Dana-Farber Cancer Institute
Scientist I - Computational Chemistry Core
Dana-Farber Cancer Institute, Boston, Massachusetts, us, 02298
Job ID:
40535Location:
450 Brookline Ave, Boston, MA 02215Category:
Research LaboratoryEmployment Type:
Full timeWork Location:
Onsite: 100% onsite
OverviewThe Computational Chemistry Core at Dana-Farber Cancer Institute combines structure-based drug design, computational biology, and cheminformatics to support chemical biology and drug discovery programs. We are seeking a highly motivated individual to join the team as a Scientist I who will work on computational molecular modeling projects in the Center for Therapeutic Discovery and Fischer lab in Chemical Biology to guide the discovery and optimization of novel small molecules on targets of important therapeutic implications. A background in small molecule drug discovery and an interest in understanding how molecular machines work are essential.Our laboratory is based at Dana-Farber Cancer Institute in Longwood Center. Join our highly interactive team of scientists to work on small molecule discoveries for providing understanding of new signaling processes and leveraging these insights for therapeutic development.Located in Boston, Dana-Farber Cancer Institute brings together world-renowned clinicians, innovative researchers, and dedicated professionals in the mission of conquering cancer, HIV/AIDS, and related diseases.
ResponsibilitiesWork closely with medicinal chemists and apply advanced molecular modeling methods to identify hits and guide the optimization of compounds for drug discovery projects.Collaborate with structure biologists to generate molecular models and mechanistic hypotheses for key molecular machinery through state-of-the-art computational modeling, including deep learning methods.Independently plan, manage, and perform research and projects, monitoring milestones and ensuring deliverables are completed on time.Take an active role in the development of novel computational methods for the design of small molecule modulators.Collect and analyze data, generate hypotheses, and identify next steps based on outcomes.Communicate project deliverables to collaborators and project leads.Maintain clear and accurate records of research work (e.g., codes, research methods, results/findings).
QualificationsPh.D. or equivalent degree in computational chemistry or related scientific fields.In-depth knowledge of computational methods used in small molecule protein interaction modeling.More than 2 years of post-PhD experience in small molecule drug discovery projects in industrial or academic environments with demonstrated impact.Ability to interpret and analyze experimental data, prepare research publications, and communicate results.Must demonstrate outstanding personal initiative and the ability to work effectively as part of an interdisciplinary team.Demonstrated ability to learn quickly.Excellent analytical, organizational, and time management skills.Expertise in the following areas:Programming Skills: Knowledge of UNIX/Linux shell scripting. Strong programming skills in Python and/or C++, or related languages.Software Skills: Extensive experience with Schrodinger suite, RDKit, Amber MD package, and Rosetta.Data Analysis Skills: Familiarity with principles of experimental design and modern data analysis paradigms is required.Experience with modern machine learning methods is desired.Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts.Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.EEOC Poster
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40535Location:
450 Brookline Ave, Boston, MA 02215Category:
Research LaboratoryEmployment Type:
Full timeWork Location:
Onsite: 100% onsite
OverviewThe Computational Chemistry Core at Dana-Farber Cancer Institute combines structure-based drug design, computational biology, and cheminformatics to support chemical biology and drug discovery programs. We are seeking a highly motivated individual to join the team as a Scientist I who will work on computational molecular modeling projects in the Center for Therapeutic Discovery and Fischer lab in Chemical Biology to guide the discovery and optimization of novel small molecules on targets of important therapeutic implications. A background in small molecule drug discovery and an interest in understanding how molecular machines work are essential.Our laboratory is based at Dana-Farber Cancer Institute in Longwood Center. Join our highly interactive team of scientists to work on small molecule discoveries for providing understanding of new signaling processes and leveraging these insights for therapeutic development.Located in Boston, Dana-Farber Cancer Institute brings together world-renowned clinicians, innovative researchers, and dedicated professionals in the mission of conquering cancer, HIV/AIDS, and related diseases.
ResponsibilitiesWork closely with medicinal chemists and apply advanced molecular modeling methods to identify hits and guide the optimization of compounds for drug discovery projects.Collaborate with structure biologists to generate molecular models and mechanistic hypotheses for key molecular machinery through state-of-the-art computational modeling, including deep learning methods.Independently plan, manage, and perform research and projects, monitoring milestones and ensuring deliverables are completed on time.Take an active role in the development of novel computational methods for the design of small molecule modulators.Collect and analyze data, generate hypotheses, and identify next steps based on outcomes.Communicate project deliverables to collaborators and project leads.Maintain clear and accurate records of research work (e.g., codes, research methods, results/findings).
QualificationsPh.D. or equivalent degree in computational chemistry or related scientific fields.In-depth knowledge of computational methods used in small molecule protein interaction modeling.More than 2 years of post-PhD experience in small molecule drug discovery projects in industrial or academic environments with demonstrated impact.Ability to interpret and analyze experimental data, prepare research publications, and communicate results.Must demonstrate outstanding personal initiative and the ability to work effectively as part of an interdisciplinary team.Demonstrated ability to learn quickly.Excellent analytical, organizational, and time management skills.Expertise in the following areas:Programming Skills: Knowledge of UNIX/Linux shell scripting. Strong programming skills in Python and/or C++, or related languages.Software Skills: Extensive experience with Schrodinger suite, RDKit, Amber MD package, and Rosetta.Data Analysis Skills: Familiarity with principles of experimental design and modern data analysis paradigms is required.Experience with modern machine learning methods is desired.Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts.Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.EEOC Poster
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