Do you want to use genomics and computation to solve brain disease? The Neurogenomics Lab of Harvard Medical School and Brigham and Women’s Hospital seeks an exceptional Post-doctoral Fellow in Bioinformatics. Our vision is to develop a healthcare of the future that is predictive and precise: a future, where we will forecast a patient’s disease using genomes and big data and prevent disease progression with precision medicines. The Fellow will identify genetic variants driving neurodegenerative diseases using innovative genome-wide survival and association studies with large-scale, deeply phenotyped longitudinal patient cohorts as well as multi-dimensional, multi-omics single cell brain data. This is a unique opportunity to engage in cutting edge science and make a central contribution to neuroscience research using genetics and machine learning. Harvard Medical School provides a vibrant research environment with close links to top academic and industry institutions across the Boston area and the world. The successful candidate will work closely with the Principal Investigator Clemens Scherzer and other researchers in the lab - including engineers, neuroscientists, and clinicians - to develop and implement visualization and computational strategies for data analysis. Check recent publications from the Neurogenomics Lab for background, particularly Liu et al., Nature Genetics, 2021; Liu et al., Lancet Neurology, 2017; Dong et al., Nature Neuroscience, 2018. Learn more about our research at www.scherzerlaboratory.org and www.bwhparkinsoncenter.org.
How to apply: Submit (1) your biosketch, (2) a cover letter outlining your scientific interests and goals, and (3) two letters of references to Dr. Clemens Scherzer at cscherzer@rics.bwh.harvard.edu and cc to Sherri Schwaninger at sschwaninger@bwh.harvard.edu.
Requirements Essential
- A PhD in bioinformatics, computer science, computational biology, human genetics or a related field.
- A strong background in statistics and demonstrated proficiency in R.
- First-author articles in any of the project relevant fields
- Expertise within Genetics or Genomics.
- Experience analyzing data from GWAS and next-generation sequencing technologies.
- Excellent English skills and compassion.
- Outstanding personal initiative and the ability to work effectively as part of a team.
Responsibilities
- Analyze large-scale datasets from a wide variety of genetics experiments including but not limited to whole genome sequencing, exome sequencing, genotype-phenotype association studies, and big health data
- Develop methods and algorithms to approach novel problems in computational biology
- This is a unique opportunity to engage in cutting edge science and make a central contribution to brain disease
- Lead and contribute to publications and create scientifically rigorous visualizations of results
- Maintain and organize computational pipelines, infrastructure, and resources
- Opportunity to hone teaching and mentoring skills by overseeing junior team members
Benefits
- We will teach you what you do not yet know through mentoring, peer support, and many educational opportunities
- Unique opportunity to make major discoveries, launch your academic career, and experience the vibrant Harvard science community
- Salary commensurate with experience, excellent healthcare benefits, opportunities for career progression
