Senior Machine Learning Researcher

Company Overview: Abiologics, Inc. is a privately held, early-stage biotechnology company on a mission to make biology better through chemistry. We are pioneering the development of Synteins^TM, a transformational class of macromolecular medicines unlocked by novel synthetic and computational technologies. Abiologics is actively seeking exceptional molecular scientists who are passionate about driving chemical innovation in biotechnology.

Abiologics was founded in Flagship Pioneering’s venture creation engine, where companies such as Moderna Therapeutics (NASDAQ: MRNA) and Generate Biomedicines were conceived and created. Since Flagship’s founding in 2000, the firm has originated and fostered the development of more than 100 scientific ventures resulting in more than 500 issued patents and more than 50 clinical trials for novel therapeutic agents.

Position Summary: As part of the Abiologics team, Senior Machine Learning Researchers are responsible for developing the frameworks and core models that drive advancements in our drug discovery process. Successful candidates will collaborate closely with expert protein designers, the software infrastructure team, and members of the experimental team to create impactful models that enhance our drug discovery pipelines.

Responsibilities:

• Design and conduct independent machine learning research, driven by our team’s scientific milestones.
• Collaborate closely with experimental teams to align with their capabilities, enabling the creation of advanced hybrid platforms.
• Deliver production-quality models which will power our next way of drug discovery.

Qualifications:

• A PhD in biophysics, computational chemistry, computer science, AI/ML, or a related discipline solving biological or chemical problems using computational approaches.
• Demonstrated experience with computational approaches to the modeling, simulation, and design of biomolecules (proteins, peptides, DNA/RNA, small molecules, etc.).
• Demonstrated experience in the Python programming language in addition to standard machine learning tools (PyTorch, PyG, PyMC, etc).

Preferred:

• 3+ years of industry experience in machine learning.
• Excellent collaboration skills, with the ability to think independently and contribute to a dynamic intellectual environment.
• Expertise with common software development tools and best practices: Git, cloud/cluster computing, testing frameworks, etc.
• A history of managing machine learning projects with multiple team members.
• Experience with workflow tools such as Dask, Prefect, MLFlow, etc
• Experience with a variety of deep learning models (such as GNNs, diffusion models, large language models, etc.)
• Experience developing novel AI, structure, or sequence-based methods for biomolecular design.
• Experience working on complex scientific problems within a collaborative group setting