Job ID: 329003654
Job date: 2017-05-23
End Date:
Company : Encoded Genomics Inc Country : Role : Research Scientist
Job date: 2017-05-23
End Date:
Company : Encoded Genomics Inc Country : Role : Research Scientist
Job Description:
We are recruiting a talented and experienced Senior Computational Biologist/ Bioinformatics Data Scientist to join our technology team. This is a unique opportunity to work at the intersection of genomics and therapeutics and participate in building an exciting, science-driven therapeutics company. The successful candidate will be able to work with complex sets of data, integrate various types of evidence into his/her analysis and be able to assess, test and validate findings in collaboration with our R&D team. A strong understanding of biological concepts, computational techniques and methods for testing and validation of his/her findings is essential. While s/he will work with a highly talented team of biological and computational scientists, the ability to independently define analysis rationale and its execution is required. This position offers the opportunity to work with large genomics datasets where machine learning techniques combined with a deep understanding of regulatory biology will yield ground breaking results with direct implications for therapeutic strategies. Responsibilities: -Analysis and management of complex genomics datasets in order to address specific clinical or drug discovery goals -Active participation in the development of in-house genomics technology platforms in collaboration with our R&D team -Development of bioinformatics data systems to analyze and interpret various types of genomics datasets Skills: *Genomic data -Analysis and interpretation of various types of genomic data -Integrative analysis combining different types of biological evidence -Working with transcriptomics data is a must *Biological background -Understanding of regulatory genome biology -Familiarity with functional screens -Applying data analysis to specific clinical/drug discovery projects *Algorithms -Machine learning computational techniques and their application to solving real world biological problems -Knowledge of standard statistical tools, such as R, SAS or MatLab, and of a general scripting language such as Python, Ruby, Perl or Groovy. Experience:
Additional Info:
Encoded Genomics is a therapeutics company funded by world-class healthcare investors Venrock, Arch Venture Partners, Illumina Ventures, and Matrix Capital Management. At Encoded, we are combining the precision of gene regulation with the versatility of gene therapies. [Click Here to Access the Original Job Post]
We are recruiting a talented and experienced Senior Computational Biologist/ Bioinformatics Data Scientist to join our technology team. This is a unique opportunity to work at the intersection of genomics and therapeutics and participate in building an exciting, science-driven therapeutics company. The successful candidate will be able to work with complex sets of data, integrate various types of evidence into his/her analysis and be able to assess, test and validate findings in collaboration with our R&D team. A strong understanding of biological concepts, computational techniques and methods for testing and validation of his/her findings is essential. While s/he will work with a highly talented team of biological and computational scientists, the ability to independently define analysis rationale and its execution is required. This position offers the opportunity to work with large genomics datasets where machine learning techniques combined with a deep understanding of regulatory biology will yield ground breaking results with direct implications for therapeutic strategies. Responsibilities: -Analysis and management of complex genomics datasets in order to address specific clinical or drug discovery goals -Active participation in the development of in-house genomics technology platforms in collaboration with our R&D team -Development of bioinformatics data systems to analyze and interpret various types of genomics datasets Skills: *Genomic data -Analysis and interpretation of various types of genomic data -Integrative analysis combining different types of biological evidence -Working with transcriptomics data is a must *Biological background -Understanding of regulatory genome biology -Familiarity with functional screens -Applying data analysis to specific clinical/drug discovery projects *Algorithms -Machine learning computational techniques and their application to solving real world biological problems -Knowledge of standard statistical tools, such as R, SAS or MatLab, and of a general scripting language such as Python, Ruby, Perl or Groovy. Experience:
-PhD or MS in computational biology or related field
-Five or more years working with complex molecular data -Strong biological background and computational expertise -Independent and creative thinking -Demonstrated desire and skills to work in a collaborative setting -Drug development experience is a plusRequeriments :
Skills :
- Biology
- genomic
- Machine Learning
- Programing in Python
- Programming in Matlab
- Programming in PERL
- Programming in R
- Programming in SAS
- Transcriptomics
Areas :
Additional Info:
Encoded Genomics is a therapeutics company funded by world-class healthcare investors Venrock, Arch Venture Partners, Illumina Ventures, and Matrix Capital Management. At Encoded, we are combining the precision of gene regulation with the versatility of gene therapies. [Click Here to Access the Original Job Post]