Bioinformatician, Targeted Protein Degradation

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Date: Jan 19, 2019

Location: Boston, Massachusetts, US

 

Bioinformatician, Targeted Protein Degradation

Bedford, MA

 

The Organization:

UCB is a fast-moving global biopharmaceutical company focused on the discovery and development of innovative medicines and solutions to transform the lives of people living with severe diseases affecting the immune and central nervous systems.

 

With more than 7,700 people in approximately 40 countries, the company generated revenue of € 4.2 billion in 2016. UCB invests more than 25% of revenue in cutting-edge scientific research with the objective of solving unmet patient needs. We have a passionate, long-term commitment to the discovery and development of innovative medicines that transform the lives of people with severe diseases. At UCB everything we do starts with a simple question: “How will this make a difference to the lives of people living with severe diseases?” We do that by connecting with patients and their families around the world living with the physical and social burdens of severe disease of the immune system and the central nervous system. Those connections offer new perspectives, drive innovation, and offer the hope of a new generation of therapies that will help to transform lives.  

 

The Bioinformatician will support the establishment and the operation of a targeted protein degradation unit through the analysis and interpretation of multimodal data. 

 

The job spans collection and management of data, development of analytical methods and application of advanced data analytics across a wide range of modalities, including genetics, gene expression, proteomics, high content screening and structural data as required to support early stage drug discovery activities in a targeted protein degradation modality.  Biological interpretation and communication of results in drug discovery project teams are an integral part of the scope. The role will be supported by an international team of bioinformaticians, data scientists, IT, and drug design experts

 

Primary Responsibilities of the Position:

  • Provide support and guidance (leadership where relevant) to new target identification, target validation, screening data analysis, etc. through the functional interpretation of omics data.
  • Prepare, process and interpret data from omics and other high dimensional modalities.
  • Develop approaches to utilize state of the art tools and technologies, or develop new methods where appropriate, to enable the above.
  • Accountability for achieving project milestones and delivering on objectives.
  • Drive scientific excellence and technology evaluations to maximize impact on the program and projects.
  • Provide strong scientific thinking, develop hypotheses and drive scientific learnings on projects.
  • Ensure impactful project contributions through effective internal and external collaboration.

 

Education and Experience:

Essential Requirements

  • 5-7 years of applicable experience, with excellent scientific track record. 
  • A solid understanding of statistics, data mining, and visualization of biological data types and the standard tools used in these domains. Experience of pre-processing, integration and analysis of multidimensional data (e.g. gene expression, SNP, metabolomic, epigenetic data, etc.).
  • Expertise in methods pertinent for functional interpretation of biological data such as pathway enrichment, functional module detection, causal reasoning, etc.
  • Knowledge of public data sources and expertise in leveraging available external data to answer specific drug discovery questions.
  • Ability to interpret results based on biomedical knowledge and to communicate conclusions and hypothesis to drug discovery scientists.
  • Ability to discuss experimental design from a data perspective to optimize chances to obtain actionable results
  • Excellent communication skills, ability to work independently but also to leverage expertise within the larger organization as required

 


Job Segment: Genetics, Biotech, Data Analyst, Data Mining, Science, Research, Data, Technology

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