Bioinformatics, Data Scientist

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $105k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Axle Informatics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🧬 Biotechnology

🏥 Healthcare

🔬 Science

Biotechnology • Healthcare • Science

Axle Informatics is a bioscience and information technology company that offers advancements in translational research, health informatics, and data science applications to research centers and healthcare organizations around the globe. With experts in biomedical science, software engineering, and program management, we develop and apply research tools and techniques that empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH) by offering the responsiveness of a small business coupled with the experience, breadth, and depth of a large organization.

📋 Description

• Conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues • Analyze single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics datasets • Collaborate with experimental wet-lab teams on experimental design and protocol optimization • Develop and implement computational pipelines for data processing, quality control, and statistical analysis • Integrate SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles • Work with experimental teams to interpret results and guide protocol optimization • Contribute to manuscript preparation and present findings at scientific conferences

🎯 Requirements

• Doctoral degree (PhD) in bioinformatics, computational biology, biostatistics, or a related quantitative field • Extensive experience with single-cell data analysis, including familiarity with Seurat, Scanpy, or comparable platforms • Strong programming proficiency in R and Python • Experience in statistical analysis and data visualization • Basic knowledge of proteomics and metabolomics data • Prior experience analyzing organoid datasets preferred • Experience with machine learning approaches for biological data preferred • Familiarity with pathway analysis tools preferred • Knowledge of developmental biology principles preferred • Experience with high-performance computing environments preferred • Experience with version control systems preferred

🏖️ 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 Flexible Spending Account (FSA) • Parking Reimbursement Account (PRK) • Dependent Care Assistant Program (DCAP) • Transportation Reimbursement Account (TRN)