In Silico Immunology Positions

Hi All,



I have a few open positions within the *In Silico* Immunology team at J&J.



1.       Research Scientist - opportunity for an informatician to work
alongside scientists and impact pipeline decisions in the Immunology
Therapeutic Area (6507110428).

2.       2011 Pharmaceutical R&D Internship - mine and analyze molecular
interaction data (000001FR).

3.       2011 Pharmaceutical R&D Internship -  identify and evaluate novel
approaches for target selection (000001FR).


It would be wonderful if you could share information about these positions
with your network.



Please let me know if you are interested in applying for the positions, and
formally apply on the J&J Career Web site (http://careers.jnj.com).

Cheers,

Susie





*RESEARCH SCIENTIST In Silico Immunology-6507110428*

Johnson & Johnson Pharmaceutical Research & Development L.L.C., a member of
Johnson and Johnson's family of companies, is recruiting for a Research
Scientist for Molecular Profiling, located in Radnor, PA.



Johnson & Johnson Pharmaceutical Research & Development, L.L.C. develops
treatments that improve the health and lifestyles of people worldwide. Research
and development areas encompass novel targets in neurologic disorders,
gastroenterology, oncology, infectious disease, diabetes, hematology,
metabolic disorders, immunologic disorders, and reproductive medicine.



This position is with the *In Silico* Immunology team and requires a highly
motivated and skilled Research Scientist to assist in the development of
innovative therapies for immune diseases such as rheumatoid arthritis,
psoriasis, asthma, COPD and inflammatory bowel disease.



This position requires the Research Scientist to accelerate time to market
of differentiated medicines for immunology through the use of informatics in
driving innovation and enabling effective decision making. The successful
candidate will work alongside scientists in discovery, biomarkers and
clinical to design experiments, analyze and interpret data, and effectively
communicate results. Data analysis will focus on determining the
identification of prediction biomarker for patient stratification, the
efficacy and safety of compounds, impacting dose decisions, selecting novel
indication for targets and compounds and the biological interpretation of
results. The successful candidate will represent the department on
cross-functional disease focused teams.



The Research Scientist will be encouraged to publish, develop and maintain a
strong professional network within the internal and external scientific
communities.



The successful candidate will have at a minimum a Masters degree in
Statistics, Computational Biology, Bioinformatics, Immunology, Biochemistry,
Molecular Biology, Pharmacology, Epidemiology, or related field with 5 years
of academic and/or industry experience.  A Doctor of Philosophy degree in
Statistics, Computational Biology, Bioinformatics, Immunology, Biochemistry,
Molecular Biology, Pharmacology, Epidemiology, or related field is
preferred. The ability to apply data mining, machine learning, and emergent
algorithms to pre-clinical, clinical and health outcomes data is required.
Experience in network analysis and/or modeling biological pathways is
required. Experience in handling exploratory data such as microarrays is
required, protein arrays, ELISA, MS or NGS is highly desired. Proficiency in
software such as R, MATLAB, SAS, S-PLUS, Omicsoft, Cytoscape is desired. A
strong publication track record is desired. The ability to build effective
and trusted partnerships with internal and external scientists is
essential.  This position is located in Radnor, PA.





*2011 PHARMACEUTICAL R&D INTERNSHIP in In Silico Immunology - 000001FR*

* *

Johnson & Johnson Pharmaceutical Research & Development L.L.C., a member of
Johnson and Johnson's family of companies, is recruiting for a Research
Scientist for a 2011 Pharmaceutical R&D Internship, located in Radnor, PA.



Johnson & Johnson Pharmaceutical Research & Development, L.L.C. develops
treatments that improve the health and lifestyles of people worldwide.
Research and development areas encompass novel targets in neurologic
disorders, gastroenterology, oncology, infectious disease, diabetes,
hematology, metabolic disorders, immunologic disorders, and reproductive
medicine.



This position requires the intern to mine and analyze molecular interaction
data that originates from external collaborations and/or internal text
mining efforts to provide input that aids the identification of targets and
target combinations. Compare and contrast open source and commercially
available pathway/network analysis tools. The position will expose the
student to drug discovery and development, and will enable the individual to
become familiar with a range of pathway analysis tools.

The successful candidate will be a graduate student in Computer Engineering
or Bioengineering, with strong computational skills and biology background.
Knowledge in pathway/network analysis is required, and text mining is a
plus.





*2011 PHARMACEUTICAL R&D INTERNSHIP in In Silico Immunology - 000001FR*



Johnson & Johnson Pharmaceutical Research & Development L.L.C., a member of
Johnson and Johnson's family of companies, is recruiting for a 2011
Pharmaceutical R&D Internship, located in Radnor, PA.



Johnson & Johnson Pharmaceutical Research & Development, L.L.C. develops
treatments that improve the health and lifestyles of people worldwide.
Research and development areas encompass novel targets in neurologic
disorders, gastroenterology, oncology, infectious disease, diabetes,
hematology, metabolic disorders, immunologic disorders, and reproductive
medicine.



The position requires the intern to undertake a literature review to
identify innovative approaches to identify novel targets associated with
human diseases, identify leading approaches that are able to go from
hypothesis to validation using *in silico*, *in vitro* and *in
vivo*experiments, and undertake initial work internally to determine
the value of
the recommended approaches and assess the feasibility of implementation.

The successful candidate will be a graduate student in Computational Biology
or Cheminformatics with strong biology background.









* *