We are searching for an organized Post-Doctoral Research Fellow to join our diverse team at Hebrew SeniorLife in Roslindale, MA.
Growing your career as a Full Time Post-Doctoral Research Fellow is an amazing opportunity to develop exceptional skills.
If you are strong in teamwork, communication and have the right drive for the job, then apply for the position of Post-Doctoral Research Fellow at Hebrew SeniorLife today!
Opportunity for a post-doctoral candidate to conduct independent research, under the supervision of Harvard Medical School faculty, in a several ongoing large, cohort studies. Ph.D or MD required. Despite the successes of genome-wide association studies (GWAS), important challenges remain that limit their impact on human biology and medicine, especially the fact that in most of cases the causal loci are located in non-coding regions and poorly understood. Recent advances in human regulatory and functional genomics (ENCODE, Roadmap Epigenomics Project and GTEX) using 3D genomic structure (such as HI-C seq) and gene editing technologies (such as CRISPR/Cas9) allow us to overcome these challenges and gain a systematic understanding of the role of GWAS variants in human disease and complex traits. To translate human genetics findings from GWAS and NGS association studies to actionable therapeutic-target candidates of musculoskeletal disorders, the research team has been developing machine learning approaches by incorporating information from human bone and muscle tissue-specific regulatory landscapes to predict causal/functional variants and their targeted genes under each GWAS locus of musculoskeletal phenotypes.
Position Responsibilities:
• Postdoctoral fellowship is available to conduct research in Genetic Epidemiology In Musculoskeletal Disorders. Opportunity for a post-doctoral candidate to conduct independent research, under the supervision of Harvard Medical School faculty, in a several ongoing large, cohort studies.
• The fellow will carry out independent research and participate in projects that (1) perform bone tissue type specific pQTL, methylationQTL and eQTL analyses in human bone biopsies samples with proteomics, whole genome seq, whole genome bisulfate seq and RNA-seq (2) perform fine-mapping of the musculoskeletal traits using whole genome sequencing data from the NHLBI TOPMed Project and UK Biobank; (3) perform functional annotation to identify function roles of associated variants and their targeted genes using in-house functional genomics and gene regulatory circuits data generated from human primary bone cell and muscle cell-specific 3D chromatin interaction data (for example, enhancer-promoter pairs); and (4) perform biological networks and systems biology approaches to study perturbation consequence of the musculoskeletal disorders associated genes.
• The fellow would be involved in developing the analytic tools, conducting the analysis, and preparing manuscripts. This an ideal opportunity for independent research using these state-of-the-art outcome measures under the mentorship of senior investigators.
• Strong interpersonal and communication skills are required as this person will interact with a large research team including senior scientists, data managers, and biostatisticians. An established publication record and excellent writing skills are preferable.
• The above covers the most significant responsibilities of the position. It does not, however, exclude other duties, which would be in conformity with the level of the position. Completes special projects as assigned.
Qualifications:
• PhD, ScD and/or MD in statistical genetics, quantitative genomics or computational biology with experiences in human genetic research
• Experience in biomedical studies relevant to musculoskeletal fields
• Experience in GWAS and NGS (WES/WGS) association studies
• Familiarity and involvement in use of large scale omics data, such as ENCODE, Roadmap Epigenomics Project, GTEX, eQTL datasets, Hi-C and RNA-seq data etc
• Familiarity in use of human genetic resources (browsers and datasets) such as 1,000G Project, UK10K, ESP Project, EXACT, UK Biobank, etc
• Experience using high-throughput data such as next generation sequencing, RNA sequencing, Chip-seq, DNAse-seq and/or Hi-C seq as well as experience using the ENCODE and Roadmap Epigenomics Project data, Experience using deep-learning machine learning algorithms
• Publication track record in peer-review journals
• Must be professional, proactive, collaborative, conscientious and results-oriented individual. Must have an optimistic and positive demeanor, excellent oral and written communication skills, good intuition and able to adapt to changing priorities and display good, sound judgment with a sense of humor.
• Superb organizational skills. Must have solid analytical skills. Must be creative and proactive yet disciplined, discriminating and able to streamline work volume in order to maintain bottom line efforts in midst of multi-tasking and daily re-prioritizing. Must have ability to innovate, think strategically and conceptually, manage multiple projects simultaneously and handle even difficult situations.
• Must be motivated to learn and flexible to change.
• Computer literacy required; experience with databases, Windows, Word, Excel, and databases.
Benefits of working as a Post-Doctoral Research Fellow in Roslindale, MA:
? Company offers great benefits
? Company offers career progression opportunities
? Attractive package
