Job Description:
We are seeking a talented and highly motivated biostatistician to fill a senior position in our expanding research organization. This full-time position will report to the director of discovery research and will be expected to fulfill two major roles: (1) Provide state-of-the-art, high quality and rapid statistical analyses of the data generated by Genocea’s ATLAS platform and (2) play a central role in the integration of data acquisition capabilities to enable real-time analysis. The successful candidate will be a self-starter and will be expected to provide strong scientific leadership in the development of innovative frameworks for the statistical analysis and their integration in an automated analysis machine. In addition the candidate will be expected to interface with other functional groups and departments at Genocea Biosciences (vaccine development, translational medicine, process development) to provide statistical analysis and develop novel actionable hypotheses (for instance: Design of Experiment, power calculations). Finally, the candidate will be an outstanding communicator, with a particular talent to educate diverse audiences and explain state-of-the art statistical concepts in clear, actionable language. Target Start date is 01Mar2015.
Primary Responsibilities
Primary responsibility to provide comprehensive and innovative analysis frameworks for the data generated by Genocea Biosciences primary screening technology, consistent with the biology of systems studied.
Provide strategic and tactical scientific support to Genocea’s pre-clinical programs, including projects in discovery, vaccine preclinical studies, translational medicine and process development.
Propose experimental design (DOE) and analysis strategies; perform statistical analyses and collaborate with investigators to ensure the statistical integrity of nonclinical reports.
Provide advice and training on the use of statistical methods and software packages to nonclinical investigators within the company.
Collaborate with scientists in support of external publications.
Strong track record for global scientific leadership in the development and evaluation of modern analysis methodologies. Keep abreast of new developments in statistics, drug development, and regulatory guidance through literature review, conference attendance, and professional activities.
Design and implementation of modern and innovative experimental designs, statistical models, and analysis methodologies.
Effective communication skills and the ability to distill complex statistical concepts into actionable hypotheses is a key requirement.
Ability to work independently on multiple projects.
Required Skills
Must have experience working with large data sets and databases (next generation sequencing analysis, SNP association studies, gene expression data mining, haplotype inference and association analysis, proteome analysis, high throughput screening data or similar). Experience in the creation and curation of large databases is required.
Must demonstrate exceptional command of theoretical statistical concepts and their application to various biological problems (parametric, non-parametric statistics, multivariate and mixed models analysis).
Must be proficient in using established analysis packages, such as, SAS, JMP, STATA and Design Expert.
Must demonstrate outstanding communication skills and in particular, an ability to explain abstract statistical concepts to stakeholders with varying levels of statistical literacy.
Fluency with bioinformatics and experience in using public databases and web-based analysis tools are considered very strong assets.
Coding skills in R (GNU S), Linux & shell scripting, C++, Perl, Python and/or VBA are also considered a strong asset. Demonstrated track record as an integrator of multiple hardware/software interfaces is a definite plus.
Experience with datasets originating from cell based assays and variance component analysis of complex QC metrics is desirable.
Candidates with a degree in empirical scientific disciplines such as biology or chemistry are preferred. An immunology background is a plus, but not required
Education & Experience
Ph.D. in statistics or biostatistics (Genomics or Human Genetics) with at least 8 years of experience in nonclinical statistics.
Additional Info:
[Click Here to Access the Original Job Post]
We are seeking a talented and highly motivated biostatistician to fill a senior position in our expanding research organization. This full-time position will report to the director of discovery research and will be expected to fulfill two major roles: (1) Provide state-of-the-art, high quality and rapid statistical analyses of the data generated by Genocea’s ATLAS platform and (2) play a central role in the integration of data acquisition capabilities to enable real-time analysis. The successful candidate will be a self-starter and will be expected to provide strong scientific leadership in the development of innovative frameworks for the statistical analysis and their integration in an automated analysis machine. In addition the candidate will be expected to interface with other functional groups and departments at Genocea Biosciences (vaccine development, translational medicine, process development) to provide statistical analysis and develop novel actionable hypotheses (for instance: Design of Experiment, power calculations). Finally, the candidate will be an outstanding communicator, with a particular talent to educate diverse audiences and explain state-of-the art statistical concepts in clear, actionable language. Target Start date is 01Mar2015.
Primary Responsibilities
Primary responsibility to provide comprehensive and innovative analysis frameworks for the data generated by Genocea Biosciences primary screening technology, consistent with the biology of systems studied.
Provide strategic and tactical scientific support to Genocea’s pre-clinical programs, including projects in discovery, vaccine preclinical studies, translational medicine and process development.
Propose experimental design (DOE) and analysis strategies; perform statistical analyses and collaborate with investigators to ensure the statistical integrity of nonclinical reports.
Provide advice and training on the use of statistical methods and software packages to nonclinical investigators within the company.
Collaborate with scientists in support of external publications.
Strong track record for global scientific leadership in the development and evaluation of modern analysis methodologies. Keep abreast of new developments in statistics, drug development, and regulatory guidance through literature review, conference attendance, and professional activities.
Design and implementation of modern and innovative experimental designs, statistical models, and analysis methodologies.
Effective communication skills and the ability to distill complex statistical concepts into actionable hypotheses is a key requirement.
Ability to work independently on multiple projects.
Required Skills
Must have experience working with large data sets and databases (next generation sequencing analysis, SNP association studies, gene expression data mining, haplotype inference and association analysis, proteome analysis, high throughput screening data or similar). Experience in the creation and curation of large databases is required.
Must demonstrate exceptional command of theoretical statistical concepts and their application to various biological problems (parametric, non-parametric statistics, multivariate and mixed models analysis).
Must be proficient in using established analysis packages, such as, SAS, JMP, STATA and Design Expert.
Must demonstrate outstanding communication skills and in particular, an ability to explain abstract statistical concepts to stakeholders with varying levels of statistical literacy.
Fluency with bioinformatics and experience in using public databases and web-based analysis tools are considered very strong assets.
Coding skills in R (GNU S), Linux & shell scripting, C++, Perl, Python and/or VBA are also considered a strong asset. Demonstrated track record as an integrator of multiple hardware/software interfaces is a definite plus.
Experience with datasets originating from cell based assays and variance component analysis of complex QC metrics is desirable.
Candidates with a degree in empirical scientific disciplines such as biology or chemistry are preferred. An immunology background is a plus, but not required
Education & Experience
Ph.D. in statistics or biostatistics (Genomics or Human Genetics) with at least 8 years of experience in nonclinical statistics.
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]