Scientist Jobs

About The Position

Requirements

• PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field.
• Proven experience in the analysis of genomic and transcriptomic datasets, particularly from high-throughput sequencing technologies.
• Proficiency in programming (e.g., Python, R) and experience working with standard bioinformatics tools and data repositories.
• Strong foundation in statistical analysis, machine learning, or probabilistic modeling.
• Demonstrated ability to work independently and collaboratively in an interdisciplinary research environment.
• Track record of scientific publications in peer-reviewed journals.

Nice To Haves

• Experience in single-cell or spatial omics
• Familiarity with methods for multi-omics data integration.
• Working knowledge of deep learning, variational inference, or generative modeling techniques is a plus.
• Experience contributing to open-source software or the development of reproducible pipelines.

Responsibilities

• Design and execute computational strategies to analyze multi-omics data, including bulk and single-cell transcriptomics, chromatin accessibility (ATACseq, ChipSeq, Cut&Run/Cut&Tag), DNA methylation, and spatial transcriptomics, in support of studies in aging and rejuvenation.
• Apply and develop bioinformatics tools, statistical models, and machine learning approaches to uncover biological insights.
• Evaluate and synthesize recent scientific literature to inform the design of computational pipelines and improve research strategies.
• Maintain clear, complete, and organized records of all analyses and workflows in reproducible formats (e.g., notebooks, scripts, documentation).
• Present findings in internal lab meetings and cross-functional seminars.
• Contribute to the writing of progress reports.
• Provide guidance and mentorship to students, technicians, and junior scientists, when applicable.