2017-12-19  -  NGDx Bioinformatics Scientist  -    -  

We are seeking a highly motivated bioinformatics scientist to perform analysis of next-generation sequencing data from clinical trial samples. The successful candidate will work collaboratively with computational biologists and project managers and will: Analyze large-scale genomic (expression, copy number, mutation) datasets...  [More]

Originally posted on 2017-12-19

Lead the cardiovascular and metabolic disease area (CVM-DA) computational biology team. You will be responsible for driving shared global and local strategies to advance the understanding of CVM disease biology to enable target identification, drug development, and patient identification and stratification.  [More]

Originally posted on 2017-11-15
2017-11-06  -  Computational Chemical Biologist/CADD  -    -  

We are seeking a unique computational scientist to complement the team with the skills, experience and passion to extract new knowledge and disruptive insights from the large and rich body of data collected by the one of the world’s oldest pharmaceutical companies. Working with a wide variety of multi-disciplinary scientists... [More]

Originally posted on 2017-11-07
2017-11-04  -  Data Scientist/Bioinformatician  -    -  

We are seeking an agile, creative, and highly self-motivated data scientist to integrate genetic, phenotypic, and molecular profiling data for the discovery and development of new therapeutics. The successful candidate will work at the cutting edge of science and drug discovery to solve important scientific challenges in drug discovery.  [More]

Originally posted on 2017-11-04
2017-09-29  -  Sr. Principal Analyst, Scientific Information  -    -  

NIBR Informatics is looking for a degree-educated Senior Principal Analyst Scientific Information Systems with an understanding of biology, research data, and lab workflows, as well as excellent experience in software engineering and informatics, to join a multi-disciplinary Discovery Biology Informatics Group. Work location will be in Cambridge, MA.  [More]

Originally posted on 2017-09-30

The Biologics Center (NBC) at the Novartis Institute for BioMedical Research (NIBR) is looking for a motivated and highly experienced computational biologist to join the NBC Informatics group. The candidate: will have the opportunity to contribute to the discovery and improvement of therapeutic antibodies and proteins; will assist experimental scientists across the organization in analyzing data, such as protein array, next generation sequencing and RNA-seq data for the advancement of therapeutic antibody projects.  [More]

Originally posted on 2017-09-13
2017-09-08  -  Bioinformatics Scientist  -    -  

We are seeking a bioinformatics scientist to join the Exploratory Immuno-Oncology (IO) group in NIBR to help us develop and deliver cutting edge cancer therapies to benefit patients. The bioinformatics scientist position plays a key role in facilitating collaborations between IO investigators and NIBR informatics groups. This [More]

Originally posted on 2017-09-08
2017-08-24  -  Senior Software Engineer  -    -  

We are seeking a software engineer to develop world-class solutions supporting our global pharmaceutical research efforts. Your work would directly accelerate research which brings new, life-saving products to the clinic. Prior experience developing scientific applications in a pharmaceutical or biotech environment is a plus.  [More]

Originally posted on 2017-08-24
2017-07-30  -  Bioinformatics Software Engineer  -    -  

We are seeking a software engineer to support the development of world-class solutions to support our research & translational efforts in NIBR Oncology. Your work would directly accelerate research which brings new, life-saving products to the clinic. Prior experience developing scientific applications in a pharmaceutical or biotech environment is a plus. [More]

Originally posted on 2017-07-30
2017-07-29  -  Data Scientist – Scientific Data Analysis  -    -  

As a member of the Scientific Data Analysis team, you will explore and develop machine learning and other advanced analysis approaches for drug discovery applications. You will identify tractable machine learning problems in all stages of drug discovery from understanding basic disease biology, to target identification, assay development, safety, and patient stratification.  [More]

Originally posted on 2017-07-29