Intern, Discovery Data Science (Project: Machine learning and scalable data processing for antibody engineering)
Utrecht - Uppsalalaan 15, Netherlands
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!
Role
We are excited to share that Genmab has an open internship position based in the Discovery Data Science department based in Utrecht. The internship will focus on exploring machine learning methods on large scale data for the design and discovery of antibody targets.
You will work in a multidisciplinary, international team of experienced scientists with deep knowledge of antibody development and machine learning, with the goal of bringing new, groundbreaking antibody therapeutics to the clinic. We leverage modern protein characterization assays, advanced data analysis methods, and state-of-the-art machine learning techniques to help improve our therapeutics. Dry- and wet-lab researchers collaborate towards defining project questions, discussing methodology, designing experiments, assessing results, modelling data, and validating predictions. Projects involve computational sequence- and, structure-based protein and antibody engineering.
Genmab places a high value on new, transformational data-science approaches to enhance our drug discovery and development efforts. As an intern in the Discovery Data Science department, you will make an impact on the development of ground-breaking new medicines to serve cancer patients with unmet medical needs. In addition, as a fully integrated biotech company, Genmab will give you the chance to experience drug development from discovery to translation into the clinic.
Responsibilities
You will conduct exploratory data analysis and statistical analyses.
Depending on the needs of the project you will build and train machine-learning models for antibody design and discovery or experiment with methods, parameters, and datasets.
You will contribute to shared codebases, writing clear and robust code that is reusable and deployable on a larger scale.
You exchange ideas with colleagues and participate in scientific and technical discussions.
You have excellent communication and collaboration skills to productively contribute to large, multidisciplinary projects in a multicultural team, all while valuing positive attitude and well-being in the workplace.
You can visualize complex results, turning highly technical concepts into intuitive explanations that can be presented to a diverse scientific audience.
Requirements
You are currently enrolled in a Master's degree (NL universities only) in the field of computer science, machine learning, artificial intelligence, computational biology, bioinformatics or related fields.
You are prepared to do an internship for a minimum of 6 months.
You code proficiently in Python (pytorch/tensorflow as well as pandas, numpy, seaborn, scikit-learn).
You have a good understanding of statistics and basic machine-learning principles.
You are familiar with version control system such as Git.
You are an enthusiastic, creative, goal orientated, pro-active and out-of-the-box thinker with a strong ability to work independently.
You are a team player with excellent interpersonal and communication skills with great command of English, written and spoken.
Optional: knowledge of cloud computing environments such as Databricks or AWS.
Optional: experience with MLOps platforms, such as MLflow or Weights and Biases.
Optional: domain knowledge regarding proteins, and antibodies in particular.
Optional: proficiency in molecular modelling, protein structure prediction, and computational methods for structural analysis. Experience with software such as Rosetta, PyMOL, or similar tools.
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.
Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X.
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 Job Applicant Privacy Notice (genmab.com).
Please note that if you are applying for a position in the Netherlands, Genmab’s policy for all permanently budgeted hires in NL is initially to offer a fixed-term employment contract for a year, if the employee performs well and if the business conditions do not change, renewal for an indefinite term may be considered after the contract.
Tags: Agile AWS Bioinformatics Biology Computer Science Data analysis Databricks Drug discovery EDA Engineering Git Machine Learning MLFlow MLOps NumPy Pandas Privacy Python PyTorch Scikit-learn Seaborn Statistics TensorFlow
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