Sr. Data Scientist (NLP)

Ontada is a leading oncology real-world data and evidence, clinical education and provider technology business dedicated to transforming the fight against cancer. Part of McKesson Corporation, we support science through our data, technology, and channels, which accelerate innovation for life science companies, support the education of community oncology providers and advance patient care. Together with our partners, we improve the lives of cancer patients.

Position Summary

We are looking for an experienced Senior Natural Language Processing (NLP) Data Scientist with strong technical skills. The Senior NLP Data Scientist is involved in the full lifecycle of data solutions, from data engineering, modeling, operationalizing, presentation, and maintenance. It is the ideal opportunity to become part of an innovative and energetic team developing insights to advance oncology care.

Key Responsibilities:

• Collaborate with product management, product owners and engineering departments to understand business needs and devise solutions.
• Work closely with analysts, data warehousing, and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing, and developing optimal data architectures, and experimenting on new ML techniques
• Communicate process, requirements, assumptions and caveats of advanced ML and NLP concepts and deliverables in laymen languages to non-technical business leaders
• Research and prototype NLP-based solutions by utilizing data sources such as genomics, medical imaging, and speech-to-text outputs from healthcare technologies such as Nuance's Dragon suite.

Technical responsibilities

• Develop ML NLP models from unstructured healthcare data such as provider notes, EMR attached documentation, etc
• Maintain and enhance Optical Character Recognition (OCR) support for running NLP on scanned healthcare documents
• Participate in the full lifecycle of end-to-end NLP and OCR solutions, from planning, designing, technical implementation, deployment, validation, support, and maintenance
• Handle data engineering tasks using Python, PySpark, and Pandas.
• Make use of state-of-the-art NLP model architectures such as BERT (and derivatives like BioBERT, RoBERTa, etc.), BiLSTM, and XLNet in NLP pipelines.
• Design, implement, deploy, and maintain deep learning and ML models using cloud technologies (e.g., Azure Databricks)
• Provide mentorship and guidance to junior team members in areas of technical and professional development
• Develop creative solutions for diverse problems including unstructured data, ontology development, and ML applications
• Evaluate new technologies and tools prior to wider adoption

Minimum Requirements

• A degree in a quantitative field such as Statistics, Machine Learning, Mathematics, Computer Science, Economics, Epidemiology or any other related field (Master’s Degree or higher preferred)
• 5 years of industry experience in ML and/or data science roles in healthcare

Additional Critical Skills

• Proficient in big data technologies such as Hadoop, or Spark
• Deep understanding of NLP tools and frameworks such as Spark NLP, spaCy, HuggingFace, Flair, NLTK, etc
• Deep understanding of various machine learning/deep learning algorithms, including supervised, unsupervised, and reinforcement learning methods.
• Proficient in OCR technologies such as Tesseract
• Development and ML experience in cloud platforms such as Microsoft Azure

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves. For more information regarding benefits at McKesson, please click here.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

Our Base Pay Range for this position

McKesson is an Equal Opportunity/Affirmative Action employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.Qualified applicants will not be disqualified from consideration for employment based upon criminal history.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to Disability_Accommodation@McKesson.com. Resumes or CVs submitted to this email box will not be accepted.

Current employees must apply through the internal career site.

Join us at McKesson!