[NJ] Engagement Lead - Analytics

ProcDNA • Princeton, NJ

3d

About The Position

ProcDNA is a global life sciences consulting firm that uses design thinking and cutting-edge technology to develop innovative Commercial Analytics and Technology solutions for its clients. Founded during the pandemic, the company has experienced rapid growth, now employing over 450 people across 9 offices. ProcDNA fosters a dynamic work environment where employees are encouraged to take initiative and contribute to shaping the future of the industry. The company is seeking a Data Scientist to lead advanced analytics and machine learning projects within the pharmaceutical sector. This role requires the ability to translate complex business challenges into actionable analytical strategies, manage projects from inception to completion, engage with clients, mentor team members, and develop scalable internal product offerings.

Requirements

• Master’s degree or higher in a quantitative field with a strong academic record.
• 5-7 years of relevant experience in data science with a focus on advanced analytics and applied ML.
• Strong applied Statistical foundation for building and evaluating models.
• Strong experience with ML and AI modeling concepts and practical application across multiple projects.
• Expertise in SQL and strong fluency with relational datasets.
• Extensive Python or R experience for analysis and modeling.
• Excellent communication skills, verbal and written, with strong client-facing presence.
• Strong problem-solving mindset, detail orientation, and ability to independently manage dynamic, multi stakeholder workstreams.

Responsibilities

• Drive end-to-end data science projects, including problem framing, exploratory data analysis, feature development, and model development and validation, taking lead on approach decisions and tradeoffs.
• Build internal product offerings and reusable accelerators, such as packaged modeling workflows and internal ML and AI products.
• Set and enforce standards for rigor, documentation, and reproducibility across the workstream, ensuring outputs are audit-ready and client-ready.
• Lead client discussions and presentations, translating technical results into clear business wins.
• Partner with data and engineering teams as needed to operationalize outputs, including repeatable pipelines, handoffs, and monitoring considerations.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior