Location: Cambridge, Massachusetts
Job Category: Data Management
Requisition Number: POS_00271149-1
Scientist, Bioinformatics, Translational Medicine, Oncology Research Therapeutic Area-POS_00271149-1
Description
Sanofi, an integrated global healthcare leader, discovers, develops and distributes therapeutic solutions focused on patients’ needs. Sanofi has core strengths in the field of healthcare with seven growth platforms: diabetes solutions, human vaccines, innovative drugs, consumer healthcare, emerging markets, animal health and the new Genzyme.
Sanofi US
At Sanofi US, we are committed to the growth of our people, connected in purpose by career, life and health. Headquartered in Bridgewater, NJ, Sanofi US is part of a leading global healthcare company that is dedicated to improving health and driving back disease by making innovative medicines accessible to people around the world.
Our extensive research and development efforts encompass a wide range of therapeutic areas that are in line with public health issues, trends and the most pressing health needs.
Sanofi US, along with the other US affiliates, Genzyme, Sanofi Pasteur, Merial and Chattem, employs more than 17,000 people across the country.
Commitment is our Strength. Ready to grow together.
Sanofi US endeavors to make our career center accessible to any and all users. If you are experiencing difficulty and need assistance applying online, please call 1-800-207-8049 Option 7, then Option 3.
Sanofi US is an equal opportunity employer that embraces diversity to foster positive, innovative thinking that will benefit people worldwide. Sanofi US is also committed to employing qualified individuals with disabilities and, where warranted, will provide reasonable accommodation to applicants, as well as its employees.
Job Responsibilities/Department Description:
We seek an experienced bioinformatics scientist / computational biologist to join a dynamic Translational Medicine bioinformatics group dedicated to the development of cancer therapeutics.
As an integrated part of a Translational Medicine and Discovery Teams, you will
•Develop analysis and quality control pipelines for a variety of Next Generation Sequencing (NGS) applications such as DNA-seq, ChIP-seq, and RNA-seq.
•Implement NGS pipelines on High performance computing (HPC) / Cloud computing environments.
•Develop novel statistical methods for indel, SNP, genotype, fusion and complex variant calling on a variety of internal and external sequencing platforms (454, SOLID, Illumina, PacBIO, etc.)
•Work with a group of developers and analysts in executing the NGS strategy
•Supply any computational, statistical, machine learning or modeling capability needed to synthesize data into the actionable next steps for Projects
•Develop Translational Medicine plans (e.g., patient selection and indication biomarkers) in collaboration with Project teams
Qualifications
Basic Qualifications:
•Ph.D. in a computational, statistical, biophysics, or bioinformatics related fields
•0-2 years of research (academia or industry) experience
Preferred Qualifications:
An ideal candidate will be collaborative, self-directed and possess
•First-hand experience in NGS analysis and methods as well as the computing infrastructure (HPC / Cloud computing) and data management methods to support NGS.
•First-hand multi-parametric data mining experience on expression, copy number and profiling datasets for target identification and biomarker discovery. For example, multivariate analysis; dimensionality reduction methods; parametric and non-parametric statistical methods; Bayesian statistics; pattern recognition or classification methods.
•First-hand experience at integrating publicly or commercially available genetic, genomic, and interaction datasets with novel experimental data to identify testable hypotheses
•Statistical programming skills like SAS/S-plus, R/bioconductor and pipeline pilot or equivalents.
•Programming languages like Java or Python or equivalents is desirable.
•A background in Immuno-oncology, Translational Research, Pathway Analysis, and Quantitative Methods for Systems Biology, Network Analysis, or Simulation are a plus.
Required Key Attributes
•Positive, proactive can-do mindset
•Demonstrated ability to lead projects of moderate scope, mapping-out critical path, milestones and timelines, as well as manage customer expectations with minimal supervision
•Developed communication and presentation skills and a successful track record of collaborating with cross-functional Project teams
#LI-SA
Job Category: Data Management
Requisition Number: POS_00271149-1
Scientist, Bioinformatics, Translational Medicine, Oncology Research Therapeutic Area-POS_00271149-1
Description
Sanofi, an integrated global healthcare leader, discovers, develops and distributes therapeutic solutions focused on patients’ needs. Sanofi has core strengths in the field of healthcare with seven growth platforms: diabetes solutions, human vaccines, innovative drugs, consumer healthcare, emerging markets, animal health and the new Genzyme.
Sanofi US
At Sanofi US, we are committed to the growth of our people, connected in purpose by career, life and health. Headquartered in Bridgewater, NJ, Sanofi US is part of a leading global healthcare company that is dedicated to improving health and driving back disease by making innovative medicines accessible to people around the world.
Our extensive research and development efforts encompass a wide range of therapeutic areas that are in line with public health issues, trends and the most pressing health needs.
Sanofi US, along with the other US affiliates, Genzyme, Sanofi Pasteur, Merial and Chattem, employs more than 17,000 people across the country.
Commitment is our Strength. Ready to grow together.
Sanofi US endeavors to make our career center accessible to any and all users. If you are experiencing difficulty and need assistance applying online, please call 1-800-207-8049 Option 7, then Option 3.
Sanofi US is an equal opportunity employer that embraces diversity to foster positive, innovative thinking that will benefit people worldwide. Sanofi US is also committed to employing qualified individuals with disabilities and, where warranted, will provide reasonable accommodation to applicants, as well as its employees.
Job Responsibilities/Department Description:
We seek an experienced bioinformatics scientist / computational biologist to join a dynamic Translational Medicine bioinformatics group dedicated to the development of cancer therapeutics.
As an integrated part of a Translational Medicine and Discovery Teams, you will
•Develop analysis and quality control pipelines for a variety of Next Generation Sequencing (NGS) applications such as DNA-seq, ChIP-seq, and RNA-seq.
•Implement NGS pipelines on High performance computing (HPC) / Cloud computing environments.
•Develop novel statistical methods for indel, SNP, genotype, fusion and complex variant calling on a variety of internal and external sequencing platforms (454, SOLID, Illumina, PacBIO, etc.)
•Work with a group of developers and analysts in executing the NGS strategy
•Supply any computational, statistical, machine learning or modeling capability needed to synthesize data into the actionable next steps for Projects
•Develop Translational Medicine plans (e.g., patient selection and indication biomarkers) in collaboration with Project teams
Qualifications
Basic Qualifications:
•Ph.D. in a computational, statistical, biophysics, or bioinformatics related fields
•0-2 years of research (academia or industry) experience
Preferred Qualifications:
An ideal candidate will be collaborative, self-directed and possess
•First-hand experience in NGS analysis and methods as well as the computing infrastructure (HPC / Cloud computing) and data management methods to support NGS.
•First-hand multi-parametric data mining experience on expression, copy number and profiling datasets for target identification and biomarker discovery. For example, multivariate analysis; dimensionality reduction methods; parametric and non-parametric statistical methods; Bayesian statistics; pattern recognition or classification methods.
•First-hand experience at integrating publicly or commercially available genetic, genomic, and interaction datasets with novel experimental data to identify testable hypotheses
•Statistical programming skills like SAS/S-plus, R/bioconductor and pipeline pilot or equivalents.
•Programming languages like Java or Python or equivalents is desirable.
•A background in Immuno-oncology, Translational Research, Pathway Analysis, and Quantitative Methods for Systems Biology, Network Analysis, or Simulation are a plus.
Required Key Attributes
•Positive, proactive can-do mindset
•Demonstrated ability to lead projects of moderate scope, mapping-out critical path, milestones and timelines, as well as manage customer expectations with minimal supervision
•Developed communication and presentation skills and a successful track record of collaborating with cross-functional Project teams
#LI-SA