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1、Empowering Life SciencesUnleashing the potential of a GenAI-enabled workforceApril 2024 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited,a private Englis

2、h company limited by guarantee.All rights reserved.Table of Contents 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited,a private English company limited b

3、y guarantee.All rights reserved.Foreword5GenAI Adapting to new realities and potential workforce disruptions GenAI as part of the workforce today and tomorrow 6 Workforce-related threats posed by GenAI and how to counter them 8GenAI Outlook on skills shift and potential opportunities KPMGs Job Autom

4、ation Outlook Expected impact of GenAI on job automation 10 Future automation across segments and key job roles 12GenAI Evolution of the workforce of the future Evolution mindset as part of a paradigm shift 14KPMGs implementation model to assist the workforce transformation 16Glossary18Related GenAI

5、 Thought Leadership 19Contact204Empowering Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited,a private English company limited by guarantee.

6、All rights reserved.ForewordIn an era of accelerating technological advancements,few innovations have captured our attention quite like Generative AI(GenAI).This cutting-edge field of artificial intelligence has emerged as a game-changer,revolutionizing the way we approach complex problems,generate

7、creative solutions,and unlock untapped potential across industries.GenAI is not just another technological breakthrough;it is a catalyst for a fundamental reimagination in the way we thought things to be possible.The Life Sciences industry is at the forefront of a major transition,with GenAI transfo

8、rming the very fabric of the workplace.AI-driven automation,coupled with rapid advances in technology,is disrupting the conventional business model,elevating the role of human capital at the core of innovation.The rise of GenAI-driven automation in Life Sciences is a significant trend that is presen

9、ting both opportunities and risks for this highly regulated industry,one of which is the expected displacement of a considerable number of jobs.In order to survive and thrive in this rapidly evolving landscape,organizations will have to prioritize the humanization of AI and adopt an evolutionary min

10、dset that emphasizes the upskilling and reskilling of their workforce.For the sector to stay competitive and deliver value to its stakeholders,it must embrace the transformational impact of GenAI.This will not only ensure the effective adoption of AI but also enable employees to thrive in an ever-ev

11、olving technological landscape.With automation taking center stage,the industry must fundamentally reimagine its workforce strategy.The era of GenAI demands a transformation of the Life Sciences industrys workforce,ensuring that they are equipped to embrace the change and create value for the econom

12、y and society.This publication seeks to delve into the implications of GenAI for the Life Sciences workforce,exploring the necessary transformations and opportunities for human-AI collaboration.Furthermore,this paper provides a comprehensive analysis of the major trends shaping the Life Sciences ind

13、ustry,as it navigates the era of GenAI,highlighting potential opportunities for value creation,and providing recommendations on how to develop and implement a workforce strategy that effectively integrates GenAI.Ashish MadanPartner,AdvisoryKPMG in Germany5Empowering Life Sciences 2024 KPMG AG Wirtsc

14、haftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited,a private English company limited by guarantee.All rights reserved.GenAI Adapting to new realities and potential workforce

15、disruptionsGenAI as part of the workforce today and tomorrow GenAI as a concept has been around since the 1970s.However,the recent launch of open models(e.g.,ChatGPT)and the availability of larger datasets and better analytical models,has driven companies across sectors to recognize the disruptive p

16、ower of the technology.The same holds true for Life Sciences firms,even though they happened to be its early adopters.6Empowering Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member firms aff

17、iliated with KPMG International Limited,a private English company limited by guarantee.All rights reserved.GenAI application and level of maturity across key functionsKey functionsMolecule design1Clinical trialsClinical data analysis Medical imaging and diagnosisPatient support1Warehousing and manuf

18、acturingInsurance claims managementHiringFinance and reporting20152020202520302035Audit and complianceType of functions:Sector-agnostic functionLevel of maturity Beginningof GenAI models:IntermediateMatureLife Sciences-related functionSource:KPMG in Germany,2024Key factors influencing the growing po

19、pularity of GenAITransformational benefits across functions:GenAI holds the promise of revolutionizing end-to-end value chain of Life Science industries,from drug discovery to launch&commercialization.Experimentation and integration of GenAI tools:Life Science Organizations are actively exploring an

20、d incorporating GenAI into both internal processes and customer-facing activities.GenAI augmentation reshaping the workforce and industry norms:From niche applications to mainstream adoption,GenAI is fundamentally changing how business models operate and how new ways of working are established.7Empo

21、wering Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited,a private English company limited by guarantee.All rights reserved.Within Life Scie

22、nces,GenAI is expected totransform the workforce,requiring employees topolish their technical and analytical skill set whileupgrading their personal skills.The use of AIsystems will necessitate a balance betweentechnical proficiency,regulatory compliance,andethical considerations,benefitting those w

23、ho adaptto this change in the rapidly-evolving industry.Thus,as companies embrace GenAI,it is crucial thatemployees are appropriately educated and trainedon the use of this technology to realize expectedefficiency gains.1 Role explained in more detail in the GlossaryGenAI Adapting to new realities a

24、nd potential workforce disruptionsWorkforce-related threats posed by GenAI and how to counter them The road to helping the workforce adopt GenAI is laden with several risks,particularly for Life Sciences firms that already face several challenges in finding and retaining talent.As with all new techn

25、ologies,adaptation to new roles will be necessary,requiring companies to adopt a proactive approach to responsible development,thoughtful regulation,and retraining efforts associated with GenAI.8Empowering Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a

26、 member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited,a private English company limited by guarantee.All rights reserved.GenAI-related risks of todayApplication awarenessAs employees look to leverage GenAI for routine tasks,they may lose

27、out on developing baseline skills,and may sometimes accept inaccurate or misleading interpretations.Thus,the workforce should be trained to work with and without these tools,and triangulate GenAI generated results in the right manner.Quality quagmire GenAI,much like other AI/ML-related systems,is su

28、sceptible to bias,and can often yield inaccurate or hallucinated information.This may expose firms to risks,such as prejudice towards specific patient/employee groups.The workforce should be trained to identify such bias and devise strategies to eliminate them.Lawsuit lurk Generative AI used for leg

29、al confirmations or evaluations can circumvent necessary ethics,compliance and independence programs,and impact regulatory liability.Organizations can think about employing smaller,more specialized models rather than a pre-built generative AI model,to match their goals.GenAI-related risks of tomorro

30、w Job jeopardyGenAI can potentially displace human workers in various tasks and occupations,particularly those involving repetitive,low-skill,or data-intensive work.This could lead to unemployment,underemployment,or skill mismatch for some,while education digitally-dark areas may struggle to keep up

31、 with market demand.Skills shift With the increasing adoption of AI,tasks that were once handled by humans are becoming automated.This trend may lead to existing skills becoming outdated and obsolete,requiring workers to adapt or reskill to remain relevant in their fields.Effective risk management i

32、n Life Sciences is pivotal to mitigate the ethical and workforce-related risks associated with extensive or unregulated use of GenAI.A robust AI risk management strategy must be foundational to organizations enterprise strategy to allow sustainable future-ready transformations,including tech incubat

33、ion and workforce upskilling.Markus Fabel Partner,Consulting,Global Head of Quality&Risk Management Advisory,KPMG in Germany9Empowering Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member fir

34、ms affiliated with KPMG International Limited,a private English company limited by guarantee.All rights reserved.GenAI Outlook on skills shift and potential opportunitiesKPMGs Job Automation Outlook Expected impact of GenAI on job automationIntegration of GenAI into the Life Sciences industry,is exp

35、ected to enhance operational efficiencies,automate routine tasks,and boost productivity.However,it is important to recognize that GenAI cannot replace the critical thinking,creativity,and strategic input of highly skilled professionals.To determine the expected proportion of jobs being automated in

36、thenear-to-medium term,KPMG conducted a qualitative assessment of key rolesacross the Life Sciences value chain.KPMGs Job Automation Outlook maps key job roles on a timeline,highlighting roles that may undergo rapid evolution as many of the expectedtasks are automated by upcoming GenAI tools.The deg

37、ree of automation is likely to differ across job roles and has beengauged subjectively,as explained in the examples listed below.While level of automation may be led by the pace of advancements in GenAItechnology,high regulatory requirements within the industry may delayautomation across some roles

38、in the near term.10Empowering Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited,a private English company limited by guarantee.All rights re

39、served.Examples for automation in different value chain segmentsLevel of automation Value chainKey examples of selected job roles(expected timeline)Pharmacologist1 GenAI can expediate data analysis-related tasks,including molecule Research and design and disease modeling.However,it is developmentunl

40、ikely to affect other high-value tasks,such as critical analysis and innovation.20%40%(in 3 5 years)Manufacturing engineer1 GenAI can auto-mate manufacturing tasks such as quality Manufacturing and control and assembly.However,specialists logisticsskilled in critical thinking and problem solving wou

41、ld be required in technical projects.20%40%(in 5 7 years)Healthcare professional(HCP)1 GenAI can automate recording patient data,making notes,and advance diagnosis.Commercial servicesHowever,human expertise would be required for critical decision making and proper patient support.20%40%(in 5 7 years

42、)Compliance officer1 GenAI can be used to track market entry requirements and prepare Regulatorydocuments for submission,but personnel will still be needed for strategic planning and decision-making.20%40%(in 3 5 years)Hiring manager GenAI could automate routine tasks including exit management,atten

43、dance/time management,and workforce manage-Corporate functionsment.However,creativity and soft skills would be required in strategic decision-mak-ing roles and activities associated with people management.40%60%(in 5 7 years)0 1 year1 3 years3 5 years5 7 yearsTime period:Proportion of tasks 0%20%bei

44、ng automated:20%40%40%60%60%80%80%100%Source:KPMG in Germany,2024As more jobs become automated or augmented,Life Science organizations must prioritize GenAI literacy.Human-AI collaboration will become crucial to gain a competitive edge.KPMGs Job Automation Outlook provides a starting point for firms

45、 to initiate workforce transformation.Holger Kneisel Member of the Executive Board,Head of Advisory,KPMG in Germany11Empowering Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member firms affil

46、iated with KPMG International Limited,a private English company limited by guarantee.All rights reserved.1 Roles explained in more detail in the GlossaryGenAI Outlook on skills shift and potential opportunitiesFuture automation across segments and key job roles As Life Sciences firms explore differe

47、nt use cases of GenAI across various verticals of the value chain,some job roles are likely to be more exposed to displacement as several tasks pertaining to these roles can be automated using GenAI tools.However,it is imperative to remember that even for these roles,the industry is expected to witn

48、ess a steep evolution and/or re-definition of job roles,rather than elimination.12Empowering Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limit

49、ed,a private English company limited by guarantee.All rights reserved.KPMGs Job Automation Outlook0 1 year1 3 years3 5 years5 7 yearsTime period:Proportion of tasks 0%20%20%40%40%60%60%80%80%100%being automated:Corporate functionsLowHighOverall automationResearch and developmentLowHighOverall automa

50、tionManufacturing and logisticsLowHighOverall automationCommercial servicesLowHighOverall automationRegulatoryLowHighOverall automationPharmacologistResearch scientist1Manufacturing engineerNursing staffCompliance officerClinical research associate1HCP1Insurance representativeCustomer service repres

51、entativeMarketing representativePost-market surveillance officer1Market authorization officer1Hiring managerField forceAdmin staffFinancial analystIT support providerPresentFutureSupply planner1Inventory manager1Source:KPMG in Germany,20241 Roles explained in more detail in the Glossary13Empowering

52、Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited,a private English company limited by guarantee.All rights reserved.GenAI Evolution of the

53、workforce of the futureEvolution mindset as part of a paradigm shift As Life Sciences companies look to incubate GenAI solutions across different verticals,they will be expected to re-skill/upskill their workforce and help employees leverage these solutions effectively.To this effect,companies may b

54、enefit from transitioning from the currently famous T-skill framework to the KPMGs GenAI M-skill framework,which directs firms to help employees develop proficiencies across multiple domains in GenAI,coupled with a diverse,cross-disciplinary set of digital competencies and aptitudes that enable indi

55、viduals to collaborate with professionals from diverse backgrounds and areas of expertise.14Empowering Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member firms affiliated with KPMG Internati

56、onal Limited,a private English company limited by guarantee.All rights reserved.Skills shift driven by GenAIThe T-skill frameworkGeneral skills1Life Sciences functional skills1Until 2023Employers encourage the Life Sciences workforce to complement their functional skills(in molecular research,clinic

57、al trials,or patient health data management)with a healthy mix of general skills like project management and leadership as well as skills in ethical use of internet and digital technologies.The Pi-skill frameworkGeneral skills1Life Sciences functional skills1GenAI-operating skills12023 2024With the

58、rapid adoption of GenAI,organizations are now encouraging the workforce to acquire as well as develop capabilities and expertise on the use of GenAI tools.This necessitates learning new skills,such as prompt engineering1,machine learning algorithms,basic programming,and robotics&automation.KPMGs Gen

59、AIM-skill frameworkGeneral skills1Life Sciences functional skills1GenAI-operating skills1GenAI-engineering skills12025+As the GenAI landscape continues to evolve,the Life Sciences workforce will need to adopt a continuous learning mindset and acquire advanced engineering skills.This includes profici

60、ency in software engineering principles,as well as knowledge in natural language processing and GenAI model designing.Investing in a skill shift with an interdisciplinary workforce that is comfortable with digital literacy in building AI systems,as well as adapting and optimizing existing AI systems

61、 to meet specific Life Sciences functional needs,will be a significant differentiating factor.Strategic-level understandingIn-depth knowledgeSource:KPMG in Germany,20241 Concept explained in more detail in the Glossary15Empowering Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporati

62、on under German law and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited,a private English company limited by guarantee.All rights reserved.GenAI Evolution of the workforce of the futureKPMGs implementation model to assist the workf

63、orce transformationThe advent of GenAI is expected to have a transformational impact on the highly regulated and short-staffed Life Sciences industry,requiring companies to upskill/re-skill their workforce at lightening speed.The impact of GenAI is far-reaching,and to remain competitive,industry pla

64、yers should look to adopt an evolution mindset that emphasizes continuous training,effective career pathing and regulatory engagement.Heres a KPMG model that combines GenAI strategy,risk management strategy,and workforce strategy into a single transformative enterprise strategy that promotes sustain

65、able growth and value.16Empowering Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited,a private English company limited by guarantee.All righ

66、ts reserved.Enterprise strategy for growthEmpower the enablers Critically assessworkforces potentialfor leveraging GenAI Identify and map roles,capabilities,andcompetencies to bettermanage the impact ofautomation Recognize skill gaps orareas of potentialinnovation,and thenfocus on upskilling thework

67、forceAssure against risk Conduct rigorousassessment to identifypotential risksassociated with GenAIintegration Create and adhere toethical and regulatoryguidelines Provide role-basedtraining anddevelopment on risksand complianceprocedures related tousage of GenAI toolsEnrich job roles Enhance and au

68、gmentthe existing roles ofemployees Implement and monitoruse of GenAI solutionsby employees at alllevels Provide training tailoredaccording to job rolesand optimize itsefficacy over timeMaximize value Enhance employeeengagement throughfeedback,regularupdates,and training Optimize workforcepotential

69、progressivelyby monitoring results ofGenAI implementation Refresh workforcestrategy on an ongoingbasisWorkforce of the futureThe Life Sciences industry is at the forefront of a major transition,with GenAI transforming the very fabric of the workplace.In order to survive and thrive in this rapidly ev

70、olving landscape,organizations will have to prioritize the humanization of AI and adopt an evolutionary mindset that emphasizes the upskilling and reskilling of their workforce.Ashish Madan Partner,Advisory,KPMG in Germany17Empowering Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corpo

71、ration under German law and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited,a private English company limited by guarantee.All rights reserved.GlossaryDefinition of key terms used in the reportS.no.1Key termClinical research associ

72、ate(CRA)DefinitionCRAs manage and facilitate clinical trials.The role involves working with investigators or sponsors to oversee and coordinate activities related to clinical trials2Compliance officerCompliance officers ensure compliance with relevant laws,regulations,and industry standards.They dev

73、elop,oversee,and implement risk mitigation plans related to compliance within their organization3GenAI-engineering skillsThis category covers advanced skills,including data curation and GenAI model design,essential for customizing and engineering GenAI to achieve business objectives.These skills com

74、plement existing Life Sciences specialist skills and help organizations to remain competitive and relevant in the evolving GenAI world4GenAI-operating skillsThis category covers skills required to develop expertise on the use of GenAI tools,such as prompt engineering,basic programming and new-age ma

75、nagement5General skillsIncludes soft skills,such as basic understanding,leadership and people management,as well as technical skills such as internet use and ethical considerations associated with the use of new tech tools 6Healthcare professional(HCP)HCP is a trained and licensed individual such as

76、 a physician or medical technologist who provides care and services to patients within the healthcare industry7Inventory managerInventory managers are responsible majorly for managing inventory levels,determining reorder points,managing stock levels,and coordinating with suppliers to ensure the time

77、ly delivery of inventory8Life Sciences technical skillsThis category includes skills associated with one or more areas of expertise within Life Sciences,such as specific arms of research(e.g.,genomic,pro-teomic and/or biostatistics),clinical trial management,and/or regulations and pharmacovigilance9

78、Manufacturing engineerManufacturing engineers oversee the design,development,installation,and monitoring of equipment and machinery used in manufacturing of Life Sci-ences products10Market authorization officerMarket authorization officers ensure that products comply with regulatory requirements,ove

79、rsee processes related to pre-market approval applications and manage the regulatory interactions with health authorities11Molecule designMolecule designing is a process within drug development stage,that involves designing/modifying the structure of molecules(such as drugs or biologics)to improve i

80、ts efficacy and safety profile12Patient supportPatient support includes patient education,adherence management and streamlining of interactions with other stakeholders(e.g.,HCPs)13PharmacologistPharmacologists are a specialized set of research scientists who focus specifically on the study of drugs

81、and their effects on biological systems14Post-market surveil-lance officer(PMSO)PMSOs are responsible for monitoring the safety of drugs once they reach the market,after the successful completion of clinical trials15Prompt engineeringPrompt engineering refers to the art of crafting effective instruc

82、tions for generative AI models,to help generate the desired output18Empowering Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited,a private E

83、nglish company limited by guarantee.All rights reserved.S.no.Key termDefinition16Research scientistResearch scientists refer to professionals that plan and conduct experiments and analyze results to develop new products or broaden scientific understand-ing.They may work towards a definite end-use,su

84、ch as for commercial applications,or to advance the general understanding of science17Supply plannerSupply planners,along with inventory managers,help streamline supply chain management functions,such as demand forecasting,production planning,supplier management,and logistics management19Empowering

85、Life Sciences 2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited,a private English company limited by guarantee.All rights reserved.Related GenAI Thought L

86、eadershipPreparing your board for generative AIGenerative AI models the risks and potential rewards in business The potential impact of ChatGPT and the new AI on businessThe flip side of generative AI:Challenges and risks around responsible useGenerative AI:From buzz to business valueContactAuthorsA

87、shish Madan1Partner,Advisory Head of Life Sciences and Chemicals Consulting KPMG in GermanyT+49 69 9587 3382 Shrishti Gupta Manager,Advisory KPMG in GermanyT+49 69 9587 1241 ContributorsHolger KneiselMember of the Executive Board,Head of Advisory KPMG in GermanyT+49 69 9587 3372 Markus FabelPartner,

88、Consulting,Global Head of Quality&Risk Management Advisory KPMG in GermanyT+49 69 9587 4980 www.kpmg.dewww.kpmg.de/socialmediaThe information contained herein is of a general nature and is not intended to address the circumstances of any particular individual or entity.Although we endeavor to provid

89、e accurate and timely information,there can be no guarantee that such information is accu-rate as of the date it is received or that it will continue to be accurate in the future.No one should act on such information without appropriate professional advice after a thorough examination of the particu

90、lar situation.2024 KPMG AG Wirtschaftsprfungsgesellschaft,a corporation under German law and a member firm of the KPMG global organi-zation of independent member firms affiliated with KPMG International Limited,a private English company limited by guarantee.All rights reserved.The KPMG name and logo

91、 are trademarks used under license by the independent member firms of the KPMG global organization.Besides the experts mentioned above,we would like to thank Simon O.Hcker and KPMG Global Services for their contributions.1 Responsible according to German Law(7(2)BerlinerPresseG):As hish MadanSome or all of the services described herein may not be permissible for KPMG audit clients and their affiliates or related entities.