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Computational Scientist

Cambridge, MA, USA | Leading Pharmaceutical Company

  • Industry:
    Pharmaceutical / Biotech
  • Position Type:
  • Functions:
    Biotech/R&D/Science
  • Experience:
    5-7 years
Job Description:
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Your tasks and responsibilities

The primary responsibilities of this role, Computational Scientist, are to: 


Initiate highly innovative research projects in cardiovascular diseases or adjacent indications significantly contributing to milestone decisions

Identify new mechanisms, pathways and druggable targets for the development of novel, causative therapies or biomarkers using state-of-the-art computational biology / bioinformatics methods to analyze large and complex genomics and transcriptomics data sets;

Plan and execute analyses together with our strategic collaboration partner, the Broad Institute;

Develop, evaluate, implement, and apply novel bioinformatics methods oncomplex data sets; e.g. single cell RNA transcriptomics

Maintain interfaces to global R&D functions, e.g. Digital Technologies, ClinicalSciences, and IT functions;

Communicate and interact with interdisciplinary project teams;

Participate in scientific meetings and represent the Precision Cardiology Lab at internal and external meetings and conferences;

Who you are

Your success will be driven by your demonstration of our LIFE values.More specifically related to this position, Leading Pharmaceutical Company seeks an incumbent who possesses the following:


Required Qualifications:


Bachelor of Science Degree and at least 6 years of experience OR Master of Science Degree and at least 3 years of experience OR Ph.D. in Life Sciences (Bioinformatics, Chemistry, Biology, Physics, Informatics) with very strong computational focus;

Highly self-motivated, strives for scientific excellence;

Very strong analytical thinking and systematic approach;

Capability to present complex issues clearly and convincingly to project teams of diverse backgrounds or decision bodies;

Programming skills and experience with programming languages such as Python or R

Expertise in management of large data sets in the area of genetics and/or gene expression analysis;

Demonstrated ability to work in a team environment and the ability to adapt to the atmosphere of a dynamic research organization;

Able to build excellent working relationships, initiating new collaborative projects and an enthusiasm for taking a hands-on approach to collaborative scientific discovery efforts;

Must enjoy working in a fast paced, cutting-edge and challenging environment;

Ability and willingness to think creatively, to develop and adopt relevant emerging technologies and to challenge the status quo;

Excellent written and oral communication skills and a track record of relevant publications

Preferred Qualifications:


Initial experience in drug discovery/pharma;

Experience with cellular and/or animal modeling of cardiovascular disease biology;

Knowledge of computational biology and experience in computational pipelines for analyzing of large datasets, such as single cell transcriptomics;

Familiar with cloud computing and high performance computing;

Postdoctoral experience


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