Job Description:
We're looking to build a data science team who are passionate and focused on developing state of the art techniques to processing and analyzing vast amounts of genomic and molecular data. Data scientists will collaborate with product, research and business development teams to develop the most advanced data fusion platform in cancer care. What you'll do:
Additional Info:
Passionate about making a difference in the world of cancer genomics? With the advent of genomic sequencing, we can finally measure and process our genetic makeup. We now have more data than ever before but providers don't have the infrastructure or expertise to make sense of said data. Here at Tempus, we believe the greatest promise for the detection and treatment of cancer lies in the deep understanding of molecular activity for disease initiation, progression, and efficacious treatment based on the discovery of unique biomarkers. We're on a mission to connect an entire ecosystem to redefine how genomic data is used in clinical settings.[Click Here to Access the Original Job Post]
We're looking to build a data science team who are passionate and focused on developing state of the art techniques to processing and analyzing vast amounts of genomic and molecular data. Data scientists will collaborate with product, research and business development teams to develop the most advanced data fusion platform in cancer care. What you'll do:
- Independently develop and implement analytical pipelines, for use in research and in production.
- Wrangle large datasets and develop innovative methods for storing and processing data.
- Deploy computation across multiple cores and nodes, with and without the cloud
- Interrogate analytical results to resolve algorithmic success, robustness and validity
- PhD, MS, or equivalent experience in statistics, computer science, bioinformatics or related field
- Significant quantitative training in probability, statistics and machine learning
- classical statistical tools, machine learning algorithms, ensemble methods
- data exploration and visualization methods
- Significant analytical development and programming skills
- R, Python or Julia
- Reproducible research methods
- Visualization tools
- Significant database familiarity
- mySQL, NoSQL, Cassandra, MongoDB, Elasticsearch, HBase
- Experience working in Linux and running tasks in a cluster environment
- experience with cloud computing is a plus
- Experience in genomics is a plus, especially experience with next-generation sequencing data processing and modeling
- Goal-oriented thinking
- Great problem solving skills
- Self-driven and works well in an interdisciplinary team with minimal direction
- Experience with communicating insights and presenting concepts to a diverse audience of engineers, clinicians, laboratory scientists and business development professionals
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in Computer Science
- M.Sc. or higher Degree in Statistics
Skills :
- Cloud Computing
- genomic
- Lunix/Unix
- Machine Learning
- MongoDB
- MySQL
- Next Generation Sequencing
- NoSQL
- Programing in Python
- Programing Skills
- Programming in R
- Statistics
Areas :
Additional Info:
Passionate about making a difference in the world of cancer genomics? With the advent of genomic sequencing, we can finally measure and process our genetic makeup. We now have more data than ever before but providers don't have the infrastructure or expertise to make sense of said data. Here at Tempus, we believe the greatest promise for the detection and treatment of cancer lies in the deep understanding of molecular activity for disease initiation, progression, and efficacious treatment based on the discovery of unique biomarkers. We're on a mission to connect an entire ecosystem to redefine how genomic data is used in clinical settings.[Click Here to Access the Original Job Post]