Senior Research Scientist - Computational Biologist

September 18

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Description

• Lead projects combining ML/AI solutions, knowledge graphs, bioinformatics, biophysical simulations, and software development to optimize drug discovery and development strategies • Guide a technical team to innovate in areas including disease biology, bioinformatics, cheminformatics, AI (e.g., ML, NLP, etc.) • Apply experience in both technical leadership and people management to build a successful and inclusive team • Directly impact decision-making in drug discovery and development projects • Partner with researchers from diverse backgrounds to develop novel computational methods to infer causality in disease progression • Provide broad insight and lead drug projects by providing support on studies in multiple scientific areas including target identification and validation, biomarker discovery, patient stratification, clinical trial design, etc. • Interpret experimental data from biological studies in immunology, oncology, and neurodegeneration • Analyze omics and phenotyping data from research studies, clinical trials, and real-world databases to identify disease-driving cell types, pathways, and genes • Propose drug targets based on biology insights derived from data and suggest validation experiments

Requirements

• PhD in computational biology or similar field with strong innovation and publication record • 10+ years of relevant professional experience, including pharma/biotech and postdoctoral research • Experience mentoring direct and/or indirect reports • Excellent analytical capability, being able to identify key questions and come up with innovative solutions for complex problems • Unique blend of passion for biology, strong bioinformatics experience (omics, pathway, network analysis, etc.), AI, software development, and literacy on experimental biology to be an effective leader of your team • Enjoys the startup work culture with a great collaborative spirit • Strong team player with good communication skills (especially with experimental biologists)

Benefits

• Competitive salaries • Stock options depending on employment type • Generous learning opportunities • Medical/dental/vision • Family planning/fertility • PTO (summer and winter breaks) • Financial wellness resources • 401(k) plans • More