Senior Data Scientist, Natural Language Processing

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Our Research IT team operates as a business partner proposing ideas and innovative solutions that enable new organizational capabilities. We partner internationally to deliver the services and solutions that help everyone to be more productive and enable innovation.

The Senior Natural Language Processing (NLP) Data Scientist role involves helping to create production-grade NLP products involving unstructured and semi-structured data from across our company’s research and development pipeline. The position is embedded in a diverse team of data scientists, bioinformaticians, and engineers that are all dedicated to accelerating the discovery and development of new therapeutics. We work closely with full-stack development teams and partners embedded in therapeutic research and development to realize this mission.

You will develop and apply NLP methods that solve the real-world problems from across the drug discovery and development pipeline. Key focus areas will include NLP for historical knowledge management (e.g., document classification, expert identification, and recommendation) and for information retrieval (e.g., semantic search).

Tasks include but are not limited to:

• Helping to develop and deliver new therapeutics to patients in need.
• Understanding real-world challenges and developing automated data solutions for them.
• The ability to work directly with users of your data products.
• Evaluating, developing, and testing new data and machine learning approaches for natural language.
• Freedom to propose and pursue projects that interest you.
• Learning about the newest approaches in NLP and machine learning.

Education:

• A PhD (or M.S. and 2+ years of industry experience) in computer science or a similar discipline including projects focused on development of new NLP, information retrieval, or knowledge graph techniques.

Experience:

• Experience with deploying data products on cloud or high-performance computing environments (e.g., AWS).
• Fluency in regular expressions, version control and collaboration with git, Python programming, standard Python packages (e.g., pandas, numpy, matplotlib), and at least one machine learning framework (e.g., pytorch).
• Working knowledge of statistical learning, such as supervised, unsupervised, and weakly supervised learning, particularly in NLP contexts.
• Excellent communication, teamwork, didactic, and leadership skills.

More details:

The types of datasets we focus on are both internal (e.g., electronic lab notebooks, safety reports, regulatory documents, clinical results) and external (e.g., public literature and Electronic Medical Records). In addition to new tool development, we often consult with some of our 3,000+ stakeholders (scientists, engineers, regulatory liaisons, data scientists, etc.) on their own projects, as well as additional stakeholders from across our multi-national company. We strive to enhance data science and NLP literacy across these groups. As part of our work, we have opportunities to coauthor presentations, reports, manuscripts, and/or public code releases.

Our Support Functions deliver services and make recommendations about ways to enhance our workplace and the culture of our organization. Our Support Functions include Human Resources, Finance, Information Technology, Legal, Procurement, Administration, Facilities and Security.