JOB OPPORTUNITIES

Open Positions

Postdoctoral Research Fellowship

The Spracklen Lab invites applications for postdoctoral fellowships in genetic epidemiology, statistical genetics, or related fields, especially with an interest in cardiometabolic traits and diseases. By using genetics, we aim to understand the biology that underlies susceptibility to complex cardiometabolic traits. My group leads large-scale genetic studies to understand the biology that underlies susceptibility to complex diseases and traits, including type 2 diabetes and related traits, lipids, anthropometric traits, and many others. Postdoctoral fellowships may focus on understanding the genetic basis of one or more of these diseases and traits, with an emphasis on non-European populations.

The successful candidate will be supervised by Dr. Cassandra Spracklen. They will have the opportunity to work with a large portfolio of data collections with high-density genotyping data, genome-wide and exome array data, and whole genome-sequencing, with which to develop their own research projects. Candidates will also have the opportunity to participate in international collaborations (e.g. TOPMed, GIANT, others).

The ideal candidate should have a doctoral degree in Epidemiology, Biostatistics, Human Genetics, Computer Science, or other relevant discipline, and have demonstrated scientific productivity. Preferred applicants will also have a strong computational background, expertise with statistical genetic/bioinformatic software packages with application to genomic data sets, familiarity with approaches to integrate biological information from a wide-range of data resources, and an interest in cardiometabolic trait genetics.

You will be based in the Department of Biostatistics and Epidemiology at the flagship University of Massachuestts campus in Amherst, MA. UMass is an affirmative action/equal opportunity employer with a strong emphasis on work-life balance. Women and/or minorities are strongly encouraged to apply.

TO APPLY

Please send a CV and cover letter to Cassandra Spracklen.

  • EMAIL: cspracklen[at]umass.edu

Applicant review is ongoing and will continue until positions are filled.

Prospective or current graduate students

Interested in working with Dr. Spracklen? Contact her to discuss possible projects and research positions.

  • EMAIL: cspracklen[at]umass.edu

TO APPLY

Please send a CV and cover letter to Cassandra Spracklen.

  • EMAIL: cspracklen[at]umass.edu

Applicant review is ongoing and will continue until positions are filled.

Research Assistant/Associate

The Spracklen Lab invites applications for a research assistant or associate in genetic epidemiology, statistical genetics, or related fields, especially with an interest in cardiometabolic traits and diseases. By using genetics, we aim to understand the biology that underlies susceptibility to complex cardiometabolic traits. My group leads large-scale genetic studies to understand the biology that underlies susceptibility to complex diseases and traits, including type 2 diabetes and related traits, lipids, anthropometric traits, and many others. Research assistant/associate may focus on understanding the genetic basis of one or more of these diseases and traits, with an emphasis on non-European populations.

 

The successful candidate will be supervised by Dr. Cassandra Spracklen. They will have the opportunity to work with a large portfolio of data collections with high-density genotyping data, genome-wide and exome array data, and whole genome-sequencing, with which to develop their own research projects. Candidates will also have the opportunity to participate in international collaborations (e.g. TOPMed, GIANT, others).

 

The ideal candidate should have a masters (research assistant) or doctoral (research associate) degree in Epidemiology, Biostatistics, Human Genetics, Computer Science, or other relevant discipline, and have demonstrated scientific productivity. In addition, the research assistant/associate should be able to mentor other staff/trainees in data analysis and interpretation, preparation of manuscripts and funding proposals, and have strong oral and written communication skills. Preferred applicants will also have a strong computational background, expertise with statistical genetic/bioinformatic software packages with application to genomic data sets, familiarity with approaches to integrate biological information from a wide-range of data resources, and an interest in cardiometabolic trait genetics. To qualify, applicants must be legally authorized to work in the United States and should not require, now or in the future, sponsorship for employment visa status.

 

You will be based in the Department of Biostatistics and Epidemiology at the flagship University of Massachuestts campus in Amherst, MA. UMass is an affirmative action/equal opportunity employer with a strong emphasis on work-life balance. Women and/or minorities are strongly encouraged to apply.