Senior Scientist, Computational Biotherapeutics Engineering

Senior Scientist, Computational Biotherapeutics Engineering

Location:

United States – Massachusetts – Cambridge

We’re in relentless pursuit of breakthroughs that change patients’ lives. At Pfizer Research & Development we aim to convert advanced science and cutting‑edge technologies into impactful therapies and vaccines. As a senior scientist in Biotherapeutics Engineering you will leverage computational AI/ML methods to accelerate discovery and optimization of industry‑leading biotherapeutics.

Implement, evaluate and apply state‑of‑the‑art AI/ML methods to advance biotherapeutic discovery and engineering, integrating new models into scalable discovery workflows and decision‑making. By collaborating across departments you will shape next‑generation AI/ML architectures, training strategies, and evaluation approaches for biotherapeutic design, and influence the design of clinical molecules.

• Implement advanced cutting‑edge AI and machine learning workflows for computational protein design in HPC or scalable cloud computing environments.
• Collaborate with machine learning colleagues on the design and training of AI/ML models for antibody develop ability engineering and apply these models to optimize leads for antibody drug discovery projects.
• Stay informed about developments in NLP, ML and generative AI, creating innovative solutions for molecular discovery, design and optimization.
• Serve as a technical expert in deep learning models for protein sequence and structure, supporting discovery teams with AI/ML‑driven design strategies.
• Analyze large‑scale sequence, structure and experimental datasets to learn representations linking protein features to develop ability and pharmaceutical properties.
• Communicate complex scientific ideas, model behavior, limitations and design recommendations to both technical and non‑technical audiences, fostering collaborations across multidisciplinary teams.
• Collaborate with computational and wet‑lab experts to optimize the computational develop ability platform, offering both individual and team‑based innovative solutions.

• PhD in biochemistry, computational chemistry, computational biology, machine learning or related field with 0–3 years of experience, or Master’s degree with 7–8 years of experience, or BA/BS with 9–11 years of experience.
• Demonstrated track record (publications or equivalent impact) of using AI/ML‑driven protein modeling/design to influence project direction and strategy.
• Hands‑on experience using and interrogating modern AI/ML models for protein representation, structure prediction or generation (e.g., transformer or diffusion‑based approaches).
• Strong understanding of protein structure, sequence‑structure relationships and model evaluation.
• Experience programming in Python and using modern scientific or machine learning libraries (e.g., Num Py/Sci Py, scikit‑learn, PyTorch), including training and evaluation workflows.
• Experience working with large biological datasets and bioinformatics resources.

• Experience with protein language models (e.g., ESM‑family models), generative structure models (e.g., RF diffusion, Boltz Gen, Bind Craft) and structural prediction AI models (e.g., Alpha Fold).
• Familiarity with equivariant or structure‑aware neural networks.
• Knowledge of antibody structure, multispecific design or develop ability modeling.
• Experience running and scaling deep learning workloads on HPC/GPU/cloud environments using technologies such as Slurm, AWS, or Google Cloud.
• Experience with structure‑based molecular modeling software (Rosetta, Schrödinger, MOE, FoldX).

Hybrid colleagues are required to be onsite or in‑person for an average of 2.5 weekdays (Monday to Friday) per week.

The annual base salary ranges from $93,600.00 to $. In addition the position is eligible for participation in the Pfizer Global Performance Plan with a bonus target of 12.5% of the base salary and a share‑based long‑term incentive program. Benefits include a 401(k) with matching contributions, retirement savings contribution, paid vacation, holiday and personal…