Intern, Translational Data Science
7 dagen geleden
At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees.
Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so.
Does this inspire you and feel like a fit? Then we would love to have you join us
**Why Genmab**
**The Role**
**TRACE**
**Project background**
CROs working with Genmab provide two main types of data: structured
**sample manifests**
(e.g., spreadsheets of biological samples), and unstructured
**experimental reports**
(typically Word documents). These inputs vary widely in format and content across CROs, species, and study designs, yet all must be reviewed, validated, and harmonized before integration into internal systems such as the Laboratory Information Management System (LIMS).
**TRACE**
**Responsibilities/objectives**
- Develop structured validation logic for sample manifests (e.g., completeness checks, format alignment)
- Extend TRACE to support ingestion of CRO reports, using LLMs to flag missing or inconsistent content and highlight key information for review
- Build a cohesive and user-friendly interface to guide the entire review and QC process
- Document development steps and logic
- Present findings and prototypes to the Bioanalytical Science and Translational Data Science teams
**Requirements**:
- Currently enrolled in a Bachelor's/HBO or Master's in bioinformatics, data science, or a related field, at a Dutch University.
- Available for a minimum of 6 months (up to 12 months).
- Experience with programming in R, shiny and Python for data analysis.
- Experience with natural language processing or Shiny is a plus.
- Demonstrates creativity, strong analytical thinking, organizational skills, a collaborative spirit, and a proactive attitude.
**General Intern Information**
**Internship Duration**:
6-12 months
**Start Date**:
September 1st (or later)
**Location**:
Utrecht, Netherlands
**Schedule**:
Hybrid (at least 3 days in the office, 2 days remote per week)
**Please note**
that you must be an actively enrolled student at a Dutch university throughout the internship, and completion of this internship must be a requirement for fulfilling your degree.
**What’s Next?**
**resume and motivation letter**
**About You**
- You are genuinely passionate about our purpose
- You bring precision and excellence to all that you do
- You believe in our rooted-in-science approach to problem-solving
- You are a generous collaborator who can work in teams with a broad spectrum of backgrounds
- You take pride in enabling the best work of others on the team
- You can grapple with the unknown and be innovative
- You have experience working in a fast-growing, dynamic company (or a strong desire to)
- You work hard and are not afraid to have a little fun while you do so
**Locations**
Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you’re in one of our office spaces or working remotely, we thrive on connecting with each other to innovate.
**About Genmab**
Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab’s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO®) antibody medicines.
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