SlideShare a Scribd company logo
1 of 3
Download to read offline
Submitted by: Jonathan Duckworth Contact Number: 01223 394235
Candidate Name: Candidate 113701
Location: West Sussex, but looking to relocate to Cambridge
Salary Expectations: £35,000+
Current Role:
Lead Scientist
Desired Role:
Senior Scientist
Notice Period:
Available from late June 2014
Relevant Experience/Skills
For Role:
A Senior Cell Biologist with 12 yrs experience in the drug
discovery industry, the majority of which have been working on
projects for oncology therapeutic targets (PI3K and Protein
homeostasis.
Very competent in a range of cell biology assays (2D/3D
proliferation, migration/invasion) as well as having a strong
repertoire of general laboratory skills.
In his current role as a lab group head, he is engaged with a
number of different discovery project teams where he presents and
interprets the data generated by the group to influence project
decision making.
Actively looking to move to the Cambridge area.
C A N D I D A T E 1 1 3 7 0 1
Profile
A successful drug discovery scientist with 12 years experience in both small biotech and large
pharma setting, working on projects delivering a candidate drugs from the bench to the clinic.
Practical cell biology experience investigating small molecule pharmacology in both respiratory
disease and oncology research fields. An accomplished communicator with strong analytical
skills and a positive approach to team work.
Key Skills
Cell Biology
 Culture of differentiated near primary bronchial epithelial cells (BECs) in 2D and 3D
(bronchosphere) formats
 Proliferation, migration and 3D growth assay with oncology cell lines
General Biology
 ELISA, Western blotting, Immunofluorescence, confocal microscopy, nucleic acid
extraction and gene expression profiling
Software
 Spotfire, Graphpad prism, XLfit
Employment History
Novartis Institute for Biomedical Research (NIBR), Horsham UK
2011 – Present Scientist II
Leading a small group specialising in respiratory epithelial ion transport – working with
differentiated cultures of near primary bronchial epithelial cells to provide high quality
screening data for several respiratory disease project teams as well as more bespoke studies
for target validation and compound mode of action.
 Design and execution of experiments for ion transport drug combinations and validation
of literature targets for CFTR modulation
 Assessment of a 3D organoid (bronchosphere) culture as a phenotypic screening tool
 Investigation of the impact of cell culture medium on the differentiation of BECs in air
liquid interface cultures using IF and RNA expression data
 Exploratory work on models of live respiratory viral infection of BEC cultures including
virus culture (RSV, hRV16, Influenza) and design of a low density Taqman array to
probe epithelial host defence response to viral challenge
 Working with an academic collaborator to transfer a new technology for increased
assay throughput
 Active participation in project teams including interpretation of data to facilitate decision
making with a 3rd
party collaborator
 Report writing to support regulatory submissions
2010 – 2011 Scientist I
Lab scientist with supervisory responsibility, coordinating the delivery of ion transport data to
project teams in the respiratory disease department
 Ussing chamber studies with diseased/non-diseased bronchial epithelial cells
 Generation and presentation of decision making data to support clinical candidate
selection for a respiratory disease project
2009 – 2010 Contract scientist (SRG)
Lab scientist working on an ion transport project with a focus on infectious secretory diarrhea
 Ussing chamber studies with both engineered and physiologically relevant cell lines
 Data analysis and reporting to the project team
Piramed Pharma, Slough UK
2007 – 2008 Senior Research Associate
Key member of a research team identifying mutation hotspots that could cause resistance to a
clinical candidate drug.
 Design of resistance selection strategy
 Optimisation of transfection conditions for retroviral library generation
 Infection of target cell line and colony selection/expansion for gene sequencing.
2003 – 2007 Research Associate
Member of the cell biology group running a range of in vitro assays supporting compound
selection and target validation
 In house set-up of cell line based in vitro assays to increase target validation
o Migration or invasion through matrigel layer in transwell inserts
o Growth of spheroids in semisolid methylcellulose
 Sourced and implemented an automated microscopy system to enable quantification of
stained tumour sections
 Established qRT-PCR capability in house; purchased equipment and developed software
skills in micro-array data analysis
 Performing proliferation assays (Alamar Blue) in a range of cancer cell lines to support
compound progression
Millennium Pharmaceuticals R&D Ltd , Cambridge UK
2001 – 2003 Research Associate
Responsibility for running all in vitro enzyme assays for a high priority oncology project. Carried
out optimisation and troubleshooting of assays to ensure timely delivery of data for
presentation at project team meetings in both UK & US.
 Primary target and follow-up selectivity screening in an isolated enzyme HTRF assay
 Competency in use of lab automation equipment including Multiprobe, Platemate Plus
and Serialmate liquid handling systems
Education
2000 – 2001 University of Nottingham UK
 MSc with Distinction: Applied Biomolecular Technology
 3 month research placement: Y Chromosome Analysis of the Wirral Population
1996 – 1999 University of Leeds UK
 BSc (Hons) 2ii: Biochemistry and Molecular Biology
Publications
 Raynaud FI, et al Biological properties of potent inhibitors of class I
phosphatidylinositide 3-kinases: from PI-103 through PI-540, PI-
620 to the oral agent GDC-0941. Mol Cancer Ther 2009; 8:1725–38.
 Folkes AJ, et al The Identification of 2-(1H-Indazol-4-yl)-6-(4-
methanesulfonyl-piperazin-1-ylmethyl)-4-morpholin-4-yl-
thieno[3,2-d]pyrimidine (GDC-0941) as a Potent, Selective, Orally
Bioavailable Inhibitor of Class I PI3 Kinase for the Treatment of
Cancer. J Med Chem 2008; 51 (18): 5522-5532
INTERESTS
Skiing/snowboarding
Woodwork/Furniture making and upholstery

More Related Content

What's hot

Bioinformatics: Building the cornerstones of Sequence Homology and its use fo...
Bioinformatics: Building the cornerstones of Sequence Homology and its use fo...Bioinformatics: Building the cornerstones of Sequence Homology and its use fo...
Bioinformatics: Building the cornerstones of Sequence Homology and its use fo...OECD Environment
 
The Global Micorbial Identifier (GMI) initiative - and its working groups
The Global Micorbial Identifier (GMI) initiative - and its working groupsThe Global Micorbial Identifier (GMI) initiative - and its working groups
The Global Micorbial Identifier (GMI) initiative - and its working groupsExternalEvents
 
How bioinformatic and sequencing data might inform the regulatory process - O...
How bioinformatic and sequencing data might inform the regulatory process - O...How bioinformatic and sequencing data might inform the regulatory process - O...
How bioinformatic and sequencing data might inform the regulatory process - O...OECD Environment
 
Comparing Typing Methods : Do's and Don't's
Comparing Typing Methods : Do's and Don't'sComparing Typing Methods : Do's and Don't's
Comparing Typing Methods : Do's and Don't'sJoão André Carriço
 
Web applications for rapid microbial taxonomy identification
Web applications for rapid microbial taxonomy identification Web applications for rapid microbial taxonomy identification
Web applications for rapid microbial taxonomy identification ExternalEvents
 
Whole Genome Sequencing (WGS) for surveillance of foodborne infections in Den...
Whole Genome Sequencing (WGS) for surveillance of foodborne infections in Den...Whole Genome Sequencing (WGS) for surveillance of foodborne infections in Den...
Whole Genome Sequencing (WGS) for surveillance of foodborne infections in Den...ExternalEvents
 
US Perspective on use of bioinformatics in microbial pesticide regulation - O...
US Perspective on use of bioinformatics in microbial pesticide regulation - O...US Perspective on use of bioinformatics in microbial pesticide regulation - O...
US Perspective on use of bioinformatics in microbial pesticide regulation - O...OECD Environment
 
Jason C Poole Cv Linked In
Jason C Poole Cv Linked InJason C Poole Cv Linked In
Jason C Poole Cv Linked Inrastare1a
 
Pine.Bio slide deck - Idea Village CAPITALx (New Orleans Entrepreneur Week 2017)
Pine.Bio slide deck - Idea Village CAPITALx (New Orleans Entrepreneur Week 2017)Pine.Bio slide deck - Idea Village CAPITALx (New Orleans Entrepreneur Week 2017)
Pine.Bio slide deck - Idea Village CAPITALx (New Orleans Entrepreneur Week 2017)Elia Brodsky
 
Added Value of Open data sharing using examples from GenomeTrakr
Added Value of Open data sharing using examples from GenomeTrakrAdded Value of Open data sharing using examples from GenomeTrakr
Added Value of Open data sharing using examples from GenomeTrakrExternalEvents
 
provenance of microarray experiments
provenance of microarray experimentsprovenance of microarray experiments
provenance of microarray experimentsHelena Deus
 
Choosing the Right Microbial Typing Method: A Quantitative Approach
Choosing the Right Microbial Typing Method: A Quantitative ApproachChoosing the Right Microbial Typing Method: A Quantitative Approach
Choosing the Right Microbial Typing Method: A Quantitative ApproachJoão André Carriço
 
2015 06-12-beiko-irida-big data
2015 06-12-beiko-irida-big data2015 06-12-beiko-irida-big data
2015 06-12-beiko-irida-big databeiko
 
How Can We Make Genomic Epidemiology a Widespread Reality? - William Hsiao
How Can We Make Genomic Epidemiology a Widespread Reality?  - William HsiaoHow Can We Make Genomic Epidemiology a Widespread Reality?  - William Hsiao
How Can We Make Genomic Epidemiology a Widespread Reality? - William HsiaoWilliam Hsiao
 
MDC Connects: Challenges of Opportunities of Complex Cell Models for Toxicity...
MDC Connects: Challenges of Opportunities of Complex Cell Models for Toxicity...MDC Connects: Challenges of Opportunities of Complex Cell Models for Toxicity...
MDC Connects: Challenges of Opportunities of Complex Cell Models for Toxicity...Medicines Discovery Catapult
 
Bacterial Pathogen Genomics at NCBI
Bacterial Pathogen Genomics at NCBIBacterial Pathogen Genomics at NCBI
Bacterial Pathogen Genomics at NCBInist-spin
 
Integrating Disruptive Technologies Into Translational Research Hinxton Hal...
Integrating Disruptive Technologies Into Translational Research   Hinxton Hal...Integrating Disruptive Technologies Into Translational Research   Hinxton Hal...
Integrating Disruptive Technologies Into Translational Research Hinxton Hal...Mike Romanos
 

What's hot (20)

Bioinformatics: Building the cornerstones of Sequence Homology and its use fo...
Bioinformatics: Building the cornerstones of Sequence Homology and its use fo...Bioinformatics: Building the cornerstones of Sequence Homology and its use fo...
Bioinformatics: Building the cornerstones of Sequence Homology and its use fo...
 
The Global Micorbial Identifier (GMI) initiative - and its working groups
The Global Micorbial Identifier (GMI) initiative - and its working groupsThe Global Micorbial Identifier (GMI) initiative - and its working groups
The Global Micorbial Identifier (GMI) initiative - and its working groups
 
How bioinformatic and sequencing data might inform the regulatory process - O...
How bioinformatic and sequencing data might inform the regulatory process - O...How bioinformatic and sequencing data might inform the regulatory process - O...
How bioinformatic and sequencing data might inform the regulatory process - O...
 
Comparing Typing Methods : Do's and Don't's
Comparing Typing Methods : Do's and Don't'sComparing Typing Methods : Do's and Don't's
Comparing Typing Methods : Do's and Don't's
 
Web applications for rapid microbial taxonomy identification
Web applications for rapid microbial taxonomy identification Web applications for rapid microbial taxonomy identification
Web applications for rapid microbial taxonomy identification
 
Whole Genome Sequencing (WGS) for surveillance of foodborne infections in Den...
Whole Genome Sequencing (WGS) for surveillance of foodborne infections in Den...Whole Genome Sequencing (WGS) for surveillance of foodborne infections in Den...
Whole Genome Sequencing (WGS) for surveillance of foodborne infections in Den...
 
US Perspective on use of bioinformatics in microbial pesticide regulation - O...
US Perspective on use of bioinformatics in microbial pesticide regulation - O...US Perspective on use of bioinformatics in microbial pesticide regulation - O...
US Perspective on use of bioinformatics in microbial pesticide regulation - O...
 
Jason C Poole Cv Linked In
Jason C Poole Cv Linked InJason C Poole Cv Linked In
Jason C Poole Cv Linked In
 
Pine.Bio slide deck - Idea Village CAPITALx (New Orleans Entrepreneur Week 2017)
Pine.Bio slide deck - Idea Village CAPITALx (New Orleans Entrepreneur Week 2017)Pine.Bio slide deck - Idea Village CAPITALx (New Orleans Entrepreneur Week 2017)
Pine.Bio slide deck - Idea Village CAPITALx (New Orleans Entrepreneur Week 2017)
 
Added Value of Open data sharing using examples from GenomeTrakr
Added Value of Open data sharing using examples from GenomeTrakrAdded Value of Open data sharing using examples from GenomeTrakr
Added Value of Open data sharing using examples from GenomeTrakr
 
RDVW Hands-on session: Python
RDVW Hands-on session: PythonRDVW Hands-on session: Python
RDVW Hands-on session: Python
 
Pine Biotech
Pine BiotechPine Biotech
Pine Biotech
 
provenance of microarray experiments
provenance of microarray experimentsprovenance of microarray experiments
provenance of microarray experiments
 
PGCA_Agenda 2017
PGCA_Agenda 2017PGCA_Agenda 2017
PGCA_Agenda 2017
 
Choosing the Right Microbial Typing Method: A Quantitative Approach
Choosing the Right Microbial Typing Method: A Quantitative ApproachChoosing the Right Microbial Typing Method: A Quantitative Approach
Choosing the Right Microbial Typing Method: A Quantitative Approach
 
2015 06-12-beiko-irida-big data
2015 06-12-beiko-irida-big data2015 06-12-beiko-irida-big data
2015 06-12-beiko-irida-big data
 
How Can We Make Genomic Epidemiology a Widespread Reality? - William Hsiao
How Can We Make Genomic Epidemiology a Widespread Reality?  - William HsiaoHow Can We Make Genomic Epidemiology a Widespread Reality?  - William Hsiao
How Can We Make Genomic Epidemiology a Widespread Reality? - William Hsiao
 
MDC Connects: Challenges of Opportunities of Complex Cell Models for Toxicity...
MDC Connects: Challenges of Opportunities of Complex Cell Models for Toxicity...MDC Connects: Challenges of Opportunities of Complex Cell Models for Toxicity...
MDC Connects: Challenges of Opportunities of Complex Cell Models for Toxicity...
 
Bacterial Pathogen Genomics at NCBI
Bacterial Pathogen Genomics at NCBIBacterial Pathogen Genomics at NCBI
Bacterial Pathogen Genomics at NCBI
 
Integrating Disruptive Technologies Into Translational Research Hinxton Hal...
Integrating Disruptive Technologies Into Translational Research   Hinxton Hal...Integrating Disruptive Technologies Into Translational Research   Hinxton Hal...
Integrating Disruptive Technologies Into Translational Research Hinxton Hal...
 

Similar to Candidate 113701 (srg) senior biologist

Candidate 21524 (srg) cell based scientist
Candidate 21524 (srg)   cell based scientistCandidate 21524 (srg)   cell based scientist
Candidate 21524 (srg) cell based scientistJonathan Duckworth
 
Bryan Soper - resume
Bryan Soper - resumeBryan Soper - resume
Bryan Soper - resumeBryan Soper
 
CV_Timothy_Sanchez_Dec2015
CV_Timothy_Sanchez_Dec2015CV_Timothy_Sanchez_Dec2015
CV_Timothy_Sanchez_Dec2015Timothy Sanchez
 
RESUME Ana Gervassi
RESUME Ana GervassiRESUME Ana Gervassi
RESUME Ana GervassiAna Gervassi
 
CV J.L. Livermore_Linked In
CV J.L. Livermore_Linked InCV J.L. Livermore_Linked In
CV J.L. Livermore_Linked InJoanne Sharp
 
Prahlad Rao Latestresume
Prahlad Rao LatestresumePrahlad Rao Latestresume
Prahlad Rao Latestresumeprao123
 
Candidate 116168 (srg) molecular biologist
Candidate 116168 (srg) molecular biologistCandidate 116168 (srg) molecular biologist
Candidate 116168 (srg) molecular biologistJonathan Duckworth
 
PEGS Europe Protein & Antibody Engineering Summit 2014 Agenda
PEGS Europe Protein & Antibody Engineering Summit 2014 AgendaPEGS Europe Protein & Antibody Engineering Summit 2014 Agenda
PEGS Europe Protein & Antibody Engineering Summit 2014 AgendaNicole Proulx
 
IHI RETREAT 2012 BIOMEDICAL GROUP
IHI RETREAT 2012 BIOMEDICAL GROUPIHI RETREAT 2012 BIOMEDICAL GROUP
IHI RETREAT 2012 BIOMEDICAL GROUPGwamaka Moses
 
Gail donegan's html cv
Gail donegan's html cvGail donegan's html cv
Gail donegan's html cvGail Donegan
 
MedImmune Industrial Placement Student Programme 2016
MedImmune Industrial Placement Student Programme 2016MedImmune Industrial Placement Student Programme 2016
MedImmune Industrial Placement Student Programme 2016Jonathan Duckworth
 
Mark_Carr_CV_040914
Mark_Carr_CV_040914Mark_Carr_CV_040914
Mark_Carr_CV_040914Mark Carr
 
Big Data & Immunotherapeutics Symposium Program
Big Data & Immunotherapeutics Symposium ProgramBig Data & Immunotherapeutics Symposium Program
Big Data & Immunotherapeutics Symposium ProgramMichael Evtushenko
 

Similar to Candidate 113701 (srg) senior biologist (20)

Candidate 21524 (srg) cell based scientist
Candidate 21524 (srg)   cell based scientistCandidate 21524 (srg)   cell based scientist
Candidate 21524 (srg) cell based scientist
 
SAOD CV
SAOD CVSAOD CV
SAOD CV
 
Bryan Soper - resume
Bryan Soper - resumeBryan Soper - resume
Bryan Soper - resume
 
CV_Timothy_Sanchez_Dec2015
CV_Timothy_Sanchez_Dec2015CV_Timothy_Sanchez_Dec2015
CV_Timothy_Sanchez_Dec2015
 
Maha cv-linkedin-06 june2015
Maha cv-linkedin-06 june2015Maha cv-linkedin-06 june2015
Maha cv-linkedin-06 june2015
 
RESUME Ana Gervassi
RESUME Ana GervassiRESUME Ana Gervassi
RESUME Ana Gervassi
 
CV LaSalleSandra
CV LaSalleSandraCV LaSalleSandra
CV LaSalleSandra
 
Maha cv-linkedin-03 June,2015
Maha cv-linkedin-03 June,2015Maha cv-linkedin-03 June,2015
Maha cv-linkedin-03 June,2015
 
CV Dr S Kumar
CV Dr S KumarCV Dr S Kumar
CV Dr S Kumar
 
CV J.L. Livermore_Linked In
CV J.L. Livermore_Linked InCV J.L. Livermore_Linked In
CV J.L. Livermore_Linked In
 
Prahlad Rao Latestresume
Prahlad Rao LatestresumePrahlad Rao Latestresume
Prahlad Rao Latestresume
 
Candidate 116168 (srg) molecular biologist
Candidate 116168 (srg) molecular biologistCandidate 116168 (srg) molecular biologist
Candidate 116168 (srg) molecular biologist
 
PEGS Europe Protein & Antibody Engineering Summit 2014 Agenda
PEGS Europe Protein & Antibody Engineering Summit 2014 AgendaPEGS Europe Protein & Antibody Engineering Summit 2014 Agenda
PEGS Europe Protein & Antibody Engineering Summit 2014 Agenda
 
IHI RETREAT 2012 BIOMEDICAL GROUP
IHI RETREAT 2012 BIOMEDICAL GROUPIHI RETREAT 2012 BIOMEDICAL GROUP
IHI RETREAT 2012 BIOMEDICAL GROUP
 
Gail donegan's html cv
Gail donegan's html cvGail donegan's html cv
Gail donegan's html cv
 
CV Mattias Gustafsson
CV Mattias GustafssonCV Mattias Gustafsson
CV Mattias Gustafsson
 
MedImmune Industrial Placement Student Programme 2016
MedImmune Industrial Placement Student Programme 2016MedImmune Industrial Placement Student Programme 2016
MedImmune Industrial Placement Student Programme 2016
 
Mark_Carr_CV_040914
Mark_Carr_CV_040914Mark_Carr_CV_040914
Mark_Carr_CV_040914
 
CV
CVCV
CV
 
Big Data & Immunotherapeutics Symposium Program
Big Data & Immunotherapeutics Symposium ProgramBig Data & Immunotherapeutics Symposium Program
Big Data & Immunotherapeutics Symposium Program
 

Recently uploaded

BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptxBREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptxPABOLU TEJASREE
 
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxAnalytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxSwapnil Therkar
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxkessiyaTpeter
 
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxLIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxmalonesandreagweneth
 
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptxRESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptxFarihaAbdulRasheed
 
‏‏VIRUS - 123455555555555555555555555555555555555555
‏‏VIRUS -  123455555555555555555555555555555555555555‏‏VIRUS -  123455555555555555555555555555555555555555
‏‏VIRUS - 123455555555555555555555555555555555555555kikilily0909
 
Environmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial BiosensorEnvironmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial Biosensorsonawaneprad
 
Transposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptTransposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptArshadWarsi13
 
Pests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdfPests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdfPirithiRaju
 
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdfBUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdfWildaNurAmalia2
 
Microphone- characteristics,carbon microphone, dynamic microphone.pptx
Microphone- characteristics,carbon microphone, dynamic microphone.pptxMicrophone- characteristics,carbon microphone, dynamic microphone.pptx
Microphone- characteristics,carbon microphone, dynamic microphone.pptxpriyankatabhane
 
GenBio2 - Lesson 1 - Introduction to Genetics.pptx
GenBio2 - Lesson 1 - Introduction to Genetics.pptxGenBio2 - Lesson 1 - Introduction to Genetics.pptx
GenBio2 - Lesson 1 - Introduction to Genetics.pptxBerniceCayabyab1
 
Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PPRINCE C P
 
Pests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPirithiRaju
 
Twin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptxTwin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptxEran Akiva Sinbar
 
Harmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms PresentationHarmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms Presentationtahreemzahra82
 
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |aasikanpl
 
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.aasikanpl
 

Recently uploaded (20)

BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptxBREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
BREEDING FOR RESISTANCE TO BIOTIC STRESS.pptx
 
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptxAnalytical Profile of Coleus Forskohlii | Forskolin .pptx
Analytical Profile of Coleus Forskohlii | Forskolin .pptx
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
 
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxLIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
 
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
 
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptxRESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
RESPIRATORY ADAPTATIONS TO HYPOXIA IN HUMNAS.pptx
 
‏‏VIRUS - 123455555555555555555555555555555555555555
‏‏VIRUS -  123455555555555555555555555555555555555555‏‏VIRUS -  123455555555555555555555555555555555555555
‏‏VIRUS - 123455555555555555555555555555555555555555
 
Environmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial BiosensorEnvironmental Biotechnology Topic:- Microbial Biosensor
Environmental Biotechnology Topic:- Microbial Biosensor
 
Transposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptTransposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.ppt
 
Pests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdfPests of soyabean_Binomics_IdentificationDr.UPR.pdf
Pests of soyabean_Binomics_IdentificationDr.UPR.pdf
 
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdfBUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
BUMI DAN ANTARIKSA PROJEK IPAS SMK KELAS X.pdf
 
Microphone- characteristics,carbon microphone, dynamic microphone.pptx
Microphone- characteristics,carbon microphone, dynamic microphone.pptxMicrophone- characteristics,carbon microphone, dynamic microphone.pptx
Microphone- characteristics,carbon microphone, dynamic microphone.pptx
 
GenBio2 - Lesson 1 - Introduction to Genetics.pptx
GenBio2 - Lesson 1 - Introduction to Genetics.pptxGenBio2 - Lesson 1 - Introduction to Genetics.pptx
GenBio2 - Lesson 1 - Introduction to Genetics.pptx
 
Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C P
 
Pests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdfPests of castor_Binomics_Identification_Dr.UPR.pdf
Pests of castor_Binomics_Identification_Dr.UPR.pdf
 
Twin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptxTwin's paradox experiment is a meassurement of the extra dimensions.pptx
Twin's paradox experiment is a meassurement of the extra dimensions.pptx
 
Harmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms PresentationHarmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms Presentation
 
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
Call Us ≽ 9953322196 ≼ Call Girls In Lajpat Nagar (Delhi) |
 
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Mayapuri Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
 
Engler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomyEngler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomy
 

Candidate 113701 (srg) senior biologist

  • 1. Submitted by: Jonathan Duckworth Contact Number: 01223 394235 Candidate Name: Candidate 113701 Location: West Sussex, but looking to relocate to Cambridge Salary Expectations: £35,000+ Current Role: Lead Scientist Desired Role: Senior Scientist Notice Period: Available from late June 2014 Relevant Experience/Skills For Role: A Senior Cell Biologist with 12 yrs experience in the drug discovery industry, the majority of which have been working on projects for oncology therapeutic targets (PI3K and Protein homeostasis. Very competent in a range of cell biology assays (2D/3D proliferation, migration/invasion) as well as having a strong repertoire of general laboratory skills. In his current role as a lab group head, he is engaged with a number of different discovery project teams where he presents and interprets the data generated by the group to influence project decision making. Actively looking to move to the Cambridge area.
  • 2. C A N D I D A T E 1 1 3 7 0 1 Profile A successful drug discovery scientist with 12 years experience in both small biotech and large pharma setting, working on projects delivering a candidate drugs from the bench to the clinic. Practical cell biology experience investigating small molecule pharmacology in both respiratory disease and oncology research fields. An accomplished communicator with strong analytical skills and a positive approach to team work. Key Skills Cell Biology  Culture of differentiated near primary bronchial epithelial cells (BECs) in 2D and 3D (bronchosphere) formats  Proliferation, migration and 3D growth assay with oncology cell lines General Biology  ELISA, Western blotting, Immunofluorescence, confocal microscopy, nucleic acid extraction and gene expression profiling Software  Spotfire, Graphpad prism, XLfit Employment History Novartis Institute for Biomedical Research (NIBR), Horsham UK 2011 – Present Scientist II Leading a small group specialising in respiratory epithelial ion transport – working with differentiated cultures of near primary bronchial epithelial cells to provide high quality screening data for several respiratory disease project teams as well as more bespoke studies for target validation and compound mode of action.  Design and execution of experiments for ion transport drug combinations and validation of literature targets for CFTR modulation  Assessment of a 3D organoid (bronchosphere) culture as a phenotypic screening tool  Investigation of the impact of cell culture medium on the differentiation of BECs in air liquid interface cultures using IF and RNA expression data  Exploratory work on models of live respiratory viral infection of BEC cultures including virus culture (RSV, hRV16, Influenza) and design of a low density Taqman array to probe epithelial host defence response to viral challenge  Working with an academic collaborator to transfer a new technology for increased assay throughput  Active participation in project teams including interpretation of data to facilitate decision making with a 3rd party collaborator  Report writing to support regulatory submissions 2010 – 2011 Scientist I Lab scientist with supervisory responsibility, coordinating the delivery of ion transport data to project teams in the respiratory disease department  Ussing chamber studies with diseased/non-diseased bronchial epithelial cells  Generation and presentation of decision making data to support clinical candidate selection for a respiratory disease project 2009 – 2010 Contract scientist (SRG) Lab scientist working on an ion transport project with a focus on infectious secretory diarrhea  Ussing chamber studies with both engineered and physiologically relevant cell lines  Data analysis and reporting to the project team
  • 3. Piramed Pharma, Slough UK 2007 – 2008 Senior Research Associate Key member of a research team identifying mutation hotspots that could cause resistance to a clinical candidate drug.  Design of resistance selection strategy  Optimisation of transfection conditions for retroviral library generation  Infection of target cell line and colony selection/expansion for gene sequencing. 2003 – 2007 Research Associate Member of the cell biology group running a range of in vitro assays supporting compound selection and target validation  In house set-up of cell line based in vitro assays to increase target validation o Migration or invasion through matrigel layer in transwell inserts o Growth of spheroids in semisolid methylcellulose  Sourced and implemented an automated microscopy system to enable quantification of stained tumour sections  Established qRT-PCR capability in house; purchased equipment and developed software skills in micro-array data analysis  Performing proliferation assays (Alamar Blue) in a range of cancer cell lines to support compound progression Millennium Pharmaceuticals R&D Ltd , Cambridge UK 2001 – 2003 Research Associate Responsibility for running all in vitro enzyme assays for a high priority oncology project. Carried out optimisation and troubleshooting of assays to ensure timely delivery of data for presentation at project team meetings in both UK & US.  Primary target and follow-up selectivity screening in an isolated enzyme HTRF assay  Competency in use of lab automation equipment including Multiprobe, Platemate Plus and Serialmate liquid handling systems Education 2000 – 2001 University of Nottingham UK  MSc with Distinction: Applied Biomolecular Technology  3 month research placement: Y Chromosome Analysis of the Wirral Population 1996 – 1999 University of Leeds UK  BSc (Hons) 2ii: Biochemistry and Molecular Biology Publications  Raynaud FI, et al Biological properties of potent inhibitors of class I phosphatidylinositide 3-kinases: from PI-103 through PI-540, PI- 620 to the oral agent GDC-0941. Mol Cancer Ther 2009; 8:1725–38.  Folkes AJ, et al The Identification of 2-(1H-Indazol-4-yl)-6-(4- methanesulfonyl-piperazin-1-ylmethyl)-4-morpholin-4-yl- thieno[3,2-d]pyrimidine (GDC-0941) as a Potent, Selective, Orally Bioavailable Inhibitor of Class I PI3 Kinase for the Treatment of Cancer. J Med Chem 2008; 51 (18): 5522-5532 INTERESTS Skiing/snowboarding Woodwork/Furniture making and upholstery