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Delaware Valley InnoVatIon network
December 2008
talent Gap analysis report Preparing Our Workforce for the Evolving Life Science Industry
PennsylvaniaNew Jersey
Delaware
Berks
Lancaster
Chester
Delaware
New CastleSalem
Cumberland
GloucesterCamden
Montgomery
Philadelphia
Bucks
Mercer
Burlington
Mission of the Delaware Valley Innovation Network
To accelerate the transformation of the life science industry in the tri-state, 14-county region into an internationally recognized center for excellence. DVIN will attract resources to support research, industry and human capital development.
Ta b L E O f C O N T E N T S
Overview 1
Phase I Talent Demand analysis 5
Phase II Talent Supply analysis 10
Phase III Talent Gap analysis and Recommendations 18
Talent Gap Analysis Report PRePARING OuR WORkfORce fOR The eVOlVING lIfe ScIeNce INDuSTRy
Diagram 1
The DVIN Region
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PennsylvaniaNew Jersey
Delaware
Berks
Lancaster
Chester
Delaware
New CastleSalem
Cumberland
GloucesterCamden
Montgomery
Philadelphia
Bucks
Mercer
Burlington
OverviewTheTalentGapAnalysisReportwasconductedbytheDelawareValleyInnovationNetwork(DVIN),whosemissionistoacceleratethetransformationofthelifescienceindustryinthetri-state,14-countyregionthroughenhancedworkforcetrainingprograms(Diagram 1).1 TheDVINinitiativeisfundedbytheU.S.DepartmentofLaborthroughtheWorkforceInnovationinRegionalEconomicDevelopment(WIRED)initiative.
TheTalentGapAnalysisReportisdesignedtoidentify,evaluateandprioritizecurrentandanticipatedgapsintheregion’slifescienceworkforce.TheDelawareValleyregioncanusethisReporttoaddressthesegapsthrougheducationandoutreach,humancapitaldevelopment,andregionalcollaborationandknowledgesharing.TheTalentGapAnalysisReporthasalreadyplayedaninstrumentalroleinbringingtogetherkeypartnersinthisdiversetri-state,14-countyregionincludinglifesciencecompanies,workforceandtraininginstitutions,universitiesandcommunity
1 DVIN’s tri-state, 14-county region includes: New Castle (DE); burlington, Camden, Cumberland, Gloucester, Mercer, Salem (NJ); and berks, bucks, Chester, Delaware, Lancaster, Montgomery, Philadelphia (Pa).
collegesandeconomicdevelopmentpolicymakers.Whilemanylifesciencestudieshavebeenconductedindependentlyintheregion,thisisthefirstcomprehensivestudythatspecificallyevaluatestheworkforcedemandsofthelifescienceindustry,andthesupplyandtheabilityofregionalworkforce,andtheeducationandtraininginstitutionstodeliveracompetitiveworkforcetotheindustry.
TheDelawareValleyrepresentsoneofthetoplifesciencehubsinthecountry.DVINrecognizesthatcontinuousscientificandtechnologicaladvancementrequiresaskilledworkforcetoensurethatcompaniesremaincompetitiveandworld-class.Asthelifescienceindustryexpandsandistransformedbynewtechnologies,newskillsandcompetenciesarerequiredforthisevolvingworkforce.Torespondtotheseneeds,DVINhascommissionedthisTalentGapAnalysisReporttobetterunderstand,expand,andrefinetheregion’sworkforcepipelineforthelifescienceindustry.
continuous scientific and technological advancement requires a skilled workforce to ensure that companies remain competitive and world-class.
2 2 The list of reports and studies reviewed and analyzed as part of this Talent Gap analysis Report can be found on DVIN’s website www.delawarevalleyinnovationnetwork.com.
DVINhasdefinedlifesciencestoincludebiotechnology,pharmaceuticals,medicaldevices,medicalequipmentandresearchanddevelopment.ThecontentinthisTalentGapAnalysisReportpertainsspecificallytothesesectorswhicharedesignatedbythecorrespondingNorthAmericanIndustryClassificationSystem(NAICS)codeslistedin (Diagram 2).
ThisTalentGapAnalysisReportwasinitiatedtohelptheregionassesshowthetalentneedsofitslifescienceindustryarechangingandhowtheworkforcesystemshouldadaptasaresult.TheTalentGapAnalysisReportconsistsofthreephases:Phase I: Talent Demand Analysis; Phase II: Talent Supply Analysis;andPhase III: Talent Gap Analysis and Recommendations.
In Phase I, atalentdemandanalysiswasconductedtoassesscurrentandfutureworkforceneedsintheDVINregion’slifescienceindustry.Adata-drivenapproachwasadoptedusingbothquantitativedataandqualitativedataobtainedfrominterviewswithregionallifesciencecompanies.RegionalandnationallifesciencereportsandstudieswerealsothoroughlyreviewedforthisTalentGapAnalysisReporttobenefitfrompreviousinsightgarneredintheseindependentreports.2Analysisofeconomicand
workforcedatawasthenusedtoidentifywhichoccupationsrankmostimportanttotheregion’sevolvinglifescienceindustry,aswellaswhichskillsandcompetencieswereemergingasimportantcomponentstoacompetitiveworkforce.The Phase I: Talent Demand Analysis providesaclearpictureofperceivedworkforceshortages,skillgaps,traininggapsandoverallcurrentandfutureworkforcerequirementsoftheindustry.
In Phase II, atalentsupplyanalysiswasconductedtoprovideasnapshotoftheeducationalandoccupationalpipelineforDVIN’slifescienceindustry.ThisTalentSupplyAnalysisconsistsofthreemajorcomponents:TheLifeScienceCareerLattice,theLifeScienceProgramInventoryandCollaborativeLifeScienceTrainingModels.
TheLifeScienceCareerLattice,acareerpathwaysdocument,mapsjobfamiliesandprovidesinformationonkeylifescienceoccupationsintheDVINregion.TheLifeScienceCareerLatticewasdevelopedbycustomizingregionalandnationalcareerpathwaysidentifiedinpreviousresearch.InputfromindustryrepresentativesfromregionalfirmswasusedtovalidatetheLifeScienceCareerLattice.
Pharmaceutical and Medicine Manufacturing
electromedical and electrotherapeutic Apparatus Manufacturing
DVIN’s life Science Definition for the purposes of the DVIN Talent Gap analysis Report, the following industries were included:
Analytical laboratory Instrument Manufacturing
Irradiation Apparatus Manufacturing
Medical equipment and Supplies Manufacturing
Testing laboratories
Research and Development in Biotechnology
Physical, engineering, and biological research (except biotechnology)
NAIcS code
Diagram 2
3254 334510 334516 334517 3391 54138 541711 541712
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TheLifeScienceProgramInventorydocumentsthepostsecondaryeducationalprogramswithintheregiondesignedtopreparethecurrentandfuturelifescienceworkforce.AftercompilingapreliminarylistofaccreditedinstitutionsfromtheDepartmentsofEducationinDelaware,NewJerseyandPennsylvania,eachoftheseinstitution’sacademicofferingsweresurveyedtoidentifytheirlifescienceprogramsintheDVINregion.
InterviewswithindustrymembersanddiscussionswitheducationstakeholdershelpedindentifyexemplaryprogramsthroughouttheregionwhicharelistedintheCollaborativeLifeScienceTrainingModelsdocument.Theseprogramsareexamplesofregionalcollaborationamongeducationalinstitutionsandindustrythatcontinuetomeetthelifescienceindustry’sworkforceneedsandserveasmodelsonhowtosatisfyemergingandexistingworkforceneeds.
Phase III: Talent Gap Analysis and Recommendations representsthe“heart”oftheTalentGapAnalysisReportandprovidesworkforceinformationthatcomparesthedocumentedindustryneedsfromPhase I: Talent Demand AnalysistotheinfrastructureofsupplyintheregionasdocumentedinPhase II: Talent Supply Analysis. AdditionalresearchtoclarifyandsupplementfindingsfromPhase I andPhase II wasgatheredduring Phase III. Webinarsandfocusgroupinterviewswereconductedwithrepresentativesfromeducationalinstitutionsandotherworkforcetrainingproviderstodiscussthefindingsandtoelicittheirfeedback.Thisincludedperceptionsofexistingworkforcetrainingbarriers.ThefindingsoftheTalentGapAnalysisReportspanalloccupationalcategoriesforthelifescienceindustryandfocusparticularlyonoccupationsthatwillresultinthelargestnumberofnetnewjobsandnewandemergingoccupationsthatwillimpactthegrowthandsuccessofthelifescienceindustryinthefuture.
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TheTalentGapAnalysisReportcomesatanimportanttimefortheregion’slifescienceindustry.Afterseveralyearsofjoblosses,decliningpatentcreationratesandshrinkingventurecapitalinvestments,thefutureoftheindustryfacesastateofchange.Drugdiscoveryhasbecomemorechallenginginrecentyears,astheefficacyofsomenewdrugshasbeencalledintoquestion,andtheFoodandDrugAdministrationhasadoptedmorestringentregulations.Inaddition,patentexpirationshavethreatenedthesustainabilityofrevenuestreamsformanylargecompanies.CompetitionfromcompaniesindevelopingcountrieshasaddedtotheinstabilityintheU.S.lifescienceindustry,andreducedfederalfundinginlifesciencesthreatensinnovationandcompetitivenessintheregion.
Asaresult,aparadigmshifthasoccurredthroughouttheentirelifescienceindustry.Largecompaniesnowlooktosmallercompaniestoformpartnershipsthroughoutthediscovery-design-deliverycontinuum.Medium-sizecompaniesmanagemultiplefacetsoftheprocesstobringnewdrugsanddevicestothemarket,whilesmallerstart-upstakeonsignificantriskandinvestmenttocreatethenextgenerationofproductsandintellectualpropertyfor
ultimateacquisitionbylargercompanies.Fromtheoutside,theindustryappearstobeturnedupsidedown,jobgrowthinlargecompaniesisflatordeclining,whilesmallercompanieshavetheagilityandflexibilitytocapturenewmarketsandopportunities(Diagram 3).Tobecomemoreentrepreneurial,small-tomedium-sizecompanieshaveempoweredworkerstotakeonbroadanddiverseresponsibilitieswithinthecompany,acrossalllevelsofworkers.Thisnewindustryenvironmentpresentsopportunity,riskandpotentialrewardforbothcompaniesandworkers.
Thelifescienceindustryandindividuallifesciencecompaniesareevolvingquickly.Asaresult,thelifescienceworkermustevolveaswell.ThisTalentGapAnalysisReportaimstoidentifyhowthelifescienceworkforcemustevolveinordertostaycompetitive,forthebenefitoftheemployer,oftheindividualworkerandoftheindustryasawhole.OngoingcollaborationamongDVIN’spartnersisvitalfortheregiontosuccessfullystaycompetitiveinthe21stcentury.ThefullbodyofresearchoftheTalentGapAnalysisReportcanbefoundontheDVINwebsite:www.delawarevalleyinnovationnetwork.com
Job growth in large companies is flat or declining, while smaller companies have the agility and flexibility to capture new markets and opportunities.
Diagram 3
the life Science Industry Paradigm Shift
Small- and medium- Size companies
big companiesSource: Economy Strategies, LLC
Jobs
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Inordertobetterunderstandtheworkforceneedsoflifesciencecompanies,ageneralmarketanalysisofthelifescienceindustrywasconductedatbothanationalandregionallevel.Onthenationallevel,severalkeytechnologiesaredrivingtransformationwithinthelifescienceindustry.Theseincludenewnanotechnologyapplicationsinmedicine;improvedimagingtechnologiesfordiagnostics;arisingimportanceofinformationtechnologyindrugdiscoveryandresearch;newdeviceimplanttechnologies;andfastergenesequencingtechnologies.
Numerousdemand-sidefactorswillaffectthelong-termgrowthofthelifescienceindustry.Thesefactorsincludeagingpopulationsandincreasinglongevity;growingmarketsandwealthindevelopingcountries;increasingurbanizationandspreadofdisease;andgrowingmarketsforbio-basedproductssuchasbioplasticsandbiofuels.
LifescienceindustrytrendsintheDVINregionwereexaminedtogainabetterunderstandingofpastandfutureemploymenttrends.Thepastfiveyearsreflectashiftintheregionfrommanufacturingtoresearch,andwhilesomemanufacturingreboundisexpected,manyuncertaintiesremain,particularlyforlargepharmaceuticalcompanies.Anothersignificantshifthasbeenthetransferofgrowthfromlargecompaniestosmallerentrepreneurialcompanies.Thisalsoreflectsnewrisk-sharingbusinessmodelswherelargecompaniesacquireorpartnerwithsmallercompaniesinthedevelopmentofnewproducts.
Aforecastfortheregionpointstoareboundinlifescienceindustryjobgrowthrepresentinga4.2%increaseinadditionaljobsoverthenextfiveyearsafteradeclineof0.5%overthepreviousfiveyears.
PhaseThe life science industry is expected to gain additional jobs over the next five years, a 4.2% increase.
I Talent Demand analysis
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Growthinlifescienceswillonlyslightlyoutpacetherestoftheregionaleconomy,whichisexpectedtogrowby3.7%overthenextfiveyears.Medicaldevicesareexpectedtogrowsignificantlywhilepharmaceuticalmanufacturingandresearchserviceswillhavemoremoderateemploymentgrowth (Diagram 4).
Despitepastemploymentdeclines,theDVINregioncontinuestobeanationalleaderinlifesciences,particularlyinpharmaceuticalswhereitsemploymentconcentrationpercapitais30%greaterthanthenationalaverage.3Theregionalsomeasuresstrongly
intermsofitscapacityforfutureinnovationandgrowth,withapatentconcentrationtwicethenationalaverageinpharmaceuticals.4Theregioniswell-financedforthefuturegrowthofsmallcompanies,withaconcentrationofventurecapitaltwicethenationalaverageforbothbiotechnologyandmedical/lifesciencetechnology.5Adedicatedandcompetitiveworkforcepipelineisneededintheregioninordertomaintainitsstrengthintheseareasandtoensurethatcurrentassetsinintellectualpropertyandstart-upfinancingareleveragedtodrivegrowthinthelifescienceindustry.
3 New Economy Strategies, LLC using data from Economy.com 4 New Economy Strategies, LLC using data from 1790 analytics 5 New Economy Strategies, LLC using data from Thompson financial
2003 employment
employment Growth Trends (in thousands)
Diagram 4
2008 employment 2013 Projected employment
Research Services
Medical Devices
Pharmaceuticals*
Medical equipment*
36.3
18.9
2.8
8.7
1.6
.3.8
31
24.8
8.6
3.1
1.5
.3.9
1.9
.3.8
8.7
37.7
20
2.8
Source: NES based on data from USbLS and Economy.com
5 year Growth17.3% - 8% 1% 3%2003-2008 -12% 9% -24%
3.7% - 2% 0% 15%2008-2013 0% 20% 6%
Testing laboratories
Research & development in physical, engineering, and life sciences
Irradiation Apparatus Mfg.
Analytical laboratoryInstrument Mfg.electromedical & electrotherapeutic Apparatus Mfg.
Total-.5%
4.2%
*Note: Includes companies that manufacture in the region. Companies that are early stage design or offshore models are included in Research Services.
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Inconductingtheoccupationalanalysis,DVINselectedasubsetof88occupations,includedinDVIN’sdefinitionoflifesciences,employedbycompaniesinthetri-state,14-countyregion.Thissubsetoflifescience-relatedoccupationsrepresents52%ofallworkersemployedbytheindustry,anddoesnotincludeadministrativeorsalespositions.Aforecastofalllifesciencejobswasmeasuredtounderstandfutureworkforceneeds.TheDVINregioncanexpectatotalof10,149jobopeningsinthelifescienceindustryoverthenextfiveyears;2,790netnewjobopenings,and7,359replacementjobopenings(Diagram 5).
Occupationsinthesciences(biology,chemistryandphysics),production,engineeringandIT(computer,software)areexpectedtocreatealargeshareoftotalnewjobsinthelifescienceindustry,whiletechnicianjobswillaccountforarelativelysmallshare.Inaddition,thetotalnewjobopeningswithinDVIN’slifescience-relatedoccupationswillrepresent62%ofthetotaljobopeningsby2013,upfrom52%in2008.Thegrowthinthepercentageoflifescience-relatedoccupationsinthenextfiveyearsindicatesthathighlyskilledlifescience-relatedworkerswillbecomemoreimportanttothelifescienceindustryinthefuture.
forecast of Occupations
Diagram 5
2008 Occupations
Employment Employment NetNew Replace- TotalJob LifeScienceRelatedOccupations 2008 2013 Jobs mentJobs Openings Biology/chemistry/Physics 10,332 10,954 622 1,464 2,086
Production/Repair 9,576 9,927 351 867 1,218
computer/Software 5,066 5,397 331 529 860
Industrial/electro/Mechanical engineers 5,603 5,899 296 660 956
clerks/Writers 1,490 1,542 52 192 244
Technicians (lab/clinical) 2,070 2,111 41 183 224
Math/Statistics 526 544 28 71 99
Total life Science-Related Occupations 34,663 36,384 1,721 3,996 5,687
All Occupations in the life 66,600 69,390 2,790 7,359 10,149 Science Industry
NetnewjobsrepresenttheoverallgrowthinthenumberofpositionsinanoccupationReplacementjobsrepresentthenumberofpeopleleavingtheoccupationduetocareeradvancement,retirement,orcareerchangeTotaljobopeningsareacombinationofnetnewjobsandreplacementjobsbetween2008and2013
Source:NewEconomyStrategies,LLCbasedondatafromtheU.S.BureauofLaborStatistics
***
***
9,576 9,927
10,954
5442,111
5,899
5,397
life Science-Related Occupations 34,663
life Science-Related Occupations 36,384
Other Occupations in Life Science Industry33,006
* ** ***
Biology/chemistry/PhysicsProduction/Repaircomputer/SoftwareIndustrial/electro/Mechanical engineersclerks/WritersTechnicians (lab/clinical)Math/StatisticsOther Occupations in life Science
2013 Occupations
Other Occupations
in Life Science Industry
31,937
1,490 1,542
10,332
5262,070
5,066
5,603
8
The Top 10 Job Creators (Diagram 6),whicharethecurrentoccupationsinmostdemandbythelifescienceindustryandcreatethelargestnumbersofjobs,alsodrawheavilyfromascience,engineeringandITbackground.Onlyoneoccupationisaproductionposition,teamassemblers.Thisreflectsageneraldeclineinthedemandforamanufacturingworkforceandariseindemandforaresearch-relatedworkforce.
Asasupplementtothequantitativedataanalysis,inputwasgatheredfromlifesciencecompaniesthroughinterviewsandfocusgroupsinordertogaininsightintocurrentandfutureworkforceneedsforregionalemployers.Interviewswithindustryreinforcednationalandregionaldata:growthisexpectedtooccuratsmall-andmedium-sizecompanies.Inaddition,theinterviewsprovidedinsightastohowthisgrowthimpactsthetalent,skillsandcompetenciesneededwithintheirlifesciencecompanies.
Intheinterviews,companieswereaskedtoidentifythelifescienceoccupationsmostdifficulttofillandthenon-technicalandtechnicalskillsmostdifficulttofind.Whendiscussingoccupations,someinterviewsrevealedaneedforcontinuedaccesstoproductionworkers.Alargernumberofinterviewsidentifiedbioinformatics,financialoperations,medicalscience,microbiology/biochemistry,qualityassurance,regulatoryaffairs,andtechnicalwritingasthemostdifficultoccupationstofill(Diagram 7).AswiththeTop10JobCreators,theseoccupationsidentifiedasmostdifficulttofillrequireahighlevelofeducationorspecializedtraining.
Whendiscussingthenon-technicalandtechnicalskillsthatweremostdifficulttofind,theinterviewsrevealedthatthenon-technicalskillsincludedpeopleskills,entrepreneurialskills,teamwork,leadership,andcommunicationskills.Keytechnicalskills
occupationsemployment
2008Growth‘08-’��
net newJobs
replacementJobs
total Jobopenings
Medical scientists**** 2,080 7.5% 155 322 477
computer software engineers, applications 910 14.1% 128 66 194
Industrial engineers 837 14.5% 121 101 222
Biological technicians 1,660 7.3% 121 296 417
computer software engineers, systems software 1,062 8.7% 92 78 170
chemists 1,954 3.9% 77 258 335
computer systems analysts 723 8.7% 63 96 159
Biochemists and biophysicists 796 7.3% 58 81 139
Team assemblers 1,487 3.5% 52 155 207
chemical technicians 1030 4.4% 45 172 217
Top Ten Job creatorsDiagram 6
******
* Net new jobs represent the overall growth in the number of positions in an occupation
** Replacement jobs represent the number of people leaving the occupation due to career advancement, retirement, or career change
*** Total job openings are a combination of net new jobs and replacement jobs between 2008 and 2013
**** This occupation does not include epidemiologists
Source: New Economy Strategies, LLC based data from the U.S. bureau of Labor Statistics
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difficulttofindincludedresearch-focuseddatabaseskillsandsoftware-controlledinstrumentexperience(Diagram 8).
Acommonthreadthroughouttheinterviewswasanemphasisonatransformationofskillsandcompetenciesinthelifesciences.Companiesdemandedscientificexpertiseinareassuchasbiologyandchemistrycombinedwithleadershipandcommunicationskills.Aboveall,employersemphasizedthatflexibilityandadaptability(sustainedbycross-traininginscienceandnon-technicalskills)areessentialforthesuccessofbothindividualsaswellastheoveralllifescienceindustryintheDVINregion.Theseflexibleworkerswillbeexpectedtohavetheskillsthatallowthemtomeetthediversityofresponsibilitiesneededbygrowingsmall-andmedium-sizelifesciencecompanies.Evidencefromthedataandfrominterviewsunderscoresashiftinthelifescienceindustry.Thelifescienceindustryisshiftingtowardgrowthinsmallercompanies,andtowardnewskillsandcross-trainedcapabilitiesthatareattheintersectionofscience,businessandtechnology.Workersmustnowhavebothscienceandnon-technicalskillsandbeadaptabletochange.Newskilldemandsbycompanies,pluslackofcareerstability,meansthattoday’slifescienceworkersmustexpandbeyondtraditionalscienceeducation.
non-technical and technical Skills most Difficult to Find
» communication skills
» creativity/people skills
» Diversity of knowledge
» entrepreneurial skills
» flexibility
» horizontal teamwork
» leadership
» Research focused database skills
» Software controlled instrument experience
Diagram 8
Source: New Economy Strategies, LLC based on industry interviews in the DVIN region
Source: New Economy Strategies, LLC based on industry interviews in the DVIN region
Diagram 7
life Science occupations most Difficult to Fill
» Biostatistics/informatics, database administration
» financial operations
» Medical scientists, chemists, medical affairs
» Microbiologists/biochemists
» Production/process workers
» Quality assurance
» Regulatory affairs
» Technical writers
The life science industry is shifting toward growth in smaller companies, and toward new skills and cross trained capabilities that are at the intersection of science, business and technology.
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WhilePhase I: Talent Demand AnalysisofthisReportanalyzesthecurrentandfuturetalentdemand,Phase II: Talent Supply Analysis examinesthecurrenteducationalandtrainingresourcesavailabletomeetthecurrentandfuturedemand.TodocumentthejoboccupationscurrentlyavailableintheDVINregion’slifescienceindustry,researchonjobfamiliesandjobtitleswasgatheredfromsourcesincludingtheUSDepartmentofLabor,BIOCOM,theBiotechnologyBenchmarkCompensationReport,andBio-Link.Theresultingworkforcetool,theLifeScienceCareerLattice,waspresentedtoregionlifesciencecompaniestovalidate.TheregionallifescienceeducationalprogramsintheLifeScienceProgramInventoryweredocumentedthroughextensiveresearchofpubliclyavailableinformationoftheregion’saccreditedpostsecondaryeducationalandtraininginstitutions.Inordertoprojectpotentialfutureprogrammaticgapswithintheeducationalsystem,twoyearsofthemostrecentprogramcompletiondata(2004-2006)fromtheIntegratedPostsecondaryEducationDataSystem(IPEDS)wascompiledandcomparedtotheoccupationalforecastsinPhase I: Talent Supply Analysis.
life Science career latticeTheLifeScienceCareerLatticeisaneffectivetoolfornavigatingcareerpathwaysinthelifescienceindustry.TheCareerLatticeservesasaresourcetorepresentativesoflifesciencecompaniesandeducationalinstitutionswhoprovideinformationtopotentialworkersaboutcareerpathsandopportunitiesinthelifesciences.TheCareerLatticeincludes52jobtitlesfromthe88lifescienceoccupationsidentifiedinthe Phase I: Talent Demand sectionofthisReport.6
The52jobtitleswereorganizedintoninejobfamilies.Theorderofthejobtitlesreflectscommoncareerpathwayswithineachjobfamily (Diagram 9).Lifescienceworkersdonotalwaysfollowthedelineatedjobtitleprogressionswithinthesejobfamilies,andtheymaymovefromonejobfamilytoanother.Diagram 10isanexamplefromtheLatticerepresentingthebioinformatics/datamanagementjobfamily.Eachjobtitlehasajobdescription,requirededucationandexperience,andasalaryrange.ThecompleteLifeScienceCareerLatticecanbefoundatDVIN’swebsitewww.delawarevalleyinnovationnetwork.com.
PhaseTalent Supply analysisII
6 Not all 88 life science-related occupations are included in the Lattice because multiple occupations can be found under one title or some of the occupations were not used consistently by industry.
MANufAcTuRING
reSearch DIScoVery
MeDIcAl AffAIRS/eDucATION ��
Drug Safety coordinator
clinical Research Associate (Medical Devices)
clinical Research Associate
Medical Writer
Senior clinical Research Associate
Senior Medical Writer
Drug Safety Writer
clInIcal DeVeloPment
clinical/Scientific Programmer Analyst
clinical Data Associate
Biostatistics Associate
Bioinformatics Scientist
Bioinformatics Manager
BIOINfORMATIcS/DATA MANAGeMeNT
Biomedical Technician
Instrumentation/calibration Technician
Occupational health and Safety Specialist/engineer
Safety Manager
FacIlItIeS
Process Development Operator
Process Development Technician
Process Development engineer (Medical Devices)
Process Development Associate
Process Development Scientist/engineer
PRODucT/PROceSS DeVelOPMeNT
Glasswasher
Greenhouse Assistant
laboratory Assistant
Animal Technician
Research Assistant
Research Associate
Senior Research Associate
Principal Research Associate
Veterinarian
Molecular Modeler
Post Doctorate Scientist
DocumentationReGulATORy
QuAlITy
Director of Quality
Quality Assurance Documentation Specialist
Quality control Analyst
Quality control Technician
Validation Specialist
Production /external Trainer
Diagram 9
life Science career lattice occupations
Job TitleJOB fAMIly
Packaging Technician
Material handler
Team Assembler
Manufacturing Technician
Aseptic fill Technician
Assay Analyst
Manufacturing Associate
Manufacturing Instrumentation/calibration Assoc.
Production Planner Scheduler
Biochemical Development engineer
logistics/Supply-chain Manager
Senior Manufacturing Associate
Manufacturing Scientist/engineer
�2
Diagram 10
example of life Science career lattice
Bioinformatics/Data Management
title Description education and experience Salary range
clinical/Scientific Programmer analyst Designs,develops,evaluatesandmodifiescomputerprogramstoanalyzeandevaluate BSincomputerscience,engineeringor $63,000-$82,000 clinicaldata;recognizesinconsistenciesandinitiatesresolutionofdataproblems; relatedscientificdisciplineand0-3years providesexpertiseinthedesignanddevelopmentofclinicaltrials,protocols, ofrelatedexperience andcasereportforms
clinical Data associate Ensuresthevalidityofclinicaltrials,formatstrialsforstatisticalpurposes;responsible BSand1-3yearsclinicaldatamanagement $39,000-$53,000 forsettingupdatabases,trackingandmanagingdatafromallclinicaltrialsites;works experience;databasemanagementexperience withsupervisorstoestablishproceduresfordatareviewandentry,andassistsinthe ishelpful reviewofdata
biostatistics associate Providesstatisticalsupportforclinical,pre-clinical,andotherdesignatedprojectswithin BSand10yearsofexperienceorMSand $79,000-$91,000 clinicaldevelopment;providesaccuratedatatoobtaintimelyregulatoryagency 5-7yearsofexperienceorPhDand2years approvalofproducts industryexperience
bioinformatics Scientist Developsalgorithmsforintegratingfunctionalknowledgeaboutgenestohelpscientists MSorPhDinbioinformatics,statistics, $84,000-$94,000 analyzeandinterpretgeneexpressiondata;assistsindevelopingsoftwaretoautomate biochemistry,computationalchemistryor dataretrievalandanalysis;workswithscientistsacrossorganizationtodevelop relatedfieldand1-4yearsindustryexperience statisticalmethodsforgeneanalysis
bioinformatics manager Directsthedesign,development,implementation,andmaintenanceofthebioinformatics PhDand4-6yearsofexperience $112,000-$125,000 functionandoverallresearchcomputingcapability;overseesthecomputational infrastructureandcontrolstheflowofsamplesandinformationforlarge-scalestudies; providestheorganizationwithbothshort-andlong-terminformationmanagement strategiesthatwillhelptheorganizationmeetitsbusinessobjectivesbydevelopingan informaticsdatabasestrategy,includingtheincorporationoflargedatabasesfrom collaborations,strategicalliances,andresearcheffortswhiledevelopingandmaintaining applicationssystemsforthemanagementandanalysisdata;developsnovelinformatics tools,andexploitsemergingWebtechnologies;providesWeb-basedbioinformaticsand accesstopublicandproprietaryrelationaldatabases;developsandappliescomputational tools;buildsandmanagesastaffofinformationsystemsprofessionalsandworksin collaborationwithdrugdiscoveryprojectteams;mayreporttoanotherarea,suchas researchdiscovery,marketing,orbusinessdevelopment
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Postsecondary life Science educationThetri–state,14-countyDVINregionishometomanycollegesanduniversitieswithworldrenownedprogramsthatprovideeducationandtraininginlifesciences.DVINcreatedaLifeScienceProgramInventorythatincludes241lifescienceprogramsrepresenting56accrediteddegree-grantingeducationalinstitutions.Thesedocumentedprogramsfallintothefollowinglifescience-relatedacademicareas:biologicalandbiomedicalsciences;pharmaceuticalsciencesandadministration;animalsciences;business,marketingandmanagement;engineering/technology;multi/interdisciplinary;andsomeprogramsinhealthandclinicalsciences.7TheLifeScienceProgramInventorydoesnotincludegeneralbiologyandgeneralchemistryprograms.8ThecompleteLifeScienceProgramInventorycanbefoundonDVIN’swebsite, www.delawareinnovationnetwork.com.
InadditiontothetraditionalprogramsdocumentedwithintheLifeScienceProgramInventory,interviewswithindustryandoutreachtohighereducationandlifescienceassociationsyieldedseveralexamplesofregionaltrainingcollaborationsthatexistbetweeneducationalinstitutionsandindustryatthepostsecondarylevel.Industry-academiccollaborativetrainingpreparesstudentsforfurtherstudyandeventualemploymentinthelifescienceindustryandhighlightsinnovativeinter-institutionalapproachestomeetingindustry’sspecializedneeds.AlistofthesecollaborativetrainingmodelsintheregioncanbefoundonDVIN’swebsite,www.delawareinnovationnetwork.com. Thesemodelscanserveastemplatesforfutureprogramstomeetexistingoremergingindustryworkforceneeds.
availability of life Science educational ProgramsTheregion’slifescienceeducationalprogramsoffermuchdiversity.
The life Science Program Inventory includes 241 life science programs representing 56 accredited degree-granting educational institutions.
However,accesstotheseprogramsisnotevenlydistributedthroughouttheDVINregion.Thisissueofgeographicaccessibilityisexacerbatedbystructuralfactorsincludingdifferencesinthestates’highereducationpoliciesandpractices,financialissuessuchasout-of-statetuitionandinter-institutionalreciprocityandcollaborationagreements.
PhiladelphiaCountyoffersthemostprograms(111)followedbyMontgomeryCounty(23),MercerCounty(21)andNewCastleCounty(18)(Diagram 11).Thesethreelattercountieshaveahigherthannationalaverage(27%)oftheirover25yearsofagepopulationwithBachelor’sdegrees.Generally,theareaswiththeleastlifescienceprogramsalsohavethelowestpopulationsandeducationalattainmentlevelsinthetri-state,14-countyregion.Cumberland,SalemandGloucestercountieseachhavefewerthanfivelifescienceprograms,educationalattainmentlevelsbelowthenationalaverageandfewerthan2,000lifescienceworkerspercounty.TheexceptiontothisruleisBurlingtonCounty.AlthoughBurlingtonCountyhasahigheducationalattainmentrate(31.2%ofpeopleover25yearsoldpossessaBachelor’sdegree)andover2,000lifescienceworkersresidingwithincountylimits,thecountycurrentlyoffersonlytwolifescienceprograms.
PhiladelphiaCountyalsodivergesfromsomeoftheaforementioneddemographictrends.Thoughithasthehighestpopulationamongall14countiesandalargenumberoflifescienceprograms,onlyonelifescienceprogramisavailablebelowthebaccalaureatelevel.Sinceonly20.7%ofpeopleage25andoverholdaBachelor’sdegree,difficultiesmayariseinbuildingarobustlifescienceworkforcepipelinefortheadultpopulationasadultlearnerstypicallyenterpostsecondaryeducationthroughtwo-yearorcommunitycollegeprograms.
8 General biology and general chemistry programs were not included in the Life Science Program Inventory because they are academic offerings commonly found throughout the Delaware Valley region.
7 Through healthcare falls outside DVIN’s life science industry definition, selected health and clinical programs were included in the Life Science Program Inventory because positions in both healthcare and life science industries are viable career options.
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PennsylvaniaNew Jersey
Delaware
Berks
Lancaster
Chester
Delaware
New CastleSalem
Cumberland
GloucesterCamden
Montgomery
Philadelphia
Bucks
Mercer
Burlington
Diagram 11
Life Science Educational Programs by County Bucks• 7 programs• 1 general biology• 2 general chemistry
Montgomery• 23 programs• 8 general biology• 4 general chemistry
Philadelphia• 111 programs• 9 general biology• 9 general chemistry
Berks• 11 programs• 4 general biology• 4 general chemistry
lancaster• 9 programs• 3 general biology• 3 general chemistry
chester• 9 programs• 3 general biology• 3 general chemistry
Delaware• 15 programs• 9 general biology• 6 general chemistry
New castle• 10 programs• 2 general biology• 1 general chemistry
Salem• 3 programs• 0 general biology• 0 general chemistry cumberland
• 0 programs• 0 general biology• 0 general chemistry
Gloucester• 1 program• 2 general biology• 1 general chemistry
camden• 11 programs• 1 general biology• 1 general chemistry
Burlington• 2 programs• 0 general biology• 0 general chemistry
Mercer• 21 programs• 2 general biology• 3 general chemistry
Delaware
New Jersey
Pennsylvania
Programs = Life science programs in the Life Science Program Inventory excluding general biology and general chemistry programs
Source:LifeScienceProgramInventoryandIPEDS
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education and training GapsOverall,thenumberofDVINregion’sgraduateswithdegreesrelevanttothelifescienceindustryhasexperiencedstronggrowthoverthepastfewyears.InformationfromtheIntegratedPostsecondaryEducationalDataSystem(IPEDS)revealsthatalllifescience-relevantdegreelevelsintheregionhaveincreased30%overatwo-yearperiod(from2004to2006)inthenumberofcompletionsinthefollowingareas:chemistry;biologicalandbiomedicalsciences;pharmacy,pharmaceuticalsciences,andadministration;clinical/medicallaboratorysciencesandalliedprofessions;multi/interdisciplinarylifesciences(biologicalandphysicalsciences,neuroscience,andbiopsychology);andbiomedical/medicalengineering.In2006,theseprogramsproduced3,860graduatesatvariousdegreelevels,including2,206graduateswithbiologicalandbiomedicalsciencemajors(whichincludesgeneralbiology)fromAssociatetoPh.D.levels (Diagram 12).
Asthenumberoflifesciencegraduateshasgrown,thenumberof
computersciencegraduateshasbeendramaticallydecliningoverthepastfewyears.From2004to2006,thenumberofgraduateswithmajorsclassifiedundercomputerandinformationsciencesandsupportserviceshasdeclined25%acrossalldegreelevels (Diagram 12).Thelifesciencecompaniesthatrelyonoccupationsrequiringthiseducationalbackgroundwillhavetocontendwithpossiblefuturedeclinesingraduatesaswellascompetitionfromotherindustriesthatrequiresimilarmajors.
Inadditiontogeneralgraduationtrends,theIPEDSdataallowstheregiontoanticipatepotentialgapsintalentdemandandsupply.Comparisonsbetweentheprogramcompletiondatafrom2004to2006andtheprojectionsforfutureoccupationalgrowthindicatethattheDVINregionshouldproduceenoughgraduatesinrelevantlifesciencedegreestofilltheyearlyaverageopeningsforthemajorityoftheTop10JobCreatoroccupations.Forexample,therewillbe83averageyearlybiologicaltechnicianopeningsexpectedoverthenextfiveyears.Meanwhile,1,752averageyearly
All life science-related degrees in the region have increased 30% between 2004-2006.
Degree 2006
Total (2004- 2006)
Average (2004-2006)
Trend (2006 vs.
Average)2-yr Growth (2004-2006)
computer and information sciences and support services (associate to PhD) 2561 8741 2914 Down -25%chemistry (associate to PhD) 537 1445 482 Up 25%Biological and biomedical sciences (associate to PhD) 2206 6088 2029 Up 20%Pharmacy, Pharmaceutical Sciences, and Administration (bachelor to PhD) 204 581 194 Up 25%clinical/Medical laboratory Science and Allied Professions (associate to bachelor) 198 509 170 Up 175%Biological and Physical Sciences (associate to bachelor) 393 1043 348 Up 39%Neuroscience (bachelor to PhD) 136 366 122 Up 56%Biopsychology (bachelor) 14 40 13 Up 8%Biomedical/Medical engineering ( bachelor to PhD) 172 395 132 Up 98%
Graduating Students by life Science-Related Degrees
Diagram 12
Source: IPEDS
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graduateshavereceivedrelevantdegreestofilltheseopeningscreatedbygrowthandturnoverduringthe2004to2006timeperiod (Diagram 13).
WhilethedataandtrendsindicateenoughgraduatesshouldbeavailabletofillprojecteddemandintheTop10JobCreatoroccupations,theDVINregionmustcontinuetomonitorthegraduatesoftheseprogramsandtheindustry’sabilitytofilljobswithintheseoccupationsoverthenextfewyears.Migrationofgraduatesoutoftheregion,delaysenteringtheworkforce(e.g.,continuedstudy)andcompetitionfromotherindustrieswillaffectthelifesciencecommunity’saccesstothesegraduates.
AnimportantchallengefortheDVINregionistrainingtalentforlifescienceoccupationsthatrequirecomputerandinformationsciencebackgrounds,suchascomputersoftwareengineers,computersystemsanalysts,biomedicalengineersandlogisticians.
TheDVINregionmayfacesupplydifficultiesdueto thedeclineinthegraduateswithinthesemajors.Thereisasmallpoolofregionalgraduateswithpertinentmajorswhocouldfilterintoindustrialengineeringandmedicalscientistpositions.Retentionofgraduatesandattentiontoprogramswithcurrentlylowcompletionratesshouldbeafocusoftalentsupplyefforts.
challenges in talent DevelopmentIndividualinterviewswithselectededucationandtrainingprovidersandtheregionalWorkforceInvestmentBoards(WIBs)documentedthattheyfaceseveralchallengesintheireffortstounderstandandmeetthelifescienceindustry’stalentneeds.Postsecondaryprovidersseetheirparamountchallengeastheneedforfundingtodevelopnewprogramsandtoensuresustainability.Manyregionalinstitutionsinterviewedalsostrugglewithidentifyingappropriatelifescienceindustrycontactsaswellasbuildingandmaintainingrelationshipswithlifesciencefirms,especiallysmallerstart-upfirms.
Regionaleducationalinstitutionsmustalsocontendwithgeneralmisconceptionsandinformationgapsrelatingtolifescienceeducation.Severalcommunitycollegesreportedlowenrollmentintheirbiotechnologyprograms,whichtheyattributedtostudents’warinessofscience-basedcoursesandagenerallackofunderstandingofscienceanditspossibleapplications.InterviewswithrepresentativesofthecommunitycollegesalsoindicatedaperceptionthatlifesciencecompaniesoftenpreferstudentswithaBachelor’sdegreetothoseholdinganAssociate’sdegree,eventhoughthelattergroupofstudentsoftenhasmorelaboratoryexperience.Immigrantsalsofaceobstaclesinaccessingpositionswithintheindustryduetodifficultiestranslatingcredentialsthatwereobtainedabroadandcommunicationandlanguagebarriers.
InterviewswiththeWIBsrevealedanadditionalchallenge.ManyoftheWIBsfocusontrainingunemployedandlower-skilledincumbentworkers.TheWIBsfacethechallengeoftransitioningtheseworkerstomeetthehigh-skillneedsofthelifescienceindustry.
The data and trends indicate enough graduates should be available to fill projected demand in the Top 10 Job creator occupations.
Medical scientists**
computer software engineers, applications
Biological technicians
Industrial engineers
computer software engineers, systems software
chemists
computer systems analysts
Biochemists and biophysicists
Team assemblers
chemical technicians
95
39
83
44
34
67
32
28
41
43
Graduating Students by life Science-Related DegreesDiagram 13
161
1,593
1,752
122
575
303
1,372
1,752
N/A
303
***
Supply
Yearly average CompletionsTop 10 Net Job creators
*YearlyaverageopeningsaretheaverageopeningsoftheTop10JobsCreatorsinDiagram6**Thisoccupationdoesnotincludeepidemiologists***122isthesumofayearlyaverageof5industrialengineeringgraduatesplustheyearlyaverageofotherrelatedengineeringmajors(Biomedical/MedicalEngineering,Agricultural/BiologicalEngineeringandBioengineering,andEngineering,General).Source:IPEDSandNewEconomyStrategies,LLC(basedondatafromtheU.S.BureauofLaborStatistics)
(RequiresHighSchoolDiploma)
DemandYearly average Openings*
PhaseIIITalent Gap analysis Recommendations
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Examinationsoftheworkforcesystemrevealedthattheregionisnotfacingagapinthenumberofgraduates(withthepossibleexceptionofinformationtechnology),butratheritfacesagapinskillsandcompetencies.Italsorevealedworkers’abilitytodealwithachangingworkstructurewillrequiregreaterflexibility,adaptabilityanddynamiccooperation.Astheprimarydriverofgrowthinthelifescienceindustryhasshiftedfromlargecompaniestosmallercompanies,thebusinessculturehaschangedwithlessfocusonjobtitlesandclassificationsandagreaterfocusonthepossessionofabreadthofcompetenciesthatincludescience,technolgy,andbusinessskills.Strainsinworkforceavailabilityareexpectedtoappearinhigher-endpositionsinmanagementandresearch,notinproduction.
Phase III: Talent Gap Analysis Recommendations addresses howtofillthecurrentandfutureskillsandcompetenciesneededbythelifescienceindustry.FortheregiontosuccessfullyimplementtheserecommendationsthereneedstobeongoingcollaborationbetweenDVIN’spartnerswhichincludeindustryrepresentatives,academicinstitutions,economicdevelopmentgroupsandworkforceorganizations.Workingtogether,theregionshouldidentify,support,andmonitorexistinginitiativesthatareeffectiveandindentify,supportandmonitorpromisingnewlifesciencetalentinitiatives.
Therecommendationscanbecategorizedintofourareas:programs,communication,collaborationandmonitoring.
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Basedonthegrowth,quantityofnewjobs,andsustainabilityofoccupationsthatwillbeinhighestdemand,talentdevelopmenteffortsshouldcontinuetofocusonsciencetraininginbiology,chemistryandphysicstosupportbasicresearchanddevelopmentingrowingsmall-andmedium-sizecompanies.Theregionshouldalsotargettrainingrelatedtoengineeringpositionsinthelifesciencestosupportimportanttechnologyadvancementssuchasnanotechnologyandimagingtechnology.Evenmoreimportant,giventhedeclineofstudentsgraduatingfromregionalinstitutionswithcomputerandinformationtechnologyskills,theregionshouldsupportinformationtechnologytrainingforthelifescienceindustrybecauseoftheimportantroleofbioinformaticsandcomputationalmodelinginlifescienceresearch.
Althoughproductionisageneratorofnetnewjobs,thereisashiftunderwayinproductionduetothetransformationofmanufacturingtosmallscaleoperations.TheDVINregionshouldmonitortheshifttoensurethatanyinvestmentinmanufacturingtrainingwillbeabletomeetindustry’soccupationalneedsoverthenextfiveyears.
Inaddition,industrytrendsresultingfromthegrowthofsmall-andmedium-sizelifesciencecompaniesandinterviewswithregionallifesciencebusinessesstronglyindicatetheneedforsupportingcross-disciplinarytrainingprogramsintwoandfouryearacademicinstitutionsthatprovidenon-technicalbusinessandentrepreneurialskillsforscientists,andviceversa.
ProgramsIncrease the availability of Qualified Workers (Graduates, Incumbents, and New Entrants)
Largepharmaceuticalcompaniesarenolongerthesolecareerchoiceforlifescienceindustryentrantsandadultworkers.Theymustlooktotransitionintootherlifesciencefields.Moreover,aslifesciencejobsevolvetorequireagreatermixoftechnicalandnon-technicalskills,studentsandtransitioningadultworkersneedagreaterunderstandingofhowmultidisciplinaryskillsinbusiness,ITandcommunicationscanbeintegratedintocareersinlifesciences.
AtargetedstrategyshouldbedevelopedfortheDVINregiontoimprovecommunicationandincreaseawarenesstohighschoolandcollegestudents,andteachersandadvisorsaboutlifesciencecareersandlearningopportunities.Careerdevelopmentorganizationsshouldpromoteanddistributelifesciencecareerpathwayandoccupationalforecastinformationtostudentsandadultworkerstoexpandawareness.
Inaddition,thereshouldbeaninteractivewebsitetoaggregateindustryinformationandprovideaone-stopshopforlifesciencejob-seekers,lifesciencejob-providers,andlifescienceeducationalandtraininginstitutions.
communicationIncrease awareness of Careers in Life Science and Learning Opportunities in the DVIN region
RecO
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WhiletheDVINregionboastsvastopportunitiesinqualifiededucationalprograms,theseinstitutionsarenotbeingusedtotheirfullpotential.Opportunitiesforcollaborationandfrequentengagementwiththelifescienceindustryremainlimited.Educationalinstitutionsappeartobeoperatingindependentlyofeachother,relyingontheirownnetworksandmarketingeffortsforcurriculumdevelopment,corporatepartnerships,internshipsandstudentrecruitment.Theyalsolackfeedbackfromcompaniesonnewjobrequirementsandoccupationalneeds.
Severalstrategiesshouldbeimplementedtoexpandandstrengthencollaborationandinformationsharingbetweeneducationalinstitutionsandindustry.First,showcasetheDVINregion’sarrayofeducationalprogramstolifesciencecompaniesintheregion.Second,createaforumforeducationalexchangesandoutreacheffortstoobtaincurriculumfeedbackfromlifesciencecompanies,possiblythroughanannualsurveyaswellasthroughtheformationofacommitteeofregionalcommunitycolleges.Finally,theDVINregionshouldsupportandpromotelifescienceinternshipstoincreasethenumberofinternshipopportunitiesandenhancetheimpactinternshipshaveinlinkingfuturelifescienceworkerstoindustry.
collaborationExpand and Strengthen Collaboration and Information Sharing among the Life Science Industry and academic Instituions
Aperformancemonitoringsystemneedstobedevelopedtoassesstheimpactofandprogresstowardmeetingthetalentneedsofthelifescienceindustry.Thismonitoringsystemshouldbecenteredonawebsitethatprovidesdataupdatesandregionalprogressrecords.TheTalentGapAnalysisReportshouldbeupdatedonanannualbasis,providingnewindustryandmarketdataaswellasoccupationalforecasts.Thisshouldbeaccompaniedbyregularmonitoringofworkforcesupplymetrics,suchasaneducationalprograminventory,andcalculatingthenumberofdegreesandcertificatesawardedinhigh-demandlifescienceoccupations,skillsandcompetencies.Thelifescienceindustryshouldalsobesurveyedandinterviewedonanongoingbasistomeasuretheimpactofthetrainingprogramsonmeetingtheirtalentneeds.
Performancemonitoring
Update Talent GaP analysis Data and Measure Impact on Life Science Industry
RecO
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AcknowledgementsManylifesciencecompaniesandorganizationsthroughouttheDVINregionwereinvolvedingatheringinformationfortheTalentGapAnalysis
Report:PreparingOurWorkforcefortheEvolvingLifeScienceIndustry.TheExecutiveCommitteeoftheDelawareValleyInnovationNetwork
wantstoacknowledgethoseorganizationsandthankthemfortheircontributions.Withsuchcollaborationwehavegreatexpectationsforthe
regiontosuccessfullyimplementtherecommendationsofthisReport.
BerksCountyWorkforceInvestmentBoard;BioNJ;BucksCountyWorkforceInvestmentBoard;BurlingtonCountyWorkforceInvestment
Board;CamdenCountyWorkforceInvestmentBoard;CenterforWorkforceInformation&Analysis,PennsylvaniaDepartmentofLabor
& Industry; Chester County Workforce Investment Board; Cumberland/Salem Workforce Investment Board; Delaware BioScience
Association; Delaware County Workforce Investment Board; Delaware Workforce Investment Board; Gloucester County Workforce
InvestmentBoard;InnovationPhiladelphia;LaborMarketandDemographicResearch,NewJerseyDepartmentofLaborandWorkforce
Development;LancasterCountyWorkforceInvestmentBoard;LifeScienceCareerAlliance;MercerCountyWorkforceInvestmentBoard;
MontgomeryCountyWorkforceInvestmentBoard;OfficeofLaborMarketInformation,DelawareDepartmentofLabor;Pennsylvania
Bio; Select Greater Philadelphia; Mercer County Workforce Investment Board; Montgomery County Workforce Investment Board;
PhiladelphiaWorkforceInvestmentBoard;andTheWistarInstitute.
ThisreportwasconductedinpartnershipwiththeCouncilonAdultandExperientialLearning(CAEL),www.cael.org,andNewEconomyStrategies
(NES),www.new-econ.com. TheExecutiveCommitteeof theDelawareValley InnovationNetwork thanksChrisEngle,RichardSeline,Karen
SteinbergandLaurenWardforbringingtheirprofessionalexpertise,collaborativewayofwork,andinterestinpromotingeffectiveeconomicand
workforcedevelopmenttotheDelaware,NewJerseyandPennsylvaniatri-state,14-countyregion.
TheDVINTalentGapAnalysisReportwas fundedbyagrantawardedunder theWIRED initiativeas implementedby theU.S.Departmentof
Labor’sEmployment&TrainingAdministration.Theinformationcontainedinthisproductwascreatedbyagranteeorganizationanddoesnot
necessarilyreflecttheofficialpositionoftheU.S.DepartmentofLabor.Allreferencestonon-governmentalcompaniesororganizations,their
services,products,orresourcesareofferedforinformationalpurposesandshouldnotbeconstruedasanendorsementbytheDepartmentof
Labor.Thisproductiscopyrightedbytheinstitutionthatcreateditandisintendedforindividualorganizational,non-commercialuseonly.
2�
DVIn executIVe commIttee
Pavni J. bagga New Jersey Economic Development authority
marilyn Davis, Vice co-chair, DVIn executive committee NJ Department of Labor and Workforce Development
bob Dayton Delaware bioScience association
Fred Dedrick, treasurer, DVIn executive committee Pennsylvania Department of Labor & Industry
Dennis m. “mickey” Flynn Pennsylvania bio
colleen hamilton Life Science Career alliance
Debbie hart bioNJ
Gwendolyn Jones Delaware Workforce Investment board
kelly r. lee, chairperson, DVIn executive committee Innovation Philadelphia
thomas G. morr Select Greater Philadelphia
michelle richardson NJ Department of Labor & Workforce Development
Dante rieti Cumberland/Salem Workforce Investment board
barbara Saverino Greater Philadelphia Chamber of Commerce
Scott J. Sheely Lancaster County Workforce Investment board
robert Strong, Vice co-chair, DVIn executive committee Delaware Department of Labor
Joseph P. welsh esq. Collegiate Consortium
kelly whitman Pennsylvania Department of Labor & Industry
DVIn talent GaP analySIS rePort SteerInG commIttee
waverly coleman Community College of Philadelphia
erika crawford Chester County Economic Development Council
John hall Pennsylvania alliance for STEM Education
meg Shope koppel Philadelphia Workforce Investment board
Susan little Locus Pharmaceuticals
Donna moncuso Health Market Science
bill Potter, chairperson, Steering committee Delaware Workforce Investment board
yustina Saleh New Jersey Department of Labor and Worforce Development
Delaware Valley InnoVatIon network StaFF
helen m. Groft, Project Director monica S. harris, Project Coordinator
Delaware Valley Innovation network 1500 Market Street 2600 Centre Square West Philadelphia, Pennsylvania 19102 (215) 496-8167 www.delawarevalleyinnovationnetwork.com