Prima Mente
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 - Biological Data Infrastructure at Petabyte Scale Key Tasks:
Owning and scaling our data infrastructure by several orders of magnitude to handle > 100 petabyte-scale multi-omic datasets, including data pipelines, distributed data processing, and storage systems
Building a unified feature store for all our ML models and biological data analysis workflows
Efficiently storing and loading petabytes of data for ML bio data
Processing and storing predictions and evaluation metrics for large-scale biological forecasting and analysis models
Implementing data versioning and point-in-time correctness systems for evolving biological datasets
Building observable, debuggable data pipelines that handle the complexity of multi-omic data sources
Expected Growth In 1 month
you will be responsible for analyzing current data infrastructure bottlenecks, implementing initial optimizations to existing pipelines, and beginning work on scaling our feature store infrastructure for ML models.
In 3 months
you'll directly own and have scaled key components of our data processing systems, built prototype streaming pipelines for real-time data ingestion, and contributed to designing our unified feature store architecture.
In 6 months
you'll have implemented high-performance petabyte-scale data infrastructure, established data versioning and point-in-time correctness systems, and delivered measurable improvements in data processing throughput and reliability.
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 state-of-the-art infrastructure solutions.
Exceptional Team:
Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering.
Growth Opportunities:
Continuous learning and growth opportunities in a rapidly advancing technical field.
Who You Are We don’t expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others
4+ years of experience
building data infrastructure or data platforms with demonstrated ability to solve complex distributed systems problems independently
Experience building infrastructure for
large-scale data processing pipelines (both batch and streaming)
using tools like Spark, Kafka, Apache Flink, Apache Beam, and with proprietary solutions like Nebius
Experience
designing and implementing large-scale data storage systems
(feature stores, timeseries DBs) for ML use cases, with strong familiarity with relational databases, data warehouses, object storage, and expertise in DB schema design
Experience with ML infrastructure
and have worked at companies that use ML for core business functions
Experience building
data pipelines for external data sources that are observable, debuggable, and verifiably correct , having dealt with challenges like data versioning, point-in-time correctness, and evolving schemas
Strong distributed systems and infrastructure skills
- comfortable scaling and debugging Kubernetes services, writing Terraform, and working with orchestration tools like Flyte, Airflow, or Temporal
Experience with
cloud platforms
(AWS, GCP, Azure) and
container technologies
Strong software engineering skills
with ability to write easy-to-extend and well-tested code
Excellent communication skills
and experience collaborating within multidisciplinary teams
Comfortable with ambiguity
and a fast-moving environment, with a bias for action
Learn and pick up
new skills quickly
Familiarity with
bioinformatics or biological data handling
Knowledge of
data governance, compliance, and security
standards relevant to healthcare or biotech
Location Based in San Francisco, US or London, UK. We support visa applications.
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.
#J-18808-Ljbffr
Role focus - Biological Data Infrastructure at Petabyte Scale Key Tasks:
Owning and scaling our data infrastructure by several orders of magnitude to handle > 100 petabyte-scale multi-omic datasets, including data pipelines, distributed data processing, and storage systems
Building a unified feature store for all our ML models and biological data analysis workflows
Efficiently storing and loading petabytes of data for ML bio data
Processing and storing predictions and evaluation metrics for large-scale biological forecasting and analysis models
Implementing data versioning and point-in-time correctness systems for evolving biological datasets
Building observable, debuggable data pipelines that handle the complexity of multi-omic data sources
Expected Growth In 1 month
you will be responsible for analyzing current data infrastructure bottlenecks, implementing initial optimizations to existing pipelines, and beginning work on scaling our feature store infrastructure for ML models.
In 3 months
you'll directly own and have scaled key components of our data processing systems, built prototype streaming pipelines for real-time data ingestion, and contributed to designing our unified feature store architecture.
In 6 months
you'll have implemented high-performance petabyte-scale data infrastructure, established data versioning and point-in-time correctness systems, and delivered measurable improvements in data processing throughput and reliability.
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 state-of-the-art infrastructure solutions.
Exceptional Team:
Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering.
Growth Opportunities:
Continuous learning and growth opportunities in a rapidly advancing technical field.
Who You Are We don’t expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others
4+ years of experience
building data infrastructure or data platforms with demonstrated ability to solve complex distributed systems problems independently
Experience building infrastructure for
large-scale data processing pipelines (both batch and streaming)
using tools like Spark, Kafka, Apache Flink, Apache Beam, and with proprietary solutions like Nebius
Experience
designing and implementing large-scale data storage systems
(feature stores, timeseries DBs) for ML use cases, with strong familiarity with relational databases, data warehouses, object storage, and expertise in DB schema design
Experience with ML infrastructure
and have worked at companies that use ML for core business functions
Experience building
data pipelines for external data sources that are observable, debuggable, and verifiably correct , having dealt with challenges like data versioning, point-in-time correctness, and evolving schemas
Strong distributed systems and infrastructure skills
- comfortable scaling and debugging Kubernetes services, writing Terraform, and working with orchestration tools like Flyte, Airflow, or Temporal
Experience with
cloud platforms
(AWS, GCP, Azure) and
container technologies
Strong software engineering skills
with ability to write easy-to-extend and well-tested code
Excellent communication skills
and experience collaborating within multidisciplinary teams
Comfortable with ambiguity
and a fast-moving environment, with a bias for action
Learn and pick up
new skills quickly
Familiarity with
bioinformatics or biological data handling
Knowledge of
data governance, compliance, and security
standards relevant to healthcare or biotech
Location Based in San Francisco, US or London, UK. We support visa applications.
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.
#J-18808-Ljbffr