Senior Data Scientist chez None

POSITION SUMMARY:

The Senior Data Scientist is involved in conducting clinical studies, integrating, and interpreting massive datasets from both clinical/healthcare records as well as multi-omics data, and is instrumental in the analysis of scientific findings. The Senior Data Scientist candidate possesses an extensive background in data analysis, including the analysis of large datasets, coding skills using diverse toolsets, successful management experience in a dynamic team environment, and is highly goal-oriented.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Analysis of healthcare and high-throughput molecular/omic data (genomic, gene expression, lipidomic, metabolomic, proteomics data sets), and participation in assisting clinical data interpretation and generating content for clinical study reports
• Interaction with internal and external collaborators to understand, design and develop analytical solutions for complex data packages including, but not limited to, quality assessment of data as well as utilization of several statistical packages to assess translational utility
• Design and development of data analysis protocols to support company's drug discovery pipeline and facilitate precision medicine strategies for clinical development
• Interpretation and understanding of analytic results from a biology perspective, and presentation of scientific findings internally and externally to a diverse audience
• Research and implementation of innovative methods for data integration
• Preparation and submission of scientific manuscripts for review and publication as well as support intellectual property filings
• Other duties, as assigned.

 REQUIREMENTS:

• Requires a Ph.D. in Bioinformatics, Statistics, Applied Math, Computer Sciences, or related field with 7+ years of experience
• Proficiency in R/Bioconductor, Linux, and major “Big Data” technologies
• Experience in Scala, C, Python, and MySQL is a plus but not required
• Proven ability to successfully integrate, mentor, and communicate in a dynamic team environment toward defined goals and timelines
• Proven ability to independently find creative and practical solutions to complex problems
• Proven experience in applying Data Science methodologies to extract, process, and transform structured and unstructured datasets
• Proven ability to deliver outputs in a comprehensive format that highlights major trends, avoids misinterpretations, and values the conclusions  
  • Proven ability to demonstrate attention to detail and record keeping
  • Ability to efficiently work on multiple projects in parallel
  • Excellent communication and interpersonal skills
  • Must be able to work in a team-oriented environment