Register
Recruit Create CV
Unfortunately, this job posting is expired.
Don't worry, we can still help! Below, please find related information to help you with your job search.
Related keywords
Some similar recruitments
Senior Staff Machine Learning Engineer, Applied Science
Recruited by Pinterest 9 months ago Address , Remote
Machine Learning Infrastructure Engineer - (Multiple Levels)
Recruited by Salesforce 9 months ago Address , Dallas, 75201 $133,400 - $254,700 a year
Senior Machine Learning Scientist
Recruited by DeepCure 9 months ago Address , Remote
Machine Learning Engineer Jobs
Recruited by Luxoft 9 months ago Address , Remote
Machine Learning Engineer/ Ai Research Consultant
Recruited by Unic AG 11 months ago Address , Remote
Senior Software Engineer - Machine Learning (Us Remote)
Recruited by Splunk 11 months ago Address , Remote $136,800 - $188,100 a year
Engineer I, Machine Learning
Recruited by Flagship Pioneering, Inc. 11 months ago Address , Cambridge, 02142, Ma
Machine Learning Scientist, Autopilot Foundation Models
Recruited by Tesla 1 year ago Address , Palo Alto, Ca
Senior Machine Learning Engineer
Recruited by Vanguard 1 year ago Address , Malvern, Pa
Software Engineer Ii - Machine Learning
Recruited by Staples 1 year ago Address , Remote
Learning Engineer Jobs
Recruited by Southern New Hampshire University 1 year ago Address , Remote
Research Scientist, Machine Learning / Ai
Recruited by Basis 1 year ago Address , Remote
Machine Learning Engineer, Amazon
Recruited by Amazon.com Services LLC 1 year ago Address , Palo Alto, Ca From $115,000 a year
Software Engineer, Machine Learning
Recruited by Meta 1 year ago Address , Remote $173,000 - $241,000 a year

Machine Learning Data Engineer

Company

Pfizer
Address , Cambridge, Ma
Employment type FULL_TIME
Salary $96,900 - $161,600 a year
Expires 2023-07-02
Posted at 1 year ago
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.
The successful candidate will work with ML research scientists across WRDM to enable our proprietary data and external datasets to be leveraged for ML modeling.
This will be accomplished by designing and 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. On projects the candidate will be asked to server as the technical lead coordinating internal and external resources, technology stack, algorithmic approach and be responsible for the overall delivery of the project.
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.
Qualifications
  • Deep 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.)
  • 4+ years' experience in software design, development, and algorithm-related solutions for production-grade systems using machine learning.
  • 4+ years' experience programming experience in Python, Java, Scala, C++, or SQL.
  • 4+ years' experience in managing code composed of multi-developer teams, following industry best practices.
  • Bachelor’s degree in computer science, Statistics, Applied Mathematics, Chemistry, Physics, a life science discipline, or related technical discipline.

Preferred Qualifications
  • Experience with containerization and orchestration tools (e.g., Docker, Singularity, Airflow, Luigi, Kubernetes, etc.)
  • MS/PhD + 2 years of relevant research experience
  • Experience with workflow languages (CWL, WDL, Next flow, etc.)
  • Experience with CI/CD and automation tools (Terraform, CloudFormation, Jenkins, Ansible, etc.)
  • Experience with cloud computing infrastructure including Amazon Web Services (AWS) and distributed computing libraries (e.g., Spark, Hive, Impala, Kafka, etc.)
  • Experience with high performance computing (HPC) environments (SLURM/LSF/SGE schedulers)
  • 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 $96,900.00 to $161,600.00. In addition, this position offers an annual bonus with a target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program. Benefits offered include a retirement savings plan, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans. Salary range does not apply to the Tampa, FL location.
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.
Information & Business Tech