Ampersand Biomedicines is seeking to develop frameworks and core models to advance their antibody design process using machine learning, aiming to create next-generation antibodies.
Requirements
- Strong background and demonstrated experience in machine learning/deep learning, modeling, simulation, and design, particularly in sequence and structure-based antibody design.
- Demonstrated experience with the state-of-the-art suite of tools for protein design and machine learning approaches (AlphaFold, ESM, ProteinMPNN, RF-Diffusion, Rosetta, etc)
- Demonstrated experience in the Python programming language in addition to standard machine learning tools (PyTorch, TensorFlow, JAX, PyG, PyMC, etc).
- Experience with developing novel AI, structure, or sequence-based methods for biomolecular design.
- 5+ years of industry experience that includes significant work in machine learning, especially in antibody or protein binder design.
- Expertise with common software development tools and best practices: Git, AWS or other cloud experience, testing frameworks, etc.
- Experience with workflow tools such as Dask, Prefect, MLFlow, etc.
Responsibilities
- Design and conduct independent machine learning research to promote antibody binder design.
- Deliver robust, production-quality models that will drive the next generation of antibody design, advancing both engineering and de novo
- Collaborate closely with experimental teams to align with their capabilities, thereby enabling the creation of advanced hybrid platforms.
- Communicate insights and conclusions to colleagues in the scientific and leadership teams.
- Manage members of the Machine Learning team to drive advancements in our AND-Body platform.
- Develop a high-performing and ambitious team by providing mentorship, growth opportunities, and clear career development pathways for direct reports.
- Foster a culture of collaboration and accountability through strong cross-functional communication, ensuring alignment with key stakeholders and driving business success.
Other
- A PhD in biochemistry, biophysics, computational chemistry, computational biology, computer science, machine learning, or a related discipline solving biological or chemical problems using computational approaches.
- Full-time, on-site presence.
- Contribute to building a positive, team-oriented biotech culture.
- Strong communication skills, with the ability to translate complex computational findings into actionable insights within a collaborative group setting.
- Ability to multi-task and prioritize in a fast-paced start-up setting.
