Job Description:
Recombine is advancing personalized medicine by translating developments from the fields of genomics and computer science into cost-effective, cutting-edge genetic diagnostics. We develop new products in a way that is ethically upstanding, medically meaningful, clinically actionable, and practically useful for patients and providers. Our first product, CarrierMap, helps identify couples at risk of passing a genetic disease to their children, and is currently being provided to thousands of patients around the world through our network of physicians. Our company was founded by experts in fertility, clinical genetics, bioinformatics and computer science brought together with one goal in mind: to improve health outcomes based on actionable and responsible genetic testing.
What You Will Be Doing
Work with large sets of genomic data to improve visualization, analysis, and quality control of our genetic testing products Contribute your analytical expertise to our research efforts; publish abstracts and manuscripts and be able to present at conferences Design experiments for qualifying the outcome of new product initiatives Organize the knowledge gained from experiments, combined with publicly available external datasets and literature, into recommendations for our research and innovative product pipelines Requirements
Ph.D in Computer Science, Statistics, Physics, Bioinformatics, Biostatistics, or another quantitative discipline Fluent in modern programming language (e.g. Python, R, Ruby, Scala etc.), shell scripting, databases (Postgres, MySQL etc) and text file processing Previous practical experience applying statistical principles and machine learning algorithms to large datasets Comfortable in a small, intense and high-growth start-up environment Strong communication skills; Clear ability to adapt abstract statistical concepts to messy biological reality
Additional Info:
[Click Here to Access the Original Job Post]
Recombine is advancing personalized medicine by translating developments from the fields of genomics and computer science into cost-effective, cutting-edge genetic diagnostics. We develop new products in a way that is ethically upstanding, medically meaningful, clinically actionable, and practically useful for patients and providers. Our first product, CarrierMap, helps identify couples at risk of passing a genetic disease to their children, and is currently being provided to thousands of patients around the world through our network of physicians. Our company was founded by experts in fertility, clinical genetics, bioinformatics and computer science brought together with one goal in mind: to improve health outcomes based on actionable and responsible genetic testing.
What You Will Be Doing
Work with large sets of genomic data to improve visualization, analysis, and quality control of our genetic testing products Contribute your analytical expertise to our research efforts; publish abstracts and manuscripts and be able to present at conferences Design experiments for qualifying the outcome of new product initiatives Organize the knowledge gained from experiments, combined with publicly available external datasets and literature, into recommendations for our research and innovative product pipelines Requirements
Ph.D in Computer Science, Statistics, Physics, Bioinformatics, Biostatistics, or another quantitative discipline Fluent in modern programming language (e.g. Python, R, Ruby, Scala etc.), shell scripting, databases (Postgres, MySQL etc) and text file processing Previous practical experience applying statistical principles and machine learning algorithms to large datasets Comfortable in a small, intense and high-growth start-up environment Strong communication skills; Clear ability to adapt abstract statistical concepts to messy biological reality
Requeriments :
Skills :
- Bioinformatics
- Genetics
- Machine Learning
- MySQL
- Programing in Python
- Programming in R
- Shell scripting
- SQL
- SQL
- Statistics
Areas :
Additional Info:
[Click Here to Access the Original Job Post]