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Ten63 Therapeutics

Principal Scientific Engineer

Ten63 Therapeutics, Durham, North Carolina, United States, 27703

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Ten63 Therapeutics is focused on improving human health by developing better, more durable therapeutics against cancer and some of the world's most lethal diseases. We are leveraging our proprietary in silico platform BEYOND to generate novel therapeutics to hit previously undruggable targets. We're pioneering an engineered approach to drug discovery by scaling quantum simulations and fusing them with generative chemistry to tackle previously undruggable, high-impact targets. Our team of pioneering scientists, engineers, drug hunters and quantum chemists values passion, teamwork, out-of-the-box thinking and determination to solve even what seems impossible. We embrace diversity and are committed towards inclusion.

Position Overview We are seeking an exceptional Principal Scientific Engineer to join our team of pioneering scientists, engineers, drug hunters and quantum chemists. This role requires a unique combination of deep scientific knowledge in chemistry or medicinal chemistry and expert-level C++ programming skills to build the computational infrastructure powering our BEYOND platform and generative molecular design capabilities. As a key technical liaison, you will bridge the gap between chemists, engineers, and drug designers, translating complex scientific requirements into elegant software solutions.

Key Responsibilities

Design and implement high-performance C++ software for generative molecular design, 3D molecular modeling, and drug discovery applications

Lead the architecture and development of computational chemistry tools that enable novel therapeutic design against undruggable targets

Collaborate with research scientists and quantum chemists to translate complex algorithms and methodologies into efficient, production-quality code

Serve as a technical bridge between chemists, engineers, and drug designers, effectively communicating complex technical concepts across disciplines

Optimize performance-critical code for large-scale molecular simulations and generative chemistry calculations

Drive innovation in computational approaches to undruggable targets and data-poor target spaces

Mentor engineers and contribute to technical strategy for our in silico platform

Implement best practices in software engineering including code review, testing, and documentation

Facilitate cross-functional collaboration through clear, effective communication of technical requirements and solutions

Required Qualifications

PhD in Chemistry, Medicinal Chemistry, Computational Chemistry, Chemical Engineering, or related field, or equivalent industry experience

8+ years of professional software development experience with demonstrated expertise in C++

Deep understanding of chemistry principles, molecular structures, and chemical processes

Strong mathematical background, particularly in linear algebra, 3D modeling, and spatial transformations

Experience working with 3D molecular structures and structure-based drug design

Strong knowledge of modern C++ (C++14/17/20) including STL, templates, and memory management

Experience with performance optimization, parallel computing, and algorithm design

Proven track record of delivering complex scientific software projects from conception to deployment

Excellent communication skills with demonstrated ability to effectively collaborate with chemists, engineers, and drug designers

Ability to translate scientific requirements into technical specifications and explain complex technical concepts to non-technical stakeholders

Passion for solving seemingly impossible problems and pushing the boundaries of what's possible

Strong problem-solving skills and ability to work at the intersection of science and engineering

Preferred Qualifications

Experience with generative chemistry methods and molecular design algorithms

Knowledge of molecular dynamics, drug-target interactions, or computational drug design

Experience with 3D molecular visualization and structure-based drug design

Experience with computational chemistry software packages (PSI4, ORCA, Schrödinger Suite, RDKit, etc.)

Proficiency with GPU programming and HPC environments

Familiarity with AI/ML applications for chemistry and drug discovery

Experience with cheminformatics and molecular property prediction

Background in structure-based drug design or protein-ligand interactions

Publications in computational chemistry or scientific computing

Additional programming skills (Python)

Experience with scientific computing libraries (Eigen, Boost, BLAS/LAPACK)

Experience with 3D graphics programming or computational geometry

Technical Skills

Expert-level C++ programming

Scientific computing and numerical methods

Performance optimization and parallel computing

Version control systems (Git)

Build systems (CMake, Make)

Debugging and profiling tools

Unit testing frameworks

Data structures and algorithms

What We Offer

Opportunity to work on previously undruggable targets and fundamentally change the paradigm of drug discovery

Collaborative environment with world-class scientists, engineers, drug hunters, and quantum chemists

Competitive compensation package including equity

Comprehensive healthcare, life, short- and long-term disability insurance

401K matching

Free gym membership

Beautiful, modern office space in an award-winning building located in the heart of Research Triangle Park

Access to cutting-edge computational resources and our proprietary BEYOND platform

Ten63 Therapeutics is an equal opportunity employer. We embrace diversity and are committed towards inclusion. We encourage applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.

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