2026 Summer Internship

AxtriaBerkeley Heights, NJ
1d$25 - $25Onsite

About The Position

Do you want to learn how AI and analytics are transforming healthcare and improving patient outcomes? Are you curious about applying data science and emerging AI technologies to solve real business problems? Does working alongside some of the brightest minds in Life Sciences analytics while building skills for your future career appeal to you? Are you ready for a summer experience that combines meaningful work, professional growth, and fun? If you answer yes to any of these questions, read on and learn about Axtria's 2026 Summer Internship 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. What's in it for you? Over the course of your internship, you'll work on real projects, advance your technical and analytical skills, and gain insight into the Life Science industry. As part of our 2026 Intern Cohort, you'll have the opportunity to work with other Axtrians, connect with associates who were recently in your shoes, and alumni from previous intern cohorts. You'll be challenged to grow personally and professionally while bonding with an exceptional peer group. We take the work seriously, but we also make sure you have some fun along the way. P roject assignments may focus on direct client work, business development initiatives (including proof-of-concept development for prospective clients), or internal infrastructure projects where we're implementing AI solutions to enhance our own capabilities. This is a paid internship. The hourly wage will be $25/hour. Previous Intern Projects (not an all-inclusive list) Researched, compiled, and sanitized historical cancer rates (by gender, age, stage of diagnosis, and subtype) with the intent to create a predictive analytics tool. Python was used to create a dashboard, so the data was more easily understandable. Built a multi-faceted data analysis tool in Excel, allowing a user to modify their set of inputs. Allowing users to receive comprehensive data and financial analysis in a matter of seconds. Organized comprehensive sales target data to analyze forecasting goals. This allowed the client team to recommend more accurate incentive pay for sales reps when attaining their sales goals. Created interactive dashboard for different time series models to forecast drug quantities. Helped client team segment and target sales territories for two vaccine products, using various metrics related to claims, demographics, patients, dosage sales, and brand loyalty. As we continue expanding our AI capabilities, future intern projects will increasingly incorporate AI and machine learning techniques alongside traditional analytics approaches. About You Must not need visa to work in the United States (now or in the future) Rising senior (graduating between December 2026 and June 2027)

Requirements

  • Must not need visa to work in the United States (now or in the future)
  • Rising senior (graduating between December 2026 and June 2027)
  • Strong Excel skills required
  • Team player who enjoys collaboration with the primary goal of "getting it done"
  • Time management skills, successfully managing a rigorous academic schedule with extracurricular activities
  • Exceptional interpersonal, relationship building and networking skills
  • Excellent written and verbal communication and presentation skills
  • Problem-solving mindset and adaptability—comfortable with the dynamic nature of a consulting environment where project priorities can shift based on client needs

Nice To Haves

  • Preference given to those studying Data or Business Analytics, Engineering, Bioinformatics, Mathematics, Statistics, Computer Science, Economics, or related quantitative and Life Science fields.
  • Python experience strongly preferred; exposure to SQL or R a plus
  • Familiarity with data visualization tools (Tableau, Power BI) desirable
  • Interest in AI/ML applications: Curiosity about how artificial intelligence and machine learning solve business problems. Coursework or projects involving AI/ML a plus but not required.

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What This Job Offers

Career Level

Intern

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

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