Early Career Associate - Thousand Oaks, CA

United States·Thousand Oaksmid

OtherEarly Career

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

Support data analyses using SQL and Python — Databricks exposure is a plus — to help clients improve patient health outcomes Assist in building and testing AI/ML, GenAI,

Technical Tools

OtherEarly Career

Decision Intelligence Associate

Do you want to impact communities and transform patients' lives around the globe?
Are you looking for a consulting opportunity where you can apply analytics, predictive modeling, and AI/ML to solve real business challenges?
Do you enjoy solving complex problems and turning data into meaningful insights?
Is working in a collaborative culture with some of the brightest minds in the data analytics industry a goal?

If you answer yes to any of these questions, read on and learn about Axtria's Full Time Opportunities

Why Axtria?
Axtria is an emerging force in the data analytics industry with corporate headquarters in Berkeley Heights, NJ. We work exclusively with companies in the Life Science industry, helping our clients solve some of their most complex problems. We blend information, analytics, AI, and technology to help organizations gain a competitive edge to improve patient outcomes and drive business growth.

About the Role
This is an entry-level position within our Decision Intelligence (DI) team, based out of our Thousand Oaks office. As a Decision Intelligence Associate, you’ll receive hands-on mentorship from senior team members while building analytics and AI skills, supporting client deliverables, and learning how our Life Science Industry clients turn data into decisions. Prior professional experience is helpful but not required; we are looking for individuals with strong analytical foundations, intellectual curiosity, and a passion for continuous learning. Must be available to work on-site 4 days a week.

Potential Responsibilities may include (but not limited to):

Support data analyses using SQL and Python — Databricks exposure is a plus — to help clients improve patient health outcomes
Assist in building and testing AI/ML, GenAI, and emerging Agentic AI solutions under the guidance of senior team members, including exposure to LLM-based tools and workflows.
Help develop and validate statistical models using foundational techniques such as regression and clustering
Help build Tableau/Power BI dashboards to communicate insights to client stakeholders
Collaborate with offshore teams in India on light coordination tasks (tracking, scheduling) with senior guidance
Stay current on emerging trends in AI and data science, and identify opportunities to apply them in client work.

About You

Education: A Bachelors (Masters are desirable) in Data Science, Computer Science, Business Analytics, Economics, Math, Statistics, or Engineering
Technical Skills: Foundational SQL and Python usage; exposure to Snowflake, Databricks, R, or Excel is a plus
AI Fluency: Experience using GenAI and AI-powered tools to support analytics, problem solving, and decision-making. Familiarity with LLMs, prompt engineering, and emerging Agentic AI concepts is a plus.
Industry Interest: Interest in the Life Sciences industry and how data, analytics, and AI enable commercial decision-making; prior exposure is a plus, not required.
Communication: Good verbal/written communication skills and openness to building client-facing presence
Collaboration: Team player with the ability to collaborate effectively across global teams and diverse stakeholders.
Mindset: Curious, coachable, and eager to grow in a fast-paced, client-facing environment
Eligibility: Must have US work authorization without need of visa sponsorship now or in the future

Life @ Axtria
Axtrians are passionate and thrive in a culture of collaboration and learning. We realize that AI and data expertise are in high demand, and our work has an enormous impact in the Life Science industry and on society. We don't take this lightly, thus constantly challenge ourselves to improve, innovate, and empower others through responsible AI practices. We highly encourage transparency in our nimble organization where we communicate freely without any hierarchical boundaries to share a wealth of knowledge and exciting AI innovations.