Principal Computational Scientist - Discovery Biology N & I; Billerica MA

Work Your Magic with us! Start your next chapter and join EMD Serono.

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet.

That's why we are looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US.

We are seeking an experienced computational biologist to drive translational target discovery and disease understanding in neuroscience and immunology, with a strong focus on functional genomics and human disease biology. This role will connect human genetics and patient‑derived multi‑omics data with experimental model systems and predictive disease modeling to support target identification, validation, and prioritization across the discovery pipeline.

As a Principal Scientist, Computational Biology – Functional Genomics within the Research Unit Neuroscience & Immunology (N&I), you will work at the interface of human genetics, computational biology, functional genomics, and translation, in close collaboration with bench scientists, disease area biologists, computational genetics colleagues, and cross‑functional drug discovery teams. You will interpret genetic findings in biological context, generate mechanistic hypotheses, prioritize targets, and help guide the design and interpretation of perturbation‑based experiments in disease‑relevant systems.

A central part of the role is to help connect human disease biology to experimental validation and back again
. You will translate human genetics and patient‑derived multi‑omics into testable functional hypotheses, help identify relevant preclinical model systems, and integrate perturbation and omics data from those models back with human datasets to assess translational relevance, refine disease mechanisms, and strengthen confidence in downstream clinical success.

You will integrate diverse data types — including human genetics, transcriptomics, proteomics, imaging, perturbation datasets, and single‑cell or spatial omics where relevant — to uncover disease mechanisms and build scalable computational approaches for target validation and prioritization. You will contribute to predictive models of disease biology and perturbation response using systems biology, network analysis, and AI‑enabled methods, with applications in disease modeling, patient stratification, disease endotyping, and therapeutic hypothesis prioritization.

In partnership with cross‑functional teams, you will also help integrate evidence on translatability, safety and toxicity risk, druggability, and modality considerations to support portfolio decisions.

• PhD in Computational Biology, Bioinformatics, Systems Biology, Biophysics, Data Science, or a related quantitative discipline, or in Biology, Medicine, Neuroscience, Immunology, or a related life science field with substantial specialization in computational biology
• Significant postdoctoral and/or industry experience, including relevant experience in pharma or biotech drug discovery

• Strong experience in computational biology applied to target discovery, functional genomics, translational biology, or disease modeling
• Experience interpreting human genetics and…