Axtria - Ingenious Insights

HQ
Berkeley Heights, NJ
2,856 Total Employees
Year Founded: 2010

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Jobs at Axtria - Ingenious Insights

Search the 14 jobs at Axtria - Ingenious Insights

Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
As a Principal Consultant at Axtria, you will design and implement scalable solutions using data warehouse and cloud technologies. You will oversee delivery management and lead client engagements. Responsibilities include ensuring client satisfaction, account management, providing input into solution development, and leading a team of associates.
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Senior Manager/Associate Director position at Axtria's Decision Science practice, responsible for managing consulting projects delivering Real World Data (RWD) Analytics and Commercial Analytics solutions in the Life Sciences and Biopharma domain. Key responsibilities include leading a team of data scientists/consultants, working with clients to deliver analytical solutions, developing analysis plans, and contributing to the development of new solutions and models.
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Axtria is seeking a Manager/Senior Manager for their Decision Science practice to lead consulting projects in Real World Data (RWD) Analytics, Commercial Analytics, Marketing Analytics, and Market Access Analytics solutions. Responsibilities include leading data science teams, working closely with clients, developing analysis plans, and contributing to new solutions and analytical models.
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Seeking a Director/Senior Director of Advanced Analytics for the Life Sciences domain with expertise in commercial analytics. Responsibilities include leading project engagements, customizing analytics solutions, managing projects, collaborating with teams, presenting strategies to clients, and developing new solutions. Requires 10+ years of experience in the field and proficiency in analytic tools like Python, R, SQL, and more.
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Looking for Manager and Senior Manager, Associate Director for Decision Science practice focusing on Real World Data Analytics, Commercial Analytics, and Marketing Analytics in the Life Sciences and Biopharma domain.
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Manager/Senior Manager role in Decision Science practice focusing on Brand Analytics, Real World Data Analytics, Commercial Analytics, Marketing Analytics, and Market Access Analytics solutions in the Life Sciences and Biopharma domain. Responsibilities include leading a team, client management, project delivery, analysis planning, and communication of findings. Required skills include 6-10 years of relevant experience, US local experience in pharma analytics, knowledge of Biopharmaceutical domain, exposure to syndicated data sets, strong analytical and communication skills, expertise in R, Python, and other analytical tools.
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Looking for a Senior Associate/Project Lead with 3 years of experience in pharma analytics, focusing on Brand Analytics, Real World Data (RWD) Analytics, Commercial Analytics, Marketing Analytics, and Market Access Analytics. Responsibilities include conducting data analyses, managing projects, applying statistical models, and contributing to the development of new solutions. Required skills include knowledge of biopharmaceutical domain, experience with syndicated data sets, and expertise in R, Python, and Alteryx.
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Seeking a highly skilled Data Engineer with experience in designing, developing, and maintaining data pipelines in Azure Cloud environments. Responsibilities include implementing scalable data processing solutions, machine learning models, managing Azure DevOps, and ensuring data governance standards.
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Seeking a highly skilled Data Strategy professional with experience in pharmaceuticals and management consulting. Responsibilities include strategic planning, data architecture, advanced analytics, and data governance.
18 Days Ago
Berkeley Heights, NJ, USA
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Principal position in Real World Evidence (RWE) focusing on healthcare databases, evidence generation strategies, pricing/reimbursement, patient reported outcomes, and business development. Responsibilities include aligning economic evaluations, developing solutions for client needs, meeting revenue targets, and implementing projects autonomously under tight timelines.
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Lead cross-functional teams to pilot and implement client solutions focusing on client satisfaction across a solution area and industry verticals. Leverage and customize Axtria's proprietary analytics to client needs, resulting in exceptional client value from every project.
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Looking for a Client Partner to help life sciences companies with consulting expertise and innovative cloud platforms. Responsibilities include building relationships, developing account strategies, growing business, meeting revenue targets, and ensuring delivery quality. Must have a track record of winning new clients and stakeholders.
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Hiring an Account Director to work with life sciences companies, build relationships, create strategies, and drive revenue growth through innovative solutions and client success advocacy.
Artificial Intelligence • Cloud • Machine Learning • Software • Analytics
Design and implement data solutions aligning with the organization's Data AI Strategy. Develop comprehensive data models, maintain data integration workflows, optimize data processing pipelines, collaborate with cross-functional teams, provide technical guidance, implement data governance and security best practices, and communicate effectively with stakeholders.