Senior Machine Learning Research Scientist

04 Dec 2022
24 Dec 2022
Employer Sector
Contract Type
Full Time
Role Summary The WRDM Research Hub is seeking an experienced machine learning research scientist to design and implement machine learning tools to accelerate drug discovery. The successful candidate will lead efforts to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum. The individual will also design, establish, and manage external collaborations to advance Pfizer's ML capabilities. Role Responsibilities The candidate will propose, adapt/develop, and validate contemporary ML model architecture to help drive decision making for scientists across all of Pfizer's therapeutic areas and modalities. The successful candidate will survey the external landscape for ground-breaking approaches and leverage the most promising techniques for application in the biomedical arena. Principal downstream application domains include target selection, mechanistic elucidation, and patient selection, partnering with practitioners in these areas to advance the state-of-the-art. Importantly, the candidate will also be expected to publish and present their work in reputed journals and conference/workshop venues Qualifications Bachelor's degree Formal training in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry, Physics, related technical discipline, or relevant practical experience. 5+ years' experience programming experience in Python. 5+ years' experience in ML algorithm design, development, and algorithm-related solutions for production-grade systems using machine learning. Working 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.) Demonstrated ability to inform and drive strategy in the field of ML Research, with experience to lead an internal or external matrix team. Preferred Qualifications MS/PhD preferred Experience with high performance computing (HPC) environments (SLURM/LSF/SGE schedulers) Familiarity with cloud computing platforms (AWS, Google Cloud, etc.) Practical experience with implementing deep learning-based solutions Strong publication record and demonstrated contributions to the field, e.g. NeurIPS, ICML, ICLR, 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-premise compute clusters, Google Cloud Platform, AWS, Docker, Singularity, Kubernetes, Python (Numpy, Pandas, Dask, PyTorch, TensorFlow, sci-kit learn, RDKit, Weights and Biases etc. Relocation assistance may be available based on business needs and/or eligibility. 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 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