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Senior Scientist, Computational Biology

Celsius Therapeutics
Cambridge, Massachusetts, US
Closing date
Dec 14, 2022

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Consultancy/Private Sector
Informatics / GIS
Statistics, Biology
Salary Type
Employment Type
Full time
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Job Description Senior Scientist, Computational Biology

Celsius Therapeutics is a biotechnology company developing novel precision medicines autoimmune disease and cancer by harnessing the power of single cell RNA sequencing and human biology at scale. We are a community of scientists and business professionals aspiring to develop life-changing precision medicines. Our common goal is to markedly improve human health by integrating data, experience and insight. Our environment is rigorous, fast-paced and collaborative, bringing together passionate individuals who are making an impact. We inspire creativity and discovery by embracing an open culture that fosters innovation, teamwork, and excellence. The company's first therapeutic candidate is an anti-TREM1 antibody for the treatment of inflammatory bowel disease, and the company has multiple ongoing drug discovery programs in oncology.

We are seeking an innovative, collaborative and accomplished Computational Biologist / Data Scientist to join our Data Sciences platform team to work on a variety of genomics projects in the field of immuno-oncology and autoimmune diseases. The individual will work on internal and external datasets, including next generation single-cell sequencing data. A critical component of the job will be to develop innovative analysis strategies to generate focused hypotheses for identifying new therapeutic targets. The successful candidate will join an experienced and innovative team of scientists using cutting edge genomics techniques and single-cell sequencing to discover new therapeutic targets.

  • Generate meaningful biological hypotheses from genomics data
  • Partner with other biologists to identify new drug discovery targets
  • Apply and/or develop new data-mining techniques to integrate, interpret, and visualize large data-sets
  • Advise wet lab scientists and contribute to experimental study design in order to generate quality data
  • Participate in the development of a single-cell analysis and target identification platform

  • Ph.D. in a quantitative scientific field (e.g., Bioinformatics, Computer Science, Statistics, Computational Biology, Genomics, Genetics, Physics)
  • At least 5 years of experience in computational biology and genomics
  • Depth of background in cancer biology, single-cell genomics, or immunology
  • Strong scientific publication record
  • Proven ability to innovate, apply and develop new analytical strategies and tools to extract actionable insights from large genomic datasets
  • Extensive experience with data mining methods
  • Proficiency with Python, R, or other scripting language for statistical computing and graphics.
  • Experience with cloud computing is a plus
  • Attention to detail with the ability to view data at a summary level
  • Strong written, oral, and public speaking communication skills
  • Collaborative team player with desire to work cross functionally
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