Senior Computational Biologist
2 months ago
Position Summary
As a key member of the Data Science team, you will play a pivotal role in harnessing high-throughput experimental data to discover innovative treatment options for intricate diseases. Your expertise will guide the development of analytical strategies, evaluation of assays, and the creation of bioinformatics workflows to facilitate efficient data processing and insight extraction.
Location: This position operates in a hybrid model, requiring onsite presence at our Chicago office several days a week.
Key Responsibilities
- Act as the principal computational scientist on projects, steering the strategic approach for various data types and deep learning methodologies.
- Utilize your bioinformatics expertise to pinpoint combined assays and analytical techniques that effectively represent biological phenotypes.
- Conduct thorough analyses of experimental data across multiple modalities to yield insights and optimization strategies.
- Lead the creation of reproducible workflows that transform high-throughput experimental findings into features suitable for deep learning model training.
- Identify challenges within experimental workflows and propose experiments and analyses to enhance their effectiveness.
- Explore solutions to the challenges posed by high-throughput and extensive data volume 'omics-level' assays.
- Extract analytical insights from experimental outcomes that inform the direction of product development teams.
- Incorporate the latest advancements in deep learning and bioinformatics to address current design challenges faced by Evozyne.
Candidate Profile
You excel in a dynamic start-up environment, leveraging your adaptability and expertise to achieve exceptional results. Your natural curiosity drives you to collaborate effectively in solving complex challenges. You find fulfillment in your work and prioritize pursuing your interests outside of the professional realm.
Essential Qualifications
- A minimum of 3 years of experience in the scientific industry focusing on project strategy development.
- Comprehensive knowledge of molecular biology and omics assays, particularly in immunology.
- At least 3 years of experience in analyzing omics-level biological datasets for biomarker identification (RNA-seq/proteomics/imaging).
Educational Background:
PhD in molecular biology with a minimum of 3 years of relevant postdoctoral or industry experience, or a master's degree with at least 6 years of pertinent experience, including leadership roles.
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