Product Project Manager Research Analyst Resume

Desired Industry: Management	SpiderID: 20981
Desired Job Location: Chicago, Illinois	Date Posted: 5/16/2008
Type of Position: Full-Time Permanent	Availability Date: 06/01/2008
Desired Wage: 70,000
	U.S. Work Authorization: Yes
Job Level: Management (Manager, Director)	Willing to Travel: Yes, Less Than 25%
Highest Degree Attained: Doctoral	Willing to Relocate: Yes

Objective:
Manager of Research and Development or Analytics and Research team.
Continue to participate in quantitative or qualitative analyses
Provide Consulting and staff development

Experience:
Product and Project Manager, Chicago, Illinois, 2005 – Present
CONSULTING SERVICES,
Projects include being accountable for identifying, developing strategies, and acting on growth opportunities while administering technical assistance, consulting, and evaluation of existing policies. Demonstrate client product capabilities through enhancement practices such as implementing and promoting internal research programs in addition to participating in them.
• Develop business models based on internal metrics, conduct competitive intelligence, direct product designs to maximize their performance while utilizing research to interpret findings, educate clients in order to recommend a course of action.
• Active participant on Advisory committees offering recommendations to the President (e.g. Strategic Objectives Committee), proposal review boards, etc.
• Seek and negotiate collaborative efforts (e.g. coauthoring documentation, establishing definitions, and developing products, etc) with third parties (e.g. Academic, Public, and Private sector).
• Actively contribute to research teams by providing expertise, performing technical analyses, and reporting progress to executive management.
• Serve as a point of contact adapting the content of internal and external correspondences to the competencies of the audience.
• Guarantee quality of research by advising review panels, revising and ameliorating proposal content, and evaluating the statistical validity of methodologies.
• Energize and direct research efforts by authoring proposals and conducting primary and secondary research, and expedite research by documenting activities satisfy regulatory constraints.

Manager of Product Services, Yardley, Pennsylvania, 2003 – 2005
Marketing Science: Research & Development
VERISPAN L.L.C., (worked remotely)
Foster a constructive environment by managing research and product development; establishing an improved competitive position by identifying alternative applications, expanding capabilities, and adapting products to serve new markets and client niches.
• Accomplish research and product development initiatives by establishing priorities, defining an agenda and managing lifecycles extending from design through receipt of deliverables.
• Successfully deliver projects by establishing objectives, drafting and implementing plans, integrating and managing interdisciplinary design teams, assembling and allocating resources, and coordinating team contributions.

• Promptly respond to challenges by evaluating and synthesizing internal and external resources, and formulating executable plans of action.
• Establish adaptable protocol, incorporate quality control benchmarks, and chronicle activities and milestones.
• Encourage a cooperative and stimulating management environment by facilitating communication and advocating corporate goals, collaborating with colleagues to dispense staff and expenses where necessary, and by cultivating the healthy exchange of ideas through sponsoring forums.

Manager of Quantitative Products and Projects (Verispan), 1999 - 2003
Catalyst for initiating growth by studying markets and actively developing new products, in addition to the establishment and achievement of ambitious goals by supervising department operations; ensuring product quality and dependability. Foster productive relationships with client and staff.
• Ensure timely and effective results by managing staff, vendor relationships, and finances.
• Anticipate demands on department resources by forecasting product demand; exceed client expectations by bettering temporal and fiscal commitments with reliable deliverables.
• Identify opportunities for growth by monitoring industry events, evaluate their consistency with strategic objectives, and promptly take appropriate action.
• Develop product and project methodologies while managing implementation and guarantee product quality by defining operating procedures, quality control metrics and benchmarks in conjunction with supervising the project managers responsible.
• Facilitate client purchases by directly negotiating time commitments and reviewing Sales proposals.
• Inspire client confidence by demonstrating technical expertise through the efficient design and effectiveness of our products, foster client relationships through research of their specific industry, the anticipation of their objectives and the demonstration of usefulness of our products geared toward their needs; participate in project execution and performing quantitative and qualitative analyses.
• Minimize client and provider barriers by establishing a dialog, encourage client contributions in creating deliverables in addition to proactively seeking client feedback on products.
• Spearhead cooperation between a staff of highly skilled professionals through leadership and a mentoring role along with providing technical tutorials, reviewing work and offering analytical advice.

Statistician/ Project Manager (Verispan), 1996 - 1999
Supervised and participated in the development of information products.
• Enhance technical capabilities by performing custom analyses, designing algorithms through novel applications of conventional techniques and offering statistical consultation.
• Improve product reliability by supervising production, revising operating procedures and insuring quality control standard was met.
• Facilitate product use by authoring straightforward product documentation.

Education:
UNIVERSITY OF CHICAGO, Chicago, Illinois
Post Doctoral Fellowship, 1989 - 1995
Pritzker School of Medicine –Department of Ophthalmology
• Authored and awarded the nationally competitive National Institutes of Health Grant
($100,000- 3 years, research grant)
• Burrough Welcome Award

UNIVERSITY OF CHICAGO, Chicago, Illinois
Master of Science, Statistics, 1991
• Served as a consultant for the Department of Statistics

UNIVERSITY OF CHICAGO
Doctorate (Ph.D.), Cognitive Science, 1988
Research Assistant – Department of Behavioral Sciences
Division – Social Sciences, 1982 – 1988
• Served as a consultant for Qualitative Methods Committee
• Teaching Assistant for Graduate level Experimental Design course

UNIVERSITY OF CHICAGO
Master of Arts, Cognitive Science, 1985
Bachelor of Arts with Honors, Behavioral Science/ Applied Mathematics, 1982
UNIVERSITY OF CHICAGO, Chicago, Illinois
Post Doctoral Fellowship, 1989 - 1995
Pritzker School of Medicine –Department of Ophthalmology
• Authored and awarded the nationally competitive National Institutes of Health Grant
($100,000- 3 years, research grant)
• Burrough Welcome Award

UNIVERSITY OF CHICAGO, Chicago, Illinois
Master of Science, Statistics, 1991
• Served as a consultant for the Department of Statistics

UNIVERSITY OF CHICAGO
Doctorate (Ph.D.), Cognitive Science, 1988
Research Assistant – Department of Behavioral Sciences
Division – Social Sciences, 1982 – 1988
• Served as a consultant for Qualitative Methods Committee
• Teaching Assistant for Graduate level Experimental Design course

UNIVERSITY OF CHICAGO
Master of Arts, Cognitive Science, 1985
Bachelor of Arts with Honors, Behavioral Science/ Applied Mathematics, 1982

Skills:
Relevant Experience:
Software: SAS.
Large Scale Databases: census and real-time fiscal (i.e., claim) transactions data (1.8B records).
Marketing Techniques: market segmentation (e.g., clustering analyses), and classification (e.g., discriminate analysis); multidimensional scaling; and tools (e.g. Gartner magic quadrants).
Survey Design, and Analysis: Likert, Guttman, & Thurstone Scaling, Stratification, Cluster and Multi-stage sampling; adaptive, discrete choice, and full-profile conjoint analysis and perceptual maps.
Predictive Analytics: neural networks (e.g., multi-layer perceptron, radial basis function, and Kohonen), and decision trees (e.g., C&RT, and CHAID), boosting, bagging, and forests.
Qualitative Analysis: causal modeling (e.g., latent structural equations & analysis, and path analysis).
Quantitative Analysis: hierarchical Bayesian techniques, logistic factorial and regression models, proportional hazards and survival functions; experimental design (e.g., mixed factor: full-rank, and fractional designs); multivariate data reduction (e.g., principle components and factor analyses, canonical correlation), classification (e.g., nearest, and furthest neighbor, and k-means analyses), and inference (e.g., MANOVA); Resampling (Bootstrapping, and Jackknifing).
Biostatistics: Clinical Trial designs: Direct & Indirect Type I Error allocation; Confidence Intervals: Exact, and Approximate; Sampling: Sequential, Group, Curtailed, and Stochastic Curtailment; Survival function estimation (e.g., Kaplan-Meier Estimator); hazard functions (e.g., Exponential w & w/o cure, Weibull, Gompertz, Lognormal, etc.); and Cox Regression.
Clinical-trial Research: Investigational New Drug (IND) - Documentation: Investigator’s Brochure, and Protocols, Forms: Informed Consent and Case Report, and Reports: Safety and Annual; and Phase I – IV clinical studies.
Regulatory Constraints: Food and Drug Administration’s (FDA) Code of Federal Regulations (CFR) and Guidance for Drug Studies, and International Conference on Harmonization’s (ICH) guidelines: Good Clinical Practice (GCP), and Good Manufacturing Practice (GMP).
Clinical-trial Organizations: Center for Drug Evaluation and Research (CDER), Center for Biologics Evaluation and Research (CBER), Institutional Review Board (IRB) / Independent Ethics Committee (IEC), Data Monitoring Committee, and Contract Research Organizations (i.e., CRO).
Healthcare industry knowledge: PBM fiscal (i.e., claim) transactions data, federal/state fiscal and epidemiological databases (e.g., Medpar, Standard Analytic Files (SAF), National Hospital Discharge Survey (NHDS) etc.), data acquisition devices (i.e., CMS’s UB-92 (1450) & 1500 formats), and medical coding schemes for diagnoses and procedures (e.g., ICD9, DRG, HCPCS (CPT)), drugs (e.g., NDC11, HCPCS (J-Codes)), facilities and physicians (e.g., HIN, DEA, and UPIN), and pharmacies (e.g., NCPDP).

Additional Information:
ACCOMPLISHMENTS (sample)

Technical:
• Identified source and remedied product discrepancies of 100% - 200% in real-time, electronic records.
• Developed Scoring and Bayesian algorithms associating real-time, electronic records.
• Designed cascading, multi-stage paradigm identifying latent processes from open-format survey data.
• Developed graphic density plots to represent distributions of latent variable magnitudes.
• Designed algorithm translating medical procedure codes across coding schemes.

Research and Development:
Project reports
• Intervention Indicators for Student Retention in Online Programs.
• Faculty and Student processes mediating Audio-supplemented relative to conventional online student instructional seminars.
• Implication of Medicare Part D for product opportunities targeting generic pharmaceuticals, mail-order and Specialty pharmacies, and drug delivery techniques.
• Competitive Advantage afforded quantitative products by possessing data acquisition products.
• Assessment of Pharmaceutical product: pharmakinetics, side effects, and mechanisms of actions.

Research and Development continued:
Projects
• Assessed marketing strategy of repackaging modular, fully integratible product lines as discounted bundles customized to serve specific application categories.
• Assessed suitability of third party educational programs for online instruction.
• Assessed the utility and feasibility to extend established product lines to narrowly defined highly competitive, trillion dollar markets and underserved billion dollar markets.

• Assessed utility and feasibility of extending Pharmaceutical marketing services to span the entire drug development process.
• Expanded product lines to include offering research services and executing research programs.

Operations Management:
• Member of Institutional Review Board, representing interests of the Office for Human Research Protections (OHRP). Established IRBs DHHS: 45CFR46.107, and drafted Informed Consent documents 45CFR46.116.
• Standardized vendor data product requirements and defined policy for coordinating vendor activities.
• Coordinated inter-departmental merger of analytic resources, transfer of production responsibilities, and staff reassignments.
• Negotiated intra-department, and third party acquisition of intellectual resources, collaborative investigations regarding product discrepancies, and joint purchase of costly data products.
• Served as internal and external department representative with exclusive responsibility for department performance, while encouraging staff independence and mutual cooperation.

BIBLIOGRAPHY:
Peer-reviewed Articles:

R.A. Humanski and H.R. Wilson (1993) Spatial Frequency Adaptation: Evidence for a Multiple-Channel Model of Short-Wavelength-Sensitive Cone Spatial Fields, Vision Research, Volume 33, pp. 665-675.

H.R. Wilson and R.A. Humanski (1993) Spatial Frequency Adaptation and Contrast Gain Control, Vision Research, Volume 33, pp. 1133-1149.

R.A. Humanski and H.R. Wilson (1992) Spatial Mechanisms with Short-Wavelength-Sensitive Cone Inputs, Vision Research, Volume 32, pp. 549-560.

R.A. Butler and R.A. Humanski (1992) Localization of Sound in the Vertical Plane with and without High Frequency Spectral Cues, Perception and Psychophysics, Volume 51, pp.182-186.

S.K. Shevell and R.A. Humanski (1991) Color Opponency from Eye to Brain, In B. Lee and A. Valberg (Eds.), From Pigments to Perception: Advances in Understanding Visual Processes, pp.325-336. Plenum Press, New York.

R.A. Butler, R.A. Humanski, and A. Musicant (1990) Binaural and Monaural Localization of Sound in Two-Dimensional Space, Perception, Volume 19, pp. 241-256.

R.A. Humanski and S.K. Shevell (1990) Factors Contributing to Differences in Rayleigh Matches of Normal Trichromats, In B. Drum and J. Moreland (Eds.), Color Vision Deficiency X, pp.537-545. Dordrecht: Kluwer Academic Press.

S.K. Shevell and R.A. Humanski (1988) Color Perception under Chromatic Adaptation: Red/Green Equilibria with Adapted Short-Wavelength-Sensitive Cones, Vision Research, Volume 28, pp. 1345-1356.

R.A. Humanski and R.A. Butler (1988) The Contribution of the Near and Far Ear Toward Localization of Sound in the Sagittal Plane, Journal of the Acoustical Society of America, Volume 83, pp. 2300-2310.

R.A. Humanski and S.K. Shevell (1985) Color Perception with Binocularly Fused Adapting Fields of Different Wavelengths, Vision Research, Volume 25, pp. 1923-1935.

S.K. Shevell and R.A. Humanski (1984) Color Perception under Contralateral and Binocularly Fused Chromatic Adaptation, Vision Research, Volume 24, pp. 1011-1019.

Candidate Contact Information:

Name: Richard Humanski
Street:	Phone: 847 692-3300
City: Park Ridge	Fax: -
State: Illinois
Zip: 60068
Web Site: