Engineer, AI/ML & Analytics Platform Engineering - Genmab : Job Details

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!

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, real-time, in-house 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 cutting-edge 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 Genmab's 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 hands-on 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 build-out. You will champion self-service 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 end-users.

You embody the idea that ‘good platform engineering is rarely ever seen only felt'. You have an automation-first mindset, are security-conscious, and keen on improving the in-house 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 real-time workflows at scale with flexible deployment strategies to accommodate varying use cases (e.g. low-latency 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 self-service systems or platforms using microservices and/or event-based 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 cloud-service ecosystem including AI/ML & Analytics related services (e.g. Sagemaker, etc.)
• Experience implementing IaC (Terraform, OpenTofu, CDK, Pulumi, etc.) + CI/CD for deploying cloud-based 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 multi-GPU 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 large-scale distributed systems (e.g. Ray, Dask, Spark, etc.) and high-performance computing environments (e.g. Slurm, etc.)
• In-depth 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 real-time/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 multi-cloud platform development (e.g. some combination of AWS, GCP, Azure)
• Knowledge of high-performance frameworks for inference and training/fine-tuning (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 full-time 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 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 fixed-term employment contract.