(Associate) Director of Bioinformatics Engineering

(Associate) Director of Bioinformatics Engineering

• Company Address: 100 Beaver Street Suite 307, Waltham, MA 02453 United States

About Triveni Bio

Triveni Bio is a biotech company pioneering a genetics-informed precision medicine approach to develop functional antibodies for the treatment of I&I disorders.

Job Description

We are seeking an experienced and proactive (Associate) Director of Bioinformatics Engineering to spearhead our engineering efforts in building and maintaining robust data analysis pipelines. This role is central to our efforts in integrating human genetics, multi-omics data analysis with practical applications in biology and clinical settings. The ideal candidate will possess a deep understanding of bioinformatics, systems engineering, data science, and human genetics, coupled with a proven track record of effective team collaboration across multiple scientific disciplines. Please note that this is an individual contributor position, and the successful candidate will be expected to perform hands-on analysis and pipeline development.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines for the analysis of large-scale omics datasets, including genomics, proteomics, metabolomics, and human genetics data.
• Engineer and optimize computational frameworks to support the data needs of internal biology, protein engineering, and clinical teams, focusing particularly on genetic data integration.
• Lead and oversee bioinformatics/data scientist consultants in the development of computational tools and algorithms for the processing and analysis of complex biological data, with a focus on human genetics.
• Interface directly with biology, protein engineering, and clinical teams to translate data insights into actionable clinical and therapeutic interventions, leveraging insights from human genetics.
• Oversee the integration and customization of data analysis platforms to fit the specific needs of different research and clinical projects, ensuring that genetic data is effectively integrated.
• Stay at the forefront of developments in bioinformatics, pipeline architecture, omics technologies, and human genetics to ensure the adoption of cutting-edge practices within the team.

Qualifications:

• Ph.D. (or equal work experience) in Bioinformatics, Computational Biology, Computer Science, or a related field with a strong emphasis on data engineering, bioinformatics pipeline development, and human genetics.
• Advanced programming skills in Python, R, and/or other relevant languages; experience with software development best practices and version control systems.
• Demonstrated expertise in the architecture and deployment of high-throughput data processing pipelines and the integration of multiple types of omics data, including extensive experience with genetic data.
• Strong collaborative and communication skills, with the ability to engage effectively with multidisciplinary teams and stakeholders at all levels.
• Experience in the application of machine learning techniques to large biological datasets, with a particular focus on genetic data, is highly desirable.
• Experience in managing bioinformatics or computational biology projects, preferably within a biotechnology or pharmaceutical setting.

This is a unique opportunity for a driven leader passionate about advancing the integration of omics technologies and human genetics into real-world biological and clinical applications. If you are ready to take on a pivotal individual contributor role at the intersection of bioinformatics and applied science, we encourage you to apply for this dynamic and impactful position.