Metric Bio
Join a team of engineers and scientists building the cloud infrastructure that transforms modern biotech R&D. Their platform enables researchers to store, analyze, and collaborate on complex biological data seamlessly, bridging wet‑lab discovery with computational insight to accelerate breakthroughs in drug development, genomics, and synthetic biology.
The team is seeking a
Bioinformatics Engineer
to collaborate directly with customers, migrate and scale their computational workflows, and design robust, reproducible systems that advance the future of data‑driven biology.
You’ll thrive here if you’re a scientifically fluent engineer who bridges experimentation and computation; someone who works independently, communicates clearly, and takes ownership from concept to delivery.
Key Responsibilities
Partner with scientists to understand experimental goals and translate them into scalable, cloud‑based workflows.
Build and maintain reproducible bioinformatics pipelines using
Nextflow ,
Snakemake , or similar frameworks.
Analyze and visualize complex datasets in
Python
and
R , turning results into actionable insights.
Diagnose and resolve workflow, data, and infrastructure issues to ensure reliable performance.
Collaborate with product and engineering teams to improve platform capabilities and streamline bioinformatics tooling.
Rapidly learn and integrate emerging techniques such as
spatial ATAC-seq
or
single‑nucleus RNA‑seq .
Approach problems critically; understanding the biological questions, experimental design, and tradeoffs between methods.
Qualifications
Strong foundation in
statistics ,
linear algebra , and
algorithmic reasoning
with an understanding of bioinformatics methods.
Proven experience building and maintaining
sequencing
or
multi‑omics
data pipelines.
Proficiency in
Python ,
R , and workflow orchestration tools such as
Nextflow
and
Snakemake .
Familiarity with
machine learning
or
LLM‑based
approaches for biological analysis is a plus.
Solid grasp of software engineering practices including testing, documentation, and version control.
Excellent communicator with the ability to interface across scientific and engineering teams.
Curious, adaptable, and eager to learn new computational and biological domains.
If all this sounds like you, I'd love to introduce you to the team directly.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Science
Referrals increase your chances of interviewing at Metric Bio by 2x
#J-18808-Ljbffr
The team is seeking a
Bioinformatics Engineer
to collaborate directly with customers, migrate and scale their computational workflows, and design robust, reproducible systems that advance the future of data‑driven biology.
You’ll thrive here if you’re a scientifically fluent engineer who bridges experimentation and computation; someone who works independently, communicates clearly, and takes ownership from concept to delivery.
Key Responsibilities
Partner with scientists to understand experimental goals and translate them into scalable, cloud‑based workflows.
Build and maintain reproducible bioinformatics pipelines using
Nextflow ,
Snakemake , or similar frameworks.
Analyze and visualize complex datasets in
Python
and
R , turning results into actionable insights.
Diagnose and resolve workflow, data, and infrastructure issues to ensure reliable performance.
Collaborate with product and engineering teams to improve platform capabilities and streamline bioinformatics tooling.
Rapidly learn and integrate emerging techniques such as
spatial ATAC-seq
or
single‑nucleus RNA‑seq .
Approach problems critically; understanding the biological questions, experimental design, and tradeoffs between methods.
Qualifications
Strong foundation in
statistics ,
linear algebra , and
algorithmic reasoning
with an understanding of bioinformatics methods.
Proven experience building and maintaining
sequencing
or
multi‑omics
data pipelines.
Proficiency in
Python ,
R , and workflow orchestration tools such as
Nextflow
and
Snakemake .
Familiarity with
machine learning
or
LLM‑based
approaches for biological analysis is a plus.
Solid grasp of software engineering practices including testing, documentation, and version control.
Excellent communicator with the ability to interface across scientific and engineering teams.
Curious, adaptable, and eager to learn new computational and biological domains.
If all this sounds like you, I'd love to introduce you to the team directly.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Science
Referrals increase your chances of interviewing at Metric Bio by 2x
#J-18808-Ljbffr