994 Director Lab Systems jobs in Bridgewater,NJ

Associate or bachelor's degree in business, finance, or related discipline.
Minimum 3 years of progressive experience in or resource planning, contracting strategy, or Strategy & Operations, ideally within Commercialization or Medical Affairs.
Strong understanding of financial planning systems (e.g., SAP) and contracts lifecycle management tools (e.g., DocuSign,).
Understanding of Medical Affairs Capabilities Systems (Steeprock, IRMS, iEnvision) is highly valued
Proven success in building and operationalizing scalable processes that integrate strategy, finance, and execution.
Exceptional stakeholder management skills with the ability to influence across functions and levels.
High attention to detail balanced with strategic foresight, able to simplify complexity and ensure alignment.
Strong analytical and communication skills; adept at presenting operational insights to senior leadership.

Grand St Settlement

New York, NY 10048

New York Presbyterian

New York, NY 10012

Grand St Settlement

New York, NY 10132

Genmab

Plainsboro, NJ 08536

MS or PhD in a quantitative discipline (e.g., Data Science, Statistics, Engineering, Economics).
12+ years of experience in advanced analytics or data science.
Demonstrated leadership of in-market advanced analytics teams, driving data-driven decision-making across Commercial and/or Medical Affairs.
Proven track record of translating analytics into measurable business impact.
Strong expertise in data science, marketing analytics, and/or real-world evidence generation.
Fluency with real-world datasets (e.g., claims, EHR, lab data).
Experience with customer and patient journey analytics.
Proficiency in Python, R, and/or SQL; experience with cloud-based data environments.
Experience with commercial data sources (e.g., Rx, claims, payer, formulary, HCP data).
Strong business acumen and ability to influence senior stakeholders.
Excellent communication and storytelling skills, with the ability to translate complex analyses into actionable insights.
Experience working cross-functionally and managing external partners or consultants.
Experience with AI productivity tools.
Ability to operate in a fast-paced, agile environment and lead through ambiguity.