Job Description:
As the Director of Computational Biology, you will lead, design and execute on a variety of high-dimensional computational and bioinformatics projects centered on target identification, drug discovery and translational development of oncology and immune-oncology programs. Your initial focus will be to develop novel analysis strategies to filter and distill multi-dimensional datasets, including TCGA, CCLE data as well as pathway knowledge to generate focused hypotheses that will drive target identification/validation and drug discovery. As part of this effort, you will develop cutting edge computational tools and work with informatics team to implement the analysis pipeline as well as build the supporting infrastructure, including data capture and construction of key databases. As one of the key early hires for the company, a critical component of the job will be close collaboration with internal discovery teams and external investigators. The Director of Computational Biology will be a critical thought leader in the company, collaborating closely with discovery and development scientists. Requirements: -BA, MA, or PhD with 12 or more years of industrial or relevant academic experience -Strong understanding of cancer biology and cancer genetics with extensive experience in a wide range of sequencing technologies including next generation sequencing -Strong understanding of RNA-Seq and DNA-Seq analysis tools and methodologies, working experience with large dataset such as TCGA or CCLE. -Deep, practical understanding of statistics -Demonstrated practical expertise with computational and bioinformatics technologies, algorithms and techniques -Proficient programming skills and computational analysis background. Experience with R, PERL or Python, SQL are desirable -Ability to apply and develop tools for integrative analysis and visualization of multi-dimensional datasets, integrating biochemical, cellular and genomic data using appropriate statistical methods to drive drug discovery projects -Ability to work effectively with internal and external collaborators to funnel emerging genomics discoveries to guide internal programs and identify partners/consultants to complement internal bioinformatics efforts -Exposure or working experience in Immunology and Immuno-oncology will be a plus Knowledge, Skills, and Abilities: -Excellent communication and writing skills -Proven leadership abilities -Highly motivated to contribute to exciting novel directions in personalized medicine
Additional Info:
Candidate should send their resume and cover letter to Careers@tangotx.com for full consideration. We are going beyond current cancer treatments and targeting unaddressed disease mechanisms to develop transformational new drugs for patients. Powered by genetic data from patient tumors and advances in CRISPR-based target discovery, we are discovering medicines that embrace the complexity of cancer with the bold goal of cures. We use deep DNA sequencing and CRISPR-based screening to identify targets for specific subgroups of cancer patients. Our goal is to leverage the principles of synthetic lethality to find the weaknesses in cancer cells created by genetic complexity and use them to provide a roadmap to cures. Our discovery engineOur discovery efforts begin and end with patients. We invert the traditional discovery paradigm by putting patient selection before target identification to provide the right medicines to the right patient to improve speed and success in drug development. Essential to this effort is depth of understanding of the genetic subtypes of cancer and the drug combinations uniquely relevant to each subtype. As we advance into the clinic, our trials will enroll the patients most likely to benefit from our new treatments, enabling speed, success and impact for patients [Click Here to Access the Original Job Post]
As the Director of Computational Biology, you will lead, design and execute on a variety of high-dimensional computational and bioinformatics projects centered on target identification, drug discovery and translational development of oncology and immune-oncology programs. Your initial focus will be to develop novel analysis strategies to filter and distill multi-dimensional datasets, including TCGA, CCLE data as well as pathway knowledge to generate focused hypotheses that will drive target identification/validation and drug discovery. As part of this effort, you will develop cutting edge computational tools and work with informatics team to implement the analysis pipeline as well as build the supporting infrastructure, including data capture and construction of key databases. As one of the key early hires for the company, a critical component of the job will be close collaboration with internal discovery teams and external investigators. The Director of Computational Biology will be a critical thought leader in the company, collaborating closely with discovery and development scientists. Requirements: -BA, MA, or PhD with 12 or more years of industrial or relevant academic experience -Strong understanding of cancer biology and cancer genetics with extensive experience in a wide range of sequencing technologies including next generation sequencing -Strong understanding of RNA-Seq and DNA-Seq analysis tools and methodologies, working experience with large dataset such as TCGA or CCLE. -Deep, practical understanding of statistics -Demonstrated practical expertise with computational and bioinformatics technologies, algorithms and techniques -Proficient programming skills and computational analysis background. Experience with R, PERL or Python, SQL are desirable -Ability to apply and develop tools for integrative analysis and visualization of multi-dimensional datasets, integrating biochemical, cellular and genomic data using appropriate statistical methods to drive drug discovery projects -Ability to work effectively with internal and external collaborators to funnel emerging genomics discoveries to guide internal programs and identify partners/consultants to complement internal bioinformatics efforts -Exposure or working experience in Immunology and Immuno-oncology will be a plus Knowledge, Skills, and Abilities: -Excellent communication and writing skills -Proven leadership abilities -Highly motivated to contribute to exciting novel directions in personalized medicine
Requeriments :
Skills :
- Cancer biology
- DNA sequencing
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Programming in PERL
- Programming in R
- RNA-seq
- SQL
- Statistics
Areas :
Additional Info:
Candidate should send their resume and cover letter to Careers@tangotx.com for full consideration. We are going beyond current cancer treatments and targeting unaddressed disease mechanisms to develop transformational new drugs for patients. Powered by genetic data from patient tumors and advances in CRISPR-based target discovery, we are discovering medicines that embrace the complexity of cancer with the bold goal of cures. We use deep DNA sequencing and CRISPR-based screening to identify targets for specific subgroups of cancer patients. Our goal is to leverage the principles of synthetic lethality to find the weaknesses in cancer cells created by genetic complexity and use them to provide a roadmap to cures. Our discovery engineOur discovery efforts begin and end with patients. We invert the traditional discovery paradigm by putting patient selection before target identification to provide the right medicines to the right patient to improve speed and success in drug development. Essential to this effort is depth of understanding of the genetic subtypes of cancer and the drug combinations uniquely relevant to each subtype. As we advance into the clinic, our trials will enroll the patients most likely to benefit from our new treatments, enabling speed, success and impact for patients [Click Here to Access the Original Job Post]