Engineer, AI/ML & Analytics Platform Engineering

At Genmab we are dedicated to building extranotordinary futures together by developing antibody products and groundbreaking knockyoursocksoff 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!

At Genmab AI & analytics 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 AI & Analytics Platform Engineering & Standards team is building quickly to meet the business demand of immediate realtime inhouse built technology innovation. Our technology experts tackle exciting challenges in collaborative teams but work in an environment where individual and career development is always valued. Our team members leverage their talents and passion building new and innovative systems creating programs founded in automation in agile frameworks and driving existing and cuttingedge innovation.

We are seeking an experienced AI/ML & Analytics platform engineer who is passionate about data digital and AI. This role is pivotal in securing the efficient and compliant operations of our developer platform ensuring successful value delivery to Genmabs business.

This role is based out of our Princeton or Copenhagen office and requires for you to be on site 60% of the time.

Position Overview:

You are highly technical and a handson individual who will build out the core features and capabilities of our AI/ML & Analytics developer platform. You will solve technical & architectural challenges to deliver a scalable secure and feature robust platform. You will work closely with our cross functional spoke teams to understand current and evolving AI/ML & Analytics needs to align platform and feature buildout. You will champion selfservice usage patterns for end users and accelerate our usage of IaC and GitOps to build and scale these solutions. You will drive continuous improvements to the platform to ease of use and efficiency for endusers.

You embody the idea that good platform engineering is rarely ever seen only felt. You have an automationfirst mindset are securityconscious and keen on improving the inhouse developer experience.

Responsibilities

• Contribute to the build out of the AI/ML & Analytics platform services and tools (across dev test and prod) that accelerate model training inference and deployment within our spoke teams
• Build platform capabilities to support both batch and realtime workflows at scale with flexible deployment strategies to accommodate varying use cases (e.g. lowlatency predictions offline model inference)
• Improve platform performance reduce manual intervention scale compute and increase deployment efficiency.
• Work with the foundational cloud teams to ensure platform operational effectiveness reliability security and efficiency.
• Work with team members to provide technical guidance and implementations for monitoring systems (e.g. registry alerting etc.) and governance frameworks (e.g. regulatory compliance).
• Collaborate with our spoke teams for AI/ML & Analytics system architecture design deployment pipelines and solution scaling.

Qualifications

• Bachelors or Masters in a quantitative subject (e.g. Computer Science Engineering Data Science Mathematics Statistics Operations Research) or a related field with 5 years of experience.
• Experience in building AI/ML & Analytics or related platforms for ML Researchers ML Engineers Data Scientists and Data Analysts
• Experience building scalable selfservice systems or platforms using microservices and/or eventbased services
• Strong knowledge of commonly used AI/ML & Analytics programming languages such as Python Spark SQL or similar with experience in machine learning frameworks like PyTorch or TensorFlow.
• Experience with the AWS cloudservice ecosystem including AI/ML & Analytics related services (e.g. Sagemaker etc.)
• Experience implementing IaC (Terraform OpenTofu CDK Pulumi etc.) CI/CD for deploying cloudbased platform infrastructure at scale
• Knowledge of basic software development tools including VCS (GitHub GitLab etc.) CI/CD (GitHub/Lab Actions Jenkins etc.) JIRA
• Knowledge of containerization (e.g. Docker Podman etc.) and orchestration tools (e.g. Kubernetes Rancher etc.)
• Experience with large scale CPU GPU and/or multiGPU infrastructure (bonus for CUDA fundamentals)
• Knowledge of fundamental ops capabilities such as registries tracking observability and monitoring.
• Experience analyzing and improving system performance and reducing costs.
• Strong communication skills and ability to engage with stakeholders effectively.

Bonus Qualifications:

• Prior experience working within the pharma/biotech domain
• Proficiency in at least one or more strongly typed programming language such as C/C Java Go Rust or similar with associated OO or functional design principals.
• Experience with largescale distributed systems (e.g. Ray Dask Spark etc.) and highperformance computing environments (e.g. Slurm etc.)
• Indepth knowledge of data platforms (e.g. Databricks Snowflake or Lake Formation) and tools (e.g. dbt) and their underlying technologies (e.g. Delta Iceberg Hudi Spark).
• Prior work building and using realtime/streaming infrastructure (e.g. Kafka Spark Streaming).
• Experience with GitOps style tools for building and enabling developer platforms (e.g. ArgoCD Crossplane etc.)
• Experience with multicloud platform development (e.g. some combination of AWS GCP Azure)
• Knowledge of highperformance frameworks for inference and training/finetuning (e.g. onnxRT tensorRT Triton etc.) or resource intensive GenAI.

For US based candidates the proposed salary band for this position is as follows:

The actual salary offer will carefully consider a wide range of factors including your skills qualifications experience and location. Also certain positions are eligible for additional forms of compensation such as bonuses.

Regular fulltime U.S. employees are eligible to enroll in Genmab benefits. Our benefits package is crafted to help employees feel supported and cared for in all aspects of life physical financial social and emotional.

About You

• You are genuinely passionate about our purpose

• You bring precision and excellence to all that you do

• You believe in our rootedinscience approach to problemsolving

• 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 fastgrowing 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 worklife balance. Our offices are crafted as open communitybased spaces that work to connect employees while being immersed in our powerful laboratories. Whether youre 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 hardworking innovative and collaborative team has invented nextgeneration antibody technology platforms and harnessed translational quantitative and data sciences resulting in a proprietary pipeline including bispecific Tcell engagers antibodydrug conjugates nextgeneration immune checkpoint modulators and effector functionenhanced antibodies. By 2030 Genmabs vision is to transform the lives of people with cancer and other serious diseases with KnockYourSocksOff (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 and follow us on LinkedIn and X.

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Please note that if you are applying for a position in the Netherlands Genmabs policy for all permanently budgeted hires in NL is initially to offer a fixedterm 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 fixedterm employment contract.