Post-Doctoral Bioinformatics Scientist - Gaithersburg, MD | Biospace
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Post-Doctoral Bioinformatics Scientist

MedImmune, LLC

Gaithersburg, MD
Posted Date:
Position Type:
Full time
Job Code:
Required Education:
Masters Degree
Areas of Expertise Desired:

Job Description

Gaithersburg, Maryland, United States
Job reference: R-008497
Posted date: Jun. 02, 2017

If you’re inspired by the possibilities of science to change lives and you thrive when making brave decisions – join us.

MedImmune is the worldwide biologics research and development arm of AstraZeneca. Here, you’ll have the opportunity to make a difference in people’s lives every day. As one of the world’s premier biotechnology companies, our mission is centered on delivering life-changing products that advance world health, and help fight and cure disease.  As a Post-Doctoral Bioinformatics Scientist in Gaithersburg, MD, you’ll play a pivotal role in channeling our scientific capabilities to make a positive impact on changing patients’ lives.

We’re constantly pushing the boundaries of science to deliver life-changing medicines to patients, with a passion for discovery and a pipeline to show for it. We’re pioneering innovative research and exploring novel pathways across key therapeutic areas including oncology, respiratory, inflammation and autoimmunity, cardiovascular and metabolic disease, and infection and vaccines. And we’re industry-leading in immunology, protein engineering and translational science. We offer a unique and strong collaborative network as part of the AstraZeneca family, as together we explore synergies between small and large molecules.

MedImmune has a dynamic environment that fosters collaboration and innovation. We attract top minds, and we nurture and build top talent.

Main Duties and Responsibilities

The Post-Doctoral Scientist will work with MedImmune scientist to advance scientific knowledge through the use and development of Bioinformatics tools and approaches for proteomics, and applying that knowledge to drug development programs and innovative Research Science. This scientifically passionate individual will apply their experience in the analysis, collection, mining and integration of multiple -omics data sets including proteomics, metabolomics, genomics, transcriptomics, flow cytometry, and microRNA using bioinformatics and system biology approaches to advance our understanding of biological pathways, networks, and genetic interactions.  The candidate will have a strong background in analyzing quantitative MS-based proteomics toward target and biomarker discovery and validation.  The successful candidate will support drug development projects and programs and work closely with both therapeutic area scientists and core informatics scientists to establish technologies that accelerate MedImmune’s biologics drug development initiatives.

This role will have the opportunity to engage with strategic investments in the areas of target identification, big data, -omics technologies, predictive science, precision healthcare, and the use of patient information in biopharmaceutical R&D. The successful candidate, working with members of the bioinformatics team, will be responsible the delivery novel tools, and methods to manage MedImmune’s proteomics and metabolomics efforts. This role resides within R&D, and will work collaboratively within Research Bioinformatics and across therapeutic area teams to design, develop, and implement tools, systems, and methods to advance our understanding of diseases and our biological therapeutics.

Major Duties and Responsibilities

  • Perform expert informatics research, including establishment of scientific hypotheses that can be approached using computational methods and tools.
  • Be an active embedded participant in research functions, executing bioinformatics projects and analyses to support biopharmaceutical projects both as directed and as opportunities present themselves.
  • Support biopharmaceutical data mining activities through the design and delivery of novel tools and techniques.
  • Provide technical support on the design and implementation of large-scale databases of proteomics, metabolomics, genomics and other datasets in conjunction with R&D Information Systems and external partners.
  • Work with external and internal collaborators to examine, transfer, and index data towards development of automated data processing pipelines.
  • Provide training and advice to project scientists on optimal use of key data, analysis platforms and the appropriate use of biostatistics.
  • Actively contribute to the establishment of the proteomics/metabolomics body of knowledge and technology “toolbox” that is broadly applied to R&D scientific questions. Assist and support the core informatics team with integration of R&D informatics systems to maximize speed to the clinic.
  • Represent Research Bioinformatics department at scientific conferences and talks, and prepare manuscripts for publication in peer reviewed journals to advance scientific knowledge.
  • Work effectively with external experts or collaborative groups promoting optimal use of informatics, scientific analysis, data utilization, information and knowledge.

Education, Qualifications, Skills and Experience


Education:  Advanced degree (Ph.D. or equivalent experience preferred) in Bioinformatics, Computational Biology, Systems Biology, Immunology or related field.  

Essential Skills & Experience:

  • Completion of an accredited doctoral program.
  • Demonstrated understanding in the methods of protein identification and quantitation by mass spectrometry, and proficiency in different statistical models, MS bioinformatics software such as MaxQuant, MASCOT, SEQUEST, MSGF and others for peptide/protein identification and quantitation, and cellular localization, function, and pathway analysis tools such as IPA, Pathway Studio, cytoscape, GSEA, GO, TMHMM, and SignalP.
  • Solid knowledge of informatics tools and visualization/data mining packages (e.g. R/Shiny, Spotfire, ArrayStudio, genome visualization packages/browsers) and aptitude for adapting to complex new analysis packages and using them to their full potential.
  • Proficiency in common programming/scripting languages (e.g. R, Python, SQL, JAVA, Perl) and their application in biomedical research.
  • First-hand experience in the analysis and interpretation of large, complex datasets. Familiarity with multiple R&D data types, especially as they relate to proteomics/metabolomics research.
  • Proven capacity to communicate effectively with technical and scientific colleagues alike, in formal presentations and small group meetings.
  • Excellent written and oral communication skills.


  • 1-3 years of post-doctoral experience 
  • Proven track record of publishing relevant bioinformatics or systems biology results in peer-reviewed journals.
  • Proficiency in Biostatistics.
  • Experience developing rich visualizations for complex scientific data sets.
  • Familiar with machine learning, NoSQL, knowledge capture and other innovations in predictive analytics and data-driven discovery.
  • Demonstrated scientific knowledge of cell biology, molecular biology, or immunology, especially as it relates to biomedical research and development (targeted therapies, immunotherapies and stem cell therapies).

Next Steps – Apply today!

To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity.  If you know someone who would be a great fit, please share this posting with them.

AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.