Prima Mentes 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.
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.
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.
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.
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.
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 ones 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.
You want to redefine whats possible at the frontier of AI and biology. You have experience uncovering novel biology from multi-omic multi-modal data from Alzheimers patients as well as top tier publications and / or patents.
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.
You will interact with co-founders Ravi and Hannah, before meeting the technical team across a deep dive on your CV and then a round of technical and presentation challenges.
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