or apply directly on Isomorphic Labs's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days Isomorphic Labs's roles stay open a median of 32 days
- Reposted
- No
- Salary listed
- No 0% of Isomorphic Labs's roles list one
- Ghost-job risk at Isomorphic Labs
- high 13 stale, 2 reposted of 32 open
- Hiring momentum
- 45 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Isomorphic Labs's own greenhouse board since 2026-08-03. Full hiring picture for Isomorphic Labs.
About this role
As a Bioinformatics Engineer at Isomorphic Labs, you will be responsible for developing and operating large-scale bioinformatics pipelines for high-throughput data analysis. Your role will involve harmonizing complex biological datasets, collaborating with interdisciplinary teams, and ensuring that machine learning models are trained on high-quality, standardized data. You will also provide documentation and training on data resources to support the organization’s drug discovery efforts.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Isomorphic Labs as an employer.
What you need
- Proven experience with the large-scale processing of raw bioinformatics data (e.g., FASTQ, BAM, mzXML)
- A demonstrable track record of delivering high-quality bioinformatics outputs across varied modalities (e.g., genomics, proteomics, functional genomics, systems biology, single cell)
- Experience delivering bioinformatics solutions directly to research teams, scientific communities, or industry projects, with a strong focus on user enablement
- Experience writing production-grade code in Python and developing automated, scalable bioinformatics pipelines
- PhD or MSc in Bioinformatics, Computational Biology, or a related field, or equivalent practical experience in a biopharmaceutical or research environment
Nice to have
- Experience with domain-specific workflow systems (e.g., Nextflow) for scaling high-throughput pipeline execution
- Familiarity with general-purpose data orchestration and processing frameworks (e.g., Dagster, Apache Beam) for integrating research pipelines into a production platform
- Familiarity with building and maintaining bioinformatics infrastructure on Google Cloud Platform (GCP)
- Familiarity with modern, high-performance DataFrame libraries (e.g., Polars), and relational data modeling and analysis (SQL)
- Exposure to machine learning concepts and the specific data requirements for training ML models
Worth weighing
- Hybrid working model requires in-office presence 3 days a week
- Focus on collaboration and interdisciplinary work may require adaptability to different team dynamics
- No specific salary or benefits mentioned in the posting
Summarised from Isomorphic Labs's posting. Read the full original.
Listed by Isomorphic Labs on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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