Genomics

Genomics Data Jobs

3 jobs found

Today

Bioinformatics/Data Scientist

Axle Frederick, MD

Frederick, MD

Today

$105k - $120k/yr Full time Python Bioinformatics Data Analysis

Apply Now

Job Description

Axle in Frederick, MD (onsite) is seeking a Bioinformatics/Data Scientist to analyze multi-omics data from organoid systems and normal tissues, supporting the NIH SOM Center with a salary range of USD 105,000 - 120,000 per year.

Responsibilities

Analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics from organoid systems and their tissue counterparts.
Develop and implement computational pipelines for data processing, quality control, and statistical analysis.
Integrate SOM generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.
Collaborate with experimental teams to interpret results, guide protocol optimization, and contribute to manuscript preparation and presenting findings at scientific conferences.

Requirements

PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field.
Extensive experience with single-cell data analysis, including familiarity with Seurat, Scanpy, or similar platforms.
Strong programming skills in R and Python, with experience in statistical analysis and data visualization.
Knowledge of proteomics and metabolomics data analysis workflows.

Technologies

Seurat
Scanpy
R
Python

Benefits

Medical, Dental & Vision Coverage for Employees
Paid Time Off and Paid Holidays
401K match up to 5%
Educational Benefits for Career Growth
Employee Referral Bonus
Flexible Spending Accounts: Healthcare (FSA)
Flexible Spending Accounts: Parking Reimbursement Account (PRK)
Flexible Spending Accounts: Dependent Care Assistant Program (DCAP)
Flexible Spending Accounts: Transportation Reimbursement Account (TRN)

Cover Letter Required

Please answer the following questions and submit application at: BIOINFORMATICS/DATA SCIENTIST:

What experience do you have working with large datasets and compute clusters?
Describe your experience building workflows/pipelines and/or using bioinformatics software and tools to analyze data.
What programming languages are you comfortable using for bioinformatics data analysis?
What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.)
What life science disciplines do you have experience in? (e.g., immunology, infectious disease, cancer research, etc.)
Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis.

View full job page →

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

Lawrence Berkeley National Laboratory's Joint Genome Institute is seeking a Senior Scientific Data Engineer to help design and sustain the data platforms that underpin genomic data generation, metadata management, and laboratory operations. This hybrid role in the San Francisco Bay Area offers the opportunity to influence systems that span LMS/LIMS, data warehouse and lakehouse architectures, and project management workflows, with the possibility to lead major technical initiatives across diverse teams.

Responsibilities

Translate intricate scientific, operational, and user needs into concrete specifications, architecture, and implementation plans for system enhancements, integrations, and shared data platforms.
Design, develop, deploy, and support core systems, APIs, and workflows including the Laboratory Information Management System (LMS/LIMS), Data Warehouse/Data Lakehouse, and Proposal/Project Management platforms to enable genomic data generation, metadata management, and laboratory operations.
Lead the resolution of complex technical challenges, drive system improvements, and ensure production platforms are reliable, scalable, interoperable, and high-performing.
Advocate engineering best practices through technical reviews, documentation, mentorship, and ongoing refinement of development and operational processes.

Requirements

A Bachelor’s degree in Computer Science or a related field with a minimum of 8 years of professional experience developing, integrating, deploying, and supporting production software applications and data systems that enable metadata management, workflow orchestration, data lifecycle operations, and broad user access to scientific and operational data.
Experience with data engineering and event-driven technologies such as Airflow or Kafka (or equivalent).
Hands-on experience with relational databases, object storage, and systems supporting structured, semi-structured, and large-scale datasets.
Solid grounding in software and data engineering principles 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 sound judgment to evaluate generated code for production readiness.
Ability to provide technical leadership shaping system architecture and direction across cross-functional engineering teams.
Excellent communication skills, including the ability to present complex technical information to internal teams and stakeholders.
Demonstrated experience collaborating with stakeholders to understand project goals and translate them 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

Benefits

Exceptional health benefits
Generous paid time off, sick time off, and holidays
A culture where you’ll belong, with investment in our teams
Relocation assistance
Hybrid work schedule eligibility

Why join Berkeley Lab?

Strong health benefits
Generous paid time off, sick leave, and holidays
Inclusive culture with support for teams

Additional Information

Application deadline: Priority consideration for applications with resume and cover letter by June 22, 2026; applications accepted until the posting is removed.
Appointment type: Full-time, exempt from overtime pay, monthly paid, two-year term with benefits eligibility, with potential extension or conversion to a Career appointment based on performance, funding, and operational needs.
Salary range: USD 139,440 - 174,312 annually, within the broader job code range; final salary determined by qualifications, experience, and alignment with peers.
Background check: A background check is required; convictions will be evaluated for relevance to responsibilities; a history does not automatically disqualify.
Work modality: Hybrid schedule with on-site work at Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720; must reside within 150 miles; rare cases of full remote work may be considered; Real ID or other acceptable identification required for access.
Relocation assistance: Eligible
Work authorization: Must be legally authorized to work in the United States; Berkeley Lab does not provide visa sponsorship for this position.

View full job page →

2mo ago

Lead Scientific Data Engineer

Lawrence Berkeley National Laboratory San Francisco Bay Area, CA

San Francisco Bay Area, CA

2mo 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 with hybrid work options, a supportive culture, and a competitive compensation package. This role offers a salary range of USD 158,808 to 267,996 per year, strong health and retirement benefits, and a commitment to work-life balance and professional growth.

We are seeking a Lead Scientific Data Engineer to provide senior technical leadership for core genomic data systems, data management, job orchestration, and platform integration that drive AI enabled scientific discovery.

Responsibilities

Provide senior technical leadership for JGI's core scientific data and compute platforms by crafting implementation roadmaps, data system architectures, and long term strategy.
Design and implement production automated systems, APIs, and workflows that enable 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 supporting sustainable operations and delivery.
Collaborate with product managers, scientists, and users to drive cross team alignment and integration decisions that address complex technical 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 that support metadata management, workflow orchestration, data lifecycle operations, and broad user data access.
Advanced knowledge of data and software engineering fundamentals relevant to data intensive distributed systems, including system design, concurrency, performance, and testing.
Wide experience with databases and data storage technologies, including relational databases, object storage, and systems 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 like Claude Code, Codex, or Cursor, with the ability to review and validate generated software for production quality, security, and maintainability.
Proficiency in Python and experience with one or more additional programming languages.
Excellent communication skills, with 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

Benefits

Exceptional health and retirement benefits, including pension or 401K style plans
A belonging culture with strong investment in team wellbeing and growth
Vacation and sick time plus a Winter Holiday Shutdown each year
Parental bonding leave for both mothers and fathers
Pet insurance

View full job page →

Genomics Data Jobs

Bioinformatics/Data Scientist

Senior Scientific Data Engineer

Lead Scientific Data Engineer

Get Genomics Data Jobs alerts