Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
About the role
- Senior Computational Scientist/Data Engineer specializing in computational biology data analysis and workflow optimization. Working within the Oncology Data Science team to support pre-clinical to clinical development.
Responsibilities
- Collaborate with cross-functional teams to curate key experimental and omics datasets with an emphasis on quality and correctness to ensure that our complex scientific data are trustworthy
- Perform exploratory data analyses on key experimental and omics datasets
- Evaluate and implement automation tools and AI/ML approaches to enhance data curation and EDA workflows that increase the speed and accuracy of data handling
- Collaborate with cross-functional teams to develop and adopt best practices for data engineering
Requirements
- Ideally an advanced degree (PhD, MS, or BS) in Computational Biology, Bioinformatics, Data Science, Computer Science, or related field with relevant experience
- A minimum of 5-8 years in either academia or industry working in an equivalent position in computational biology, bioinformatics, data engineering, or related field
- At least 4-5 years of experience working with molecular biology or omics data
- Demonstrated statistical and analytic rigor while performing exploratory data analyses and drawing scientific conclusions from experimental data (e.g., scRNAseq, RNAseq, ChIPseq, DNAseq, proteomics, compound screens, or CRISPR screens)
- Fluent in one or more programming languages with bioinformatics applications (R, Python)
- Knowledge of version control, reproducible workflows, Unix / Linux
- Curiosity, creativity, strong organizational skills, solution-oriented problem solving
- Ability to work independently, prioritize tasks, determine project next steps, manage multiple projects and stakeholders simultaneously
- Excellent written and verbal communication skills, including the ability to explain complex concepts to diverse audiences.
Benefits
- Health insurance
- Work-life balance programs
- Professional development opportunities
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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