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BIOTECHNOLOGY R&D
AND CORPORATE
STRATEGY
Dr. Bhaswat S. Chakraborty
Sr. VP & Chair, R&D Science Core
Committee
Cadila Pharmaceuticals Ltd.
Presented at the NRDC Industry Seminar, Surya
Palace Hotel, Vadodara, February 9, 2015
1
CONTENTS
 The pharmaceutical biotechnology world
 Its R&D
 Business model & early stage funding gap
 The concept of Strategy
 Purposes of a good strategy
 Elements of R&D performance strategies
 Biotech innovators’ strategy case studies
 Biosimilar R&D strategy case studies
 Conclusions
2
INNOVATIVE
BIOLOGICALS R&D
3
TOP 10 PRODUCTS BY SALES IN
2014
4
  Rank  Product  Company  Technology 
WW
sales($m) 
  1 Avastin  Roche  Monoclonal antibody   9,232
  2 Humira  Abbott +  Eisai  Monoclonal antibody   9,134
  3   Rituxan  Roche  Monoclonal antibody   7,815  
  4   Enbrel  Wyeth +  Amgen +  Takeda  Recombinant product   6,583  
  5   Lantus  Sanofi-Aventis  Recombinant product   6,386  
  6   Herceptin  Roche  Monoclonal antibody   5,796  
  7   Crestor  AstraZeneca 
Small molecule
chemistry 
 5,739  
  8   Spiriva  Boehringer Ingelheim 
Small molecule
chemistry 
 5,552  
  9   Remicade 
SGP + J&J + Mitsubishi
Tanabe 
Monoclonal antibody   5,220  
  10   Gleevec/Glivec  Novartis 
Small molecule
chemistry 
 5,136  
UNDERSTANDING THE
BIOTECH & LIFE SCIENCES
BUSINESS MODEL
5
6
7
MANUFACTURING PROCESS FOR
BIOLOGICS
8
Strategy = Commitment to winning knowledge and behavior
9
PURPOSES OF A GOOD
STRATEGY
 Three purposes
 Consistency
 Coherence
 Alignment
1. Consistency
 Advantage is not the result of a single decision, but rather the
cumulative outcome of a series of decisions, actions, and
behaviors over time
 A good strategy provides a framework for making
consistent decisions over time
 Builds cumulatively toward a desired objective
Pisano G (2012) HBS Working Paper 12-095
10
PUPOSES OF A GOOD
STRATEGY..
2. Coherence
 In a complex organization, many decisions are to shape
competitive capabilities (which projects get funded, who gets
hired and promoted..)
 Decisions are often made in far-flung corners of the
organization and, today, in different parts of the globe
 Strategy provides an integrating mechanism to ensure these
tactical decisions are coherent
 Organizations sometimes try to compensate for poor
strategy by creating committees and others communication
mechanisms to ensure decisions are integrated
 Such devices are a poor and inefficient substitute for good,
clear strategy.
11
PUPOSES OF A GOOD
STRATEGY…
3. Alignment
 Organizations thrive when their strategies are aligned to
the realities of the environment
 Or with the broader organizational context in which they
operate
 An R&D organization needs to have a strategy that is
aligned with the broader business strategy of the
organization
 A strategy should help driving alignment
12
ELEMENTS OF R&D
STRATEGY
13
Pisano G (2012) HBS Working Paper 12-095
R&D ELEMENTS
 Architecture
 Centralization vs. Decentralization
 Size and focus of units (by market or by technology?
 Outsourcing vs. Internal
 Better architecture depends organization’s “core
hypotheses” about what it takes to win
 For integration centralized model is better
 For tapping geographically diverse knowledge bases
decentralized model is the choice
14
R&D ELEMENTS..
 Processes
 Development & decision making process
 Governance and Metrics
 “Best practice” and highly “structured” R&D processes
with tightly specified procedures, review etc. need to be
examined
 May be a more “flexible” process would deliver R&D
goals (highly novel & uncertain) technologies
 If R&D must be tightly coordinated with other
functions (like manufacturing), tightly specified process
may be necessary to keep everyone on the same page 15
R&D ELEMENTS…
 People
 Most important aspect of an R&D system
 Make impactful choice of resources
 Right mix of generalists vs. specialists, technical backgrounds and
training, work styles, career paths, lay off policies
 No one best human resource strategy for R&D
 Comfortable with churn? May be in a technology hot-spot (e.g.,
Boston or Mumbai)
 If the R&D labs are geographically isolated, assurance of job security
to attract & retain talent
 Portfolio
 Desired resource allocation across different types of R&D projects
 Criteria used to sort, prioritize, and select projects (should reflect the
priorities of the R&D strategy
 e.g., innovative biotech company wants to win by discovering its own first-
in-class drugs vs. biosimilar developers.
16
A FEW BASIC QUESTIONS TO
FORMULATE A GOOD STRATEGY
 Have we been absolutely clear about how we intend to win?
 Everyone should understand what the priorities are and what
they mean for them
 Are the choices we are making about architecture,
processes, people, and portfolio coherent?
 Are there any major conflicts between our policies?
 Third, do all our choices form an integrated “system” focused
on the key priorities (how we intend to win)?
 Finally, because a strategy is a “hypothesis”, we need to
evaluate our R&D strategy against performance data
 when the time has come to reject our initial hypothesis &
change strategies, do so 17
INNOVATION R&D STRATEGY:
CASE STUDY 1 – GSK
 Key strategy: Breaking R&D up into smaller units
 In 2000 GSK restructured its R&D focused on therapeutic area units, cancer,
neurology, etc., called Centers of Excellence in Drug Discovery (CEDD)
 Each CEDD was responsible for the development of molecules in its designated
therapeutic realm, from discovery through PoC
 Early discovery (target identification and molecule discovery) and late stage
development (Phase III trials, registration, etc.) was still centralized
 CEDDs had complete autonomy over their own portfolio management
 After PoC, the CEDD would present programs to a centralized senior
management from R&D, business units, and corporate headquarters) for a
“go/no-go” decision for full development.
 Core Hypothesis (Architectural): Smaller, focused, autonomous,
and more accountable units would make more efficient decisions
regarding portfolio advancement
 An attempt to create “biotech-like” organizations inside the larger
corporate framework 18
Based on Harvard Business School Case Study #9-605-074.
INNOVATION R&D STRATEGY:
CASE STUDY 2 – WYETH
 Key strategy: Metrics based centralized approach
 Wyeth senior management saw poor R&D productivity rooted in poor
decision-making and misaligned incentives
 Solution: standardized development process, metrics and performance
 Precise numerical targets (12 new clinical candidates /year), financial
rewards tied to to them, structured development process, specified
milestones and reviews for every program
 All projects would follow the same process
 Core Hypothesis (Processes): Make R&D process more predictable
by a more “repeatable” process, setting clear performance
objectives, and by clarifying decision-making
 Project advancement governed centrally
19
Based on Harvard Business School Case Study #9-607-008.
INNOVATION R&D STRATEGY:
CASE STUDY 3 – NOVARTIS
 Key strategy: Science first; decentralized
 In 2002, Novartis opened a research laboratory in Cambridge, MA to be
close to a thriving ecosystem of biotechnology Cos & leading academic
institutes
 Under the auspices of the Novartis Institutes of Biomedical Research (NIBR),
headquartered in Boston
 NIBR, an autonomous organization, reports to Novartis CEO, has 6 sites
 Focus areas determined by NIBR are based on two basic criteria: large unmet medical
need and an opportunity to develop deep biological insight
 Aalysis of market size and net present value were explicitly rejected as criteria for
project selection at the research phase!
 Core Hypothesis (All elemnts): improved scientific
knowledge of the disease & MoA would allow better decision-making about
drug candidates to advance, and this would ultimately reduce attrition
 Strategy addressed architecture (separate NIBR), people (locate
where the talent is), process (establish proof of mechanism in well-
defined patient populations first), & portfolio (select projects based
on scientific attributes)
20
Based on Harvard Business School Case Study #9-608-136
BIOSIMILARS R&D
21
RECOMBINANT PROTEIN PRODUCTION:
SOURCES OF VARIATION BETWEEN MANUFACTURERS
Mellstedt H et al. Ann Oncol 2007;19:411-419
22
OVERVIEW OF USFDA
GUIDELINES FOR BIOSIMILARS
Integration of Information to Biosimilarity
23
24
The 2012–2019 patent cliff is highlighted in yellow
FOR THE TOP TEN SELLING
BIOLOGICS
25
Calo-Fern´andez B et al (2012) Pharmaceuticals 2012, 5, 1393-1408
A GENERAL STRATEGY DIAGRAM FOR A
SUCCESSFUL ENTRANCE INTO
BIOSIMILARS MARKET
26
Calo-Fern´andez B et al (2012) Pharmaceuticals 2012, 5, 1393-1408
The requirement for key capabilities varies
with the market maturity: from brand-driven in
short term to price-driven in long term
Global sales for three blockbuster chemical drugs: Effexor, Lipitor and Plavix.
The solid coloured lines represent the annual sales of the product until 2011; the dotted
lines represent a projection of the sales for the following years based on Effexor’s drop in
revenue drop (see Appendix). The shadowed areas correspond to the patent expiration year
as indicated in the legend (data from: [2,3]).
27
Evolution of global sales for the top ten branded biologic drugs from 2004 to 2011.
The products below account for 37.6% of the total biologics market value, adding up to 53.4
billion USD in 2011 (data from financial statements 2004–2010 and [10–15]).
28
Inserted subfigures are Pfizer’s biosimilar capabilities
before the acquisition of Wyeth and the contributions of this
deal
ESTABLISHING THE STRATEGIC
DEALS
29
Konde V. (2009) Journal of Commercial Biotechnology Vol. 15, 3, 215–226
INDIAN BIOTECH
COMPANIES
30
Company Products/technologies/services in the market
Business
model
  Main sector  
Advinus Theraputics,
Bangalore and Pune
Metabolic disorders, inflammatory diseases, neglected
diseases
Hybrid
Avestha, Bangalore
Agbiotech and transgenics, biosimilars Vertical
Bharat Biotech International,
Hyderabad Recombinant drugs, cardiovascular diseases, vaccines Product
Bhat Bio-Tech India,
Bangalore
Recombinant proteins, diagnostic markers Hybrid
Bharat Serums and Vaccines,
Mumbai Plasma derivatives, monoclonals, hormones, serums.. Product
Biocon, Bangalore Industrial enzymes, recombinant protein therapeutic
products and human growth hormone
Vertical
Biological E., Hyderabad Diagnostics, combination vaccines, antitetanus and
antisnake venom sera
Vertical
Dr Reddy's Laboratories,
Hyderabad
Infectious and parasitic diseases, oncology, immune
disorders, endocrine, nutritional and metabolic
diseases, ..
Vertical
Gennova Biopharmaceuticals,
Pune
Hi-tech molecules in nephrology, oncology and
cardiology segment
Product
Indian Immunologicals,
Hyderabad
Pediatric and childhood vaccines, DNA-based vaccines,
animal- and human-health products
Product
Indian biotechnology database (http://www.indianbiotech.com/in/db/index.php).
31
CONCLUDING REMARKS
 Strategy entails a systematic approach to make an R&D
organization more competitive and effective
 Consistent and coherent choices across architecture, processes,
people, and portfolio seem to give a reliable and successful
strategy
 Different companies pursued different strategies to essentially
address the same problem
 differences were largely rooted in different “core hypotheses” (bets) on the
underlying root cause of non-productivity of R&D
 Innovative biotech companies have been enjoying bonanza times
since1990s following good R&D strategies
 Biotech biosimilar companies position themselves to enter
biosimilars market by acquiring or developing R&D,
manufacturing, supporting activities, marketing or lobbying ca
 Thus capability-benchmarking is the key for any company
planning to generate value from the biologics patent cliff
32
THANK YOU VERY
MUCH
Acknowledgement: Ms. Raji Nair
33

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Biotechnology R&D and corporate strategy

  • 1. BIOTECHNOLOGY R&D AND CORPORATE STRATEGY Dr. Bhaswat S. Chakraborty Sr. VP & Chair, R&D Science Core Committee Cadila Pharmaceuticals Ltd. Presented at the NRDC Industry Seminar, Surya Palace Hotel, Vadodara, February 9, 2015 1
  • 2. CONTENTS  The pharmaceutical biotechnology world  Its R&D  Business model & early stage funding gap  The concept of Strategy  Purposes of a good strategy  Elements of R&D performance strategies  Biotech innovators’ strategy case studies  Biosimilar R&D strategy case studies  Conclusions 2
  • 4. TOP 10 PRODUCTS BY SALES IN 2014 4   Rank  Product  Company  Technology  WW sales($m)    1 Avastin  Roche  Monoclonal antibody   9,232   2 Humira  Abbott +  Eisai  Monoclonal antibody   9,134   3   Rituxan  Roche  Monoclonal antibody   7,815     4   Enbrel  Wyeth +  Amgen +  Takeda  Recombinant product   6,583     5   Lantus  Sanofi-Aventis  Recombinant product   6,386     6   Herceptin  Roche  Monoclonal antibody   5,796     7   Crestor  AstraZeneca  Small molecule chemistry   5,739     8   Spiriva  Boehringer Ingelheim  Small molecule chemistry   5,552     9   Remicade  SGP + J&J + Mitsubishi Tanabe  Monoclonal antibody   5,220     10   Gleevec/Glivec  Novartis  Small molecule chemistry   5,136  
  • 5. UNDERSTANDING THE BIOTECH & LIFE SCIENCES BUSINESS MODEL 5
  • 6. 6
  • 7. 7
  • 9. Strategy = Commitment to winning knowledge and behavior 9
  • 10. PURPOSES OF A GOOD STRATEGY  Three purposes  Consistency  Coherence  Alignment 1. Consistency  Advantage is not the result of a single decision, but rather the cumulative outcome of a series of decisions, actions, and behaviors over time  A good strategy provides a framework for making consistent decisions over time  Builds cumulatively toward a desired objective Pisano G (2012) HBS Working Paper 12-095 10
  • 11. PUPOSES OF A GOOD STRATEGY.. 2. Coherence  In a complex organization, many decisions are to shape competitive capabilities (which projects get funded, who gets hired and promoted..)  Decisions are often made in far-flung corners of the organization and, today, in different parts of the globe  Strategy provides an integrating mechanism to ensure these tactical decisions are coherent  Organizations sometimes try to compensate for poor strategy by creating committees and others communication mechanisms to ensure decisions are integrated  Such devices are a poor and inefficient substitute for good, clear strategy. 11
  • 12. PUPOSES OF A GOOD STRATEGY… 3. Alignment  Organizations thrive when their strategies are aligned to the realities of the environment  Or with the broader organizational context in which they operate  An R&D organization needs to have a strategy that is aligned with the broader business strategy of the organization  A strategy should help driving alignment 12
  • 13. ELEMENTS OF R&D STRATEGY 13 Pisano G (2012) HBS Working Paper 12-095
  • 14. R&D ELEMENTS  Architecture  Centralization vs. Decentralization  Size and focus of units (by market or by technology?  Outsourcing vs. Internal  Better architecture depends organization’s “core hypotheses” about what it takes to win  For integration centralized model is better  For tapping geographically diverse knowledge bases decentralized model is the choice 14
  • 15. R&D ELEMENTS..  Processes  Development & decision making process  Governance and Metrics  “Best practice” and highly “structured” R&D processes with tightly specified procedures, review etc. need to be examined  May be a more “flexible” process would deliver R&D goals (highly novel & uncertain) technologies  If R&D must be tightly coordinated with other functions (like manufacturing), tightly specified process may be necessary to keep everyone on the same page 15
  • 16. R&D ELEMENTS…  People  Most important aspect of an R&D system  Make impactful choice of resources  Right mix of generalists vs. specialists, technical backgrounds and training, work styles, career paths, lay off policies  No one best human resource strategy for R&D  Comfortable with churn? May be in a technology hot-spot (e.g., Boston or Mumbai)  If the R&D labs are geographically isolated, assurance of job security to attract & retain talent  Portfolio  Desired resource allocation across different types of R&D projects  Criteria used to sort, prioritize, and select projects (should reflect the priorities of the R&D strategy  e.g., innovative biotech company wants to win by discovering its own first- in-class drugs vs. biosimilar developers. 16
  • 17. A FEW BASIC QUESTIONS TO FORMULATE A GOOD STRATEGY  Have we been absolutely clear about how we intend to win?  Everyone should understand what the priorities are and what they mean for them  Are the choices we are making about architecture, processes, people, and portfolio coherent?  Are there any major conflicts between our policies?  Third, do all our choices form an integrated “system” focused on the key priorities (how we intend to win)?  Finally, because a strategy is a “hypothesis”, we need to evaluate our R&D strategy against performance data  when the time has come to reject our initial hypothesis & change strategies, do so 17
  • 18. INNOVATION R&D STRATEGY: CASE STUDY 1 – GSK  Key strategy: Breaking R&D up into smaller units  In 2000 GSK restructured its R&D focused on therapeutic area units, cancer, neurology, etc., called Centers of Excellence in Drug Discovery (CEDD)  Each CEDD was responsible for the development of molecules in its designated therapeutic realm, from discovery through PoC  Early discovery (target identification and molecule discovery) and late stage development (Phase III trials, registration, etc.) was still centralized  CEDDs had complete autonomy over their own portfolio management  After PoC, the CEDD would present programs to a centralized senior management from R&D, business units, and corporate headquarters) for a “go/no-go” decision for full development.  Core Hypothesis (Architectural): Smaller, focused, autonomous, and more accountable units would make more efficient decisions regarding portfolio advancement  An attempt to create “biotech-like” organizations inside the larger corporate framework 18 Based on Harvard Business School Case Study #9-605-074.
  • 19. INNOVATION R&D STRATEGY: CASE STUDY 2 – WYETH  Key strategy: Metrics based centralized approach  Wyeth senior management saw poor R&D productivity rooted in poor decision-making and misaligned incentives  Solution: standardized development process, metrics and performance  Precise numerical targets (12 new clinical candidates /year), financial rewards tied to to them, structured development process, specified milestones and reviews for every program  All projects would follow the same process  Core Hypothesis (Processes): Make R&D process more predictable by a more “repeatable” process, setting clear performance objectives, and by clarifying decision-making  Project advancement governed centrally 19 Based on Harvard Business School Case Study #9-607-008.
  • 20. INNOVATION R&D STRATEGY: CASE STUDY 3 – NOVARTIS  Key strategy: Science first; decentralized  In 2002, Novartis opened a research laboratory in Cambridge, MA to be close to a thriving ecosystem of biotechnology Cos & leading academic institutes  Under the auspices of the Novartis Institutes of Biomedical Research (NIBR), headquartered in Boston  NIBR, an autonomous organization, reports to Novartis CEO, has 6 sites  Focus areas determined by NIBR are based on two basic criteria: large unmet medical need and an opportunity to develop deep biological insight  Aalysis of market size and net present value were explicitly rejected as criteria for project selection at the research phase!  Core Hypothesis (All elemnts): improved scientific knowledge of the disease & MoA would allow better decision-making about drug candidates to advance, and this would ultimately reduce attrition  Strategy addressed architecture (separate NIBR), people (locate where the talent is), process (establish proof of mechanism in well- defined patient populations first), & portfolio (select projects based on scientific attributes) 20 Based on Harvard Business School Case Study #9-608-136
  • 22. RECOMBINANT PROTEIN PRODUCTION: SOURCES OF VARIATION BETWEEN MANUFACTURERS Mellstedt H et al. Ann Oncol 2007;19:411-419 22
  • 23. OVERVIEW OF USFDA GUIDELINES FOR BIOSIMILARS Integration of Information to Biosimilarity 23
  • 24. 24
  • 25. The 2012–2019 patent cliff is highlighted in yellow FOR THE TOP TEN SELLING BIOLOGICS 25 Calo-Fern´andez B et al (2012) Pharmaceuticals 2012, 5, 1393-1408
  • 26. A GENERAL STRATEGY DIAGRAM FOR A SUCCESSFUL ENTRANCE INTO BIOSIMILARS MARKET 26 Calo-Fern´andez B et al (2012) Pharmaceuticals 2012, 5, 1393-1408 The requirement for key capabilities varies with the market maturity: from brand-driven in short term to price-driven in long term
  • 27. Global sales for three blockbuster chemical drugs: Effexor, Lipitor and Plavix. The solid coloured lines represent the annual sales of the product until 2011; the dotted lines represent a projection of the sales for the following years based on Effexor’s drop in revenue drop (see Appendix). The shadowed areas correspond to the patent expiration year as indicated in the legend (data from: [2,3]). 27
  • 28. Evolution of global sales for the top ten branded biologic drugs from 2004 to 2011. The products below account for 37.6% of the total biologics market value, adding up to 53.4 billion USD in 2011 (data from financial statements 2004–2010 and [10–15]). 28
  • 29. Inserted subfigures are Pfizer’s biosimilar capabilities before the acquisition of Wyeth and the contributions of this deal ESTABLISHING THE STRATEGIC DEALS 29
  • 30. Konde V. (2009) Journal of Commercial Biotechnology Vol. 15, 3, 215–226 INDIAN BIOTECH COMPANIES 30
  • 31. Company Products/technologies/services in the market Business model   Main sector   Advinus Theraputics, Bangalore and Pune Metabolic disorders, inflammatory diseases, neglected diseases Hybrid Avestha, Bangalore Agbiotech and transgenics, biosimilars Vertical Bharat Biotech International, Hyderabad Recombinant drugs, cardiovascular diseases, vaccines Product Bhat Bio-Tech India, Bangalore Recombinant proteins, diagnostic markers Hybrid Bharat Serums and Vaccines, Mumbai Plasma derivatives, monoclonals, hormones, serums.. Product Biocon, Bangalore Industrial enzymes, recombinant protein therapeutic products and human growth hormone Vertical Biological E., Hyderabad Diagnostics, combination vaccines, antitetanus and antisnake venom sera Vertical Dr Reddy's Laboratories, Hyderabad Infectious and parasitic diseases, oncology, immune disorders, endocrine, nutritional and metabolic diseases, .. Vertical Gennova Biopharmaceuticals, Pune Hi-tech molecules in nephrology, oncology and cardiology segment Product Indian Immunologicals, Hyderabad Pediatric and childhood vaccines, DNA-based vaccines, animal- and human-health products Product Indian biotechnology database (http://www.indianbiotech.com/in/db/index.php). 31
  • 32. CONCLUDING REMARKS  Strategy entails a systematic approach to make an R&D organization more competitive and effective  Consistent and coherent choices across architecture, processes, people, and portfolio seem to give a reliable and successful strategy  Different companies pursued different strategies to essentially address the same problem  differences were largely rooted in different “core hypotheses” (bets) on the underlying root cause of non-productivity of R&D  Innovative biotech companies have been enjoying bonanza times since1990s following good R&D strategies  Biotech biosimilar companies position themselves to enter biosimilars market by acquiring or developing R&D, manufacturing, supporting activities, marketing or lobbying ca  Thus capability-benchmarking is the key for any company planning to generate value from the biologics patent cliff 32

Editor's Notes

  1. Architecture refers to the set of decisions around how R&D is structured both organizationally and geographically. This category includes decisions such as centralization vs. decentralization of R&D; the size, location, and focus of R&D units (e.g. focus by market? focus by technology?); whether R&D units report to business units or are autonomous; whether research is organizationally separated from development; and the degree to which R&D utilizes external resources and partnerships. There is no single best architecture for an R&D organization. For instance, a highly centralized R&D organization facilitates communication and integration across different functional groups; at the same time, centralization forfeits the benefits of having a geographically diversified “footprint” of R&D facilities located close to different global technology hotspots. The better approach depends on the organization’s “core hypotheses” about what it takes to win. If it is betting on integration, then the centralized model is better. If it thinks tapping geographically diverse knowledge bases is the key to winning, then the decentralized model is a better route.
  2. Processes are the formal and informal ways that R&D is carried out. This category includes choices about project management systems, the governance of projects (including the nature of senior management reviews), the sequence and flow of critical project tasks, the timing of reviews, and the metrics and indicators used to track projects. Too often, certain kinds of development processes are pitched as “best practice” when, in fact, process design is very contingent on the overall R&D strategy. Consider the choice between a highly “structured” R&D process (with tightly specified procedures, review points, etc.) and a more “flexible” process. Which is better? Again, it depends on broader R&D goals and other choices. An R&D organization working on highly novel (and highly uncertain) technologies may need much more process flexibility so that it can have the latitude to explore and iterate. In contrast, where R&D must be tightly coordinated with other functions (like manufacturing), a more tightly specified process may be necessary to “keep everyone on the same page.”
  3. People are obviously an enormously important aspect of an R&D system. Despite the growing use of sophisticated instrumentation, computer simulation, and laboratory automation, R&D is still a labor intensive process. Thus, choices about human resources-- such as the mix of generalists vs. specialists, technical backgrounds and training, work styles, career paths, lay off policies, etc.—have a significant impact on R&D performance. Again, there is no one best human resource strategy for R&D. Take for instance lay-off policies and career paths. Some companies implicitly promise their R&D workforce that they will have relatively steady employment and seek to attract people who will tend to stay at the company. Other companies are comfortable with a degree of “churn.” They do not expect people to stay along, but neither do they promise much job security. Which approach is better? That depends on the location of the R&D laboratories (an architectural choice). If one is located in a technology hot-spot (like say Silicon Valley or Boston), a high “churn” model may be perfectly reasonable (and, unavoidable). But, if the R&D labs are more geographically isolated, then it is much more important to promise some degree of job security to attract talent. Portfolio refers to the desired resource allocation across different types of R&D projects and the criteria used to sort, prioritize, and select projects. The R&D portfolio should reflect the priorities of the R&D strategy. For instance, a pharmaceutical company that “intends to win” by discovering its own first-in-class drugs should have a very different portfolio allocation than a company that is trying to win by developing follow-on drugs in already established drug classes.
  4. Recombinant protein production: sources of variation between manufacturers.