Microbiologist IV (Genomic Data Engineer)

Education and Experience

Required Skils/Qualifications

• Proficiency with Hadoop ecosystem technologies, including: Hadoop Distributed File System (HDFS), Apache Spark, Apache Hive, Apache Impala,
• Strong experience in data engineering, ETL development, and large-scale data integration.
• Experience with genomic, laboratory, epidemiological, or public health datasets.
• Ability to develop and optimize data validation, transformation, harmonization, and standardization processes.
• Experience ingesting and managing datasets from external genomic repositories such as NCBI GenBank and Sequence Read Archive (SRA).
• Proficiency working with genomic sequence files and associated metadata.
• Experience with version control systems, particularly Git.
• Knowledge of data governance, data quality management, and secure handling of sensitive health-related information.
• Proficiency in one or more programming and scripting languages such as: Python, Scala, Rust, Bash.
• Strong analytical, problem-solving, and technical documentation skills.
• Ability to collaborate effectively with multidisciplinary teams including bioinformaticians, epidemiologists, and laboratory scientists.
• Ability to work on-site and participate in regular team meetings and project updates.

Desirable Skills/Qualifications

• Master's degree or higher in Bioinformatics, Computational Biology, Computer Science, Data Science, Public Health Informatics, or a related discipline.
• Experience supporting pathogen genomics and infectious disease surveillance programs.
• Advanced experience with Spark-based analytics and large-scale distributed computing environments.
• Familiarity with bioinformatics workflows, genomic analysis pipelines, and sequence data management.
• Experience with analytical methods related to outbreak detection and situational awareness.
• Knowledge of public health surveillance systems and laboratory information management systems.
• Experience creating and maintaining data lineage documentation and enterprise data governance frameworks.
• Experience contributing to technical reports, scientific publications, or peer-reviewed research.
• Familiarity with cloud-based data platforms and modern data engineering practices.
• Strong communication skills with the ability to translate scientific and public health requirements into scalable technical solutions.
• Equal Opportunity Statement: Seneca Holdings provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex/gender, sexual orientation, national origin, age, disability, marital status, genetic information and/or predisposing genetic characteristics, victim of domestic violence status, veteran status, or other protected class status. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation and training. The Company also prohibits retaliation against any employee who exercises his or her rights under applicable anti-discrimination laws. Notwithstanding the foregoing, the Company does give hiring preference to Seneca or Native individuals. Veterans with expertise in these areas are highly encouraged to apply.