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At KSQ Therapeutics, we are always looking for strong leaders to join our team.
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To be able to manage our flow of candidates we do not accept unsolicited resumes from any source other than directly from the candidates for current or future positions. Submission of unsolicited referrals and/or resumes in advance of a signed agreement between KSQ and the recruiter are deemed gratuitous and KSQ will not be obligated or bound in any way to pay any referral or other fees if such person is hired. Thank you in advance for your adherence to our process. For any hiring needs, please contact us.

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Scientist / Senior Scientist, Computational Biology

About KSQ Therapeutics

KSQ Therapeutics has built an industry-leading genome-scale precision functional genomics platform, called CRISPRomics, to pinpoint therapeutic nodes that directly correlate genomic function to disease with unprecedented certainty and speed. The company is deploying CRISPRomics for novel drug development across broad therapeutic areas and is advancing a proprietary pipeline of tumor- and immune-focused drug candidates for oncology. KSQ was founded by thought leaders in the field of functional genomics and pioneers of CRISPR screening technologies. The company is located in Kendall Square in Cambridge, Massachusetts.


Position Summary

We are seeking an exceptional and highly motivated Scientist/Senior Scientist to join the Computational Biology Group in a highly-collaborative multidisciplinary environment. The successful candidate will be a key team member driving computational analyses aimed at the development of novel first-in-class therapeutics. S/he will focus on deriving biological insights and testable hypotheses from in vitro and in vivo CRISPR screens, RNA-seq, single-cell RNA-seq, and other genome-wide profiling technologies.

Responsibilities

•Analyze and communicate results from genomics experiments

•Work closely with colleagues and collaborators to design and interpret experiments

•Integrate internal and external datasets

•Apply or develop tools for analysis of large datasets

Requirements

  • M.S. with 4+ years experience or Ph.D. in Computational Biology, Bioinformatics, Statistics, Biology, Genetics, or other quantitative field
  • A background in biology or immunology is preferable, but well-qualified applicants will be considered from backgrounds including Engineering and Physics
  • Commitment to quality, attention to detail, and team player mentality is a must.
  • Candidates should have outstanding academic records with a demonstrated history of analyzing genomics data
  • Experience with statistics, Bayesian statistics, machine learning, or AI
  • Strong coding skills, fluency in R or Python data analysis environment
  • Experience analyzing single-cell RNA-seq or human genetics/biobank data is a strong plus
  • Experience with cloud computing is highly desirable

Benefits

A competitive overall compensation package including: competitive base salary, bonus potential and stock options.

Apply Now!