Bioinformatics

Bioinformatics Developer Jobs

2 jobs found

Today

Sr. Software Engineer, Bioinformatics

Quest Diagnostics West Norriton, PA

West Norriton, PA

Today

Full time Backend Developer Senior API

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Job Description

Quest Diagnostics is hiring a Sr. Software Engineer in Bioinformatics to design, implement, and maintain full stack applications that support genetic data workflows. The role focuses on building data pipelines and RESTful/JSON APIs, deploying cloud applications, and collaborating closely in an agile delivery environment.

Responsibilities

Design, implement, and maintain software applications to support enterprise objectives.
Ensure application outcomes align with user requirements and established performance standards.
Build complex data workflows, pipelines, and RESTful/JSON-based APIs in an enterprise setting.
Deploy and manage applications with an emphasis on scalability and reliability.
Participate in agile practices, including sprint planning, daily stand-ups, and retrospectives.
Collaborate with cross-functional teams to support seamless integration and delivery.
Write automated unit, integration, and end-to-end tests to maintain code quality.
Conduct peer code reviews to uphold development standards.

Required Qualifications

3+ years of relevant experience.
Proficiency with modern software development practices and tools, including CI/CD pipelines, version control, and testing frameworks.
Demonstrated experience designing and orchestrating complex data workflows, pipelines, and RESTful/JSON-based APIs.
Experience with PHP, Laravel, MySQL, REACT.
Familiarity with agile methodologies.
Test-driven development mindset with experience writing tests.
Strong communication skills to work effectively with both technical and non-technical stakeholders.

Preferred Qualifications

Knowledge of the health industry or interest in genetics and bioinformatics.
Experience implementing solutions in the cloud, with AWS preferred.
Experience designing and working with application programming interfaces, including JSON-based RESTful APIs.

Location and Collaboration Expectations

This position is onsite in West Norriton, PA. The role also requires collaboration with teams in both the US and EU, with an expected minimum of 2 hours overlap during business hours.

Technology Focus

PHP
Laravel
MySQL
REACT
RESTful
JSON

Additional Knowledge and Skills

Proficiency in full stack development, including front-end, back-end, and database development.
Strong problem-solving abilities and a commitment to continuous learning.
Demonstrated proficiency and experience in the health care industry or life sciences.
Adaptability to new tools and technologies.

Education

Bachelor’s degree in Computer Science, Engineering, or a related field (required).
Master’s degree in Computer Science, Engineering, or a related field (preferred).

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2mo ago

Senior Bioinformatics Data Engineer

Kaztronix Wilmington, DE

Wilmington, DE

2mo ago Closed

Full time Senior Bioinformatics Data

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

Kaztronix invites a Senior Bioinformatics Data Engineer to drive the modernization of a biomarker data lake on AWS. The role focuses on building and operating production pipelines across oncology clinical studies, leveraging Dagster, dbt, Apache Iceberg on S3, and Redshift Gold to support downstream AI and visualization. The successful candidate will work closely with the lead engineer across the full data stack and will be based onsite in Wilmington, Delaware.

Responsibilities

Design and maintain Dagster orchestrated ingestion pipelines for genomics vendors such as Caris, Predicine, Tempus, Olink, and CellCarta, including IO managers, Iceberg writing paths, and row-level accounting.
Advance dbt workflows from Silver to Gold, emphasizing real-data test coverage, patterns for store failures, and the management of staging, intermediate, and mart models, plus macro consolidation.
Develop clinical data ingestion paths aligned with SDTM and ADaM standards, implement reconciliation logic, and route subject dimensions effectively.
Deliver platform infrastructure components such as FastAPI endpoints, CI/CD pipelines, containerized deployments, observability instrumentation, and Redshift performance tuning.
Extract transformation rules from legacy R and PySpark code and harmonize them with new platform implementations.
Identify repetitive processes and convert them into automated workflows, guardrails, or reusable tooling.
Participate in adversarial design and code reviews, identifying edge cases and advocating for robust patterns.
Collaborate with the lead engineer on design decisions and jointly sustain delivery velocity through paired working sessions and PR reviews.
Maintain reproducibility standards across all work: CI on every PR, automated tests, and avoidance of ad hoc notebook-based production processes.

Requirements

AI native engineering practice: proven experience building systems and workflows around AI coding agents (Claude Code, Cursor, Codex, or equivalent), not only prompting them. You recognize when a repetitive process should become an automated pipeline, implement guardrails for agent output, and construct infrastructure that accelerates future work.
Education: Bachelor's or master's degree in computer science, data engineering, bioinformatics, or a related field.
Experience: 5+ years of professional data engineering with shipped production pipelines on AWS (S3, ECS/Fargate, Redshift or equivalent MPP).
Strong proficiency in Python and SQL with working knowledge of modern data engineering libraries.
Advanced proficiency with dbt and a workflow orchestration tool such as Dagster, Airflow, or Prefect.
Data quality instinct: track records of catching silent failures, questioning data correctness assumptions, and noticing lossy joins or incomplete deliveries.
Solid understanding of lakehouse architecture patterns, ETL processes, and schema design for complex multi-modal datasets.
Ability to handle PHI-adjacent clinical data under contractor policy (background check, compliance training, VPN access).
Willingness to work within legacy codebases (R, PySpark) to extract business rules and validate new implementations.
Excellent communication skills and the ability to operate in an embedded pair model with tight feedback loops.

Technologies

Dagster
dbt
Apache Iceberg
Amazon S3
Redshift
FastAPI
Docker
Amazon ECS
AWS Fargate
Python
SQL
R
PySpark
Airflow
Prefect
CloudFormation
AWS Glue Catalog
CI/CD

Preferred Qualifications

Direct experience with Apache Iceberg, AWS Glue Catalog, or lakehouse table formats.
Comfort reading genomic data such as VAF, HGVS nomenclature, VCFs, CNV/fusion semantics, or rapid adaptability to new scientific domains.
Familiarity with clinical data standards including SDTM, ADaM, and CDISC.
Pharma, clinical research, or life sciences background.
Experience with containerization (Docker/ECS) and infrastructure as code (CloudFormation).
Proficiency in R for interoperability with bioinformatics teams.

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