Technical Product Manager - Search, Summary, and Insight (On-site)

Technical Product Manager - Search, Summary, and Insight (On-site)

Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck.

Job Description

The Search, Summarize, and Insights Technical Product Manager will drive the development of new Natural Language Processing (NLP) and Generative AI workflows for knowledge management and insight generation from unstructured data.

These workflows will help solve real-world problems in the space of drug discovery, development, and delivery.

A key initial focus will be leading the delivery of tailored, end-to-end solutions for text understanding use cases, such as systematic literature review and ad hoc question answering capabilities.

As the Technical Product Manager, you will also partner with technical leads and collaborators across the organization to ensure the adoption and evolution of our strategic vision in this area.

Strategically, we aim to build with an emphasis on software product reuse enabling downstream teams and faster delivery of future workflows and software product innovation allowing experimentation and quick deployment upon success.

The position is embedded in a cross-disciplinary team of data scientists, bioinformaticians, and engineers that are all focused on using cutting-edge software, AI / ML, and data science techniques to drive drug discovery and development.

You enjoy :

• Product ownership : shepherding software development from inception to continuous agile delivery
• Collaboration : partnering with experts from diverse functions (e.g., scientific, engineering, software technology, leadership)
• Building novel tools that enable the discovery, development, and delivery of new therapeutics to patients in need
• Discovery : Understanding real-world challenges and developing automated data solutions for them
• Stakeholder engagement : Directly interacting with users and sponsors of your data science, ML, and AI products
• ML and Large Language Model operations (ML / LLM Ops) : Implementing and standardizing on approaches for the evaluation and monitoring of such models in development and deployment.
• Accountable independence : Freedom to raise and explore new ideas that interest you, based on your understanding of the customers of our products
• AI innovation : Staying updated on the newest methods in NLP, ML, and generative AI
• Knowledge sharing : Presenting the approaches your teams implement and their impact with internal company audiences and externally

You have :

The following are preferred skills and experience, not strict requirements

• Experience with product management, including the delivery of data- and / or ML-driven products from conception to deployment, and approaches for standard product management tasks such as business analysis, problem discovery, product discovery, and prioritization.
• Experience leading agile software development teams and with agile best practices
• Experience with best practices for technical software development and deployment, such as continuous integration practices
• Experience with best practices in Software Development Life Cycle (SDLC) management, including the delivery of documentation and product releases compliant with predefined standards
• A demonstrated ability to engage cross-functional teams and stakeholders, including an eagerness to acquire a level of domain knowledge
• Excellent communication, teamwork, didactic, and leadership skills, including skills for scientific communication (authoring scientific articles and presenting) and guidance and mentorship of junior employees and less experienced collaborators
• Experience with programming in Python, full-stack software development, good documentation practices, version control and collaboration with git, environment management (e.

g., poetry, conda, docker), DevOps tooling (e.g., Infrastructure as Code, Github Actions, Kubernetes), and ML / LLMOps tooling (e.g., MLFlow, LangFuse)

Experience data engineering approaches and frameworks such as Apache Spark and orchestration frameworks such as Airflow, and / or experience with semantic search and retrieval frameworks (e.

g., development and benchmarking of embedding models and retrieval approaches in the context of Retrieval Augmented Generation, RAG).

• Working knowledge of statistical learning, such as supervised, unsupervised, and weakly supervised learning, particularly in NLP contexts.
• Working knowledge of NLP and / or Generative AI libraries (e.g., regular expressions, spacy, langchain), text annotation tools, and / or semantic frameworks (e.

g. RDF triplestores, property graphs, ontology management).

Minimum Requirements :

• Candidates should have a minimum level of relevant experience (product management, data science / AI / ML project / product delivery) depending on their degree experience.
• PhD : 2+ years relevant experience,
• M.A / M.S. : 3+ years, B.A / B.S. : 4+ years

Additional job details :

The types of data these products 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 on how our tools, capabilities, and expertise can support the projects of some of our 5,000+ stakeholders (scientists, engineers, regulatory liaisons, data scientists, etc.

as well as additional stakeholders from across our multi-national company.

Employee Status : Regular

Relocation : Domestic

VISA Sponsorship : No

Travel Requirements : 10%

Flexible Work Arrangements : Not Applicable

Shift : 1st - Day

Valid Driving License : No

Hazardous Material(s) : n / a

Required Skills : Asset Management, Benefits Management, Machine Learning Techniques, Management System Development, Product Management, Requirements Management, Software Development Life Cycle (SDLC), Stakeholder Relationship Management, Strategic Planning, System Designs

Preferred Skills : Machine Learning Operations

Job Posting End Date : 10 / 29 / 2024

J-18808-Ljbffr