Senior Scientist - Protein Chemistry

EMD Serono Research & Development Institute•Billerica, MA

13d•Onsite

About The Position

EMD Serono in Billerica, MA is seeking a Senior Scientist – Protein Chemistry to add to their Oligonucleotide Therapeutics Group (DDTech). 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 Contribute to building a positive, team-oriented biotech culture

Requirements

PhD in Biochemistry, Biophysics, Computational Chemistry, Computational Biology, Computer Science, Machine Learning or other Science field
3+ years of industry experience in machine learning/deep learning, modeling, simulation, and design, particularly in sequence and structure-based protein design
Experience in leading and managing projects to ensure protein design relevant objectives are met on time and in high quality

Nice To Haves

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

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
Contribute to building a positive, team-oriented biotech culture