Research Assistant
Research Assistant supporting the diffUSE Project by maintaining bioinformatic pipelines, curating structural biology datasets (X-ray, cryo-EM, ensembles), running validation checks, and assisting with data deposition and publication materials. Requires BS/MS in bioinformatics or related field, Python proficiency, and strong attention to detail.
About the job
Key Responsibilities
- Maintain and run bioinformatic pipelines for structural data processing, curation, and quality control.
- Support development and benchmarking of validation metrics against experimental datasets.
- Assist with data deposition, formatting, and documentation to meet community data standards.
- Help prepare datasets, figures, and summaries for publications, reports, and presentations.
- Coordinate with Scientists and engineers on routine data management tasks and troubleshooting.
Required Skills and Qualifications
- BS or MS in bioinformatics, structural biology, computational biology, or a related field.
- Working proficiency in Python and familiarity with structural file formats (PDB, mmCIF, mtz).
- Strong organizational skills and close attention to detail in data handling.
- Comfortable working across computational and experimental teams in a research setting.
Preferred Qualifications
- Exposure to crystallography or cryo-EM data processing.
- Familiarity with PDB, EMDB, or related databases.
Skills
Python, Pdb, Mmcif, Mtz, Crystallography, Cryo-Em, Emdb, Bioinformatics, Structural Biology, Computational Biology, Data Curation, Data Pipelines
Similar jobs
Data Science jobsDesign and deploy optimization algorithms and incentive systems that improve driver engagement, marketplace efficiency, and earnings. The role partners with product, engineering, and operations teams and requires Python, quantitative modeling, experimentation, and at least two years of relevant experience.
Analyzes product and business data, develops metrics and dashboards, and communicates actionable recommendations to cross-functional teams and leadership. Candidates should be pursuing a quantitative bachelor's or master's degree, with SQL proficiency and familiarity with Python or R.
Data Scientist II developing graph-based algorithms, entity-resolution models, and large-scale data pipelines for identity and deceased-monitoring products. Requires advanced academic training or equivalent experience, strong Python/Scala and SQL skills, and hands-on Spark and AWS experience.
Analyzes proprietary private-market transaction and pricing data to identify valuation, liquidity, and investor trends, then translates findings into research publications and investor-facing thought leadership. Requires a bachelor's degree, strong quantitative skills, Excel and Python proficiency, and 3–7 years of relevant experience.
Data Science Intern supporting product and engineering teams through statistical analysis, experimentation, analytical modeling, and data-driven recommendations. The role requires quantitative academic study or equivalent project experience, plus familiarity with Python and SQL.