Bioinformatics Scientist

Job ID: RS0458
Job date: 2018-05-08
End Date: 2018-07-07

Company : Harvard University 

Country : United Kingdom 

Role : Research Scientist 


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Job Description:
We seek a bioinformatician with extensive knowledge of bioinformatics algorithms, databases and analyses, and a focus on next-generation sequencing (NGS). This individual will provide downstream analysis for the core sequencing facility as well as interact with faculty, post-docs and students to help them arrive at the best analysis procedure for their data. Major responsibilities will include developing best practices and workflows for common bioinformatics tasks, keeping abreast of the latest developments in the field, and developing novel methods and pipelines to further the scientific needs of the Bioinformatics group and the larger Harvard FAS research community.

The individual will be expected to communicate their knowledge to the students and faculty through workshops, demonstrations and on-line tools. They will work together with other members of the group to develop and deliver teaching materials for cutting edge NGS analysis.

The Bioinformatics group lies at the intersection of scientific research and large scale computational analysis and works with many research groups. We seek someone who has a keen ability to acquire knowledge; and enjoys working on a wide variety of projects. These include a wide range of sequencing and -omics approaches, including RNA-seq analysis, population resequencing data, Chip-seq and related approaches, and de novo genome and transcriptome assembly. We are involved in a number of collaborations with faculty groups both in basic biological research and large scale data analysis. The successful candidate is encouraged to participate both in the writing and execution of grant proposals with faculty members.

The position reports directly to the Director of Bioinformatics.

Basic Qualifications:

  • A Master's or higher in Biology/Computer Science or a related scientific field and at least 5 years bioinformatics experience.
  • Experience with programming languages commonly used in bioinformatics such as Python or R, and experience with Linux shell scripting.
Additional Qualifications:
  • Ph.D. strongly preferred.
  • Expertise in population genetics using high throughput sequencing methods is preferred.
  • Expertise with combining a number of algorithms/methods in pipelines with source control management and testing.
  • Experience with scientific computing algorithms and statistical techniques with an emphasis on NGS and sequence analysis.
  • Experience with compiled languages such as C or Java, and/or with data visualization using R, Matlab, or Python.
  • Experience with large, computationally intensive problems, including using high performance computing clusters and job scheduling software.
  • Must have excellent written and verbal communication skills, including the ability to document methods and results clearly and concisely for tutorials and manuscripts
  • Must have ability to explain complex scientific and computational ideas to a wide range of scientists and researchers (such as graduate students, postdocs, and faculty), including those with little or no computational experience.
  • Must have the ability to work well with others and willingness to teach workshops for faculty, students, and postdocs.


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Additional Info:
All formal offers will be made by FAS Human Resources.

We regret that Harvard University does not provide visa sponsorship for this position.

Job Function: Research

Sub-Unit: -

Location: USA - MA - Cambridge

Department: Division of Science - Informatics & Scientific Applications

Time Status: Full-time

Union: 00 - Non Union, Exempt or Temporary

Salary Grade: 058

Pre-Employment Screening: Education, Identity

Schedule: Monday -Friday; 9 am - 5 pm

EEO Statement

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

[Click Here to Access the Original Job Post]