Computational Biologist

Job ID:
Job date: 2017-11-06
End Date:

Company : Day Zero Diagnostics 

Country :

Role : Other 


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Job Description:
As a computational biologist, you will be responsible for managing and developing genomic data analysis tools. Candidates will gain experience in a multidisciplinary and fast-paced start-up environment, and will have ample opportunities to acquire new skills, work closely with an accomplished team, and communicate results through patents, conference presentations, and peer-reviewed publications while working in a supportive and energetic environment.

Job Duties:

Under the direction of a senior scientist, the applicant independently carries out software development tasks, including:

  • Develop cloud-deployable machine learning and data analysis methods
  • Develop epidemiological tools for bacterial genome sequences
  • Develop pipelines to process large volumes of genomic data
  • Maintain organized, tested code and corresponding documentation
  • Present data within and outside of the company at meetings and symposia
  • Write, edit, and submit manuscripts/abstracts/grants detailing the results of the project
  • Work closely within the group and with outside collaborators
  • Maintain close communications with the team regarding progress
Qualifications:
  • PhD with relevant experience in computational biology or bioinformatics
  • Fluency in Python, and Linux; familiarity with SQL and git
  • Familiarity with NGS data; familiarity with bioinformatics tools (alignment, variant calling, assembly, annotation); familiarity with ONT MinION data helpful but not necessary
  • TensorFlow, C, and GPU experience helpful but not necessary
  • Highly motivated and independent, with the ability to work in a dynamic team environment
  • Strong oral and written communications skills
  • Excellent organizational skills and attention to detail
  • Flexibility to occasionally work evenings or weekends
Minimum degree and field of knowledge: PhD

Years experience required: 0-2 years of experience


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Additional Info:
Day Zero Diagnostics is a machine learning based genomics start-up in Boston that is seeking to recruit a highly motivated computational biologist to join our team. At Day Zero Diagnostics we are modernizing the way infectious diseases are diagnosed and treated by developing a rapid diagnostic that sequences the genomes of pathogenic bacteria, and then uses machine learning methods to identify the cause of the clinical infection. We value intellectual curiosity and a strong work ethic.

Website: https://www.dayzerodiagnostics.com/

Job Location: Harvard Innovation Lab (125 Western Ave, Boston, MA)

Salary Range: Depending on experience

Benefits: Includes health insurance (Blue Cross Blue Shield MA)

Start Date: ASAP

About Our Organization:

The growth of antimicrobial resistance is creating a crisis in public health. Patients with a severe infection experience an increase in mortality risk measured in hours, but the current gold standard diagnostic for antibiotic susceptibility, which grows bacterial cultures on a petri dish, can take 2-5 days or longer. Day Zero Diagnostics is developing a rapid, sequencing-based diagnostic that identifies, within hours, both the species and the antibiotic resistance profile of a bacterial infection. Day Zero Diagnostics was founded in May of 2016. We are located at the Harvard Life Lab and Harvard iLab, and also have a strong collaboration with the lab of Dr. Doug Kwon at the Ragon Institute of MGH, MIT.

Application information: The position is open immediately although the start date is flexible. Please submit an application to our website, https://www.dayzerodiagnostics.com/#careers. Unfortunately, due to the number of applications we receive, we may not be able to reply individually to all inquiries. All applicants, including those from abroad, must be able to come to Boston, MA USA for an in person interview.

The above job description details the major duties and qualifications of the listed position. The employee hired to this position confirms that he/she is able to perform all duties outlined. Although the specific duties and responsibilities of this position may vary slightly, the supervisor of this position will ensure that the employee hired to this position is trained and qualified to complete each task assigned. If the duties or responsibilities of this position need to change significantly, then the supervisor must submit an updated job description to the Office Manager for review.

Job Type: Full-time

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