Bioinformatics postdoc

Postdoctoral Position in Brood Parasite Genomics

We are hiring a postdoctoral fellow to work on comparative and population genomics of brood parasitic birds. The successful candidate will use multiple, newly generated, high quality genome assemblies and population resequencing data to understand the genomic basis of convergent evolution in avian brood parasite phenotypes across multiple time scales and potential consequence for the dynamics of sex chromosome evolution. This is an NSF-funded position, to be jointly mentored by Michael Sorenson at Boston University and Tim Sackton at Harvard University. The postdoctoral fellow will also have extensive opportunity to interact with collaborators, including Chris Balakrishnan (East Carolina University), Wes Warren (University of Missouri), and Jeff DaCosta (Boston College). Funding is available for up to 2 years, with the second year contingent on successful performance.

Qualifications

The preferred candidate will have a PhD in evolutionary biology, genomics, population genetics, or a related field, with a demonstrated record of research achievement (via publications or preprints).

They will also be proficient with programming in a scripted language (e.g. R, Python, or Perl).

Experience will shell scripting and computing cluster environments and/or experience working with whole genome datasets in population or comparative genomics will be beneficial, but is not required.

Working Environment

The successful candidate will split their time between Tim Sackton's Bioinformatics group at Harvard and the Sorenson lab at Boston University. The exact logistics are flexible and will depend on the candidates interests and experience, but in any case the postdoctoral associate will have an opportunity to gain experience and training in bioinformatics, population genetics, comparative genomics, and ornithology. The combined experience of our groups spans a wide range of topics and provides an outstanding opportunity for training, collaboration, and scientific growth. The larger scientific environment in Boston is unparalleled and provides numerous opportunities for engagement, including the Boston Area Evolutionary Supergroup and numerous seminar series and journal clubs. Contact Preferred start date would be early 2019, but there is flexibility around this. To apply, please send a CV and cover letter describing interest and previous experience to Tim Sackton and Michael Sorenson.

We are committed to diversity and especially encourage members of underrepresented communities to apply.


Informatics Developer

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The Faculty of Arts and Sciences Informatics department at Harvard University is looking for a software developer to join a newly formed Informatics Operations team. Reporting to the Director of Informatics Operations the position's responsibilities will include:

  • Development of server-side data management and analysis applications in support of the FAS core facilities;
  • Working closely with other members of the Bioinformatics and Research Computing teams to enable high-throughput data analysis for faculty research;
  • Other duties and responsibilities as assigned.

The Informatics group lies at the interface between Harvard's research groups and the large (60,000 core, 15Pb) FAS Research Computing cluster. Our remit involves working on individual research topics (sometimes with embedded post-docs within the group ) through enabling large-scale and automated analysis of instrument data. Our main goal is to enhance Harvard's scientific output by decreasing data analysis turnaround-time and assisting researchers with harnessing the power of the FAS Research Computing cluster.

Basic Qualifications

Bachelor's degree in computer science or related field and a minimum of 2 years’ experience in web/command line application development and design required. Experience with Python command line and web application development in a Linux environment is needed with an emphasis on Django / Flask, MySQL and Javascript.

Additional Qualifications

Previous experience in building web-based systems in a laboratory or research environment is a plus. Must be customer oriented, have strong communication skills - both verbal and written; especially with respect to relaying complex computation information to others. Ability to interact well with a broad& constituency including students, postdoctoral fellows, faculty, and research staff.


Bioinformatician

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The Faculty of Arts and Sciences Informatics department at Harvard University, in collaboration with the Dulac lab in the Department of Molecular and Cellular Biology, is looking for a bioinformatician for genomics analysis, with a focus on single cell RNA-seq analysis. This position will be 100% dedicated to ongoing, NIH-funded projects in the Dulac lab to catalog and understand the diversity and function of cell types in the mouse brain using single-cell RNA-seq and other cutting edge techniques. This is an exciting opportunity to be a key member of an interdisciplinary team that will revolutionize our understanding of the way brains function.

Based within the Informatics group at Harvard, the successful candidate will:

  • Work closely with Dulac lab graduate students, postdocs, and collaborators to derive novel biological insights from large scale RNA-seq data
  • Lead bioinformatics efforts to analyze novel single-cell RNA-seq datasets
  • Use statistical methods to uncover neural circuits underlying survival functions in the mouse brain

The successful candidate will be someone with a strong background in RNA-seq analysis, bioinformatics, and statistics, but no background in neuroscience is required or expected. Candidates who are curious and willing to learn will have numerous opportunities to do so.

Basic Qualifications

Masters degree or higher in bioinformatics, computer science, genomics, or a related field, with at least 5 years hands-on experience with bioinformatics methods Expertise in programming languages commonly used in bioinformatics (such as Python or R)

Additional Qualifications

PhD in a relevant field is strongly preferred Expertise in the analysis of RNA-seq data, prior experience with single-cell RNA-seq data preferred Fluency with Linux shell scripting and high performance computing

Additional Information

This is a five-year term position contingent upon continued grant funding and satisfactory performance.

We are committed to diversity and especially encourage members of underrepresented communities to apply.