Genmab

Machine Learning Engineer, Discovery, AI and AI Pr...

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.

The Role

Within the Genmab Data Science & AI Hub, AI technology is more than just a solution, it powers the Research, Development, Commercial, and functional business units that work tirelessly to save lives and bring valuable treatments to patients around the world. We are seeking a highly skilled and innovative Machine Learning (ML) Engineer to join our AI and Analytics Products team to collaborate with the Discovery Research business function. As ML Engineer you will be part of a team of talented engineers helping to develop and implement machine learning and AI solutions. You will work closely with Discovery Research stakeholders to ensure our machine learning initiatives catalyze Genmab’s ability to create, implement, and optimize machine learning models that will directly impact our pipeline and portfolio of medicines.

Specifically in this role, you will be responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, and conducting experiments, validation and monitoring. You will be effectively leading the complete lifecycle management of many machine learning models. Additionally, you will be responsible for leading continuous integration and continuous deployment (CICD) of ML algorithms and products within our cloud network. You will work with highly talented team of data scientists, data to create models, perform statistical analysis, and train and retrain systems to optimize performance. As ideal candidate you will possess strong programming skills, knowledge of data science, and expertise in statistics.

Responsibilities

  • Design, build, test, and deploy machine learning models over the clouds.
  • Work with product owner, data analysts, data scientists to understand large datasets.
  • Preprocess large dataset, structured as well as unstructured and extract features from them.
  • In collaboration with data scientists, train and fine-tune predictive models using the data and analyze their performance to determine which will provide the most accurate results.
  • Deploy the final models to production and monitor their performance and accuracy on regular basis, ensuring traceability of all produced results.
  • Conduct machine learning tests and experiments, validations, model performance and lifecycle management.
  • Stay updated with the latest developments in the field and share with internal/external teams.
  • Lead CI/CD process and establish best practices of ML product deployments over the clouds.
  • Contribute to the MLOps architecture design from deployment perspective, discussion, changes specially over the clouds.
  • Keep abreast of industry trends and advances in machine learning and AI technology and leverage this knowledge to drive innovative solutions.

Requirements

  • Bachelor's or master's degree in computer science, Statistics, or a related field with 3+ years of experience in relevant technical area.
  • Strong programming skills in Python. Other languages such as Java or C++ a bonus.
  • Versioning control tools, Git, Gitlab, CI/CD tools, Dockers and Kubernetes.
  • Experience with MLOps and machine learning frameworks such as TensorFlow, Keras, or PyTorch and other open-source ML frameworks.
  • Experience with ML operations tools such as MLflow or Weights & Biases.
  • Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
  • Excellent problem-solving skills and attention to detail and ability to work independently.
  • Knowledge of data science, machine learning & deep learning models and expertise in statistics.
  • A background within bioinformatics is nice to have.
  • Experience withing pharma/biotech is not a must.
  • You have an entrepreneurial mindset and are motivated by a start-up environment.
  • You have excellent verbal and written skills in English.

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

Genmab is an international biotechnology company with a core purpose guiding its unstoppable team to strive towards improving the lives of patients through innovative and differentiated antibody therapeutics. For more than 20 years, its passionate, innovative and collaborative team has invented next-generation antibody technology platforms and leveraged translational research and data sciences, which has resulted in a proprietary pipeline including bispecific T-cell engagers, next-generation immune checkpoint modulators, effector function enhanced antibodies and antibody-drug conjugates. To help develop and deliver novel antibody therapies to patients, Genmab has formed 20+ strategic partnerships with biotechnology and pharmaceutical companies. 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 locations in Utrecht, the Netherlands, Princeton, New Jersey, U.S. and Tokyo, Japan.

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.

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 fixed-term employment contract.

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