Data Engineer - Bioinformatics
Data Engineer - Bioinformatics
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1 Vacancy
Job Description
Current HHMI Employees click here to apply via your Workday account.
Summary:
: HHMI is investing $500 million over the next 10 years to support AI-driven projects and to embed AI systems throughout every stage of the scientific process in labs across HHMI. The AI initiative will be centered at HHMIs Janelia Research Campus. Janelia has been at the forefront of AI-driven research in biology for more than 15 years. Its forward-thinking structure centralized funding and collaborative culture make it ideally suited to take this bold leap forward. To learn more about the initiative visit here.
Please include a cover letter with your application detailing your qualifications and experience as they relate to this position.
About the role:
Were seeking a skilled Data Engineer to drive scientific innovation through robust data infrastructure.In this role youll design develop and optimize scalable data pipelines and tools for the ingestion transformation and integration of large heterogeneous datasets focused on integration of complex biological sequence datasets from diverse sources. This includes writing production-quality Python code to parse validate and transform sequence data from published research papers public databases and experimental outputs. This role requires both technical excellence in data engineering and the ability to understand biological research contexts to ensure data integrity and scientific validity. Your work will directly support computational research initiatives including machine learning and AI applications. Collaborating closely with multidisciplinary teams of computational and experimental scientists youll help define and implement best practices in data engineering ensuring data quality accessibility and reproducibility. Youll also be responsible for maintaining detailed documentation potentially mentoring junior engineers and automating workflows to streamline the path from raw data to scientific insight.
What we provide:
A competitive compensation package with comprehensive health and welfare benefits.
A supportive team environment that promotes collaboration and knowledge sharing.
The opportunity to engage with world-class researchers software engineers and AI/ML experts contribute to impactful science and be part of a dynamic community committed to advancing humanitys understanding of fundamental scientific questions.
Amenities that enhance work-life balance such as on-site childcare free gyms available on-campus housing social and dining spaces and convenient shuttle bus service to Janelia from the Washington D.C. metro area.
What youll do:
Design and implement scalable robust data pipelines for bioinformatics data using workflow managers (Snakemake Nextflow or similar) that perform data validation and quality control at every pipeline stage through tests and clear data visualization.
Stay up to date with scientific literature to understand data context and processing requirements.
Document data provenance and transformation steps comprehensively.
statistical tools and programming languages (e.g. Python R) to analyze large datasets develop custom functions and extract actionable insights through effective visualization.
Establish and maintain data standards formats workflows and documentation to ensure data quality accessibility and reproducibility across projects.
Collaborate with interdisciplinary teams potentially mentor junior engineers and direct or assist in directing the work of others to meet project goals while advising stakeholders on data strategies and best practices.
What you bring:
Bachelors degree in Computer Science Data Science Statistics Applied Mathematics or a related field with 3 years of experience applying and customizing data mining and data analysis methods and techniques. An equivalent combination of education and relevant experience will be considered.
Experience with data formats such as FASTA FASTQ and annotation files.
Experience with data validation and quality control techniques.
Clear technical documentation and communication skills.
Experience in building scalable data solutions working with big data technologies and ensuring data quality and accessibility.
Expertise in utilizing data visualization libraries and software (e.g. Matplotlib R Jupyter notebooks).
Demonstrated expertise in statistical analysis.
Detail-oriented creative and organized team player with strong communication skills and a collaborative mindset.
Able to effectively manage time prioritize tasks and clearly convey complex data concepts to technical and non-technical audiences.
Physical Requirements:
Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet).
Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis.
Please Note:
This job description sets forth the jobs principal duties responsibilities and requirements; it should not be construed as an exhaustive statement however. Unless they begin with the word may the Essential Duties and Responsibilities described above are essential functions of the job as defined by the Americans with Disabilities Act.
Compensation Range
Data Engineer II: $98039.20 (minimum) - $122549.00 (midpoint) - $159313.70 (maximum)
Data Engineer III: $112629.60 (minimum) - $140787.00 (midpoint) - $183023.10 (maximum)
Pay Type: Salary
HHMIs salary structure is developed based on relevant job market data. HHMI considers a candidates education previous experiences knowledge skills and abilities as well as internal consistency when making job offers. Typically a new hire for this position in this location is compensated between the minimum and the midpoint of the salary range.
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Compensation and Benefits
Our employees are compensated from a total rewards perspective in many ways for their contributions to our mission including competitive pay exceptional health benefits retirement plans time off and a range of recognition and wellness programs. Visit our Benefits at HHMI site to learn more.
HHMI is an Equal Opportunity Employer
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Employment Type
Full-Time
