Computational Theoretical Chemist II

1910; Boston (MA); Sur place; USD 100 000 - 120 000; Plein temps

Avantages offerts par ce poste

Competitive compensation package

Generous vacation and parental leave

Team building activities

Great colleagues

Résumé du poste

1910 in Boston seeks an experienced computational chemist to lead drug discovery efforts. The ideal candidate will have a Ph.D. and extensive experience in quantum chemical methods and molecular dynamics simulations.

This role involves collaboration across interdisciplinary teams, teaching principles of computational chemistry, and progressing drug candidates through the discovery process.

Generous benefits, including a competitive salary and vacation leave, await you.

Qualifications

• 2 years of relevant industry experience within drug discovery or biotechnology.
• Proficient in analyzing molecular properties.
• Experience with HPC Clusters and cloud-based services.

Responsabilités

• Own computational chemistry programs across modalities.
• Collaborate with Biology and Medicinal Chemistry teams.
• Teach computational chemistry principles.

Connaissances

Quantum chemical methods

Molecular dynamics simulations

Python scripting

Drug discovery experience

Collaboration skills

Formation

Ph.D. in computational chemistry or related discipline

Outils

ORCA

GROMACS

RDKit

AWS

Description du poste

We are the only AI-native biotech, pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery.

We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.

Join us to build the world’s first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas.

Computation is revolutionizing drug discovery. Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 , we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, data science, and software engineering to develop drugs for previously undruggable targets.

Role Description

• Own computational chemistry programs across therapeutic modalities, disease targets, and indications
• Ensure effective collaboration with the Biology and Medicinal Chemistry teams byprovidingkey computational chemistry insights to aid in the Hit-to-Lead and Lead Optimization phases of drug discovery operations
• Ensure effective collaboration with the ML Engineering and AI Research team byprovidingkey computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as the incorporation of those models into drug discovery operations
• Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology
• Partner to improve 1910’s existing process for progressing from computational hit to experimental hit to lead to drug candidate
• Co-author provisional patents andpeer-reviewed research papers
• Progress a virtual hit to a biochemical/cellular hit
• Validate a cellular hit in a clinically relevant animal model of disease
• Update provisional patents with the animal model data
• Nominate a lead candidate for progression into IND-enabling studies
• Attend and present research at conferences and events related to computational modeling in drug discovery

Qualifications

• Ph.D. in computational chemistry or related discipline
• 2 years of relevant industry experience within drug discovery or biotechnology
• Played a key role in advancing a drug discovery program from early research phases to clinical development
• In-depth knowledge and hands‑on experience with quantum chemical (QC) methods, including semi‑empirical and density functional theory (DFT) approaches, molecular dynamics (MD) simulations, including both standard MD and enhanced sampling techniques such asmetadynamics, umbrella sampling, and replica exchange MD, free energy simulations such as FEP and TI, and QM/MM methodologies for small and large molecular systems
• Strong understanding of key concepts, including potential energy surfaces (PES), intermolecular and intramolecular forces/interactions, force fields, molecular properties, thermodynamic properties, solvation models (implicit/explicit), and conformational sampling
• Proficiencyin analyzing molecular properties such assolvationfree energy, dipole moments, vibrational frequencies, electrostatic potential, charge distribution, and more.
• Deep knowledge of implicit and explicit solvent models, with extensive experience modeling solvent effects on molecular systems and chemical reactions in various environments
• Extensive experience in using and troubleshooting software tools for QC calculations (e.g., ORCA,xTB, CREST, etc.), MD simulations (e.g., GROMACS,OpenMM, etc.), Drug Design Development Packages (e.g., EG, Schrodinger, MOE, CRESSET)
• Experience working with HPC Clusters andcloud-basedservices like (e.g., Microsoft AZURE, AWS)
• Ability tooptimizecomputational simulation protocols for efficient resource usage
• Proven experience working with small organic molecules and large biomolecular systems (e.g., peptides, proteins, etc.) for property prediction, conformational analysis, and structure-activity relationships (SAR)
• Hands‑on experience with Python and Bash scripting for automating workflows and data analysis
• Familiarity with cheminformatics toolkits such asRDKitfor molecular property prediction and data management
• Basic knowledge of machine learning (ML) techniques applied to molecular property prediction, virtual screening, and related tasks
• Strong desireto collaborate with AI scientists, data scientists, medicinal chemists, and biologists to interpret computational results and guide experimental design
• Clear and effective communication of complex scientific ideas through reports, presentations, and publications

Nice to Haves

• Publicationsin computational chemistry related to drug discovery

#LI-Onsite

Diversity and Inclusion (1910’s Promise)

At 1910, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. 1910 is proud to be an equal‑opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While 1910 supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

Benefits and Perks

• Competitive compensation package
• Generous vacation and parental leave
• Super cool team building activities
• Great colleagues