Director of Data Science and Bioinformatics
J
JobgetherBioinformatics and Genomics
Remote U.S. positionFull-TimeDirector
Salary178,200 - 222,800 USD per year
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Job Details
- Experience
- At least 10 years of professional experience in Data Science, Bioinformatics, or a closely related technical discipline, including a minimum of 5 years of direct people-management experience.
- Required Skills
- AWSPeople ManagementData scienceMLOps
Requirements
- Master’s degree or Ph.D. in a quantitative technical discipline such as Bioinformatics, Biostatistics, Computer Science, Physics, Applied Mathematics, or a related field.
- At least 10 years of professional experience in Data Science, Bioinformatics, or a closely related technical discipline.
- Minimum of 5 years of direct people-management experience.
- Demonstrated experience architecting AWS cloud infrastructure for data-intensive bioinformatics workloads and next-generation sequencing pipeline execution.
- Strong understanding of bioinformatics, genomic data processing, computational pipelines, and data science methodologies.
- Demonstrated ability to identify technical and organizational capability gaps, establish scalable solutions, and independently drive execution.
- Proven experience developing and delivering computational pipelines that support commercial or production-grade products.
- Strong leadership and talent-development capabilities, with experience building, mentoring, and retaining high-performing technical teams.
- Excellent communication and collaboration skills, with the ability to establish alignment across Research, Engineering, Product Development, Laboratory Operations, and Quality functions.
- Experience working within regulated environments such as CLIA, FDA, or ISO frameworks is preferred.
- Familiarity with MLOps and pipeline technologies such as MLflow, Nextflow, WDL, and Docker is advantageous.
- Advanced knowledge of statistical inference, machine learning, and genomic data processing is preferred.
Responsibilities
- Define and build the Bioinformatics function within the Data Science development organization, identifying technical capability and tooling gaps and establishing a roadmap for scalable genomics-based algorithm development.
- Establish and maintain quality standards for pipelines and algorithms, including technical review processes, validation frameworks, reproducibility requirements, and documentation practices.
- Architect and oversee scalable AWS-based infrastructure supporting data-intensive bioinformatics workloads and reliable deployment of next-generation sequencing algorithms.
- Implement MLOps capabilities and automated validation frameworks that improve the reliability, reproducibility, monitoring, and deployment of computational algorithms into clinical production.
- Partner closely with Research, Product Development, Laboratory Operations, Engineering, and Quality teams to deliver stable, scalable computational pipelines and support successful productization.
- Lead, mentor, recruit, and develop a high-performing team of bioinformaticians and data scientists, establishing clear technical standards, accountability, and operational ownership.
- Build technical depth and organizational capabilities that support expanding product portfolios and increasingly sophisticated genomic data and algorithm requirements.
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