AVAILABLE POSITIONS


RESEARCH COORDINATOR II

The Psychiatric and Neurodevelopmental Genetics Unit (PNGU) in the MGH Center for Genomic Medicine (CGM) has an immediate opening for a Research Coordinator II to assist with a new set of projects exploring the use of shed primary teeth as novel biomarkers of exposure to stress and subsequent risk for mental health problems.

Working under the direction of Dr. Erin Dunn, candidates will gain valuable experience and knowledge working in all phases of the research process, ranging from project conceptualization, to study design, data analysis, and dissemination of results. Candidates with a MA degree of several years of research experience are preferred. The ideal candidate must exhibit excellent problem-solving skills, as well as a high level of expertise and comfort in facilitating objectives within a complex cross-functional project team that spans MGH clinics/departments and external sites. Opportunities for co-authorship of papers are available. To apply, please send a single email containing your CV and a brief statement describing your qualifications to Tannu Singh at tsingh6@mgh.harvard.edu.


DATA ANALYST I

The Psychiatric and Neurodevelopmental Genetics Unit (PNGU) in the MGH Center for Genomic Medicine (CGM) is seeking highly motivated and enthusiastic candidates with expertise/interests in epigenetics and statistics for a Data Analyst I position

Working under the direction of Dr. Erin Dunn, the Data Analyst will contribute to an innovative project funded by the NIMH that focuses on integrating longitudinal data with insights from genetics, epigenetics, and human development to examine the developmental causes and consequences of DNA methylation (DNAm) on risk for depression in adolescence and young adulthood. Responsibilities will involve working with genetic and phenotypic data from a 20-year longitudinal study to perform epigenome-wide association analyses (EWAS) and implement several methods, including causal mediation analysis, Mendelian Randomization, and machine learning approaches. Ideal applicants will have a strong research background with 1-2 years of experience in the field of epidemiology, epigenetics or genetics and knowledge of R, Unix, and related data analysis pipelines.


PostDoctoral Fellow

The Psychiatric and Neurodevelopmental Genetics Unit in the MGH Center for Genomic Medicine (CGM) is seeking highly motivated and enthusiastic candidates with expertise/interests in epigenetics for a post-doc opening to begin summer 2019.

Working under the mentorship of Dr. Erin Dunn, the post-doc’s responsibilities will involve working with genetic and phenotypic data from a 20-year longitudinal study to perform epigenome-wide association analyses (EWAS) and implement several methods, including: causal mediation analyses, Mendelian Randomization, and machine learning approaches. The post-doc will function as a high-level contributor, coordinator, and team member in this work, with numerous opportunities for interactions with investigators from across the world. To apply, please send a single email containing your CV and a brief statement describing your qualifications for this position to Dr. Erin Dunn at edunn2@mgh.harvard.edu.


MASTER’S OR DOCTORAL-LEVEL PART-TIME DATA ANALYST

The Psychiatric and Neurodevelopmental Genetics Unit (PNGU) in the MGH Center for Genomic Medicine (CGM) is seeking a highly motivated and enthusiastic master’s or doctoral-level part-time data analyst with expertise/interest in epigenetics to start immediately.  Working with a multidisciplinary team under the direction of Dr. Erin C. Dunn at MGH, the data analyst will be responsible for conducting data management and data analysis tasks for a study exploring the epigenetic pathways—and particularly DNA methylation (DNAm) changes—through which exposure to stress becomes biologically embedded during sensitive periods in development.

Candidates with backgrounds in multiple disciplines, including but not limited to epidemiology, genetics, and epigenetics are encouraged to apply.  Ideal applicants would have training in statistics or biostatistics and experience with R or SAS.  Experience working with large-scale epidemiological datasets is a plus, but not required. This is a highly unique opportunity for someone seeking an interdisciplinary experience to work with epigenetic, genetic, and rich phenotypic data while receiving outstanding team-based mentorship.  The position will begin immediately and could be extended based on interest. Opportunities for co-authorship of papers are available. To apply, please send a single email containing your CV and a brief statement describing your qualifications for this position to Tannu Singh at tsingh6@mgh.harvard.edu.


OTHER

We are always open to inquiries from individuals wishing to join the lab. In general, we are looking for people who have strong statistical skills and capacity to work with large epidemiological datasets. We are also open to working with those who have a good quantitative background, are highly motivated, and able to quickly learn new statistical techniques. Most importantly, we are looking for team players who are curious, interested in interdisciplinary approaches, and deeply passionate about finding ways to prevent mental illness. 

To apply, please send a single email containing your CV and a brief statement describing your qualifications to Tannu Singh at tsingh6@mgh.harvard.edu.