Arvinas is a clinical-stage biopharmaceutical company leading the way in targeted protein degradation therapeuticsArvinas is the first company to focus solely on protein degradation and its platform technology is the most advanced in the fieldSince its founding in 2013, arvinas’ protac® discovery engine has been driving the most significant breakthroughs in the industryArvinas’ pipeline encompasses a range of validated and undruggable targets in oncology, immuno-oncology, and neuroscienceThis includes two clinical-stage programs: arv-110, which is being developed as a potential treatment for men with late-line metastatic castrate-resistant prostate cancer, and arv-471, which is being developed as a potential treatment for patients with breast cancer.
#teamarvinas is made up of more than 200 passionate and curious employees, whose diverse thoughts and perspectives are highly valuedArvinas employees embrace the freedom to pursue innovation, think creatively, and give backThey are driven by the company’s values and purpose – to improve the well-being of patients and families impacted by the devastating diseases arvinas is working to treatIt’s an exciting time to be in drug development and it’s an exciting time to be at arvinasBut don’t just take our word for it – here’s what arvinas employees are sayingFor more information, please visit www.arvinas.com.
Position summary
We are looking for someone with extensive expertise in traditional computational drug design and/or cutting-edge machine learning-driven drug designYou will play a key role in advancing various drug discovery projects from initial hit identification to the nomination of clinical drug candidates, as well as developing rational drug design strategiesYou will be involved in multidisciplinary teams including computational chemists, medicinal chemists and biologistsThis position may be performed remotely from a location in the us.
This position reports to the director, computational chemistry located at our headquarters in new haven, ctThis role may be performed remotely from a location in the us.
Principal responsibilities
Key responsibilities of this role include, but are not limited to:
Supports and drives the discovery and advancement of targeted protein degraders (protactm molecules) through computational and molecular modeling input.
Works closely with medicinal chemists, biologists and pharmacologists to develop and mature hit identification and lead optimization strategies and to execute from a computational perspective.
Develops molecular models and sar rules in both classical and non-classical scenarios.
Develops in vivo pharmacokinetic models and in vitro adme models.
Performs virtual screening and compound design using structure-based design methods.
Participates in selecting, evaluating and implementing software suites.
Develops cutting-edge deep learning technologies for applications in virtual screening, lead optimization and other drug-discovery related problems.
Qualifications
5-12 years of drug discovery experience.
Strong understanding of modeling and computational principles related to protein conformation, protein-protein interaction, protein-ligand interaction and physicochemical properties of compounds.
Demonstrated expertise in at least four areas from: virtual screening/docking, de novo design, compound redesign or optimization, molecular dynamics simulation, free energy perturbation, qsar, dmpk models.
Advanced knowledge of schrödinger’s drug discovery suite is a plus.
Development and coding experience in python, perl, shell scripts, c and/or c++ is highly desirable.
Experience in at least one of the artificial intelligence algorithms (tensorflow, pytorch, pycaret, keras) is a plus.
Experience in cheminformatics is a plus.
Experience in computer system administration is a plus.
Strong track-record of patents and publications.
A successful candidate will have an enabling attitude, be a problem solver and have a desire to work in a collaborative manner across all the functional areas.
Strong communication skills.
Education
Ph.dIn a computational chemistry/molecular modeling-related area.
#li-remote
Arvinas is proud to offer a competitive package of base and incentive compensation as well as a comprehensive benefits program designed to support the health, wellness and financial security of our employees and their familiesBenefits include group medical, vision and dental coverage, group and supplemental life insurance, and much moreTo learn more about arvinas, please visit www.arvinas.com
Arvinas is an equal opportunity employer
