This role pays less than
95%
of similar roles. Most pay
$166,707–$248,375
— the shaded band above.
At the midpoint, this role pays about
$125k
versus about
$208k
for comparable roles.
Based on 240 similar postings.
Employer
About Pfizer
Pfizer Inc. is one of the world''s largest biopharmaceutical companies, researching, developing, manufacturing, and marketing medicines and vaccines across multiple therapeutic areas including oncology, cardiology, and infectious diseases. Industry: Biopharmaceuticals
Pfizer currently has
27 open roles
on FindRole.
Listed pay typically runs
$106,000–$176,600
across 27 roles with salary data.
Senior Scientist, Computational Biotherapeutics Engineering joins the BioMedicine Design team to advance biotherapeutic discovery and engineering through advanced computational methods. The role involves implementing and evaluating state-of-the-art AI/ML workflows for protein modeling, representation learning, and generative model development in HPC or cloud environments. You will collaborate with experimental scientists to optimize lead candidates, develop training strategies for new architectures, and analyze large-scale sequence and structure datasets to link protein features to pharmaceutical properties. Key technical requirements include proficiency in Python and libraries such as PyTorch, NumPy, and scikit-learn, alongside experience with transformer or diffusion-based models. The work focuses on solving complex challenges in antibody developability, protein design, and molecular optimization to accelerate the development of clinical molecules within a specialized biotherapeutics research and development framework.
Remote (Foster City, CA)8 days ago
$169,320–$219,120
Python
PyTorch
JAX
Machine Learning
Deep Learning
Generative Modeling
Protein Language Models
Foundation Models
Geometric Neural Networks
AlphaFold
Active Learning
Multimodal Learning
Representation Learning
Data Integration
Design-Build-Test-Learn
Remote (West Point, PA)8 days ago
$117,000–$184,200
Biologics
Cell Culture
cGMP
Process Development
Upstream Processing
Design of Experiments (DOE)
Technology Transfer
Mammalian Cell Culture
Chromatographic Techniques
Quality by Design (QbD)
Lean Six Sigma
Regulatory Submissions
IND
MAA
BLA
Statistical Data Analysis
Python
R
Machine Learning
Genomics
Data Science
Cloud Computing
Large Language Models
Generative AI
Statistics
Computational Biology
Toxicology
Pharmacology
Molecular Profiling
Analytical Workflows
Dashboards