AI and Data Science Technical Analyst-Manager - Cambridge

Job summary

We are seeking an experienced AI & Data Science Technical Analyst/Manager to lead technical product management functions in a cross-functional pod of Computational Scientists, Data Scientists, and AI/ML Engineers.

This role is pivotal in guiding the development of data and AI products that will revolutionize our data product pipelines.

You will be responsible for defining the product vision, strategy, and roadmap for our AI-driven solutions, translating complex scientific and business challenges into actionable product plans.

Manage the entire product lifecycle, from ideation and scoping to delivery and iteration. Break down complex problems into effective, actionable steps for the technical team.

Lead and collaborate with a team of data scientists, computational scientists, engineers, and MLOps professionals to develop, test, and deploy AI/ML solutions into product teams.

Translate and champion the team's advanced analytics capabilities and results to a broader audience.

Implement and oversee agile methodologies to manage workflow and ensure the timely delivery of high-quality data products, from preparing common data models to deploying production-ready models.

Guide the team in leveraging diverse and large-scale biomedical datasets, including electronic health records (EHRs), clinical trial data, and real-world evidence.

Ensure the adoption of a leading-edge tech stack and foster an environment of continuous learning and improvement.

Responsibilities

• Assist in the definition and communicate a clear product vision and strategic roadmap for AI and data science initiatives, aligning with the broader goals of EDGE, Digital, R&D and business stakeholders.
• Manage the entire product lifecycle, from ideation and scoping to delivery and iteration. Break down complex problems into effective, actionable steps for the technical team.
• Lead and collaborate with a team of data scientists, computational scientists, engineers, and MLOps professionals to develop, test, and deploy AI/ML solutions into product teams.
• Translate and champion the team's advanced analytics capabilities and results to a broader audience.
• Implement and oversee agile methodologies to manage workflow and ensure the timely delivery of high-quality data products, from preparing common data models to deploying production-ready models.
• Guide the team in leveraging diverse and large-scale biomedical datasets, including electronic health records (EHRs), clinical trial data, and real-world evidence.
• Ensure the adoption of a leading-edge tech stack and foster an environment of continuous learning and improvement.

Qualifications

• A degree in a quantitative or technical field such as Computer Science, Engineering, Statistics, or significant experiences in technical/digital industries, preferably with advanced degrees.
• Proven experience in a technical product management role, preferably in an agile environment, with a track record of launching production-level code and data-driven products.
• Strong understanding of the data science and machine learning landscape. You should be familiar with concepts such as supervised/unsupervised learning, deep learning, NLP, and MLOps.
• Experience with healthcare data sources, such as electronic health records (EHRs), clinical trial data, or other biomedical datasets is highly preferred.
• Demonstrated ability to lead cross-functional teams and collaborate effectively.
• Excellent written and verbal communication skills, with a talent for data storytelling and translating complex technical concepts for non-technical audiences.
• A passion for solving complex problems with a desire to make a tangible impact on patient outcomes.

Skills

• Familiarity with data science languages and tools such as Python, R, JIRA, Confluence.
• Knowledge of big data analytics platforms and ML libraries (e.g., Databricks, SageMaker, TensorFlow, PyTorch).
• Experience with data visualization tools like Tableau, Plotly, or Streamlit.
• Experience in the software/digital development and pharmaceutical industries and a solid understanding of the clinical research process.

Job description