英国欧洲分子生物学实验室-欧洲生物信息学研究所（EMBL-EBI）招聘博士后—神经免疫机制的计算建模

英国欧洲分子生物学实验室-欧洲生物信息学研究所（EMBL-EBI）招聘博士后—神经免疫机制的计算建模

Postdoctoral Fellow in computational modelling of NeuroImmune Mechanisms

EMBL-EBI

Date Posted: Posted on 1 July 2025

Location: United Kingdom (UK)

EMBL-EBI

Your role

As a Postdoctoral Fellow on the NeuroImmune Open Targets project, you will develop and apply integrative computational pipelines to dissect immune-cell phenotypes and cell–cell interactions across Alzheimer’s, Parkinson’s, and Amyotrophic lateral sclerosis patient tissues and matched induced pluripotent stem cells models.

Your group

Saez-Rodriguez Research Group in collaboration with Open-Targets

Your supervisor

Julio Saez-Rodriguez

You will

Analyze large-scale single-cell and spatial transcriptomics datasets from human brain samples to identify shared multi-cellular pathological features

Build and apply statistical and machine-learning methods to infer cell-cell signaling networks and causal drivers

Develop pipelines to compare patient-derived data with hiPSC-derived models, identifying recapitulated phenotypes and candidate intervention targets

Write up results for high-impact publications and present at international conferences

Contribute to collaborative grant proposals and supervise junior team members

You have

PhD in a relevant field with evidence of productive computational research

Hands-on experience with single-cell and spatial data analysis workflows

Strong statistical modelling and coding proficiency in R and/or Python

Ability to translate complex computational results into biological insights

A track record of (co)first-author publications and effective science communication

You may also have

Demonstrated experience with single-cell and/or spatial transcriptomics data analysis

Experience with network biology computational tools

Knowledge of immunology, especially microglial and T-cell biology

Background in neurodegenerative disease biology (e.g., AD, PD, ALS) and/or familiarity with polygenic risk score analyses or rare-variant genetics would also be useful

Benefits and Contract Information

Financial incentives: depending on circumstances, monthly family/marriage allowance of £272, monthly child allowance of £328 per child. Generous stipend reviewed yearly, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances

Hybrid working arrangements

Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)

Generous time off: 30 days annual leave per year, in addition to eight bank holidays

Relocation package

Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely)

Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances

Contract duration: This position is a 2 year fixed term contract with possibility for renewal to a maximum of 5 years

Salary: Year 1 Stipend at rate of £3,307 per month after tax (Total package will be dependant on family circumstances)

International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants.

Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities.

Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you.

How to Apply

Please submit before the closing date of 20/07/2025:

1. A tailored cover letter highlighting your fit to the project and pointing to your code repository (e.g., GitHub)

2. Your CV with a list of publications

3. Contact details for three referees

Tagged as: Life Sciences

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