Computational Biologist

Role: Computational Biologist (Contract) - OMNI TM
Location: South San Francisco
Duration: 6+ Months
Rate: $45 - $55/Hr

The Position
The OMNI Bioinformatics team in the Computational Biology and Translation Pillar of gRED Computational Sciences (gCS) is seeking a passionate computational biologist scientist with strong prior experience in spatial transcriptomics. The successful candidate will work within cross-functional and matrix teams to support discovery of immunology targets and development of therapeutics aimed at treating diseases in the IBD space.

The Opportunity
Project Goal: Develop computational infrastructure and analysis approaches to establish spatial transcriptomics as a tool for target discovery and mechanistic modelling in IBD. Spatial transcriptomics is rapidly becoming a key molecular data modality in clinical settings, with the potential to reveal how pathogenic and homeostatic cellular processes transform the tissue architecture in IBD. The candidate will develop and utilize supervised and unsupervised ML/AI methods to spatially map cell states, identify pathology defined spatial features, and infer cell co-localization. The project will include statistical modeling of the association between inferred spatial features and disease status aiming to inform prioritization of pathogenic cell states and novel therapies, thereby enhancing target identification and prioritization efforts in IBD.

The specific tasks include:
Optimization of ML/AI approaches for spatial mapping of cell-states based on scRNA-seq reference atlases
Utilization and development of computational methods for classification of pathologist-defined features
Analyses of co-localization of cell-states and transcriptional programs with respect to the tissue architecture
Statistical testing the association of spatial spatial features with clinical covariates.

Who You Are
PhD in computational biology, bioinformatics, or related field with 3-5 years of experience. Post-doctoral or industry experience is preferred.
A strong computational background, in-depth knowledge in immunology and have proven experience in single-cell and/or spatial immune profiling.
Experience in analysis of immune mediated inflammatory diseases is a plus.
Demonstrated experience in applying AI/ML methods to large multidimensional datasets.
Proficiency in relevant programming languages (e.g., Python, R) and experience with bioinformatics tools and databases are essential.
Excellent communication and collaboration skills are also required to effectively interact with computational biologists, experimental scientists, and clinicians.
Expertise in immunology is required; expertise in IBD preferred

Industry: BayOne is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class.
This job posting represents the general duties and requirements necessary to perform this position and is not an exhaustive statement of all responsibilities, duties, and skills required. Management reserves the right to revise or alter this job description.