Senior Scientist, Computational Biotherapeutics Engineering

Senior Scientist, Computational Biotherapeutics Engineering Location: United States – Massachusetts – Cambridge Overview 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. What You Will Achieve 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. How You Will Achieve It 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 developability 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 developability 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 developability platform, offering both individual and team‑based innovative solutions. Qualifications 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., NumPy/SciPy, scikit‑learn, PyTorch), including training and evaluation workflows. Experience working with large biological datasets and bioinformatics resources. Nice to Have Experience with protein language models (e.g., ESM‑family models), generative structure models (e.g., RFdiffusion, BoltzGen, BindCraft) and structural prediction AI models (e.g., AlphaFold). Familiarity with equivariant or structure‑aware neural networks. Knowledge of antibody structure, multispecific design or developability 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). Work Location Assignment: Hybrid Hybrid colleagues are required to be onsite or in‑person for an average of 2.5 weekdays (Monday to Friday) per week. Compensation and Benefits The annual base salary ranges from $93,600.00 to $156,000.00. 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 days, paid caregiver/parental and medical leave, and health benefits covering medical, prescription drug, dental and vision. Compensation and benefit packages vary by location; the U.S. salary range provided does not apply to Tampa, FL or to any location outside the United States. Relocation Assistance Relocation assistance may be available based on business needs and/or eligibility. Employment Eligibility Candidates must be authorized to be employed in the United States by any employer. U.S. work visa sponsorship (such as TN, O‑1, H‑1B, etc.) is not available for this role now or in the future. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. If you are a licensed physician who incurs recruiting expenses that Pfizer reimburses, your name, address and amount of payments will be reported. If you have questions, please contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or expression, national origin, disability or veteran status. Pfizer complies with applicable laws governing nondiscrimination and work authorization. Pfizer is an E‑Verify employer. This position requires permanent work authorization in the United States. #J-18808-Ljbffr Pfizer, S.A. de C.V