Job ID: 283232392
Job date: 2017-05-11
End Date:
Company : Moderna Therapeutics Inc. Country : Role : Research Scientist
Job date: 2017-05-11
End Date:
Company : Moderna Therapeutics Inc. Country : Role : Research Scientist
Job Description:
Moderna is seeking an exceptionally talented and highly motivated scientist to lead the computational research efforts central to the success of Caperna, a Moderna venture based in Cambridge MA. Caperna’s mission is to develop Personalized Cancer Vaccines (PCVs), delivering on the potential of both personalized medicine and mRNA vaccines for patients with aggressive tumors and high unmet medical need. The successful candidate will be responsible for leading a variety of computational research projects to advance the science of PCVs through large-scale genomic data integration and analysis, algorithm comparison and benchmarking, and machine learning. The individual will have a deep understanding of cancer genomics and will stay abreast of the emerging science of neo-antigens and cancer immunology, a fast-moving field at the intersection of oncology and immunology. Leading a small team, the candidate will leverage literature findings along with public and private datasets to test new tools and apply novel research for direct incorporation into Moderna’s clinically regulated software pipeline for designing PCVs from tumor sequencing data. The successful candidate will thrive in a proactive, can-do culture and enjoy working in a small, cross-disciplinary team as well as collaborating with other computational scientists and software developers across the Moderna ecosystem. Responsibilities: -Generate hypotheses and lead research in novel approaches to neo-antigen identification, immunogenicity prediction, and personalized cancer vaccine design -Lead efforts in the analysis of large public datasets and databases relevant to cancer genomics and immuno-oncology, such as TCGA, IEDB, and GTEx -Leverage internal and public cancer genomic and clinical data to support decisions on clinical indications and target populations -Direct the development of new tools and algorithms for integrative analysis of DNA-seq, RNA-seq, and whole exome sequencing datasets in the context of neo-antigen discovery -Explore and implement external methods, technologies, and collaborations to advance the PCV platform -Lead a small team that develops, maintains, tests, and deploys the vaccine design pipeline -Act as subject matter expert on cancer genomics, immuno-oncology, DNA/RNA sequencing, and related bioinformatics algorithms Qualifications: -PhD in Cancer Genomics, Computational Biology, Bioinformatics, or similar -Minimum of 5 years of experience post-PhD in a relevant setting -Deep understanding of cancer genomics -Understanding of immuno-oncology, with a knowledge of the current drug landscape -Demonstrated leadership in directing novel research efforts using genomic data -Technical expertise in NGS data processing and analysis, including extensive hands-on experience with whole exome and RNA sequencing -Technical proficiency in Python and NGS data processing/analysis -Experience with neo-antigen identification and/or immunogenicity prediction -Advanced programming expertise in Python and proficiency in R -Prior success in the design and development of complex data analysis pipelines and systems -Experience with modern techniques in data science and machine learning, such as feature engineering, cross-validation, clustering and PCA, and supervised learning -Experience contributing to (ideally leading) scientific software development efforts to deliver pipelines, tools, and data analyses -Experience working in a cloud computing environment using Amazon Web Services (EC2 and S3), Docker, Luigi, pandas, and/or Spark
Additional Info:
Moderna is a clinical stage pioneer of messenger RNA Therapeutics™, an entirely new in vivo drug technology that produces human proteins, antibodies and entirely novel protein constructs inside patient cells, which are in turn secreted or active intracellularly. This breakthrough platform addresses currently undruggable targets and offers a superior alternative to existing drug modalities for a wide range of diseases and conditions. Moderna is developing and plans to commercialize its innovative mRNA drugs through its own ventures and its strategic relationships with established pharmaceutical and biotech companies. Its current ventures are: Onkaido, focused on oncology, Valera, focused on infectious diseases, Elpidera, focused on rare diseases, and Caperna, focused on personalized cancer vaccines. Cambridge-based Moderna is privately held and currently has strategic agreements with AstraZeneca, Alexion Pharmaceuticals and Merck. [Click Here to Access the Original Job Post]
Moderna is seeking an exceptionally talented and highly motivated scientist to lead the computational research efforts central to the success of Caperna, a Moderna venture based in Cambridge MA. Caperna’s mission is to develop Personalized Cancer Vaccines (PCVs), delivering on the potential of both personalized medicine and mRNA vaccines for patients with aggressive tumors and high unmet medical need. The successful candidate will be responsible for leading a variety of computational research projects to advance the science of PCVs through large-scale genomic data integration and analysis, algorithm comparison and benchmarking, and machine learning. The individual will have a deep understanding of cancer genomics and will stay abreast of the emerging science of neo-antigens and cancer immunology, a fast-moving field at the intersection of oncology and immunology. Leading a small team, the candidate will leverage literature findings along with public and private datasets to test new tools and apply novel research for direct incorporation into Moderna’s clinically regulated software pipeline for designing PCVs from tumor sequencing data. The successful candidate will thrive in a proactive, can-do culture and enjoy working in a small, cross-disciplinary team as well as collaborating with other computational scientists and software developers across the Moderna ecosystem. Responsibilities: -Generate hypotheses and lead research in novel approaches to neo-antigen identification, immunogenicity prediction, and personalized cancer vaccine design -Lead efforts in the analysis of large public datasets and databases relevant to cancer genomics and immuno-oncology, such as TCGA, IEDB, and GTEx -Leverage internal and public cancer genomic and clinical data to support decisions on clinical indications and target populations -Direct the development of new tools and algorithms for integrative analysis of DNA-seq, RNA-seq, and whole exome sequencing datasets in the context of neo-antigen discovery -Explore and implement external methods, technologies, and collaborations to advance the PCV platform -Lead a small team that develops, maintains, tests, and deploys the vaccine design pipeline -Act as subject matter expert on cancer genomics, immuno-oncology, DNA/RNA sequencing, and related bioinformatics algorithms Qualifications: -PhD in Cancer Genomics, Computational Biology, Bioinformatics, or similar -Minimum of 5 years of experience post-PhD in a relevant setting -Deep understanding of cancer genomics -Understanding of immuno-oncology, with a knowledge of the current drug landscape -Demonstrated leadership in directing novel research efforts using genomic data -Technical expertise in NGS data processing and analysis, including extensive hands-on experience with whole exome and RNA sequencing -Technical proficiency in Python and NGS data processing/analysis -Experience with neo-antigen identification and/or immunogenicity prediction -Advanced programming expertise in Python and proficiency in R -Prior success in the design and development of complex data analysis pipelines and systems -Experience with modern techniques in data science and machine learning, such as feature engineering, cross-validation, clustering and PCA, and supervised learning -Experience contributing to (ideally leading) scientific software development efforts to deliver pipelines, tools, and data analyses -Experience working in a cloud computing environment using Amazon Web Services (EC2 and S3), Docker, Luigi, pandas, and/or Spark
Requeriments :
Skills :
- Cloud Computing
- DNA sequencing
- Machine Learning
- Next Generation Sequencing
- Programing in Python
- Programming in R
- RNA-seq
Areas :
Additional Info:
Moderna is a clinical stage pioneer of messenger RNA Therapeutics™, an entirely new in vivo drug technology that produces human proteins, antibodies and entirely novel protein constructs inside patient cells, which are in turn secreted or active intracellularly. This breakthrough platform addresses currently undruggable targets and offers a superior alternative to existing drug modalities for a wide range of diseases and conditions. Moderna is developing and plans to commercialize its innovative mRNA drugs through its own ventures and its strategic relationships with established pharmaceutical and biotech companies. Its current ventures are: Onkaido, focused on oncology, Valera, focused on infectious diseases, Elpidera, focused on rare diseases, and Caperna, focused on personalized cancer vaccines. Cambridge-based Moderna is privately held and currently has strategic agreements with AstraZeneca, Alexion Pharmaceuticals and Merck. [Click Here to Access the Original Job Post]