Senior Software Engineer (Contractor- Tristan Croll) at Altos Labs

Cambridge, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

88600.0

Posted On

07 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C++, PyBind11, PyQt5, PySide2, OpenGL, Molecular Dynamics, AMBER, CHARMM, PyTorch, TensorFlow, Shader Programming, 3D Geometry Manipulation, Spatial Data Structures, Scientific Computing, Structural Biology

Industry

Biotechnology Research

Description

Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at altoslabs.com. Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. Job Title: Scientific Software Engineer (Contractor) Location: Cambridge, UK Term: 12 months The Mission At Altos Labs, we are driven by a singular goal: transforming medicine through cellular rejuvenation programming. We are seeking a highly skilled Programming Contractor to enhance our suite of molecular modeling and structural biology tools. You will build the engines and interfaces that allow our scientists to interact with the building blocks of life at atomic resolution, bridging the gap between experimental data and computational simulation. The Role You will be responsible for developing and optimizing high-performance software designed for the real-time manipulation of macromolecular structures. This role requires a developer who can move seamlessly between low-level physics optimizations and high-level user interface design. Technical Requirements Python Mastery: Expert-level experience in Python for scientific computing and software architecture. High-Performance Plumbing: Proven experience with modern C++ and creating seamless Python bindings (ideally using PyBind11) to bridge performance-critical kernels with flexible user interfaces. Scientific UI/UX: Strong experience developing desktop graphical interfaces (ideally using PyQt5 or PySide2). You should be comfortable building intuitive, responsive tools for expert scientific users without sacrificing accessibility to beginners. Interactive 3D Graphics: Experience with high-performance 3D rendering (e.g., OpenGL) and the challenges of visualizing large-scale complex scenes in real time. Candidates with strong depth in at least two of the above areas with clear willingness and ability to expand their scope will be considered. Preferred Qualifications Molecular Dynamics (MD): Deep familiarity with classical force fields (e.g., AMBER, CHARMM) and a passion for the next generation of machine-learning force fields and potentials. Experimental Data Integration: Experience working with structural data derived from X-ray crystallography and/or cryo-EM, specifically regarding model building and refinement. ML Frameworks: Proficiency with frameworks such as PyTorch or TensorFlow, particularly applied to geometric deep learning or molecular property prediction. Graphics Performance: Familiarity with shader programming and optimizing render loops for complex scenes containing millions of primitives. Virtual and Mixed Reality: Familiarity with and interest in VR/AR Key Competencies Ability to translate complex physical equations into efficient, maintainable code. Strong understanding of 3D geometry manipulation and spatial data structures. A collaborative mindset, capable of working alongside world-class structural biologists, computational chemists and computer scientists. Level of experience/education Education: Ph.D. or Master's degree in Computational Chemistry, Computational Physics, Computer Science, or a related field with a strong focus on scientific computing. Experience: Typically 5+ years of post-graduate experience developing and deploying scientific software, preferably in a molecular simulation or structural biology, and/or interactive 3D graphics context. Salary Range: Cambridge £67,300- £88,600 Equal Opportunity Employment We value collaboration and scientific excellence. We believe that diverse perspectives and a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining an inclusive environment. Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/

Responsibilities

The role involves developing and optimizing high-performance software for real-time manipulation of macromolecular structures, bridging the gap between experimental data and computational simulation using molecular modeling and structural biology tools. Responsibilities span from low-level physics optimizations to high-level user interface design for scientific applications.