The IT Commercial Systems, Data & AI Intern will support Xeris' growing Data, AI, and Business Technology capabilities by helping translate business needs into technology, data, and AI solutions. The role will provide hands-on exposure to business analysis, data products, artificial intelligence, solution evaluation, and emerging technologies.
The intern will work cross-functionally with business and technology teams to identify opportunities, develop requirements, evaluate potential solutions, analyze data, support prototypes and proofs of concept, and help assess the business value of new capabilities. This role is designed to provide broad exposure to how data, AI, and technology can improve decision-making, automate work, and enable new ways of operating across Xeris.
Team dynamics, collaboration, communication, curiosity, and critical thinking are essential elements of the role.
Essential Job Functions
Partner with business stakeholders to understand business problems and help document business requirements, current-state workflows, use cases, success criteria, and evaluation criteria for critical business technology initiatives.
Support technology and platform evaluations by researching potential solutions, comparing capabilities against defined business requirements, and helping develop structured evaluation materials and recommendations.
Help identify, document, and evaluate high-value AI and automation use cases based on business value, feasibility, data readiness, risk, adoption considerations, and implementation complexity.
Support the definition and development of data products by identifying users, required data sources, business rules, metrics, data quality expectations, and desired business outcomes.
Research and evaluate AI platforms, models, agents, applications, and emerging technologies for potential applicability to Xeris business needs.
Support rapid prototypes, pilots, and proofs of concept using approved AI, analytics, automation, and data tools.
Perform exploratory analysis of business data to identify trends, data quality issues, opportunities, and insights that support business decisions.
Assist with data governance activities, including documenting data definitions, metadata, business rules, data lineage, ownership, and data quality requirements.
Map current-state business processes and identify opportunities to simplify, automate, or redesign workflows using data, AI, and technology.
Help define key performance indicators and measurement approaches for pilots, data products, and technology investments to determine whether solutions are delivering expected value.
Support responsible AI and AI governance activities, including use-case documentation, risk assessment, responsible-use considerations, and maintaining inventories of AI initiatives and capabilities.
Apply a product-oriented approach to Data and AI initiatives by helping define users, business problems, desired outcomes, requirements, adoption considerations, and measures of success.
Participate in cross-functional workshops and working sessions with IT and business teams such as Commercial, Medical, Finance, Legal/Compliance, and other functions as appropriate.
Develop clear requirements documents, process maps, evaluation matrices, dashboards, presentations, and other materials that communicate findings to technical and non-technical audiences.
Help create and maintain technical and business documentation, user guides, standards, and operating procedures where appropriate.
At the conclusion of the internship, complete a defined Data or AI capstone project and present the business problem, approach, findings, recommendations, and potential impact to the organization.
Skills and Qualifications
Undergraduate or graduate candidate pursuing a degree in Data Science, Computer Science, Information Systems, Analytics, Artificial Intelligence, Engineering, Business Analytics, or a related field.
Minimum GPA 3.0.
Returning to an academic program at a credentialed institution for at least one semester post-internship.
Strong analytical and problem-solving skills with an interest in the intersection of business, data, AI, and technology.
Ability to break down ambiguous business problems and organize information into clear requirements, analyses, or recommendations.
Basic familiarity with data concepts such as relational data, analytics, visualization, APIs, data pipelines, or data quality.
Familiarity with artificial intelligence, generative AI, large language models, machine learning, or automation concepts is preferred but not required.
Exposure to SQL, Python, Power BI, Snowflake, or similar data and analytics technologies is a plus.
Basic understanding of Agile methodologies and product development lifecycles
Strong written, verbal, and presentation skills.
Curiosity and willingness to learn new technologies and business processes quickly.
Ability to work collaboratively with technical and non-technical stakeholders.
Strong judgment when working with confidential, proprietary, or sensitive information.
Competencies: Curiosity, Structured Problem Solving, Learning Agility, Analytical Thinking, Communication, Teamwork & Collaboration, Attention to Detail, Initiative, Adaptability, Professionalism, and Organization.
Working Conditions
Position may require periodic evening or weekend work, as necessary to fulfill obligations.
Computer use: Up to 90% of the time.
This role is based in Xeris' Chicago office and requires five days per week in the office.
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The anticipated hourly wage for this position is $23.00 - $29.00.
We are committed to offering competitive compensation. Starting pay is determined based on a variety of factors, including the role, job-related knowledge, skills, experience, education, internal equity, market data, and the location of the role, where applicable.
Xeris Pharmaceuticals, Inc. (the "Company") is an equal opportunity employer and does not discriminate based on race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, genetics or any other characteristic protected by law. All qualified candidates are given equal opportunity and the Company's employment selection decisions are based solely on job-related factors. NOTE: This job description is not intended to be all-inclusive. The employee may be required to perform other related duties as needed to meet the ongoing needs of the Company.
The level of the position will be determined based on the selected candidate's qualifications and experience. Final determination of the actual base salary offered depends on several factors, including but not limited to the candidate's skills, experience, education, location, and business needs. Employees are eligible for equity or long-term incentive awards, where applicable. Field Sales role employees are eligible for a quarterly commission structure. Non-Sales role employees are eligible for an annual bonus. The Company also offers a comprehensive benefits package that includes additional elements such as paid time off benefits, various health, vision, and dental insurance options, 401(k) retirement benefits and more for eligible employees. Details about these and other offerings will be provided at the time a conditional offer of employment is made. Candidates are always welcome to inquire about our compensation and benefits package during the interview process. Individuals hired as temporary employees, interns, and preceptors are not eligible for commissions, bonuses, and/or long-term incentive or equity awards. Eligibility for other benefits will be based on plan documents.
Accessibility & Reasonable Accommodations
If, because of a medical condition or disability, you require a reasonable accommodation or assistance to complete any part of the application process, please send an e-mail to recruiting@xerispharma.com and identify the type of accommodation or assistance you are requesting. Please include the job requisition number in your message. Please note if your request is not for this stated purpose, you will not receive a response to your email. Do not include any medical or health information in this email.
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