Bioinformatics / Data Scientist

Remotemid

Data ScientistData

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Quick Summary

Key Responsibilities

Collaborate with experimental wet-lab on experimental design to better optimize protocols for knowledge discovery and performance. Pipeline development.

Technical Tools

Data ScientistData

(ID: 2026-3883)

What We Offer

~3 min read

✓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

✓Flexible Spending Accounts: Healthcare (FSA)

✓Parking Reimbursement Account (PRK)

✓Dependent Care Assistant Program (DCAP)

✓Transportation Reimbursement Account (TRN)

✓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.

✓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.

Location & Eligibility

Where is the job

Worldwide

Fully remote, anywhere in the world

Who can apply

Same as job location

About this job

Pay per year: $105,000–$120,000 a year; 41% below the $190,000 median for Data Scientist jobs on Jobera (792 salaries).
Posted: Today
Employer: has 49 open jobs on Jobera.