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Senior Scientist, Computational Chemistry

Job in Cambridge - Middlesex County - MA Massachusetts - USA , 02138
Company: Civetta Therapeutics
Full Time position
Listed on 2019-11-13
Job specializations:
  • Research/Development
    Data Analysis, Research Associate, Scientific Research, Postdoctoral Research Fellow
  • Science
Job Description & How to Apply Below
Location: US-MA-Cambridge

ID: 2

# of Openings : 1

Category: Research & Development

Address: 650 East Kendall Street


Deerfield Management is an investment management firm committed to improving healthcare through investment, information and philanthropy. We have just launched a new company called Civetta Therapeutics located in Cambridge, MA that was founded by William Sellers (Broad Institute and Dana-Farber Cancer Institute) and Eric Fischer (Dana Farber Cancer Institute and Harvard Medical School). We are looking to engage a high-quality team of researchers to advance new medicines through small molecule intervention targeting propeller domains with the goal of developing important therapeutics for cancer and other indications. If you are a talented life sciences professional that can bring significant energy, passion and talent to the team, we welcome the opportunity to consider you for a position in this exciting, new company.

About the Founders:

William Sellers is a core institute member of the Broad Institute of MIT and Harvard, a faculty member at Harvard Medical School, and faculty member and senior advisor to the president for experimental therapeutics at the Dana-Farber Cancer Institute.

Eric Fischer is an Assistant Professor in the Department of Biological Chemistry and Molecular Pharmacology at Harvard Medical School and an Independent Investigator, Dana-Farber Cancer Institute.


The ideal candidate will have hands-on experience working with multidisciplinary teams in drug discovery. Experience participating in structure-based programs from Hit Identification to Clinical Candidate is highly desirable.


  • Work as part of a team to design novel small molecule ligands as part of drug development efforts
  • Identify specific ligands and implement compound prioritization.
  • Apply computational methods across the drug discovery pipeline including: small molecule docking, homology modeling, free energy calculations, quantum mechanics calculations, QSAR models development, and pharmacophore elucidation
  • Support drug discovery projects by developing and delivering timely, high-quality computational solutions that impact project teams through understanding target-ligand binding, structure-based molecular modeling, ligand-based lead optimization, virtual screening, library design, and ADME in-silico modeling
  • Develop hypotheses to understand drug binding and SAR by application of molecular dynamics
  • Compound library design and the application of virtual screening to identifying new lead material


Basic qualifications:

  • Ph.D. degree in computational chemistry or related discipline with knowledge of medicinal chemistry
  • Completed post-doctoral research with 5-10 years of industry experience
  • Experience using structure-based design tools, such as the Schrdinger suite, OpenEye, CCG, MOE, and others
  • Experience with ligand- and property-based drug design
  • Proficiency with computer programing/scripting languages, such as KNIME, C++ and Python
  • Strong interpersonal as well as written and oral communication skills
  • Organizational skills, along with a demonstrated ability to work both independently and collaboratively among a small, highly committed team

Civetta Therapeutics 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.

Position Requirements
1 to 2 Years work experience
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