Bioinformatics/Data Scientist

Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or similar platforms, is essential.

Strong programming skills in R and Python are required, along with experience in statistical analysis and data visualization.

Knowledge of proteomics and metabolomics data analysis workflows is necessary.

Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles will be considered valuable assets.

Experience with high-performance computing environments and version control systems is desirable.

100% Medical, Dental & Vision Coverage for Employees

Paid Time Off and Paid Holidays

401K match up to 5%

Employee Referral Bonus

Flexible Spending Accounts:

The successful candidate will analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts.

The position will develop and implement computational pipelines for data processing, quality control, and statistical analysis.

A major component of the role involves integrating SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.

The position requires close collaboration with experimental teams to interpret results and guide protocol optimization, as well as contributing to manuscript preparation and presenting findings at scientific conferences.