Senior/Principal Computational Chemist

Superluminal Medicines Inc.; Boston (MA); On-site; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company at the forefront of generative biology and chemistry, where you can leverage your computational chemistry expertise to revolutionize drug discovery. This role offers the chance to work with an interdisciplinary team, conducting innovative analyses and developing cutting-edge computational tools that impact human healthcare. With a focus on creativity and collaboration, you'll contribute to the advancement of small molecule drug development, utilizing state-of-the-art technologies and methodologies. If you're passionate about making a difference in healthcare and thrive in a dynamic environment, this opportunity is perfect for you.

Qualifications

• 7-10 years of experience in drug discovery and computational chemistry.
• Expertise in cheminformatics methods and molecular modeling.

Responsibilities

• Conduct analyses integrating computational and experimental data.
• Collaborate with scientists to enhance computational efforts.

Skills

Computational Chemistry

Machine Learning

Cheminformatics

Data Analysis

Interdisciplinary Collaboration

Education

Ph.D. in Computational Chemistry

Ph.D. in Computational Biology

Ph.D. in Biophysics

Tools

RDKit

OpenBabel

AlphaFold

DeepChem

PyTorch

Schrödinger

Cresset

Amber

NAMD

GCP

Job description

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About Superluminal Medicines:

Superluminal Medicines is a generative biology and chemistry company revolutionizing the speed and accuracy of how small molecule medicines are created. The company's platform aims to create candidate-ready compounds with unprecedented speed using deep biology, computational and medicinal chemistry, machine learning, and proprietary big data infrastructure. We are expanding our team of talented scientists to build the future of small molecule drug discovery with creativity and innovation.

About the Role:

Working with us offers a unique opportunity to build and grow a fruitful career and apply your computational chemistry expertise to impact human healthcare and treat multiple diseases. You will also contribute to advancing drug discovery and development.

Responsibilities:

1. Conduct analyses integrating computational and experimental data to formulate testable hypotheses that drive drug discovery programs.
2. Collaborate with an interdisciplinary team of scientists to enhance the impact of computational efforts on our platform and projects.
3. Effectively communicate computational results among stakeholders, with visualizations in 2D/3D.
4. Develop innovative approaches to streamline computational tools and workflows, deployed in cloud environments (GCP).
5. Curate datasets, create and train ML/AI models, and apply them to giga-scale virtual screening.
6. Apply modern cheminformatic analysis and visualization tools to high throughput virtual screening datasets.

Preferred Qualifications:

1. Ph.D. in Computational Chemistry, Computational Biology, Biophysics, or related discipline.
2. 7 to 10 years of experience in drug discovery.
3. Expertise in modern computational chemistry and cheminformatics methods, including molecular mechanics, dynamics, free energy evaluation (TI/FEP), RDKit, OpenBabel, etc.
4. Proven experience in structure-based drug design and machine learning applications like AlphaFold, DeepChem, PyTorch.
5. Experience with molecular modeling packages such as Schrödinger, Cresset, Amber, NAMD.
6. Familiarity with cloud platforms like AWS, GCP.
7. Proficiency in Unix/Linux environments.
8. Strong interpersonal and communication skills, with the ability to conduct independent research.

Equal Opportunity Statement:

Superluminal Medicines is an Equal Opportunity Employer committed to a diverse workforce. All qualified applicants will receive consideration without regard to race, color, creed, religion, national origin, age, disability, veteran or military status, or gender identity.