Data Scientist
The Analytics team is looking for a highly motivated and goal-oriented Data Scientist with a strong background in Bioinformatic analysis. The Data Scientist will have a thorough understanding of standard genomic datasets (mutation, CNV, gene expression, etc) and the ability to build efficient pipelines to perform analysis on and extract gene/disease-specific information from such data. Additional duties will include the analysis and interpretation of other types of high-throughput molecular data. This opportunity offers a chance to work with a diverse range of biological data with a focus on real-world impact as part of a multi-disciplinary team.
Responsibilities
- Statistical and bioinformatic analyses of clinical, genomic and high-throughput molecular data
- Interaction with internal and external collaborators to understand, design and develop the requested solutions
- Development and execution of data analysis protocols to support the company’s discovery pipeline
- Presentation of scientific results internally and externally
- Other duties as assigned
Qualifications
- Master’s Degree with 2 years of experience, or Ph.D. in Bioinformatics, Computational Biology or related field
- A strong understanding of the statistical principles underlying common Bioinformatic analyses
- Proven experience in applying Data Science methodologies to extract, process, and transform data from publically available sources (TCGA, GEO, DbGap, etc)
- Proficiency in R is required. Experience in Bioconductor is preferred
- Experience in Linux and Big Data technologies
- Proven ability to deliver outputs in a comprehensive format that highlights major trends, avoid miss-interpretations and value the conclusions
- Proven ability to demonstrate attention to detail and record-keeping
- Must be able to work in a team-oriented environment
- Experience in the biotech, pharma, and/or healthcare industry is a plus
