Hlx Life Sciences
Computational Biologist Opportunity - Biobanks | Berlin or New York
We’re partnering with a cutting‑edge AI‑driven biotech to hire a
Computational Biologist
who will take full ownership of evidence generation from large‑scale population biobanks. This role is central to building the foundation of how biobank data powers discovery and translational decisions across the organisation.
The Role
As a
Computational Biologist , you will be responsible for the end‑to‑end ingestion, integration and analysis of individual‑level datasets within trusted research environments (TREs). You will sit within the Biobank/Evidence pillar (reporting into scientific leadership), collaborating closely with discovery and platform teams to deliver high‑impact biological insights.
This is not a downstream statistical genetics or purely translational analytics role – it requires someone who has truly operated biobank pipelines at scale.
What You’ll Do
Lead ingestion, harmonisation and integration of individual‑level biobank datasets (UK Biobank, FinnGen, MVP, Estonian Biobank, etc.).
Build and maintain scalable pipelines within TREs to enable robust evidence generation.
Perform analyses across disease phenotypes, molecular traits and population‑level signals.
Ensure data quality, reproducibility and documentation across biobank workflows.
Partner with cross‑functional teams to translate insights into research and platform strategies.
Drive continuous improvement of biobank‑side processes and infrastructure.
What We’re Looking For
Hands‑on experience integrating population‑scale biobank datasets
within TREs.
Demonstrated ownership of end‑to‑end ingestion and integration workflows
– not limited to downstream StatsGen modelling.
Experience from
large pharma, major biobank initiatives, or academic environments
where you have built and run biobank‑side pipelines with minimal support.
Ability to thrive in a fast‑paced, high‑autonomy research environment.
Not suitable:
Candidates who have only used biobank data downstream without managing ingestion, integration or secure‑environment workflows.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function
Research
Analyst
Information Technology
#J-18808-Ljbffr
Computational Biologist
who will take full ownership of evidence generation from large‑scale population biobanks. This role is central to building the foundation of how biobank data powers discovery and translational decisions across the organisation.
The Role
As a
Computational Biologist , you will be responsible for the end‑to‑end ingestion, integration and analysis of individual‑level datasets within trusted research environments (TREs). You will sit within the Biobank/Evidence pillar (reporting into scientific leadership), collaborating closely with discovery and platform teams to deliver high‑impact biological insights.
This is not a downstream statistical genetics or purely translational analytics role – it requires someone who has truly operated biobank pipelines at scale.
What You’ll Do
Lead ingestion, harmonisation and integration of individual‑level biobank datasets (UK Biobank, FinnGen, MVP, Estonian Biobank, etc.).
Build and maintain scalable pipelines within TREs to enable robust evidence generation.
Perform analyses across disease phenotypes, molecular traits and population‑level signals.
Ensure data quality, reproducibility and documentation across biobank workflows.
Partner with cross‑functional teams to translate insights into research and platform strategies.
Drive continuous improvement of biobank‑side processes and infrastructure.
What We’re Looking For
Hands‑on experience integrating population‑scale biobank datasets
within TREs.
Demonstrated ownership of end‑to‑end ingestion and integration workflows
– not limited to downstream StatsGen modelling.
Experience from
large pharma, major biobank initiatives, or academic environments
where you have built and run biobank‑side pipelines with minimal support.
Ability to thrive in a fast‑paced, high‑autonomy research environment.
Not suitable:
Candidates who have only used biobank data downstream without managing ingestion, integration or secure‑environment workflows.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function
Research
Analyst
Information Technology
#J-18808-Ljbffr