Job Description:
We seek a statistical geneticist or biostatistician who is well-versed in analyzing large sets of human genomic and transcriptomic data of complex phenotypes. This lead position is central to the mission of our company and on our critical path to success in the clinic, which will depend on our ability to translate human genetic discoveries in kidney disease into novel therapeutic targets. The individual in this role will work very closely with the heads of biology, preclinical, clinical and computational biology, as well as with our academic founders. Using samples obtained through collaborations and partnerships, this individual will help design a comprehensive clinico-genomics data warehouse of the highest quality. She/he will develop rigorous quality control procedures for whole genome sequences, transcriptomic (RNAseq) data, and longitudinal clinical profiles, and lead studies leveraging best-practice statistical approaches to explore the association of genetic variants with onset and progression of disease with the goal of identifying novel targets for therapeutic intervention. Moreover, she/he will use large-scale transcriptomic data sets from patient tissue to identify gene expression changes associated with disease state which may be useful as clinical biomarkers. The sheer volume of the data generated, and potential impact on a profoundly underserved patient population, makes this an exciting opportunity for a motivated statistical geneticist who wishes to apply the results of genetic investigation to support the discovery of novel precision medicines and lead a renaissance in the treatment of kidney disease.
Additional Info:
The Opportunity: At the very heart of Goldfinch’s effort to bring precision medicines to kidney disease is our Patient Registry. Through global collaborations and partnerships, we are bringing together patients with FSGS/proteinuria worldwide and building a comprehensive data warehouse containing many thousands of whole genome sequences from patient samples, coupled to deep longitudinal clinical profiles.[Click Here to Access the Original Job Post]
We seek a statistical geneticist or biostatistician who is well-versed in analyzing large sets of human genomic and transcriptomic data of complex phenotypes. This lead position is central to the mission of our company and on our critical path to success in the clinic, which will depend on our ability to translate human genetic discoveries in kidney disease into novel therapeutic targets. The individual in this role will work very closely with the heads of biology, preclinical, clinical and computational biology, as well as with our academic founders. Using samples obtained through collaborations and partnerships, this individual will help design a comprehensive clinico-genomics data warehouse of the highest quality. She/he will develop rigorous quality control procedures for whole genome sequences, transcriptomic (RNAseq) data, and longitudinal clinical profiles, and lead studies leveraging best-practice statistical approaches to explore the association of genetic variants with onset and progression of disease with the goal of identifying novel targets for therapeutic intervention. Moreover, she/he will use large-scale transcriptomic data sets from patient tissue to identify gene expression changes associated with disease state which may be useful as clinical biomarkers. The sheer volume of the data generated, and potential impact on a profoundly underserved patient population, makes this an exciting opportunity for a motivated statistical geneticist who wishes to apply the results of genetic investigation to support the discovery of novel precision medicines and lead a renaissance in the treatment of kidney disease.
Requirements and Qualifications
Education: Ph.D. or M.D., Ph.D. in Human Genetics, Epidemiology, Biostatistics, Bioinformatics or related field. Required Experience: 2-5 years’ post-degree experience in an academic or industrial setting preferred, but candidates at all levels will be considered. Knowledge skills and abilities: -Solid foundation in statistics and genetics. -Experience using large-scale phenotype and genetic data. -Knowledge of sequence alignment and variant calling pipelines (BWA, STAR, GATK, etc) -Experience using clinical data, electronic medical records, and laboratory data for analysis of complex phenotypes. -Experience with RNAseq data analysis and eQTL studies a plus. -Knowledge of statistical genetics software (PLINK/SCAT/GAVA). -Experience using statistical software (R/MATLAB/SAS). -Programming/Scripting skills (Perl/Python/Shell/Java/Linux). -Machine learning experience a plus. -General knowledge of Cell Biology. -Ability to work as part of a highly collaborative team.Requeriments :
Skills :
- Cell Biology
- Genetics
- genomic
- Lunix/Unix
- Machine Learning
- Programing in Python
- Programming in Java
- Programming in Matlab
- Programming in PERL
- Programming in R
- Programming in SAS
- RNA-seq
- Shell scripting
- Statistics
- Transcriptomics
Areas :
Additional Info:
The Opportunity: At the very heart of Goldfinch’s effort to bring precision medicines to kidney disease is our Patient Registry. Through global collaborations and partnerships, we are bringing together patients with FSGS/proteinuria worldwide and building a comprehensive data warehouse containing many thousands of whole genome sequences from patient samples, coupled to deep longitudinal clinical profiles.[Click Here to Access the Original Job Post]