Genomics

Genomics Engineer Jobs

2 jobs found

1mo ago

Senior Scientific Data Engineer

Lawrence Berkeley National Laboratory San Francisco Bay Area, CA

San Francisco Bay Area, CA

1mo ago Closed

$139k - $174k/yr Full time Python Senior Data Engineer

This position is no longer accepting applications (closed Jul 12, 2026).

Job Description

Exceptional health benefits, generous time off, and a collaborative culture that values every contributor. This role sits at the Lawrence Berkeley National Laboratory's Joint Genome Institute (JGI), offering strong health coverage, ample paid time off and holidays, and relocation assistance. With a hybrid work schedule eligible, you can balance on site collaboration with flexible work from home while helping advance genomic research and data platforms. The position also provides opportunities to lead major technical initiatives within a supportive, inclusive environment that invests in its teams.

Responsibilities

Convert complex scientific, operational, and user needs into detailed specifications, system designs, and actionable implementation plans for enhancements, integrations, and shared data platforms.
Design, build, deploy, and support core systems, APIs, and workflows for the Laboratory Information Management System ecosystem, data warehouse and data lakehouse, and proposal/project management tools that enable genomic data generation, metadata handling, and laboratory operations.
Lead the resolution of challenging technical issues, drive system improvements, and ensure production platforms are reliable, scalable, interoperable, and high performing.
Promote engineering excellence through reviews, documentation, mentorship, and ongoing refinement of development and operational processes.

Requirements

Bachelor’s degree in Computer Science or a related field, plus a minimum of eight years of professional experience developing, integrating, deploying, and supporting production software applications and data systems that support metadata management, workflow orchestration, data lifecycle operations, and broad user access to scientific and operational data, or an equivalent combination of education and experience.
Hands-on experience with data engineering and event driven technologies such as Airflow, Kafka, or related tools.
Experience with diverse data storage technologies, including relational databases, object storage, and systems that support structured, semi structured, and large scale datasets.
Strong foundations in software and data engineering for large scale production systems, including system design, APIs, testing, concurrency, reliability, scalability, interoperability, and performance optimization.
Proficiency in Python and experience with one or more additional programming languages.
Experience using AI assisted development tools, with demonstrated ability to evaluate and validate generated code for production use.
Proven ability to provide technical leadership in shaping system architecture and direction across cross functional engineering groups.
Excellent communication skills, including the ability to organize and present complex technical information to internal teams and stakeholders.
Demonstrated experience collaborating with stakeholders to understand project goals and translate complex scientific, operational, and user requirements into automated systems, technical specifications, and implementation plans.

Technologies

Python
Airflow
Kafka
Laboratory Information Management System (LMS/LIMS)
Data Warehouse / Data Lakehouse
AI assisted development tools

Additional information

Application timing: Priority consideration for resumes and cover letters by June 22, 2026. Applications accepted until the posting is removed.
Appointment type: Full time, exempt from overtime, monthly paid, two year benefits eligible term appointment with potential extension or conversion to career status based on performance and funding.
Salary: Budgeted $139,440 to $174,312 per year, within the broader range for the role; final offer determined by qualifications and experience.
Background check: Completion of a background check; convictions evaluated for relevance to responsibilities; not an automatic disqualification.
Work modality: Hybrid schedule eligible, located at Lawrence Berkeley National Laboratory in Berkeley, CA; residence within 150 miles preferred; full remote on rare occasions. Real ID or acceptable ID required for site access.
Relocation: Relocation assistance is available.
Work authorization: Applicants must be legally authorized to work in the United States; visa sponsorship is not provided.

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1mo ago

Lead Scientific Data Engineer

Lawrence Berkeley National Laboratory San Francisco Bay Area, CA

San Francisco Bay Area, CA

1mo ago Closed

$159k - $268k/yr Full time Python Apache Airflow Big Data

This position is no longer accepting applications (closed Jun 21, 2026).

Job Description

Join Lawrence Berkeley National Laboratory's Joint Genome Institute in the San Francisco Bay Area on a hybrid schedule. This senior leadership role offers a salary range of USD 158,808 to 267,996 per year and a strong benefits package, including top-tier health and retirement options, a culture that values belonging, a Winter Holiday Shutdown, parental bonding leave, and pet insurance. The position focuses on providing technical leadership for core genomic data systems, data management, job orchestration, and platform integration to enable AI driven scientific discovery.

Benefits

Exceptional health and retirement benefits, including pension or 401K style plans
A culture where you’ll belong, with strong investment in our teams
Winter Holiday Shutdown each year in addition to vacation and sick time
Parental bonding leave for both mothers and fathers
Pet insurance

Responsibilities

Provide senior technical leadership for JGI’s core scientific data and compute platforms by developing roadmaps, data system architectures, and long-term strategy
Lead the design and deployment of production automated systems, APIs, and workflows supporting genomic data movement, metadata management, job orchestration, data access, and large-scale scientific computing
Improve reliability, scalability, observability, interoperability, and maintainability of shared production data systems while ensuring sustainable operations
Collaborate with product managers, scientists, and users to drive cross-team technical alignment and integration decisions addressing complex challenges and shared priorities

Requirements

Bachelor’s Degree in Computer Science or a related field and a minimum of 12 years of professional experience with large-scale scientific data and compute infrastructures, or an equivalent combination of education and experience
Proven experience leading the design, development, integration, and operation of production software and data systems supporting metadata management, workflow orchestration, data lifecycle operations, and broad user data access
Advanced knowledge of data and software engineering fundamentals for data-intensive distributed systems, including system design, concurrency, performance, and testing
Broad experience with databases and data storage technologies, including relational databases, object storage, and systems for managing structured, semi-structured, and large-scale data
Experience with data engineering and event-driven technologies such as Airflow or Kafka
Strong experience using AI coding agents such as Claude Code, Codex, or Cursor, including judgment in reviewing and validating generated software for production quality, security, and maintainability
Proficiency in Python and experience with one or more additional programming languages
Excellent communication skills, including the ability to present complex technical information to diverse audiences
Demonstrated ability to lead through influence in interdisciplinary environments, aligning users, stakeholders, and engineering teams around shared requirements and implementation plans

Technologies

Airflow
Kafka
Claude Code
Codex
Cursor
Python
WDL
Nextflow

About JGI

The Joint Genome Institute (JGI) is a global leader in genome science, helping shape the future of biological discovery through advanced genomic capabilities, expert support, and large-scale, AI-ready data resources. As a DOE Office of Science user facility supported by the Biological and Environmental Research (BER) program, JGI advances BER’s mission to achieve a predictive understanding of complex biological, Earth, and environmental systems in support of the nation’s energy and infrastructure.

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Genomics Engineer Jobs

Senior Scientific Data Engineer

Lead Scientific Data Engineer

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