Data Scientist
The Research Analytics team is seeking a highly motivated and experienced individual for a multi-disciplinary team. The candidate will be instrumental in the analysis and interpretation of high-throughput molecular data. The ideal candidate should have solid Data Sciences background and be strongly goal oriented with a focus on real world impact.
Responsibilities
- Statistical and bioinformatics analyses of 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 company’s discovery pipeline
- Presentation of scientific results internally and externally
- Preparation and submission of scientific manuscripts for review and publication
Qualifications
- Requires a PhD in Bioinformatics, Statistics, Applied Math, Computer Sciences or related field with a 0-3 years of experience; or a MS with 5-7 years of industry experience
- Proficiency in R is required. Experience in Bioconductor is preferred
- Experience in Linux and Big Data technologies
- Experience in Scala, C, Python and MySQL is a plus
- Experience in working with NGS is a plus
- Proven ability to find creative and practical solutions to complex problems
- Proven experience in applying Data Science methodologies to extract, process and transform data from multiple sources
- 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
- Quick learner, extremely flexible and adaptable to the needs of internal collaborators in a dynamic environment
- Ability to efficiently work in multiple projects
- Excellent communication and interpersonal skills
- Must be able to work in team-oriented environment