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Senior Project Lead - Decision Science Practice

axtria - ingenious insights • United State
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Lead consulting projects delivering analytics solutions. Manage teams and deliver results. Strong analytical and communication skills required.

Key Highlights
Manage consulting projects delivering analytics solutions
Lead project teams and own project delivery
Deliver results and communicate actionable findings
Technical Skills Required
R Python Alteryx Dataiku Predictive modeling Machine learning Statistical concepts
Benefits & Perks
Attractive performance-based compensation package
Comprehensive benefits including health insurance and 401k
Flexible work arrangement (3-5 days per week at client site)
Immigration sponsorship considered
Pay transparency

Job Description


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:

  • 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


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.


Pay Transparency Laws

Salary range or hourly pay range for the position

The salary range for this position is $83,200 to $129,738 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 Thousand Oaks, CA. The actual salary may vary for applicants in a different geographic location.


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