Senior AI/ML Data Scientist - Natural Language Processing

4 days ago

🇺🇸 United States – Remote

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🏖️ New Jersey – Remote

Although this job is listed in New Jersey, this company may be open to hiring remote in other states.

+3 more states

🏄 California – Remote 🏖️ New Jersey – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote

💵 $122.8k - $193.3k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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MSD

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1891

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Description

• Develop and deploy production-grade NLP products for unstructured and semi-structured data • Help solve real-world problems and contribute to AI/ML in therapeutic research and development • Scalable deployment of ML and generative AI approaches for surfacing insights from proprietary unstructured research data and biomedical literature. • Develop fit-for-purpose approaches for text classification, relation extraction, and entity linking. • Consult with stakeholders on their own projects • Enhance data science, NLP, and AI literacy across teams • Coauthor presentations, reports, manuscripts, and public code releases • Embedded in a cross-disciplinary team focused on drug discovery and development.

Requirements

• Bachelor's degree with 5 years industry experience focused on NLP, data science, AI/ML/LLM engineering, computer science, semantic engineering or a related discipline. • Minimum of 2 years experience with Python, Spark, or related frameworks in AI, machine learning, data science, data engineering, or similar context • Minimum of 1 years experience with Natural Language Processing, Generative AI, or related techniques for machine understanding of natural language. • A PhD in data science, AI/ML/LLM engineering, computer science, semantic engineering or a related discipline is preferred. • M.S. with 2 years industry experience is preferred. • Fluency in Python programming, version control and collaboration with git, environment management, standard Python packages, and at least one ML framework. • Experience with scalable data engineering frameworks. • Experience with ML model deployment and operations. • Working knowledge of statistical learning, particularly in NLP contexts. • Excellent communication, teamwork, didactic, and leadership skills.

Benefits

• Bonus eligibility • Long term incentive if applicable • Health care and other insurance benefits (for employee and family) • Retirement benefits • Paid holidays • Vacation • Sick days