MRC Computational Postdoctoral Research Scientist (Dry Laboratory) LMS 2664

Key responsibilities

:Design, plan, and conduct high-quality, independent research aligned with the project aimsCritically analyse, interpret, and present experimental data with scientific rigor and reproducibilityDevelop, refine, and implement experimental methods, protocols, and analytical techniquesStay current with relevant scientific literature and integrate new findings and methodologies into ongoing researchCollaborate effectively with internal lab members and external partners, including participation in interdisciplinary projectsProvide mentorship, training, and guidance to junior researchers and PhD studentsContribute to the academic life of the institute by attending and participating in lab meetings, journal clubs, and seminar programmesPresent research findings at national and international conferences and meetingsPublish results in high-quality, peer-reviewed scientific journalsSupport the smooth running of the laboratory by contributing to shared responsibilities and day-to-day operationsSupport the preparation of research grant applications, including contributing to the development of proposals and gathering preliminary data

Additional information:

These are MRC Postdoctoral Research Scientist positions designed to support postdoctoral training and help establish successful research careers. During the fellowship, we are committed to providing mentorship for career development, including support for communication skills, grant writing, and scientific leadership.

We offer a highly attractive benefits package, including a competitive salary and pension scheme, as well as access to world-class research facilities and training programmes.

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Education / Qualifications / Training required (will be assessed from application form):

Essential:

PhD (or equivalent experience) in a relevant field (, bioinformatics, computational biology, molecular biology, cell biology, biochemistry, developmental biology, genetics)

Previous work experience required(will be assessed from application form and at interview):

Essential:

Proven experience in single-cell omics data analysis and visualisation Proficiency in Python and/or R Experience with statistical analysis, machine learning methods, and high-performance computing

Desirable:

Experience with spatial transcriptomics, 3D genome analysis, or epitranscriptomics Familiarity with multiomics integration techniques

Knowledge and experience(will be assessed from application form and at interview):

Essential:

Strong conceptual understanding of genomics, gene regulation, developmental biology, computational biology approaches Experience in generating high-quality figures for publication Excellent written communication skills in English

Desirable:

First-author publication or pre-print Experience in assembling manuscripts for publication Experience presenting scientific data at national or international conferences

Personal skills / Behaviours / Qualities(will be assessed at the interview):

Essential:

Enthusiastic and motivated, with a genuine interest in scientific discovery and learning Independent research capability, including the ability to manage and drive projects autonomously Collaborative mindset, with the ability to work effectively in a team-oriented research environment Eagerness to learn, particularly in computational and analytical approaches Creativity and problem-solving skills, especially when troubleshooting complex challenges Excellent verbal communication skills in English, with the ability to present ideas clearly and confidently Good interpersonal skills, including the willingness to give and receive help and feedback Commitment to knowledge sharing and mentoring within the group Highly organised and diligent, with strong attention to detail Adaptability and openness to integrating new techniques and collaborating across disciplines

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