Employment type Full-time
Experience Mid-Senior level
Basic Qualifications
A first or an advanced degree (MS or PhD) in a life science, physical science, computational science or mathematics; or equivalent experience. A thorough understanding of linux and windows. Demonstrated skills in computer programming in several languages (e.g. perl, python, R/Bioconductor, java, SQL, shell). Demonstrated skills to programmatically collect, combine, mine and analyze complex data (in a fluid environment). Data storage experience with an ability to plan & anticipate growth and storage/compute/network capacity needs. Demonstrated ability to develop and revise internal knowledgebase with version control systems and maintain user-facing documentation
Preferred Qualifications
Strong communication skills, both written and oral. Ability to work effectively in global teams and clearly communicate computational concepts. Sufficient knowledge and experience to critically appraise proposed IT solutions. Self motivated proactive team player with good organisation skills. Some biological and chemistry understanding would be desirable. Knowledge of genome-wide genetic, genomic, pathway and network methods. Some experience of GRID, cloud and related technologies. Experience of monitoring systems for normal operation and performance. Experience in participating in design & implementation of new infrastructure projects. Some system administration experience. Publication record in peer reviewed journals
Details
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.
Applicants should have a strong background in bioinformatics, computational biology, computer science and/or genomics, combined with some knowledge of biology. You should have strong technical informatics and communication skills aimed at improving informatics infrastructure, data management capabilities and IT processes. 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. You will provide automated core data management from public, vendor and in-house sources, and suggest/implement appropriate data solutions and standards, ensuring that our key operational IT needs are met (hardware/VMs/secure cloud, compute environments, installation of programs and libraries, and disc space management). The role will require close collaboration and effective communication with other informatics groups, IT and scientists as well as hands on technical problem solving and delivery to ensure we are able to meet our needs globally. 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.
A few relevant publications by GSK Computational Biology Group
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.
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.
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.
Cheng J, Yang L, Kumar V, Agarwal, P. Systematic evaluation of connectivity map for disease indications Genome Medicine 2014; 6:95
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
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.
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
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.
Contact Information
You may apply for this position online by using this link: http://www.gettinghired.com/Computational-Biology-Data-Manager/King-of-Prussia-PA/GlaxoSmithKline/J3H2K262YZ5D29HHDQ0
If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK HR Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
