Manager/Senior Manager - Decision Science (1235)

Company Overview:

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.

Job Description:
We are looking for a Manager/Senior 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 incl. digital marketing

Responsibilities will include:

• 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 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.
• Understanding of various datasets – LAAD, XPO, NPA, Promotional etc.
• Understanding of SP / Payer / Market Access
• Ability to communicate well both verbal and written
• Needs to be hands-on across various workstreams

Required skills and experience:

• Overall, 6-10 years of relevant work experience and 2+ years of US 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 exposure to/experience working with large data sets.
• Strong quantitative and analytical skills, including sound knowledge of statistical concepts and predictive modeling/machine learning.
• 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.

Logistics and Location:

• 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.

Pay Transparency Laws

Salary range or hourly pay range for the position

The salary range for this position is $119,500 to $163,875 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location.

The salary range reflected is based on a primary work location of Berkeley Heights, NJ. The actual salary may vary for applicants in a different geographic location.

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