Intern, Data Scientist, Commerical Data Science at Genmab in Princeton, New Jersey

Job Description:

At Genmab, we're committed to building extra(not)ordinary futures together, by developing antibody products and pioneering, knock-your-socks-off therapies that change the lives of patients and the future of cancer treatment and serious diseases. From our people who are caring, candid, and impact-driven to our business, which is innovative and rooted in science, we believe that being proudly unique, determined to be our best, and authentic is essential to fulfilling our purpose.

Summer Internship: Generative AI Product Development and Data Science

About Us:

At Genmab, AI technology is more than just a solution, it powers the R&D, Commercial, and functional business units that work tirelessly to save lives and bring valuable treatments to patients around the world. The new data science team, AI and Analytics Products, focusing on cutting-edge solutions in data analytics, machine learning, and artificial intelligence. Our team is at the forefront of developing and deploying large language models (LLMs) to solve real-world problems and deliver innovative products and services across various industries.

Position Overview:

This summer, embark on a rewarding internship journey with our Data Science and AI Products team. Engage in high-impact, enterprise-level projects in Generative AI. You will have the chance to develop prototypes using ChatGPT and the OpenAI API, and sophisticated dashboards using Snowflake and Tableau. As a member of the Enterprise GenAI team, you will learn about data science, data engineering, and Generative AI product development, gaining valuable experience in these cutting-edge fields.

Your role will involve enhancing data presentation, ensuring data quality, and providing support to the Data Science & AI team. Collaboration with various teams will offer you insights into effective teamwork and stakeholder engagement. Additionally, you will contribute to the development and maintenance of data science products, spanning areas from machine learning and Generative AI to programming in Python or JavaScript. Your internship will culminate in a comprehensive final presentation to the GenAI Products team.

This internship represents a significant step towards a career in technology. It promises hands-on experience, immersive learning, and a chance to contribute to meaningful projects. If you're passionate about technology and ready to demonstrate your skills, this is the perfect opportunity to leave your mark. Join us and help create innovative solutions.

Responsibilities:

Data Visualization and Insight Generation: Interns will create and implement visualizations to effectively display our data and reveal actionable insights. They will analyze data, report findings, and identify key metrics to introduce new perspectives on our business processes.

Innovative GenAI Solutions: Interns will formulate ChatGPT prompts for various tasks including document creation, summarization, and detailed data analysis. They will also develop Generative AI prototype applications using OpenAI API,

Qualifications:

Candidates should possess the following qualifications and commitments:

Academic Background: Pursuing a post-graduate or undergraduate degree in engineering, mathematics, computer science, or operations research.

Internship Duration: Able to commit to an 8-12 week internship starting Summer 2024.

Programming Proficiency: Candidates must be proficient in either Python or JavaScript/Node.js to support full-stack development and meet the technical demands of our projects. Knowledge of development environments like VSCode and experience with web development frameworks like Streamlit, Gradio, flask and understanding of cloud computing services is advantageous.

Data Science and Engineering Support: Candidates should have experience in data visualization, working with multiple datasets, cleaning and improving data sets and a willingness to learn about dataset QC processes and support GenAI Solutions.

AI and ML Technologies: Candidates should understand Generative AI technologies such as foundation models, large language models (LLMs), diffusion models, retrieval-augmented generation (RAG), LangChain, LlamaIndex, and vector databases, as well as AI technologies like natural language processing (NLP), computer vision, and sentiment analysis.

Collaborative Teamwork: Interns must work effectively within diverse teams, including with data scientists and product managers.

Adaptability and Learning: Interns must show eagerness to learn, adapt to new challenges, and step outside of their comfort zones.

Communication: Interns must possess strong communication skills to report findings and interact with stakeholders.

Working Style: Capability to work independently, with a strong ability to think critically.

Outputs:

Strategic Contributions: Interns will design visualizations, generate insights, and develop GenAI-driven prototypes.

Project Delivery: Interns will prepare and deliver a final presentation to the GenAI Products group to showcase their contributions.

About You

• You are passionate about our purpose and genuinely care about our mission to transform the lives of patients through innovative cancer treatment


• You bring rigor and excellence to all that you do. You are a fierce believer in our rooted-in-science approach to problem-solving


• You are a generous collaborator who can work in teams with diverse backgrounds


• You are determined to do and be your best and take pride in enabling the best work of others on the team


• You are not afraid to 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 leverages the effectiveness of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are designed as open, community-based spaces that work to connect employees while being immersed in our state-of-the-art laboratories. Whether you're in one of our collaboratively designed office spaces or working remotely, we thrive on connecting with each other to innovate.

About Genmab

Founded in 1999 in Copenhagen, Denmark, Genmab is an innovative biotech company that has become a leader in antibody biology and innovation. Our product pipeline and next-generation antibody technologies are the result of our strong company culture, a deep passion for innovation, and desire to transform cancer treatment and serious diseases.

When you work with us, you'll be part of a warm, fun, dynamic community, and team up with some of the best, most authentic individuals in locations around the world, who care deeply and share in a relentless drive to innovate and create transformational medicines. People who are candid, impact-driven, and a little unconventional; who seek out and embrace the opportunity to build new and bold futures within a rapidly growing and innovative biotech company; who bring their full selves to work and show up for each other - rolling up their sleeves to get the job done. This translates into a place where you can be authentically you; are empowered to innovate, build solutions, and execute; feel cared for and supported in growth; and are a critical part of changing the lives of patients around the world through transformative cancer treatment.

Our commitment to diversity, equity, and inclusion

We are committed to fostering workplace diversity at all levels of the company and we believe it is essential for our continued success. No applicant shall be discriminated against or treated unfairly because of their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, or genetic information. Learn more about our commitments on our website .

Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website https://www.genmab.com/privacy .