Bioinformatics Engineer - Multi-omics

London remote Until 8/22/2026 First posted April 18, 2025 Last posted April 18, 2025
Job description

About Prima Mente

Prima Mente’s goal is to deeply understand the brain, to protect the brain from neurological disease and enhance the brain in health. We do this by generating our own data, building brain foundation models, and translating discovery to real clinical and research impact. 

Role focus - Multi-omics 

Clearly articulate and interrogate meaningful biological hypotheses for marker and target discovery related to neurological diseases. 

  • Set up and framework experimental hypotheses focussed on available datasets and models, with downstream evaluation criteria to assess performance.

  • Identify and curate public and proprietary datasets across different multi-omic, multi-modal types.

  • QC and data analysis. 

  • Multi-omic bioinformatics pipeline development.

  • Cloud infrastructure.  

  • Feature engineering and dataset preparation for downstream machine learning as well as foundational AI training and application.

  • Work with experimental and machine learning teams to confirm and refine computational findings.

  • Develop and manage specific external research collaborations with academic and industrial partners specific to AD biology.

Expected Growth 

  • In 1 month you will be responsible for your own analysis and experiments on our cloud compute environment, involving creating an ad hoc nextflow or flyte workflow to massively process your data.

  • In 3 months you directly own and have created an optimised analysis or data processing pipeline and generated results fit for patent and publication.  

  • In 6 months you have integrated your research into our AI models.

Why Join Us:

  • Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives.

  • Innovation & Autonomy: Work at the forefront of AI and multi-omics, with the freedom to propose and implement solutions.

  • Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, engineering, clinical operations and biology.

  • Growth Opportunities: Continuous learning and growth opportunities in a rapidly advancing technical field.

Culture Insight 

What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands-on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous.

Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence. 

We arrange our lives so we can work in person as much as possible.

Our Values 

  • Exceptional performance at exceptional pace

    • The solutions we build demand uncompromising quality and rigour.

    • The problems we are solving are grave and present.

  • Inquisitive discovery

    • We embrace curiosity and creativity.

    • Every question is a path to a transformational breakthrough.

  • Radical candour

    • We practice unwavering honesty and transparency in all our challenges and interactions.

  • Purposeful individuality

    • Every individual in our team is celebrated for their identity, uniqueness, and experiences.

    • We are invested in each one’s bespoke personal development.

    • Nurturing individuality will supercharge our collective purpose and spirit.

  • Patient impact at scale

    • We have a steadfast commitment to improve the health and well-being of patients globally.

    • Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact.

Who You Are

You want to redefine what’s possible at the frontier of AI and biology. You have experience uncovering novel biology from multi-omic multi-modal data from Alzheimer’s patients as well as top tier publications and / or patents. 

Ideal experience 

  • Top tier publications.

  • Patent experience.

  • First-hand experience with generating biological insights from biological data (genomics, epigenetics, transcriptomics proteomics, ATAC-Seq). 

  • Operational software engineering skills: the ability to write high-quality code to be the backbone of our software stack. 

  • Experience with end-to-end tools used to process multi-omic data from raw data all the way to analytical outputs. Good working knowledge of workflow managers, including but not limited to NextFlow.

  • Expertise with statistical approaches applied to evaluating biological datasets.

  • Strong working knowledge with cloud computing environments, including but not limited to AWS.

  • Domain knowledge with advanced artificial intelligence approaches and experience applying them to a biological context. 

  • Familiar with data wrangling, analysis, and visualisation libraries using Python (preferable), R or Julia. 

  • Strong data engineering knowledge, including but not limited to experience with Spark, Hadoop, NoSQL. 

Interview Process 

Our intention is to run our interview process end to end within 2 weeks. You will interact with co-founders Ravi and Hannah, as well as every member of the technical team. 

About this role

Summary

Analyze multi-omic data and develop bioinformatics pipelines for neurological disease research.

Job title

Bioinformatics Engineer - Multi-omics

Experience level

3+ years

Industry

biotechnology

Location requirements

Located in London, remote work not allowed.

Salary

Not specified

Management role

No

Skills & keywords

Required skills

biological insightssoftware engineeringmulti-omic dataworkflow managersstatistical approachescloud computingartificial intelligencedata wranglingdata engineering

Preferred skills

top tier publicationspatent experiencePythonRJuliaSparkHadoopNoSQL

Specializations

multi-omicsbioinformaticscloud computingdata analysismachine learning
Locations

Structured locations inferred from the posting.

London, UK

On-site City