Intern : Data & Analytics Specialist
About this opportunity
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
The Position
Internship Overview
We are seeking three enthusiastic and driven Data Analytics & Process Automation Interns to join our Roche Digital Technology team. In this dual-impact role, you will collaborate as a team to design, develop, and implement comprehensive data analytics dashboards enhanced with AI-driven insights, while also analyzing and automating existing business workflows. You will work with large datasets and modern AI capabilities to transform complex data into actionable insights and streamline operational processes that support personalized healthcare decisions.
Key Responsibilities
Collaborate closely with cross-functional teams to analyze dashboard requirements, map existing business processes, and identify automation opportunities.
Analyze and process large volumes of pharmaceutical data using SQL, Python, and advanced data manipulation tools.
Design, build, and deploy interactive data visualizations using tools like Tableau or Power BI.
Integrate AI-assisted analytics and intelligence, such as predictive modeling, AI/NLP features, Large Language Models (LLMs), or Intelligent Document Processing (IDP), to generate automated insights, trend forecasting, and advanced health data analysis.
Design, build, and test automated workflows using scripting (Python, REST APIs) or workflow automation tools (e.g., Power Automate) to reduce manual task overhead.
Perform data cleaning, statistical analysis, and system optimization to ensure high data quality and reliable automated execution.
Document development processes, process maps, and technical architecture, presenting findings and completed projects clearly to stakeholders.
Qualifications & Requirements
Currently pursuing a Bachelor's degree in Computer Science, Data Science, Software Engineering, Statistics, Information Technology, or a related field.
Proficiency in SQL for database querying and data management.
Experience with data visualization tools such as Tableau or Power BI.
Solid programming foundations in Python and familiarity with data libraries (e.g., Pandas, NumPy) or API integrations.
Advantage: Hands-on project experience with artificial intelligence, machine learning models, LLM frameworks (e.g., OpenAI API, LangChain), or process automation tools (e.g., Power Automate, UiPath).
Strong analytical, algorithmic, and problem-solving skills.
Excellent teamwork, communication, and presentation skills.
Benefits
Direct mentorship from experienced IT, data, and digital innovation professionals.
Hands-on experience building both AI-driven analytics dashboards and enterprise automation solutions at Roche Digital Technology.
Opportunity to develop a high-impact professional portfolio spanning AI, data analytics, and software automation.
Who we are
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 68 comparable Intern/Fellow/Postdoc Data & Digital roles across 23 biopharma companies.
Salary context
10 of 68 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 68 comparable roles
+ 15 more countries
Seniority mix
68 of 68 peers have a known seniority level
Therapeutic area mix
0 of 68 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
No peers with a known therapeutic area yet.
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.