Bioinformatics Data Engineer — Genomics Pipelines

Remote Worker LTD.; United States; Remote; USD 82,000 - 119,000; Full time

Benefits offered by this job

Competitive base salary

Pension scheme

Holiday allowance

Home & remote working

Wellbeing support

Job summary

Our Future Health is seeking a Data Engineer with a strong background in bioinformatics and genetics to build data pipelines supporting the Clinical Research Recruitment Service. You will combine genomics, bioinformatics and modern data engineering to work with large-scale data and contribute to research that improves prevention, detection and treatment.

You will collaborate with scientists, software engineers and product managers to design reusable, scalable production pipelines, applying best

Qualifications

• Experience building robust, scalable data pipelines for large datasets.
• Strong Python development and data wrangling skills.
• Knowledge of genomic data formats (VCF, BGEN) and QC tools.
• Cloud experience (Azure preferred) and distributed computing.
• Familiarity with GA4GH and FAIR data principles.
• Experience in an agile software delivery team.

Responsibilities

• Support reusable data pipelines to identify clinical trial participants.
• Translate data requirements into robust ETL transformations.
• Develop prototypes for complex pipelines using existing workflows.
• Adopt best practices: code reviews, unit tests, clean code.
• Collaborate with scientists, software engineers and product managers.
• Build scalable production pipelines for genomic data.

Skills

Python

Data pipelines

Bioinformatics

Agile

Stakeholder management

Collaboration

Tools

Docker

Kubernetes

Nextflow

WDL/Cromwell

Airflow

Prefect

Dagster

Git/GitHub

Spark

Databricks

Parquet

VCF

BGEN

PLINK

bcftools

QCtools

Job description

Our Future Health is seeking a Data Engineer with a strong background in bioinformatics and genetics to build data pipelines supporting the Clinical Research Recruitment Service. You will combine genomics, bioinformatics and modern data engineering to work with large-scale data and contribute to research that improves prevention, detection and treatment.

You will collaborate with scientists, software engineers and product managers to design reusable, scalable production pipelines, applying best