. You have a background working within the life sciences industry and are passionate about using your expertise to contribute to leading chemistry efforts within a multi-disciplinary drug discovery team.

Responsibilities

Responsibilities:

 

As part of a multi-disciplinary team comprised of leaders in the field of targeted protein degradation, you will be engaged in target selection and hit finding, through to lead optimization and drug candidate selection, as well as exploratory efforts to identify new aspects of this compelling field.  

 

  • Develop methodologies to inform on protein-protein interactions, small molecule-protein interactions and conformational space
  • Generate structural hypotheses to impact the design of molecules for both structure-based and ligand-based workflows, including development of pharmacophore and QSAR models, ligand docking, virtual screening, protein-protein interaction, MD simulation and energy perturbation calculations.
  • Potential opportunity to lead chemistry efforts within a multi-disciplinary drug discovery
  • Through computer-aided drug design and simulation techniques, help to drive hit discovery, lead optimization and drug candidate selection. Influence the design of compounds towards improved potency, selectivity functional activity and/or ADME properties.
  • Develop custom tools to enable data analysis, sharing and visualization.
  • Evaluate and establish collaboration with contract research organizations and academic institutions, enabling access to external innovation in support of internal projects.
  • Contribute to the strategic direction of the group.

Qualifications

Required qualifications:

 

  • Associate Director level: PhD with 10+ years, MS with 13+ years or BS with 16+ years of relevant experience with proven record in drug design / discovery principles.
  • Director level: PhD with 12+ years, MS with 15+ years or BS with 18+ years of relevant experience with proven record in drug design / discovery principles.

 

  • Experience with structure-based drug design (SBDD), which includes small molecule docking, pharmacophore models, virtual screening, molecular dynamics simulations and related techniques for protein-ligand interaction calculations.
  • Experience with ligand-based modeling, including QSAR methods (modern machine learning techniques is a plus), small molecule conformational analysis and 3D overlays.
  • Cheminformatics expertise, such as chemical reaction/library enumeration, 2D/3D similarity, clustering, dimensionality reduction techniques, etc. connected to data mining and data visualizations.
  • Expertise with protein modeling, such as ab-initio structure prediction and protein-protein docking (rosetta++ or similar protein modeling suite), protein conformational flexibility (e.g. using MD simulations), homology modeling, etc.
  • Strong scientific programming skills (e.g. Python, R) and pipelining tools, (e.g. Knime), preferably in Linux environment.
  • Expertise in medicinal chemistry and basic knowledge of synthetic organic chemistry.
  • Be able to work independently as well as within cross-functional teams, and demonstrate abilities as a self-starter, leader & mentor and as a creative and adaptable scientist.

Neomorph provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to religion, race, creed, color, sex, sexual orientation, alienage or citizenship status, national origin, age, marital status, pregnancy, disability, veteran or military status, predisposing genetic characteristics or any other characteristic protected by applicable federal, state or local law. 

 

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