As a Research Scientist, you will leverage your deep scientific knowledge to support and facilitate the organization's research programs and projects. You are expected to apply various scientific principles to drive innovation.Every day you will design and execute rigorous laboratory research, contributing to ongoing studies through meticulous analysis. You will also actively support manuscript preparation and participate in grant writing.To be successful in this role, you will possess proven scientific expertise, a strong track record in experimental execution and analysis. Your ability to plan research, contribute to publications, and assist in securing funding will be paramount.

The Multimodal Imaging Genetics Lab at Barrow Neuro Analytics Center is in search of a talented and motivated computational biologist to join our dynamic team. Our lab employs cutting-edge bioinformatics and machine learning, including deep learning, to understand brain aging and secondary injury mechanisms across cerebrovascular, neurodegenerative, and traumatic brain diseases. As a Bioinformatics Staff Scientist, you will be responsible for conducting and supervising analysis of large- scale, high-dimensional biological data from biobanks and longitudinal cohorts, and developing innovative computational methods to enhance understanding of cerebrovascular and Alzheimer’s disease interactions, and drive development of mechanism-based treatments for dementia. We seek a self-driven, innovative individual with strong analytical and problem-solving abilities, and exceptional communication skills.

Responsibilities:

• Responsible for operational oversight and implementation of funded translational research program(s) in genomics
• Plans and executes bioinformatics analysis on high-throughput genomics (including single cell) and proteomics data, integration and analysis of multi-omics data
• Participates in the development and application of computational algorithms and statistical models for data analysis and interpretation, and development of data analysis pipelines.
• Develops and establishes data analysis pipelines
• Serves as a liaison for the training of technical personnel in the translational program including post-doctoral fellows, graduate and undergraduate students

Required

• Ph.D. in Genetics, Bioinformatics, Computational Biology, Statistical Genetics, or related field
• Demonstrated experience with GWAS data analysis, population genetics, or single-cell genomics
• Strong understanding of complex disease genetics and population structure
• Prior work in complex disease genetics research, including analysis of large cohorts or biobank-scale datasets

Preferred

• Experience with pathway analysis, polygenic risk scores, or Mendelian randomization is a plus
• Publication record in peer-reviewed journals related to human genetics or genomics
• Proficiency in programming with R, Unix/Linux, and/or Python
• Experience with genetic analysis tools (e.g., PLINK, GCTA, METAL)
• Experience with high-performance computing environments
• Working knowledge of machine learning (AI/ML) algorithms and their applications in bioinformatics