Job Description:
We currently have multiple openings for skilled Computational Biologists within the GSK Computational Biology Department. Your primary role as a Computational Biologist will be to identify, develop, implement and use computational biology methods to impact drug discovery and development. Applicants should have a strong background in bioinformatics, computational biology, computer science and/or genomics, combined with knowledge of biology. You should be comfortable working in a dynamic and highly collaborative environment, and you will be expected to communicate complex informatics principles, methods, analyses and results to scientists from diverse backgrounds. Furthermore, you will be encouraged to develop and advance your computational biology skills as well as your internal and external scientific profile through presentations and peer-reviewed publications. GSK offers excellent work-life balance for its employees and is an equal opportunity employer.
When applying for this role, please use the 'cover letter' of the on-line application to clearly describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter will be used to assess your application.
Some examples of recent publications by GSK Computational Biology:
1. Nelson MR, Tipney H, Painter JL, Shen J, Nicoletti P, Shen Y, Floratos A, Sham PC, Li MJ, Wang J, Cardon LR, Whittaker JC, Sanseau P. The support of human genetic evidence for approved drug indications. Nat Genet. 2015 Aug;47(8):856-60.
2. Arat S, Spivak A, Van Horn S, Thomas E, Traini C, Sathe G, Livi GP, Ingraham K, Jones L, Aubart K, Holmes DJ, Naderer O, Brown JR. 2015. Microbiome changes in healthy volunteers treated with GSK1322322, a novel antibiotic targeting bacterial peptide deformylase. Antimicrobial Agents and Chemotherapy. 59:1182-1192.
3. Rajpal DK, Klein JL, Mayhew D, Boucheron J, Spivak AT, Kumar V, Ingraham K, Paulik M, Chen L, Van Horn S, Thomas E, Sathe G, Livi GP, Holmes DJ, Brown JR. 2015. Selective Spectrum Antibiotic Modulation of the Gut Microbiome in Obesity and Diabetes Rodent Models. PLoS One. 2015 Dec 28;10(12):e0145499.
4. Cheng J, Yang L, Kumar V, Agarwal, P. Systematic evaluation of connectivity map for disease indications Genome Medicine 2014; 6:95
5. Qu X, Freundenberg J, Sanseau, P, Rajpal D. Integrative clinical transcriptomics analyses for new therapeutic intervention strategies: a psoriasis case study. Drug Disc Today 2014; 19. 1364-1371
6. Rajpal DK, Qu XA, Freudenberg JM, Kumar VD. 2014. Mining emerging biomedical literature for understanding disease associations in drug discovery. Methods Mol Biol. 2014;1159:171-206.
7. Smith SB, Magid-Slav M, Brown JR. 2013. Host response to respiratory bacterial pathogens as identified by integrated analysis of human geneexpression data. PLoS One. 2013 Sep 27;8(9):e75607
8. Agarwal P, Sanseau P, Cardon LR. 2013. Novelty in the target landscape of the pharmaceutical industry. Nat Rev Drug Discov. 2013 Aug;12(8):575-6.
9. Freudenberg JM, Rajpal N, Way JM, Magid-Slav M, Rajpal DK. 2013: Gastrointestinal weight-loss surgery: glimpses at the molecular level. DrugDisc Today. 2013 Jul;18(13-14):625-36.
10. Hurle MR, Yang L, Xie Q, Rajpal DK, Sanseau P, Agarwal P. 2013. Computational drug repositioning: from data to therapeutics. Clin Pharmacol Ther. 2013 Apr; 93(4):335-41.
11. Sanseau P, Agarwal P, Barnes MR, Pastinen T, Richards JB, Cardon LR, Mooser V. 2012. Use of genome-wide association studies for drug repositioning. Nat Biotechnol. 2012 Apr 10;30(4):317-20.
12. Qu XA, Rajpal DK. 2012. Applications of Connectivity Map in drug discovery and development. Drug Discov Today. 2012 Dec;17(23-24):1289-98.
13. Gamo F-J, Sanz LM, Vidal J, de Cozar C, Alvarez E, Lavandera J-L, Vanderwall DE, Green DVS, Kumar V, Hasan S, Brown JR, Peishoff CE, Cardon LR, Garcia-Bustos JF. 2010. Thousands of chemical starting points for antimalarial lead identification. Nature. 465:305-310.
14. Zhang Y, Italia MJ, Auger KR, Halsey WS, Van Horn SF, Sathe GM, Magid-Slav M, Brown JR, Holbrook JD. 2010. Molecular evolutionary analysis of cancer cell lines. Molecular Cancer Therapeutics. 9:279-291. Basic qualifications:
• PhD in Computational biology, bioinformatics, computational sciences, biomedical/biological sciences.
• Strong written and oral communication skills.
• Ability to work effectively in multidisciplinary teams.
• Publication record in peer reviewed journals.
Preferred qualifications:
• Expertise in a programming language (such as R, Python or Perl) for complex data analysis.
• Knowledge of genome-wide genetic, genomic, pathway and network methods.
• Skills to collect, integrate, mine and analyze complex biological data and translate them into testable hypotheses.
• Knowledge of and experience with common bioinformatics databases, resources and tools.
• Knowledge of the drug discovery and development process.
• Demonstrated experience in processing multiple large scale genomic and genetic platforms, such as transcriptomic, proteomic or Next Generation sequencing data, including understanding of pathway/network analyses.
• Statistical analysis skillsJob Information Position Type: Pharma Reference (Job ID number): WD59950 Start Date: ASAP Duration: Full Time Status: openContact InformationGSK Pharmaceuticals R&D
Computational Biology
Pankaj Agarwal
pankaj.agarwal@iscb.orghttps://careers.peopleclick.com/careerscp/client_gsk/internal1922/jobDetails.do?functionName=getJobDetail&jobPostId=291735&localeCode=en-usHow To Apply:Apply through website
Additional Info:
[Click Here to Access the Original Job Post]
ISCB Job Board
Computational BiologistGSK Pharmaceuticals R&DComputational Biology19406-PA-King of Prussia The Computational Biology Department supports Drug Discovery and Development at GSK Pharmaceuticals R&D through the integrative analysis of internal and external biomedical data. Our analysis competencies are quite diverse and include target identification and validation, genetics, pathways and networks, disease indications, text mining, molecular evolution, gene expression, microbiome/host pathogen analysis, drug repositioning and machine learning. We contribute to multiple phases of the drug development pipeline and our work results in developing new medicines for important diseases of unmet medical need.We currently have multiple openings for skilled Computational Biologists within the GSK Computational Biology Department. Your primary role as a Computational Biologist will be to identify, develop, implement and use computational biology methods to impact drug discovery and development. Applicants should have a strong background in bioinformatics, computational biology, computer science and/or genomics, combined with knowledge of biology. You should be comfortable working in a dynamic and highly collaborative environment, and you will be expected to communicate complex informatics principles, methods, analyses and results to scientists from diverse backgrounds. Furthermore, you will be encouraged to develop and advance your computational biology skills as well as your internal and external scientific profile through presentations and peer-reviewed publications. GSK offers excellent work-life balance for its employees and is an equal opportunity employer.
When applying for this role, please use the 'cover letter' of the on-line application to clearly describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter will be used to assess your application.
Some examples of recent publications by GSK Computational Biology:
1. Nelson MR, Tipney H, Painter JL, Shen J, Nicoletti P, Shen Y, Floratos A, Sham PC, Li MJ, Wang J, Cardon LR, Whittaker JC, Sanseau P. The support of human genetic evidence for approved drug indications. Nat Genet. 2015 Aug;47(8):856-60.
2. Arat S, Spivak A, Van Horn S, Thomas E, Traini C, Sathe G, Livi GP, Ingraham K, Jones L, Aubart K, Holmes DJ, Naderer O, Brown JR. 2015. Microbiome changes in healthy volunteers treated with GSK1322322, a novel antibiotic targeting bacterial peptide deformylase. Antimicrobial Agents and Chemotherapy. 59:1182-1192.
3. Rajpal DK, Klein JL, Mayhew D, Boucheron J, Spivak AT, Kumar V, Ingraham K, Paulik M, Chen L, Van Horn S, Thomas E, Sathe G, Livi GP, Holmes DJ, Brown JR. 2015. Selective Spectrum Antibiotic Modulation of the Gut Microbiome in Obesity and Diabetes Rodent Models. PLoS One. 2015 Dec 28;10(12):e0145499.
4. Cheng J, Yang L, Kumar V, Agarwal, P. Systematic evaluation of connectivity map for disease indications Genome Medicine 2014; 6:95
5. Qu X, Freundenberg J, Sanseau, P, Rajpal D. Integrative clinical transcriptomics analyses for new therapeutic intervention strategies: a psoriasis case study. Drug Disc Today 2014; 19. 1364-1371
6. Rajpal DK, Qu XA, Freudenberg JM, Kumar VD. 2014. Mining emerging biomedical literature for understanding disease associations in drug discovery. Methods Mol Biol. 2014;1159:171-206.
7. Smith SB, Magid-Slav M, Brown JR. 2013. Host response to respiratory bacterial pathogens as identified by integrated analysis of human geneexpression data. PLoS One. 2013 Sep 27;8(9):e75607
8. Agarwal P, Sanseau P, Cardon LR. 2013. Novelty in the target landscape of the pharmaceutical industry. Nat Rev Drug Discov. 2013 Aug;12(8):575-6.
9. Freudenberg JM, Rajpal N, Way JM, Magid-Slav M, Rajpal DK. 2013: Gastrointestinal weight-loss surgery: glimpses at the molecular level. DrugDisc Today. 2013 Jul;18(13-14):625-36.
10. Hurle MR, Yang L, Xie Q, Rajpal DK, Sanseau P, Agarwal P. 2013. Computational drug repositioning: from data to therapeutics. Clin Pharmacol Ther. 2013 Apr; 93(4):335-41.
11. Sanseau P, Agarwal P, Barnes MR, Pastinen T, Richards JB, Cardon LR, Mooser V. 2012. Use of genome-wide association studies for drug repositioning. Nat Biotechnol. 2012 Apr 10;30(4):317-20.
12. Qu XA, Rajpal DK. 2012. Applications of Connectivity Map in drug discovery and development. Drug Discov Today. 2012 Dec;17(23-24):1289-98.
13. Gamo F-J, Sanz LM, Vidal J, de Cozar C, Alvarez E, Lavandera J-L, Vanderwall DE, Green DVS, Kumar V, Hasan S, Brown JR, Peishoff CE, Cardon LR, Garcia-Bustos JF. 2010. Thousands of chemical starting points for antimalarial lead identification. Nature. 465:305-310.
14. Zhang Y, Italia MJ, Auger KR, Halsey WS, Van Horn SF, Sathe GM, Magid-Slav M, Brown JR, Holbrook JD. 2010. Molecular evolutionary analysis of cancer cell lines. Molecular Cancer Therapeutics. 9:279-291. Basic qualifications:
• PhD in Computational biology, bioinformatics, computational sciences, biomedical/biological sciences.
• Strong written and oral communication skills.
• Ability to work effectively in multidisciplinary teams.
• Publication record in peer reviewed journals.
Preferred qualifications:
• Expertise in a programming language (such as R, Python or Perl) for complex data analysis.
• Knowledge of genome-wide genetic, genomic, pathway and network methods.
• Skills to collect, integrate, mine and analyze complex biological data and translate them into testable hypotheses.
• Knowledge of and experience with common bioinformatics databases, resources and tools.
• Knowledge of the drug discovery and development process.
• Demonstrated experience in processing multiple large scale genomic and genetic platforms, such as transcriptomic, proteomic or Next Generation sequencing data, including understanding of pathway/network analyses.
• Statistical analysis skillsJob Information Position Type: Pharma Reference (Job ID number): WD59950 Start Date: ASAP Duration: Full Time Status: openContact InformationGSK Pharmaceuticals R&D
Computational Biology
Pankaj Agarwal
pankaj.agarwal@iscb.orghttps://careers.peopleclick.com/careerscp/client_gsk/internal1922/jobDetails.do?functionName=getJobDetail&jobPostId=291735&localeCode=en-usHow To Apply:Apply through website
Requeriments :
Skills :
- Bioinformatics
- Biology
- Computational Biology
- Genetics
- Machine Learning
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Programming in PERL
- Programming in R
Areas :
Additional Info:
[Click Here to Access the Original Job Post]