Senior Scientist, Discovery Data Science - Copenhagen, Danmark - Genmab

Beskrivelse

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.

The role
Genmab is currently seeking a (Senior) Scientist in Discovery Data Science based in Utrecht, the Netherlands or in Copenhagen, Denmark. This is a highly collaborative role between the Data Science team, experimentalists, and academic key opinion leaders.

You will work in a multidisciplinary, international team of world-class scientists with top-tier knowledge of the antibody and oncology field, with the goal of bringing new, groundbreaking antibody therapeutics to the clinic. We leverage a closed loop of state-of-the-art high-throughput assays and machine learning to advance our understanding of cancer and the effect of our molecules. Dry- and wet-lab researchers collaborate towards defining project questions, discussing methodology, designing experiments, assessing results, modeling data and validating predictions. Projects involve computational 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 a (Senior) Scientist in the Discovery Data Science team, you will get the unique opportunity to 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 work closely with data scientists and wet-lab antibody engineers to optimize experimental designs and data-generating assays feeding machine learning models.
• You will train and validate deep learning models, experimenting with diverse architectures, parameters and datasets, to achieve top predictive performance for antibody properties.
• You are granted substantial independence in the execution of individual tasks, formulating next steps, reporting results on a regular basis and meeting deadlines.
• You break down biological questions in smaller tasks, prioritizing the most insightful activities first and refining details later.
• You are well-aware of the biological context of projects and can provide biological interpretations of your results to teams with diverse scientific backgrounds.
• 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 are responsible for the visualization of complex results, turning highly technical concepts into intuitive explanations that can be presented to a diverse scientific audience.
• You report scientific results in patents, publications, and regulatory documents.
  

Requirements

• You hold a PhD in computational biology, machine learning, artificial intelligence, structural biology, bioinformatics, biophysics or related fields.
• You bring either strong Machine Learning or Structural Biology expertise (preferably both):
  • ML: you are familiar with popular deep learning architectures, such as transformers and graph neural networks, and routinely work with PyTorch.
  • Structural biology: you have robust formal training and work experience in tasks such as docking, energy estimation, homology modeling, molecular dynamics, and are familiar with tools such as Rosetta, Bioluminate, MOE, pymol, AlphaFold2, ProteinMPNN.
• You code proficiently in Python.
• You have a solid statistical foundation.
• 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 risk taker and are not afraid of working on highly innovative projects.
• You are a team player with excellent interpersonal and communication skills with great command of English, written and spoken. Dutch or Danish not required.
• You can work 32-40 hours/week, preferably hybrid (2-3 days per week at our offices in Utrecht or Copenhagen).
• To be considered for a Senior role, the following additional requirements apply:
  • You have at least 3 years of academic postdoc and/or industrial experience in training machine learning models on biological datasets, preferably for protein engineering.
  • You published in reputable peer-reviewed journals or conferences.

Nice to have:

• Familiarity with antibody biology.
• Experience with MLOps platforms, such as MLflow, and popular ML frameworks, such as PyTorch Lightning and Ray.
• Working knowledge of cloud computing environments such as AWS or Databricks.
• Experience with next-generation sequencing analysis tools, methods and pipelines.

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.