Data Science Jobs in Jersey City, NJ

The Payer Engagement Account Director will drive payer opportunities, build relationships with payer accounts, lead meetings, and translate interest into agreements. Requires navigating complex organizations, maintaining pipeline management, and collaborating across functions to support evidence and access requirements.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

As a Decision Analytics Consultant, you'll leverage RWD and RWE analytics to support pharmaceutical clients by generating insights and conducting analyses for evidence generation and HEOR studies.

The Advanced Data Science Manager leads a team of data scientists, develops data science strategies, manages client projects, and drives business development while providing thought leadership and mentoring.

As an Advanced Data Science Consultant, you will develop algorithms, utilize machine learning techniques, collaborate with clients, and mentor junior team members to deliver advanced analytics solutions.

The role involves writing technical blog posts about API concepts, databases, and related technologies while establishing thought leadership in the field.

The Director of Actuarial Services will lead financial engineering for Value-Based Care contracts, manage a team of actuaries, and provide strategic advice to executive leadership.

The IT Audit Senior Manager will lead complex technology audits, analyze data, assess risks and controls, mentor staff, and draft audit reports.

The Program Manager will coordinate multiple projects, provide strategic guidance, monitor program progress, and manage large customer engagements in the Pharma domain.

Lead multiple high-complexity data science and AI programs, coordinating cross-functional teams (Product, Engineering, Data Science) to deliver milestones, improve processes, mentor junior PMs, and drive organizational change and program governance.

The role involves driving product strategy for data infrastructure, leading cross-functional teams, and implementing MLOps practices for data engineering solutions.