Job ID: 407260818
Job date: 2017-10-16
End Date:
Company : BERG Health Country : Role : Research Scientist
Job date: 2017-10-16
End Date:
Company : BERG Health Country : Role : Research Scientist
Job Description:
The Research Analytics team is seeking a highly motivated and experienced individual for a rapidly growing 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:
Additional Info:
BERG is a Boston-based biopharma company focused on taking a bold “back to biology” approach to therapeutic discovery using its unique AI-based Interrogative Biology® platform. This platform combines patient biology and artificial intelligence-based analytics to engage the differences between healthy and disease environments. The patient’s own biology drives the platform’s results and guides us in the discovery and development of drugs, diagnostics and healthcare applications. Our platform utilizes patient population health data to bring actionable Patient Intelligence™ to precision medicine applications. This means faster discovery and development of treatments, more effective precision treatments for individuals as well as a reduction in costs to our healthcare systems. [Click Here to Access the Original Job Post]
The Research Analytics team is seeking a highly motivated and experienced individual for a rapidly growing 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:
- Conduct statistical and bioinformatics analyses of high-throughput molecular data
- Interact with internal and external collaborators to understand, design and develop the requested solutions
- Develop and execute data analysis protocols to support company's discovery pipeline
- Present scientific results internally and externally
- Prepare and submit scientific manuscripts for review and publication
- Requires a PhD in Applied Math, Computer Sciences, Engineering or related field with 0-3 years of industry experience; or a MS with a minimum of 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
- 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
Requeriments :
Skills :
Additional Info:
BERG is a Boston-based biopharma company focused on taking a bold “back to biology” approach to therapeutic discovery using its unique AI-based Interrogative Biology® platform. This platform combines patient biology and artificial intelligence-based analytics to engage the differences between healthy and disease environments. The patient’s own biology drives the platform’s results and guides us in the discovery and development of drugs, diagnostics and healthcare applications. Our platform utilizes patient population health data to bring actionable Patient Intelligence™ to precision medicine applications. This means faster discovery and development of treatments, more effective precision treatments for individuals as well as a reduction in costs to our healthcare systems. [Click Here to Access the Original Job Post]