Project Lead​/Manager - Decision Science

Project Lead/Manager - Decision Science (1226)

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Axtria is a leading global provider of cloud software and data analytics tailored for the Life Sciences industry. Since our inception in 2010, we have pioneered technology-driven solutions to revolutionize the commercialization journey, driving sales growth, and enhancing patient healthcare outcomes. Committed to impacting millions of lives positively, our innovative platforms deploy cutting‑edge Artificial Intelligence and Machine Learning technologies. With a presence in over 30 countries, Axtria is a key player in delivering commercial solutions to the Life Sciences sector, consistently recognized for our growth and technological advancements.

We are looking for a Project Lead/Manager for our Decision Science practice. Success in this position requires managing consulting projects/engagements delivering Brand Analytics, Real World Data (RWD) Analytics, Commercial Analytics, Marketing Analytics, and Market Access Analytics solutions.

Candidates will be expected to have familiarity with the application of analytics in the Life Sciences and Biopharma domain, across Commercial Analytics and RWD Analytics use cases such as:

• Patient analytics using Real World Data (RWD) sources such as claims data, EHR/EMR data, lab/diagnostic testing data, etc.
• Predictive modeling using Real World Data
• Patient and HCP segmentation
• Campaign effectiveness, promotion response modeling, marketing mix optimization
• Marketing analytics including digital marketing

• Directly work with senior client in a highly consultative and responsive manner to deliver high-quality and high-impact analytical solutions to business problems.
• Manage projects ensuring exceptional quality, timely delivery, and client satisfaction.
• Develop detailed analysis plans, tailored to business problems using a problem solving and structured approach.
• Lead discussions with clients, including identifying business problems, ongoing discovery and consensus-building in course of project delivery, and recommendations/deliverable readouts/presentations.
• Understand various datasets – LAAD, XPO, NPA, Promotional etc.
• Understand SP / Payer / Market Access
• Communicate well both verbally and in writing.
• Hands‑on across various work streams.

• Overall 4-8 years of relevant work experience and 2+ years of U.S. local experience in pharma analytics.
• Knowledge of the Biopharmaceutical domain. Prior experience in analytics in therapeutic areas of Oncology, Inflammation, Cardio, and Bone will be preferred.
• Exposure to syndicated data sets including claims, EMR/EHR data and experience working with large data sets.
• Strong quantitative and analytical skills, including sound knowledge of statistical concepts and predictive modeling/ML.
• Demonstrated ability to frame and scope business problems, design solutions, and deliver results.
• Excellent spoken and written communication skills, including superior visualization, storyboarding and presentation skills.
• Ability to communicate actionable analytical findings to a technical or non‑technical audience in clear and concise language.
• Relevant expertise in using analytical tools such as R/Python, Alteryx, Dataiku, etc., and ability to quickly master new analytics tools/software as needed.
• Ability to lead project teams and own project delivery.

• U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
• The position is based out of Berkeley Heights, NJ.

Axtria is an EEO/AA employer M/F/D/V. We offer attractive performance‑based compensation packages including salary and bonus. Comprehensive benefits are available including health insurance, flexible spending accounts, and 401k with company match. Immigration sponsorship will be considered.

Salary range: $83,200 to $129,738 annually. (Based on primary work location of Berkeley Heights, NJ. The actual salary may vary for applicants in a different geographic location.)

Seniority level:
Mid‑Senior level

Employment type:

Full‑time

Job function:
Engineering and Information Technology