Berliner Institut für Gesundheitsforschung
Postdoctoral Researcher (d/w/m) in Genomics and Computational Medicine
Berliner Institut für Gesundheitsforschung, New Bremen, Ohio, United States
Responsibilities
Advancement of the research group’s strategy for molecular precision healthcare using diverse biobank‑scale DNA sequencing resources, including whole exome and whole genome sequencing, in collaboration with the leadership team.
Development of the research group, supervision, development and management of junior staff and students.
Developing bioinformatic workflows that integrate population‑scale genomics research with data from single cell experiments to identify disease‑relevant cell types and states.
Mining of electronic health records to sample patient cohorts for genetic analysis.
Implementation and development of statistical techniques to associate rare and structural variation in the human genome with health outcomes at scale, including deep learning‑derived variant prioritisation methods.
Using genetically anchored causal inference methods to advance understanding of the genetic causes and mechanisms underlying diverse diseases and their subtypes in ethnically diverse populations.
Qualifications
PhD in genomics, statistical genomics, genetic epidemiology or a closely related discipline.
Stage‑appropriate track record of high‑impact research and publications in genomics, multiomics, and/or single‑cell analysis.
Evidence of successful grant funding and managerial experience, depending on career stage.
Experience in generation and/or analysis of high‑throughput genomic data.
Experience in genome‑scale association analyses using large‑scale whole‑genome or whole‑exome sequencing data.
High level of proficiency in computational genomics, e.g., variant annotation.
Processing and analysis of multimodal single‑cell ‘omics data, including sc‑RNAseq or sc‑ATACseq, ideally linked to germline genetic variation.
Aptitude for biological inference and clinical translation.
Demonstrable extensive experience with principal programming languages in HPC or cloud environments.
High level proficiency in the English language.
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Advancement of the research group’s strategy for molecular precision healthcare using diverse biobank‑scale DNA sequencing resources, including whole exome and whole genome sequencing, in collaboration with the leadership team.
Development of the research group, supervision, development and management of junior staff and students.
Developing bioinformatic workflows that integrate population‑scale genomics research with data from single cell experiments to identify disease‑relevant cell types and states.
Mining of electronic health records to sample patient cohorts for genetic analysis.
Implementation and development of statistical techniques to associate rare and structural variation in the human genome with health outcomes at scale, including deep learning‑derived variant prioritisation methods.
Using genetically anchored causal inference methods to advance understanding of the genetic causes and mechanisms underlying diverse diseases and their subtypes in ethnically diverse populations.
Qualifications
PhD in genomics, statistical genomics, genetic epidemiology or a closely related discipline.
Stage‑appropriate track record of high‑impact research and publications in genomics, multiomics, and/or single‑cell analysis.
Evidence of successful grant funding and managerial experience, depending on career stage.
Experience in generation and/or analysis of high‑throughput genomic data.
Experience in genome‑scale association analyses using large‑scale whole‑genome or whole‑exome sequencing data.
High level of proficiency in computational genomics, e.g., variant annotation.
Processing and analysis of multimodal single‑cell ‘omics data, including sc‑RNAseq or sc‑ATACseq, ideally linked to germline genetic variation.
Aptitude for biological inference and clinical translation.
Demonstrable extensive experience with principal programming languages in HPC or cloud environments.
High level proficiency in the English language.
#J-18808-Ljbffr