Research Associate
6 months ago
**Principal Duties and Responsibilities**
- Work closely with cross-functional teams to understand analytical needs, independently and collaboratively formulate analysis plan and implement corresponding analytical workflows, and actively participate in discussions with stakeholders for feedback
- Code in Python for image processing and analysis tasks
- Effectively present analysis results in a clear and concise manner to key stakeholders
**Must-Have Qualifications**
Degree requirement
**o PhD in Bioinformatics, Computer Science, Machine Learning, Statistics or Computational Biology, with a record of Publications, plus at least 1 year postgraduate experience, ideally in a pharmaceutical or biotechnology company**
**o Alternatively, you have a PhD in molecular biology, immunology, bioengineering, etc, with a record of Publications, plus at least 1 year postgraduate experience, ideally in a pharmaceutical or biotechnology company, combined with a very strong record of data analysis experience, supported by publication in this area.**
**o Alternatively, you have a Master or Bachelor degree in Bioinformatics, Computer Science, Machine Learning, Statistics or Computational Biology plus at least 3 years of postgraduate experience**
**Experience requirement**:
- Familiar with the statistical principles behind current best practices in high-throughput molecular data analysis.
- Experience in the Python biomedical image analysis ecosystem, including scipy, scikit-image, imageio, xarray, scikit-learn.
- Demonstrated ability to effectively communicate about complex bioinformatics problems to peers, users, and stakeholders.
- Motivated to learn new biology, technology and analytical methods
**Nice-to-Have Expertise**
- Familiarity with deep learning approaches for cell segmentation, feature extraction, and phenotypic analysis
- Familiarity with high-dimensional multiplexed imaging data and associated data/image models
- Familiarity with domain-specific image processing tools, such as cellpose, cellprofiler and stardist
- Familiarity with workflow development tools, such as Snakemake, Nextflow or WDL
- Analysis of large chemical/genetic screening datasets
- Single-cell genomics and trajectory analysis
**Salary**: $50.00-$65.00 per hour
Schedule:
- 8 hour shift
- Day shift
Application question(s):
**Education**:
- Doctoral Degree (preferred)
**Experience**:
- Image: 1 year (preferred)
- PYTHON, SCIPY, SCIKIT-LEARN: 3 years (preferred)
- WORKFLOW, SNAKEMAKE, NEXTFLOW: 3 years (preferred)
- PATHOLOGIST: 3 years (preferred)
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