Sr Associate Machine Learning Data Engineering (Evergreen)

Key Skills

Ansible, Apache Hive, Apache Impala, Apache Kafka, AWS, C++, Continuous Integration & Continuous Delivery - CI/CD, Docker, Jenkins, Kubernetes-K8s, Luigi, Spark Core, Terraform

Job Description

Pfizer Worldwide Research, Development, and Medical (WRDM) is expanding its work in applying Machine Learning (ML) and Artificial Intelligence (AI) technologies to Biomedical Research. This will enable Pfizer to enhance our drug discovery efforts, sustain our industry leading R&D productivity, and deliver breakthrough medicines to the patients most in need. The centerpiece of this initiative is the establishment of a ML Research Hub, a new group charged with mastering state-of-the-art machine learning techniques to create novel predictive models and tools used across WRDM. Data Engineering will be key to the success of this new group given the enormous scope of the chemical, biological, omics, and clinical data available at Pfizer. The WRDM Research Hub is seeking experienced data engineers with a background in machine learning, software engineering, technical problem-solving skills, and experience in creating scalable data pipelines and infrastructure for training, validating, and deploying into production ML solutions for broad usage.

Role Responsibilities

The successful candidate will work with ML research scientists to enable our proprietary data and external datasets to be leveraged for ML modeling. This will be accomplished by implementing end-to-end data workflows for large-scale data ingestion, processing, tagging, and publishing, with an eye towards improving ML model performance over time.

Basic Qualifications

• Bachelor’s degree in computer science, Statistics, Applied Mathematics, Chemistry, Physics, a life science discipline, or related technical discipline.
• Training or work experience in Python, Java, Scala, C++, or SQL.
• Training or work experience in software design, development, and algorithm-related solutions for production-grade systems using machine learning.
• Knowledge of one or more scientific data types (e.g., biomedical images, biomedical text, large-scale, multidimensional 'omics, large- or small- molecule therapeutics, clinical or Real-World Data, etc.)

Preferred Qualifications

• MS or 2 years of relevant research experience
• Familiarity with high performance computing (HPC) environments (SLURM/LSF/SGE schedulers)
• Familiarity with cloud computing infrastructure including Amazon Web Services (AWS) and distributed computing libraries (e.g., Spark, Hive, Impala, Kafka, etc.)
• Understanding of containerization and orchestration tools (e.g., Docker, Singularity, Airflow, Luigi, Kubernetes, etc.)
• Basic knowledge of CI/CD and automation tools (Terraform, CloudFormation, Jenkins, Ansible, etc.)
• Passion and curiosity for data and proven ability to take ideas from prototype to production.

Technologies We Use:

Python, Java, C++, Slurm-based on-premises compute clusters, Google Cloud Platform, AWS, Docker, Singularity, Kubernetes, Python (Numpy, Pandas, Dask, PyTorch, TensorFlow, sci-kit learn, RDKit, Weights and Biases etc.

The annual base salary for this position ranges from $75,700 to $126,300. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 10% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits| (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

Relocation assistance may be available based on business needs and/or eligibility.

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. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

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.