Project Lead - Decision Science (1170)

Posted 8 Days Ago
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Thousand Oaks, CA
Mid level
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
The Role
The Project Lead for Decision Science at Axtria will manage consulting projects focusing on analytics in the Life Sciences sector. Responsibilities include leading client engagements, developing analytical solutions, and leveraging real-world data to deliver insights. The ideal candidate will possess strong analytical skills and experience in pharma analytics, along with the ability to communicate findings effectively.
Summary Generated by Built In

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 Project Lead 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, 4-8 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 Thousand Oaks and the candidate needs to be at the client site 3-5 days per week


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.
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Top Skills

Python
R
The Company
HQ: Berkeley Heights, NJ
2,856 Employees
On-site Workplace
Year Founded: 2010

What We Do

Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.

Since our founding in 2010, technology innovation has been our winning differentiation. We continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMAx™, Axtria SalesIQ™, Axtria InsightsMAx™, and Axtria CustomerIQ™ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations. We help customers in the complete journey from Data to Insights to Operations. With customers in over 75+ countries, Axtria is one of the biggest global commercial solutions providers in the Life Sciences industry. We continue to win industry recognition for growth and are featured in some of the most aspirational lists - Inc. 5000, Deloitte Technology Fast 500™, NJBIZ Fast 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards. Three times Great Place to Work® certified in India 2018-2020 and in 2020 in the USA.

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