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Data scientist, antibody design (12-month ftc)

London
Relation
Data scientist
€50,000 a year
Posted: 20 May
Offer description

THE OPPORTUNITY

Relation is offering an outstanding opportunity for a Data Scientist to support computational drug discovery and drug‑ability efforts focused on antibodies. You will work closely with external deep learning‑driven antibody design platforms to critically evaluate generated candidates, extract insights, and integrate learnings into internal discovery strategies.


DAY TO DAY, YOU WILL

* Support computational antibody discovery and drug‑ability efforts across research programmes.
* Work with internal and external teams to evaluate and interpret computationally generated antibody candidates.
* Contribute computational and structural biology expertise to multidisciplinary project teams.
* Help extract insights from sequence, structural, and modelling data to inform discovery decisions.
* Collaborate with machine learning and experimental scientists to support ongoing research activities.
* Contribute to the development and refinement of internal computational discovery strategies and workflows.


PROFESSIONALLY, YOU WILL HAVE

* A PhD in computational biology, structural bioinformatics, computational structural biology, or a related field; or a Master’s degree with equivalent industry experience.
* 0–2 years of experience in biotech, pharma, or a relevant postdoctoral environment.
* Experience with computational approaches for antibody design and development.
* Antibody sequence and repertoire analysis.
* Structural modelling of antibodies and antibody‑antigen complexes.
* Computational protein engineering and affinity optimisation.
* Machine learning and generative modelling for antibody design.
* Developability and biophysical risk assessment.
* Knowledge of Python as a programming language.
* Understanding of the drug discovery process.


Bonus experience

* Exposure to real‑world drug discovery projects
* Experience with additional therapeutic modalities such as small molecules, nucleic acids, or degraders
* Exposure to machine learning.


PERSONALLY, YOU:

* Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams.
* Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work.
* Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect.
* Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams.
* Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes.

Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.

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