A little about us:
The Lieber Institute for Brain Development (LIBD) was established in 2010 to plot a new course in biomedical research that would change the lives of individuals affected with developmental brain disorders. We are one of the only research institutions in the world focused specifically on understanding how genes and the environment influence the way our brains develop that lead to conditions such as schizophrenia, autism, bipolar disorder and related developmental brain disorders. Through our cutting-edge research, answers are emerging and being translated into a robust pipeline of new drugs in development. And, by focusing on genes and their dynamic interplay with the environment, we are getting even closer to the “holy grail” in medical research, the discovery of strategies for primary prevention.
We are a group of dedicated, multidisciplinary and optimistic researchers, working at the cutting edge of science, utilizing state-of-the-art tools to unlock the mystery of the brain and transform the way we approach the development of new treatments, and ultimately cures. LIBD is an independent 501(c)(3) medical research institute located in the Bioscience Park on the campus of the Johns Hopkins School of Medicine and Hospital in Baltimore, MD.
The R/Bioconductor-powered Team Data Science group, headed by Dr. Leonardo Collado-Torres, has a Staff Scientist I position in genomics data science available now. Our work is focused on understanding the roots and signatures of disease (particularly psychiatric disorders) by zooming in across dimensions of gene activity. We achieve this by studying gene expression at all expression feature levels (genes, exons, exon-exon junctions, and un-annotated regions) and by using different gene expression measurement technologies (bulk RNA-seq, single cell/nuclei RNA-seq, and spatial transcriptomics) that provide finer biological resolution and localization of gene expression. We work closely with collaborators from LIBD as well as from Johns Hopkins University (JHU) which reflects the cross-disciplinary approach and diversity in expertise needed to further advance our understanding of high throughout biology.
The Staff Scientist I will have the opportunity to lead and participate in team projects which involve deconvolution of bulk RNA-seq data using snRNA-seq reference data, spatial transcriptomics data from the 10x Genomics Visium platform (genomics and image processing), analyzing large bulk RNA-seq datasets and leveraging information across many samples. This position will also be involved in new projects and technologies that will help us further our understanding of psychiatric disorders. We are looking for someone who can contribute to our team environment by providing feedback on projects and suggestions on future directions.
Specific Duties and Responsibilities:
· Organize and lead collaborative and individual projects.
· Mentor and potentially manage other team members.
· Perform creative, rigorous and reproducible analyses on multi-omics datasets generated from the human postmortem brain samples at LIBD from technologies such as bulk RNA-seq, single cell/nuclei RNA-seq, and spatial transcriptomics.
· Utilize publicly available data such as the uniformly processed RNA-seq data from the recount3 project to enrich our findings from the LIBD datasets.
· Develop open-source computational biology software such as R/Bioconductor packages with helper tools such as biocthis.
· Communicate with individuals with different expertise such as biologists, computational scientists, and biostatisticians.
· Present research results at team meetings and scientific conferences as well as contribute to peer-reviewed publications and grant applications.
· Perform computational work on a high-performance computing environment called JHPCE, version control code with GitHub.
· Provide data science guidance sessions to other LIBD members and colleagues.
Other duties as assigned.
· Master’s degree in computer science, computational biology, biostatistics, bioinformatics, biomedical engineering, or a related field and a minimum of three years related experience is required
· PhD degree in any of the above fields is preferred
Special Knowledge, Skills, and Abilities:
· Track record of participation in collaborative projects such as peer-reviewed publications
· Experience with genomic data analysis using R/Bioconductor packages for two or more projects
· Evidence of computational skills and code version control through GitHub or similar options
· Experience using Linux and high-performance computing environments
· Understanding of statistical methods such as linear regression, interaction models, ANOVA, t-Student and F distributions, p-values and false discovery rate (FDR)
· Strong organizational skills, excellent problem-solving skills, excellent written and verbal communication skills
· Desire to keep learning more about biology and computational methods, and ways to integrate them
· Experience leading computational analysis projects most commonly exemplified with (co-)first peer-reviewed publications or pre-prints
· Advanced statistics knowledge including exponential family distributions and mixed effect models
· Understanding of how RNA-seq data is generated and familiarity with bioinformatics methods commonly used in the field
· R/Bioconductor package development experience
· Python experience is a plus as we do have potential python-based projects with image analysis
· Public presentation skills are a plus, and can be developed otherwise
** If accommodations are needed due to pregnancy or a disability, please contact firstname.lastname@example.org
EEOC Statement: At the Lieber Institute, we are committed to a work environment of mutual respect where employment decisions are based on merit. As an equal opportunity employer, the Lieber Institute does not discriminate in employment opportunities on the basis of race, color, religion, color, sex, gender identity/expression, sexual orientation, pregnancy, marital status, age, national origin or ancestry, citizenship, disability (physical or mental), genetic information, military service, or other non-merit based factors protected by state or federal law or local ordinance, with regard to any position or employment for which the applicant or employee is qualified.
You can apply directly here. Cover letters are strongly encouraged!
Tagged as: Computer Science, Life Sciences
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