Axle - Bioinformatics / Data Scientist
Requirements
• Education. Doctoral degree (PhD) in bioinformatics, computational biology, biostatistics, or a related quantitative field. • Single-cell analysis. Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or comparable platforms. • Programming. Strong programming proficiency in R and Python, together with experience in statistical analysis and data visualization. • Omics workflows. Basic knowledge of proteomics and metabolomics data. • Prior experience analyzing organoid datasets. • Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles. • Experience with high-performance computing environments and version control systems. • Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. • Disclaimer: • The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate. • Accessibility: If you need an accommodation as part of the employment process please contact: [email protected]
Responsibilities
• Multi-omics analysis. Analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from a range of organoid systems and their tissue counterparts. • Experimental design consultation: Collaborate with experimental wet-lab on experimental design to better optimize protocols for knowledge discovery and performance. • Pipeline development. Develop and implement computational pipelines for data processing, quality control, and statistical analysis. • Benchmarking. Integrate SOM-generated data with publicly available datasets in order to benchmark organoid characteristics against normal tissue profiles. • Collaboration and interpretation. Work closely with experimental teams to interpret results and guide protocol optimization. • Dissemination. Contribute to manuscript preparation and present findings at scientific conferences.
Benefits
• 100% Medical, Dental & Vision Coverage for Employees • Paid Time Off and Paid Holidays • 401K match up to 5% • Educational Benefits for Career Growth • Employee Referral Bonus • Healthcare (FSA) • Parking Reimbursement Account (PRK) • Dependent Care Assistant Program (DCAP) • Transportation Reimbursement Account (TRN)
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT