Applied Scientist, Machine Learning

Machine Learning Scientist

The simulation and molecular sciences group at Pfizer is seeking a data engineer to design and implement computational workflows to accelerate drug discovery. The successful candidate will help us leverage on-premise compute clusters and cloud computing environments to derive insights from Pfizer’s proprietary data and external datasets and generate and score new drug candidates across small molecule, biologic, and mRNA-based therapy spaces. The ideal candidate will create and maintain optimal data pipeline architectures, propose, develop, and assist in the deployment of data pipelines, including deep generative models, graph convolutional neural networks and transformer architectures, that help drive decision making for drug designers and bench scientists across all of Pfizer’s therapeutic areas and modalities as well as assemble large, complex data sets that meet functional/non-functional SMS business requirements. The candidate will also be encouraged to publish and present their work in reputed journals and conference/workshop venues.

Basic Qualifications:

• BS in Computer Science, Statistics, Applied Mathematics, Computational Biology / Bioinformatics, Computational Chemistry / Cheminformatics, related technical discipline, or related practical experience.

• 2+ years' experience programming experience in Python.

• 2+ years' experience in software design, development, and algorithm-related solutions for production-grade systems using machine learning.

• Applied experience with major ML algorithms in either of natural language processing, computer vision, and information retrieval (CNNs, transformers, etc.)

Preferred Qualifications:

• MS/PhD + 2 years of relevant work experience

• Experience with high performance computing (HPC) environments (SLURM/LSF/SGE schedulers)

• Familiarity with cloud computing platforms (AWS, Google Cloud, etc.)

• Practical experience with deep learning-based solutions

• Familiarity with cheminformatics toolkits (e.g. OpenEye, RDKit etc.)

• Experience in designing and productionizing large-scale distributed systems for machine learning models.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

• Experience with big data tools: Hadoop, Spark, Kafka, MQTT etc.

• Experience with deploying and managing models with Kubernetes for MLOps

• Experience with continuous integration and configuration management (git and GitHub, Gradle, Jenkins, etc).

• Experience with deploying ML/DL models at scale in production

• Passion and curiosity for data and proven ability to take ideas from research to production.

Technologies We Use:

• Python, Java, C++, Slurm-based on-premise compute clusters, Google Cloud Platform, AWS, Docker, Singularity, Kubernetes

• Python (Numpy, Pandas, Dask, PyTorch, TensorFlow, sci-kit learn, RDKit, etc.)

Additional Job Information:

• Relocation support available

• Eligible for employee referral bonus

Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations.

Sunshine Act

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EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.