Computational Scientist, Protein Design

138588
  • Competitive
  • , United States
  • Permanent

Senior Scientist, Computational Protein Design 

Our client is a clinical-stage bio-pharmaceutical company focused on the treatment of cancer through developing breakthrough-therapeutic multi-specific antibodies, as well as antibody-drug conjugates (ADCs). Currently, the company has eight assets in ongoing clinical trials and a robust preclinical pipeline of therapeutics from discovery through IND-enabling stage.

Summary: We are looking for a creative and motivated Computational Protein Design Scientist or Senior Scientist to establish our Computational Protein Design team. As part of the early scientific team, this individual will be instrumental in building the Computational Protein Design platform, using data-driven approaches to augment our first-in-class multi-specific biological programs.

The ideal candidate will have experience applying state-of-the-art machine learning and computational methods to design novel peptides and proteins, such as structural modeling and prediction, structure library generation, molecular docking, and multiparameter molecular property optimization. A successful candidate will be an excellent collaborator working closely with our Antibody Discovery, Protein Engineering, and Immuno-oncology teams.

Essential Duties and Responsibilities:

  • Develop and implement a novel computational design platform for predicting the properties of peptides, natural ligands, de novo proteins, and antibody-based elements using state-of-the-art computational modeling and machine-learning approaches
  • Design new macromolecular therapeutics using rational protein engineering methods, and employ these in silico predictions to iteratively guide the lead development process
  • Discover new sequence/structure-function relationships and macromolecular design principles based on current drug platforms by leveraging large experimental datasets and streamlining their analysis
  • Work closely with Protein Engineering and Immuno-Oncology teams to optimize an iterative scientific workflow
  • Analyze, interpret, document and present data to the scientific and leadership team
  • Contribute to ongoing innovation within the company through the introduction of the most recent trends in machine learning and computational protein design
  • Maintain a broad awareness of the developments in computational drug design
  • Maintain a broad awareness of work within a collaborative, and interdisciplinary team to actively contribute to creating, shaping, and executing the vision of the company e developments in computational drug design

Qualifications:

  • PhD (or equivalent) in computational biology, computational chemistry, computer science, chemical engineering, bioengineering, biophysics, or a related field
  • 3-5+ years (Senior Scientist) of experience developing computational and/or machine learning methods to solve problems related to peptide and protein design, modeling, and sequence/structure-function prediction
  • Proficient in Python and significant experience with relevant macromolecular modeling software (i.e. PyRosetta, AlphaFold, MOE, Schrödinger)
  • Familiar with deep learning libraries (i.e. PyTorch)
  • Experience with cloud computing (i.e. AWS) and software is a plus

The hiring pay range for this position is $150,000 - $250,000 per year based on skills, education, and experience relevant to the role.

Sarah McGraw Division Manager

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