Scientist, Research Associate - Small Molecule Design

SystImmune; Redmond (WA); On-site; USD 80,000 - 100,000; Full time

Job summary

A leading biopharmaceutical company in Redmond seeks a Scientist, Research Associate to leverage AI in small molecule design. The role involves optimizing ligands, developing predictive models, and collaborating with interdisciplinary teams to advance drug discovery efforts.

Benefits

Competitive salary based on experience

Comprehensive benefits including medical, dental, vision

401(k) and paid time off

Opportunities for professional growth

Qualifications

• At least 2 years of experience in small molecule design and molecular dynamics.
• Strong background in computational chemistry and machine learning techniques.

Responsibilities

• Design and optimize small molecule ligands using molecular dynamics and QSAR.
• Utilize molecular modeling software for docking simulations and virtual screening.

Skills

AI-driven small molecule design

Computational Chemistry

Machine Learning

Communication

Education

Master's or Ph.D. in Computational Chemistry

Tools

AutoDock

Schrodinger

Open Babel

TensorFlow

PyTorch

Job description

Scientist, Research Associate - Small Molecule Design

SystImmune Inc. is a cutting-edge biopharmaceutical company leveraging Artificial Intelligence (AI) and machine learning to accelerate drug discovery. Our platform aims to transform the development of therapeutics for diseases such as cancer and infectious diseases.

Job Summary: We seek a talented Scientist, Research Associate with expertise in AI-driven small molecule design, generative molecule design, molecular dynamics, QSAR, and docking simulations. The successful candidate will work with our interdisciplinary team to apply computational methods and machine learning techniques to discover and design novel small molecules for therapeutic development.

Key Responsibilities:

• Design and optimize small molecule ligands using molecular dynamics, QSAR, and docking techniques.
• Develop AI-driven approaches to predict molecular properties and optimize drug-like characteristics.
• Utilize molecular modeling software (e.g., AutoDock, Schrodinger, Open Babel) for docking simulations and virtual screening.
• Apply generative models (e.g., GANs, VAEs) to design novel molecules with desired properties.
• Use machine learning algorithms to analyze large datasets and identify patterns for molecule design.
• Interpret computational data to guide drug design decisions, focusing on pharmacokinetics, toxicity, and efficacy.
• Collaborate with medicinal chemistry, biology, and computational teams to integrate AI into workflows.
• Stay updated on advancements in small molecule design and computational chemistry to improve processes.

Requirements:

• Master's or Ph.D. in Computational Chemistry, Bioinformatics, Biophysics, Medicinal Chemistry, or related field.
• At least 2 years of experience in small molecule design, molecular dynamics, QSAR, and docking.
• Strong background in computational chemistry and machine learning techniques.
• Experience with AI-driven small molecule design tools (e.g., DiffDock, ProteinMPNN, RDKit).
• Proficiency in Python, R, or C++, and experience with molecular modeling software and frameworks like TensorFlow or PyTorch.
• Excellent communication skills for presenting complex data to diverse stakeholders.

Preferred Qualifications:

• Experience with generative models such as GANs, VAEs, or Reinforcement Learning.
• Familiarity with AI-driven drug discovery platforms (e.g., DiffDock, ProteinMPNN).
• Contributions to scientific publications or conferences in the field.
• Knowledge of integrating biological data (genomic, proteomic, transcriptomic) with drug discovery.

What We Offer:

• Competitive salary based on experience and qualifications.
• Comprehensive benefits including medical, dental, vision, disability insurance, 401(k), and paid time off.
• Opportunities for professional growth in a dynamic environment.

SystImmune is a leading, well-funded clinical-stage biopharmaceutical company in Redmond, WA, and Princeton, NJ, focusing on innovative cancer treatments using biologics, including bispecific antibodies, ADCs, and other therapeutics. We offer an environment that fosters learning and growth, with a commitment to diversity and equal opportunity.