Careers

At KSQ Therapeutics, we are always looking for strong leaders to join our team.
Contact us about current job opportunities.

A NOTE TO RECRUITERS

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, pleaseĀ contact us.

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Senior Scientist, Computational Biology

We are seeking an exceptional and highly motivated Computational Biologist to work on several projects focused on high-throughput CRISPR in vitro and in vivo screens, drug target identification and validation. The key objective will be transforming data into meaningful biological insights. This position will offer an exciting opportunity to develop new methods for the integrative analysis of genomic and functional data. The successful candidate will be a key team member driving computational analyses aimed at the development of novel therapeutics.

Requirements

  • Ph.D. in Computational Biology, Bioinformatics, Computer Science or related field.
  • Candidate should have a track record of scientific achievements with a demonstrated history of algorithms development and getting insights from complex biological data.
  • Strong coding skills required, fluency in R and one of the scripting languages preferred.
  • Experience with cloud computing is highly desirable.
  • Experience with genomic data analysis is a strong plus.
  • A strong knowledge in biology is highly preferred
  • Commitment to quality, attention to detail, and team player mentality is a must.
  • Mining large-scale functional genomics screening data generated by KSQ biologists
  • Collaborating closely with Target Discovery, Target Validation and Immuno-Oncology teams on experiments design and data analysis.
  • Integrating internal and external datasets.
  • Identification of genomic features associated with cellular phenotypes of interest.
  • Presenting and communicating findings to the team.

Benefits

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

Apply Now!