畢馬威：2024年GenAI賦能生命科學(xué)報(bào)告：借力生成式人工智能激發(fā)員工潛力 Empowering Life Sciences Unleashing the potential of a GenAI-enabled workforce

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EmpoweringLifeSciences

UnleashingthepotentialofaGenAI-enabledworkforce

April2024

?2024KPMGAGWirtschaftsprüfungsgesellschaft,acorporationunderGermanlawandamemberfirmoftheKPMGglobalorganizationofindependentmemberfirmsaffiliatedwithKPMGInternationalLimited,aprivateEnglishcompanylimitedbyguarantee.Allrightsreserved.

TableofContents

Foreword5

GenAI–Adaptingtonewrealitiesandpotentialworkforcedisruptions

GenAIaspartoftheworkforcetodayandtomorrow

Workforce-relatedthreatsposedbyGenAIandhowtocounterthem

GenAI–Outlookonskillsshiftandpotentialopportunities

KPMG’s‘JobAutomationOutlook’–ExpectedimpactofGenAIonjobautomation

Futureautomationacrosssegmentsandkeyjobroles

GenAI–Evolutionoftheworkforceofthefuture

Evolutionmindsetaspartofaparadigmshift

KPMG’simplementationmodeltoassisttheworkforcetransformation

Glossary18

RelatedGenAIThoughtLeadership19

Contact20

EmpoweringLifeSciences

Foreword

Inaneraofacceleratingtechnologicaladvancements,fewinnovationshavecapturedourattentionquitelikeGenerativeAI(GenAI).Thiscutting-edgefieldof

artificialintelligencehasemergedasagame-changer,revolutionizingthewayweapproachcomplex

problems,generatecreativesolutions,andunlockuntappedpotentialacrossindustries.

GenAIisnotjustanothertechnologicalbreakthrough;itisacatalystforafundamentalreimaginationinthewaywethoughtthingstobepossible.

TheLifeSciencesindustryisattheforefrontofa

majortransition,withGenAItransformingthevery

fabricoftheworkplace.AI-drivenautomation,coupledwithrapidadvancesintechnology,isdisruptingthe

conventionalbusinessmodel,elevatingtheroleof

humancapitalatthecoreofinnovation.Theriseof

GenAI-drivenautomationinLifeSciencesisa

significanttrendthatispresentingbothopportunitiesandrisksforthishighlyregulatedindustry,oneof

whichistheexpecteddisplacementofaconsiderablenumberofjobs.

Inordertosurviveandthriveinthisrapidlyevolvinglandscape,organizationswillhavetoprioritizethe

humanizationofAIandadoptanevolutionarymindsetthatemphasizestheupskillingandreskillingoftheirworkforce.Forthesectortostaycompetitiveand

delivervaluetoitsstakeholders,itmustembracethetransformationalimpactofGenAI.

ThiswillnotonlyensuretheeffectiveadoptionofAI

butalsoenableemployeestothriveinanever-evolving

technologicallandscape.Withautomationtaking

centerstage,theindustrymustfundamentally

reimagineitsworkforcestrategy.TheeraofGenAI

demandsatransformationoftheLifeSciences

industry’sworkforce,ensuringthattheyareequippedtoembracethechangeandcreatevalueforthe

economyandsociety.

ThispublicationseekstodelveintotheimplicationsofGenAIfortheLifeSciencesworkforce,exploringthenecessarytransformationsandopportunitiesfor

human-AIcollaboration.

Furthermore,thispaperprovidesacomprehensive

analysisofthemajortrendsshapingtheLifeSciencesindustry,asitnavigatestheeraofGenAI,highlightingpotentialopportunitiesforvaluecreation,andprovidingrecommendationsonhowtodevelopandimplementaworkforcestrategythateffectivelyintegratesGenAI.

AshishMadan

Partner,AdvisoryKPMGinGermany

EmpoweringLifeSciences5

GenAI-Adaptingtonewrealitiesandpotentialworkforcedisruptions

GenAIaspartoftheworkforcetodayandtomorrow

GenAIasaconcepthasbeenaroundsincethe1970s.However,therecent

launchofopenmodels(e.g.,ChatGPT)andtheavailabilityoflargerdatasetsandbetteranalyticalmodels,hasdrivencompaniesacrosssectorstorecognizethedisruptivepowerofthetechnology.ThesameholdstrueforLifeSciencesfirms,eventhoughtheyhappenedtobeitsearlyadopters.

6EmpoweringLifeSciences

GenAIapplicationandlevelofmaturityacrosskeyfunctions

Keyfunctions20152020202520302035

Moleculedesign1

Clinicaltrials

Clinicaldataanalysis

Medicalimaginganddiagnosis

Patientsupport1

Warehousingandmanufacturing

Insuranceclaimsmanagement

Hiring

Financeandreporting

Auditandcompliance

Typeoffunctions:

LevelofmaturityofGenAImodels:

LifeSciences-relatedfunction

Beginning

Sector-agnosticfunction

IntermediateMature

Source:KPMGinGermany,2024

KeyfactorsinfluencingthegrowingpopularityofGenAI

Transformationalbenefitsacrossfunctions:

GenAIholdsthepromiseofrevolutionizingend-to-endvaluechainofLifeScience

industries,fromdrugdiscoverytolaunch&commercialization.

ExperimentationandintegrationofGenAI

tools:LifeScienceOrganizationsareactivelyexploringandincorporatingGenAIintobothinternalprocessesandcustomer-facing

activities.

GenAIaugmentationreshapingtheworkforceandindustrynorms:Fromnicheapplicationstomainstreamadoption,GenAIisfundamentallychanginghowbusinessmodelsoperateandhownewwaysofworkingareestablished.

?WithinLifeSciences,GenAIisexpectedto

transformtheworkforce,requiringemployeesto

polishtheirtechnicalandanalyticalskillsetwhile

upgradingtheirpersonalskills.TheuseofAI

systemswillnecessitateabalancebetween

technicalproficiency,regulatorycompliance,and

ethicalconsiderations,benefittingthosewhoadapttothischangeintherapidly-evolvingindustry.

?Thus,ascompaniesembraceGenAI,itiscrucialthatemployeesareappropriatelyeducatedandtrained

ontheuseofthistechnologytorealizeexpectedefficiencygains.

1RoleexplainedinmoredetailintheGlossary

EmpoweringLifeSciences7

GenAI-Adaptingtonewrealitiesandpotentialworkforcedisruptions

Workforce-relatedthreatsposedbyGenAIandhowtocounterthem

TheroadtohelpingtheworkforceadoptGenAIisladenwithseveralrisks,

particularlyforLifeSciencesfirmsthatalreadyfaceseveralchallengesinfindingandretainingtalent.Aswithallnewtechnologies,adaptationtonewroleswillbenecessary,requiringcompaniestoadoptaproactiveapproachtoresponsible

development,thoughtfulregulation,andretrainingeffortsassociatedwithGenAI.

8EmpoweringLifeSciences

GenAI-relatedrisksoftoday

Applicationawareness

AsemployeeslooktoleverageGenAIforroutinetasks,theymayloseoutondevelopingbaselineskills,andmaysometimesacceptinaccurateor

misleadinginterpretations.Thus,theworkforceshouldbetrainedtoworkwithandwithoutthesetools,andtriangulateGenAIgeneratedresultsintherightmanner.

Qualityquagmire

GenAI,muchlikeotherAI/ML-relatedsystems,issusceptibletobias,andcanoftenyieldinaccurateorhallucinatedinformation.Thismayexpose

firmstorisks,suchasprejudicetowardsspecificpatient/employee

groups.Theworkforceshouldbetrainedtoidentifysuchbiasanddevisestrategiestoeliminatethem.

Lawsuitlurk

GenerativeAIusedforlegalconfirmationsorevaluationscancircumventnecessaryethics,complianceandindependenceprograms,andimpactregulatoryliability.Organizationscanthinkaboutemployingsmaller,morespecializedmodelsratherthanapre-builtgenerativeAImodel,tomatchtheirgoals.

GenAI-relatedrisksoftomorrow

Jobjeopardy

GenAIcanpotentiallydisplacehumanworkersinvarioustasksandoccupations,particularlythoseinvolvingrepetitive,low-skill,or

data-intensivework.Thiscouldleadtounemployment,underemployment,orskillmismatchforsome,whileeducationdigitally-darkareasmay

struggletokeepupwithmarketdemand.

Skillsshift

WiththeincreasingadoptionofAI,tasksthatwereoncehandledby

humansarebecomingautomated.Thistrendmayleadtoexistingskillsbecomingoutdatedandobsolete,requiringworkerstoadaptorreskilltoremainrelevantintheirfields.

EffectiveriskmanagementinLifeSciencesispivotaltomitigatetheethicalandworkforce-relatedrisksassociatedwithextensiveorunregulateduseofGenAI.ArobustAIriskmanagementstrategymustbefoundationaltoorganization’s

enterprisestrategytoallowsustainablefuture-readytransformations,including

techincubationandworkforceupskilling.MarkusFabel

Partner,Consulting,GlobalHeadofQuality&RiskManagement

Advisory,KPMGinGermany

EmpoweringLifeSciences9

GenAI-Outlookonskillsshiftandpotential

opportunities

KPMG’s‘JobAutomationOutlook’–ExpectedimpactofGenAIonjobautomation

IntegrationofGenAIintotheLifeSciencesindustry,isexpectedtoenhanceoperationalefficiencies,automateroutinetasks,andboostproductivity.

However,itisimportanttorecognizethatGenAIcannotreplacethecriticalthinking,creativity,andstrategicinputofhighlyskilledprofessionals.

?Todeterminetheexpectedproportionofjobsbeingautomatedinthe

near-to-mediumterm,KPMGconductedaqualitativeassessmentofkeyrolesacrosstheLifeSciencesvaluechain.

?KPMG’s‘JobAutomationOutlook’mapskeyjobrolesonatimeline,

highlightingrolesthatmayundergorapidevolutionasmanyoftheexpectedtasksareautomatedbyupcomingGenAItools.

-Thedegreeofautomationislikelytodifferacrossjobrolesandhasbeengaugedsubjectively,asexplainedintheexampleslistedbelow.

?WhilelevelofautomationmaybeledbythepaceofadvancementsinGenAItechnology,highregulatoryrequirementswithintheindustrymaydelay

automationacrosssomerolesinthenearterm.

10EmpoweringLifeSciences

Examplesforautomationindifferentvaluechainsegments

ValuechainKeyexamplesofselectedjobroles

Levelofautomation

(expectedtimeline)

Pharmacologist1–GenAIcanexpediatedata

Researchanddevelopment

analysis-relatedtasks,includingmolecule

designanddiseasemodeling.However,itisunlikelytoaffectotherhigh-valuetasks,suchascriticalanalysisandinnovation.

20%–40%

(in3–5years)

Manufacturingandlogistics

Manufacturingengineer1–GenAIcanauto-matemanufacturingtaskssuchasquality

controlandassembly.However,specialistsskilledincriticalthinkingandproblemsolvingwouldberequiredintechnicalprojects.

20%–40%

(in5–7years)

Commercialservices

Healthcareprofessional(HCP)1–

GenAIcanautomaterecordingpatientdata,makingnotes,andadvancediagnosis.

However,humanexpertisewouldberequiredforcriticaldecisionmakingandproperpatientsupport.

20%–40%

(in5–7years)

Regulatory

Complianceofficer1–GenAIcanbeusedtotrackmarketentryrequirementsandpreparedocumentsforsubmission,butpersonnelwillstillbeneededforstrategicplanningand

decision-making.

20%–40%

(in3–5years)

Corporatefunctions

Timeperiod:

Proportionoftasksbeingautomated:

0–1year

(0%–20%

Source:KPMGinGermany,2024

Hiringmanager–GenAIcouldautomateroutinetasksincludingexitmanagement,attendance/

timemanagement,andworkforcemanage-ment.However,creativityandsoftskills

wouldberequiredinstrategicdecision-mak-ingrolesandactivitiesassociatedwithpeoplemanagement.

40%–60%

(in5–7years)

3–5years40%–60%

5–7years60%–80%

80%–100%

1–3years20%–40%

Asmorejobsbecomeautomatedoraugmented,LifeScienceorganizations

mustprioritizeGenAIliteracy.Human-AIcollaborationwillbecomecrucialtogainacompetitiveedge.KPMG’s‘JobAutomationOutlook’providesastartingpointforfirmstoinitiateworkforcetransformation.

HolgerKneisel

MemberoftheExecutiveBoard,

HeadofAdvisory,KPMGinGermany

1RolesexplainedinmoredetailintheGlossary

EmpoweringLifeSciences11

GenAI-Outlookonskillsshiftandpotential

opportunities

Futureautomationacrosssegmentsandkeyjobroles

AsLifeSciencesfirmsexploredifferentusecasesofGenAIacrossvarious

verticalsofthevaluechain,somejobrolesarelikelytobemoreexposedto

displacementasseveraltaskspertainingtotheserolescanbeautomatedusingGenAItools.However,itisimperativetorememberthatevenfortheseroles,theindustryisexpectedtowitnessasteepevolutionand/orre-definitionofjob

roles,ratherthanelimination.

12EmpoweringLifeSciences

KPMG’s‘JobAutomationOutlook’

Low

Corporatefunctions

Researchanddevelopment

High

Overallautomation

LowOverallautomation

Financial

analyst

Pharmacologist

ITsupportprovider

Researchscientist1

Admin

staff

Hiringmanager

Clinical researchassociate1

Market

authorizationofficer1

Future

Manufacturingengineer

Present

Inventorymanager1

Post-market

surveillanceofficer1

Supplyplanner1

Customerservicerepresentative

Complianceofficer

Marketing

representative

Fieldforce

Insurancerepresentative

HCP1

Nursingstaff

Regulatory

HighOverallautomation

Manufacturingandlogistics

LowOverallautomation

High

Commercialservices

LowHighOverallautomation

Timeperiod:

Proportionoftasksbeingautomated:

0–1year(0%–20%

1–3years20%–40%

3–5years40%–60%

5–7years60%–80%

80%–100%

Source:KPMGinGermany,2024

1RolesexplainedinmoredetailintheGlossary

EmpoweringLifeSciences13

GenAI-Evolutionoftheworkforceofthefuture

Evolutionmindsetaspartofaparadigmshift

AsLifeSciencescompanieslooktoincubateGenAIsolutionsacrossdifferentverticals,theywillbeexpectedtore-skill/upskilltheirworkforceandhelp

employeesleveragethesesolutionseffectively.

Tothiseffect,companiesmaybenefitfromtransitioningfromthecurrently

famousT-skillframeworktotheKPMG’sGenAIM-skillframework,whichdirectsfirmstohelpemployeesdevelopproficienciesacrossmultipledomainsinGenAI,coupledwithadiverse,cross-disciplinarysetofdigitalcompetenciesand

aptitudesthatenableindividualstocollaboratewithprofessionalsfromdiversebackgroundsandareasofexpertise.

14EmpoweringLifeSciences

SkillsshiftdrivenbyGenAI

TheT-skillframework

Generalskills1

LifeSciencesfunctionalskills1

Until2023

EmployersencouragetheLife

Sciencesworkforceto

complementtheirfunctionalskills(inmolecularresearch,clinical

trials,orpatienthealthdata

management)withahealthymixofgeneralskillslikeproject

managementandleadershipaswellasskillsinethicaluseof

internetanddigitaltechnologies.

ThePi-skillframework

Generalskills1

LifeSciencesfunctionalskills1

GenAI-

operatingskills1

2023-2024

WiththerapidadoptionofGenAI,organizationsarenowencouragingtheworkforcetoacquireaswell

asdevelopcapabilitiesand

expertiseontheuseofGenAItools.Thisnecessitateslearningnewskills,suchasprompt

engineering1,machinelearningalgorithms,basicprogramming,androbotics&automation.

KPMG’sGenAI

Generalskills1

M-skillframework

LifeSciencesfunctionalskills1

GenAI-operatingskills1

GenAI-

engineeringskills1

2025+

AstheGenAIlandscapecontinuestoevolve,theLifeSciences

workforcewillneedtoadopta

continuouslearningmindsetandacquireadvancedengineering

skills.Thisincludesproficiencyinsoftwareengineeringprinciples,

aswellasknowledgeinnatural

languageprocessingandGenAI

modeldesigning.Investingina

skillshiftwithaninterdisciplinaryworkforcethatiscomfortablewithdigitalliteracyinbuildingAI

systems,aswellasadaptingandoptimizingexistingAIsystemstomeetspecificLifeSciences

functionalneeds,willbea

significantdifferentiatingfactor.

Strategic-levelunderstandingIn-depthknowledge

Source:KPMGinGermany,2024

1ConceptexplainedinmoredetailintheGlossary

EmpoweringLifeSciences15

GenAI-Evolutionoftheworkforceofthefuture

KPMG’simplementationmodeltoassisttheworkforcetransformation

TheadventofGenAIisexpectedtohaveatransformationalimpactonthehighlyregulatedandshort-staffedLifeSciencesindustry,requiringcompaniesto

upskill/re-skilltheirworkforceatlighteningspeed.

TheimpactofGenAIisfar-reaching,andtoremaincompetitive,industryplayersshouldlooktoadoptanevolutionmindsetthatemphasizescontinuoustraining,effectivecareerpathingandregulatoryengagement.

Here’saKPMGmodelthatcombinesGenAIstrategy,riskmanagementstrategy,andworkforcestrategyintoasingletransformativeenterprisestrategythat

promotessustainablegrowthandvalue.

16EmpoweringLifeSciences

Enterprisestrategyforgrowth

Empower

theenablers

?Criticallyassess

workforce’spotentialforleveragingGenAI

?Identifyandmaproles,capabilities,and

competenciestobettermanagetheimpactofautomation

?Recognizeskillgapsorareasofpotential

innovation,andthenfocusonupskillingtheworkforce

Assure

againstrisk

?Conductrigorous

assessmenttoidentifypotentialrisks

associatedwithGenAIintegration

?Createandadheretoethicalandregulatoryguidelines

?Providerole-based

trainingand

developmentonrisksandcompliance

proceduresrelatedtousageofGenAItools

Enrich

jobroles

?Enhanceandaugmenttheexistingrolesof

employees

?ImplementandmonitoruseofGenAIsolutionsbyemployeesatall

levels

?Providetrainingtailoredaccordingtojobrolesandoptimizeits

efficacyovertime

Maximizevalue

?Enhanceemployeeengagementthroughfeedback,regular

updates,andtraining

?Optimizeworkforce

potentialprogressivelybymonitoringresultsofGenAIimplementation

?Refreshworkforce

strategyonanongoingbasis

Workforceofthefuture

TheLifeSciencesindustryisattheforefrontofamajortransition,withGenAItransformingtheveryfabricoftheworkplace.Inordertosurviveandthriveinthisrapidlyevolvinglandscape,organizationswillhavetoprioritizethe

humanizationofAIandadoptanevolutionarymindsetthatemphasizestheupskillingandreskillingoftheirworkforce.

AshishMadan

Partner,Advisory,

KPMGinGermany

EmpoweringLifeSciences17

Glossary

Definitionofkeytermsusedinthereport

S.no.

Keyterm

Definition

Clinicalresearch

associate(CRA)

CRAsmanageandfacilitateclinicaltrials.Theroleinvolvesworkingwith

investigatorsorsponsorstooverseeandcoordinateactivitiesrelatedtoclinicaltrials

Complianceofficer

Complianceofficersensurecompliancewithrelevantlaws,regulations,andindustrystandards.Theydevelop,oversee,andimplementriskmitigationplansrelatedtocompliancewithintheirorganization

GenAI-engineeringskills

Thiscategorycoversadvancedskills,includingdatacurationandGenAImodeldesign,essentialforcustomizingandengineeringGenAItoachievebusinessobjectives.TheseskillscomplementexistingLifeSciencesspecialistskillsandhelporganizationstoremaincompetitiveandrelevantintheevolvingGenAIworld

GenAI-operatingskills

ThiscategorycoversskillsrequiredtodevelopexpertiseontheuseofGenAItools,suchaspromptengineering,basicprogrammingandnew-age

management

Generalskills

Includessoftskills,suchasbasicunderstanding,leadershipandpeoplemanagement,aswellastechnicalskillssuchasinternetuseandethicalconsiderationsassociatedwiththeuseofnewtechtools

Healthcareprofessional(HCP)

HCPisatrainedandlicensedindividualsuchasaphysicianormedical

technologistwhoprovidescareandservicestopatientswithinthehealthcareindustry

Inventorymanager

Inventorymanagersareresponsiblemajorlyformanaginginventorylevels,determiningreorderpoints,managingstocklevels,andcoordinatingwithsupplierstoensurethetimelydeliveryofinventory

LifeSciencestechnicalskills

ThiscategoryincludesskillsassociatedwithoneormoreareasofexpertisewithinLifeSciences,suchasspecificarmsofresearch(e.g.,genomic,pro-

teomicand/orbiostatistics),clinicaltrialmanagement,and/orregulationsandpharmacovigilance

Manufacturingengineer

Manufacturingengineersoverseethedesign,development,installation,andmonitoringofequipmentandmachineryusedinmanufacturingofLifeSci-encesproducts

Marketauthorizationofficer

Marketauthorizationofficersensurethatproductscomplywithregulatory

requirements,overseeprocessesrelatedtopre-marketapprovalapplicationsandmanagetheregulatoryinteractionswithhealthauthorities

Moleculedesign

Moleculedesigningisaprocesswithindrugdevelopmentstage,thatinvolvesdesigning/modifyingthestructureofmolecules(suchasdrugsorbiologics)toimproveitsefficacyandsafetyprofile

Patientsupport

Patientsupportincludespatienteducation,adherencemanagementandstreamliningofinteractionswithotherstakeholders(e.g.,HCPs)

Pharmacologist

Pharmacologistsareaspecializedsetofresearchscientistswhofocusspecificallyonthestudyofdrugsandtheireffectsonbiologicalsystems

Post-marketsurveil-lanceofficer(PMSO)

PMSOsareresponsibleformonitoringthesafetyofdrugsoncetheyreachthemarket,afterthesuccessfulcompletionofclinicaltrials

15Promptengineering

PromptengineeringreferstotheartofcraftingeffectiveinstructionsforgenerativeAImodels,tohelpgeneratethedesiredoutput

18EmpoweringLifeSciences

?2024KPMG

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