Job Description:
The Application Scientist reports to a Computational scientist and have primary responsibility for providing sequencing analytics and data interpretation to the scientific research programs at the Jackson Laboratory for Genomic Medicine in Farmington, CT and its collaborative programs.
The ideal candidate will:
• Have a Ph.D. in bioinformatics, biostatistics, computer science or any relevant field of study.
• A relevant MS and substantial experience in Bioinformatics will also be considered.
• Have a proven track record and enthusiasm for working in a dynamic high performance research team environment;
• Demonstrate the aptitude and capacity to work in highly demanding research and genomics operations.
• Be creative contributors and eager to learn new technologies and science
Incumbents are required to live and work in Connecticut with periodic multi-day work visits to the Bar Harbor, Maine campus. Desired Skills
• Experience in High Throughput Sequence (HTS) data analysis, development of sequence analysis tools (bioinformatics programming) & pipelines, evaluation of analytical tools and technologies, and delivering training to the research community.
• Experience using analysis packages such as GATK, R/SAS is required.
• Experience in applying statistics and/or machine learning in genomics analytics is required
• Experience in experimental design, data integration, algorithm development is a plus
• Experience in the bioinformatics of cancer biology and immunology is a plus.
• Experience in developing computational algorithms and systems to support genetics and genomics research is a plus.
• Excellent communication skills including skills necessary to present at the conferences and workshops, write study designs and analytical methods.
Desired Experience
The successful candidate will have PhD degree in Statistics, Biostatistics, Computer Science or Bioinformatics. Bioinformatics expertise in bioinformatics of cancer biology and immunology is a plus. The candidates with proven track record of analysis of a variety of sequencing data, applying statistical and machine learning techniques, independent collaborative work and leading contributions to a biological discipline will be preferred.
Salary will be commensurate with experience and qualifications.
Job Information
Position Type: Scientist
Start Date: TBD
Duration: Full Time
Status: open
Contact Information
The Jackson Laboratory for Genomic Medicine
Computational Sciences – Statistics & Analytics (CS-SA) group
Dawn E. Scott
dawn.scott@jax.orghttp://www.jax.org
How To Apply:Interested candidates may submit applications online at www.jax.org/careers that include CV, list of publications, and brief statement of research interests along with a cover letter.
Additional Info:
[Click Here to Access the Original Job Post]
ISCB Job Board
Application Computational Scientist in Computational Sciences (Genomics, Sequencing Analytics and Statistics/Machine Learning)The Jackson Laboratory for Genomic MedicineComputational Sciences – Statistics & Analytics (CS-SA) groupUSA-CT-Farmington Position is immediately available for an Application Computational Scientist to join our Computational Sciences – Statistics & Analytics (CS-SA) group. This position offers plenty of opportunity to make leading contributions to cutting edge research and operations in disease genomics studies and translational research in collaboration with the faculty and the clients of The Jackson Laboratory. Cross campus and industry collaborations are encouraged.The Application Scientist reports to a Computational scientist and have primary responsibility for providing sequencing analytics and data interpretation to the scientific research programs at the Jackson Laboratory for Genomic Medicine in Farmington, CT and its collaborative programs.
The ideal candidate will:
• Have a Ph.D. in bioinformatics, biostatistics, computer science or any relevant field of study.
• A relevant MS and substantial experience in Bioinformatics will also be considered.
• Have a proven track record and enthusiasm for working in a dynamic high performance research team environment;
• Demonstrate the aptitude and capacity to work in highly demanding research and genomics operations.
• Be creative contributors and eager to learn new technologies and science
Incumbents are required to live and work in Connecticut with periodic multi-day work visits to the Bar Harbor, Maine campus. Desired Skills
• Experience in High Throughput Sequence (HTS) data analysis, development of sequence analysis tools (bioinformatics programming) & pipelines, evaluation of analytical tools and technologies, and delivering training to the research community.
• Experience using analysis packages such as GATK, R/SAS is required.
• Experience in applying statistics and/or machine learning in genomics analytics is required
• Experience in experimental design, data integration, algorithm development is a plus
• Experience in the bioinformatics of cancer biology and immunology is a plus.
• Experience in developing computational algorithms and systems to support genetics and genomics research is a plus.
• Excellent communication skills including skills necessary to present at the conferences and workshops, write study designs and analytical methods.
Desired Experience
The successful candidate will have PhD degree in Statistics, Biostatistics, Computer Science or Bioinformatics. Bioinformatics expertise in bioinformatics of cancer biology and immunology is a plus. The candidates with proven track record of analysis of a variety of sequencing data, applying statistical and machine learning techniques, independent collaborative work and leading contributions to a biological discipline will be preferred.
Salary will be commensurate with experience and qualifications.
Job Information
Position Type: Scientist
Start Date: TBD
Duration: Full Time
Status: open
Contact Information
The Jackson Laboratory for Genomic Medicine
Computational Sciences – Statistics & Analytics (CS-SA) group
Dawn E. Scott
dawn.scott@jax.orghttp://www.jax.org
How To Apply:Interested candidates may submit applications online at www.jax.org/careers that include CV, list of publications, and brief statement of research interests along with a cover letter.
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]