Research Prime

Principal Scientist, Computational Peptide Design (Computational Chemistry)

Organisation Name: FogPharma
Organisation Type:
City: Cambridge
State: MA
Country: United States

Job Description:

Why join us?

FogPharma® is pioneering the discovery, development, and commercialization of HeliconTM peptides, an exciting new drug modality that uniquely combines the cell-permeability of traditional small molecule drugs with the specificity, broad target accessibility and discovery speed of monoclonal antibody drugs. Our patented HeliconTM peptide technology allows us to modulate the activity of well-known intracellular disease drivers that have thus far evaded small molecule and biologic therapies.

FogPharma's lead program targets beta catenin, a cancer driver in the WNT pathway. Inhibition of beta catenin has the potential to benefit more than one-fifth of all cancer patients, and is just one of many opportunities that Fog's lead-discovery platform will change future medicines, therapies and lives. We recently selected a lead development candidate and plan to initiate clinical development early next year.

What's the opportunity?

This position is a computational chemistry role reporting initially to the head of Computational Drug Discovery. We are seeking highly talented and motivated people to contribute to the development of the Computational Drug Discovery group, a new strategic function that is part of the platform discovery engine for HeliconTM peptide drugs. The skill sets of the group will include state-of-the-art molecular modeling, cheminformatics and data science towards the discovery and development of HeliconTM peptide drugs

  • Provide molecular modeling support towards, but not limited to, targeted screening library designs, hit-to-lead progression using multi-objective optimization, initiating new projects, new drug-target assessments and advancing drug-pipeline projects towards clinic
  • Apply or implement 3D modeling techniques for sampling HeliconTM peptide conformations in presence of a target and in different physiological conditions
  • Analyze and derive 3D peptide-structure relationships
  • Demonstrate potential for scientific leadership by partnering across functions and working within a team of talented and passionate scientists to discover drugs
  • Interface with CROs or external partners

What you'll need to be successful:

  • PhD in Computational Biology, Computational Chemistry, Protein Engineering, Chemistry, Biophysics, Macromolecular sciences or related scientific field with 5+ years of experience in computational rational drug design (1-3 years industry)
  • Demonstrated experience with protein engineering including affinity maturation and a good understanding of peptide structure-property relationships (e.g. helicity and amphiphilicity metrics, cell penetration)
  • Demonstrated mastery of modern computational chemistry including, but not limited to, peptide folding and docking, structure-based design (receptor and ligand-based), scaffold hopping, docking and conformational analysis
  • Familiarity with peptide modeling environments and methods (e.g. ICM, Rosetta, enhanced sampling MD, Monte Carlo) and general modeling environments
  • Expertise with 3D biomolecular modeling that incorporates constraints from NMR, CryoEM or other structural, biochemical data
  • Demonstrated understanding of critical assessment of molecule-property data and predictive model quality
  • Experience with command line modeling applications. Familiarity with modeling pipelining tools (e.g. Knime) is a plus
  • Experience with enterprise research informatics systems such as Knime, SQL databases and chemical and biological data warehouses
  • Experience with virtual screening and familiarity with cloud computing environments (AWS or Google)
  • Able to work on-site and attend in-person meetings (Fog employees are required to be fully vaccinated to attend in-person work-related activities. Reasonable Accommodations will be made for individuals with a sincerely held religious belief or disability who are not vaccinated)

As an equal opportunity employer, Fog values diversity and welcomes applicants of all backgrounds and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.

30 Acorn Park Drive | Cambridge, MA 02140 | www.fogpharma.com


Posting Date: Jun 02, 2022
Closing Date:
Organisation Website/Careers Page: https://fogpharma.com/opportunities-at-fogpharma/?gh_jid=5551899002


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