Cambridge MA based therapeutics company that harnesses groundbreaking discoveries in cell state and ferroptosis biology to create novel therapies and cures for diseases traditionally considered intractable by connecting complex cell states to known biochemical processes is actively seeking (1) highly skilled Principal Scientist/Associate Director, Computational Chemistry
professional to start immediately. Selected candidate should be innovative, highly motivated, and experienced computational chemist with a demonstrated track record of success in drug discovery and computational chemistry. In this role, the successful candidate will apply computational chemistry techniques, including molecular modeling, structure-based drug design, and cheminformatics methods to enable the company's small-molecule programs across all stages of drug discovery.
*Great location in the heart of Cambridge with plenty of access to commuter rails stops, restaurants, shopping and many other great attractions such as colleges, public gardens, Faneuil Hall, New England Aquarium, Museum of Science, Duck Boats and more!!
location: Cambridge, Massachusetts
job type: Permanent
salary: $125,000 - 140,000 per year
work hours: 9 to 5
- Lead the computational chemistry and cheminformatics infrastructure by developing, implementing, and deploying state-of-the-art computational tools and workflows.
- In close collaboration with medicinal chemists and project teams, apply a wide variety of drug-design and computational chemistry methods towards virtual screening and hit finding, HTS analysis, SAR visualization and library design.
- Develop and implement computational chemistry methods to influence and triage compound design (structure-, ligand- and property-based) and impact overall synthesis decisions.
- Assess chemical tractability using state-of-the-art computational chemistry technologies.
- Utilize structural bioinformatics to evaluate target-class similarity and support target and lead-hopping-based design of compounds.
- As part of the larger discovery organization and in collaboration with bioinformatics, contribute to novel target selection.
- Build close partnerships with all stakeholders in our drug discovery organization to influence Kojin's overarching discovery strategy.
- Prepare and present designs, analysis, and plans in project and company strategy meetings.
- PhD, or equivalent, with 0-3 years of postdoctoral training in the field of chemistry or computational chemistry with 5-8+ years of experience working in small-molecule drug discovery teams in a pharma or biotech setting.
- A demonstrated track record of proven impact through the application of modern computational chemistry and cheminformatics approaches (e.g., structure/ligand/fragment-based design, virtual screening, MD simulations, homology modeling, quantum mechanics, Free Energy Perturbation).
- Demonstrated ability to leverage modern computational chemistry and cheminformatics approaches in solving drug discovery challenges.
- Deep technical expertise with commonly used computational chemistry tools and methods (e.g., Schrödinger, CCG, OpenEye, Rosetta).
- Skilled in cheminformatics approaches, including machine learning, and data analytics/visualization.
- Strong understanding of biology, medicinal chemistry, ADME principles, and multi-parameter compound design and optimization.
- Ability to independently solve problems, to think critically and creatively as part of a fast-paced and multidisciplinary team.
- Excellent organizational skills and ability to multi-task in a fast-paced environment.
- Strong record of external publications, patents, and presentations that demonstrate a track record of creative application of computational approaches to solve problems and advance drug discovery.
- Ability to communicate effectively with all levels of the organization, including colleagues and managers.
- Legally authorized to work in the US.
skills: Data Analysis, Analytical Chemistry, Biology, Chemistry, CDISC, Data Management Plan, Biostatistical Analysis
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.