Full-Time Computational Analyst / Bioinformatician @ Cambridge, MA, U.S.
The Division of Hematology/Oncology at Boston Children’s Hospital and the Department of Pediatric Oncology at the Dana-Farber Cancer Institute are currently seeking applications from exceptional candidates for the position of:
Computational Analyst / Bioinformatician
The exact position is flexible and is available at either the Post-Doctoral Fellow or Staff Scientist level. This position is based both at Boston Children’s Hospital in Boston, MA and at The Broad Institute in Cambridge, MA in the lab of Dr. Vijay Sankaran (www.bloodgenes.org). A successful applicant will work closely with both wet- and dry-lab scientists to elucidate the genetic and epigenetic underpinnings of blood cell production and its associated disorders. She or he will be involved in analyzing various high-throughput sequencing data, applying basic and advanced statistical methods including modern machine learning techniques, communicating the results of these analysis clearly, and drafting manuscripts and grants of finished research projects. Multiple opportunities will be available for a successful candidate to lead independent research projects that can be either applied or methodological in nature. Importantly, a successful candidate will be surrounded by friendly and extraordinary colleagues and mentors at the “world’s most innovative intersection”: http://bit.ly/1iyrx8T
- MS or PhD in a computational science such as Mathematics, Computational Biology, Computer Science, Statistics or related field. Highly motivated candidates with a BS in a similar field will also be considered.
- An understanding of basic biology with an emphasis on genetics and transcriptional regulation.
- A mastery of basic statistics (e.g. hypothesis testing, linear regression, non-parametric approaches, etc.) and either experience with or willingness to learn advanced statistical and machine learning techniques (e.g. variable selection by Lasso, clustering techniques, etc.).
- Demonstrated proficiency in either R or Python and familiarity with Unix and the command line. Ability to program in languages such as Java, C++, or Perl is a plus.
- Preference will be given to candidates with experience analyzing at least some of the following types of high-throughput data: SNP arrays, exome sequencing, RNA-seq, ChIP-seq, Ribosome Profiling, and CLIP-seq.
- A successful candidate will most importantly be highly self-motivated, demonstrate excellent interpersonal and communication skills, be organized and detail oriented, have an eagerness to learn and apply new techniques, and work well in a collaborative environment.
How to ApplyIf interested, please email julirsch AT broadinstitute DOT org and CC sankaran AT broadinstitute DOT org and attach the following:
- A cover letter
- Curriculum Vitae / Resumé
- A list of three references (references will only be contacted after speaking with the candidate)