HEOR Manager - KMK Consulting

KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.

Our data analytics and software platforms support data science, commercial operations, real world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies.

We have more than 180 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.

Job Overview:

We are currently seeking an experienced Health Economics & Outcomes Research (HE&OR) Associate.  This position is responsible for the scientific and methodological aspects of all observational database analytics and evidence synthesis with minimal supervision.

Job Description

• Proactively identify clients' business pain points, short-term and long-term business objectives, propose and scope out HEOR/RWE studies with clear business and statistical rationales all aspects of RWE databases studies/analyses including objectives, project framework and phases, study design and methodology, data source identification and comparison, protocol development, statistical analysis and interpretation, project timeline and resource, roles and responsibilities.
• Train and lead with full ownership of RWE studies/analyses by SAS/SQL/R/Python based on claim database, EMR database, registry data and public used files. 
• Provide and implement best practice on how to generate high quality, readily interpretable deliverables (e.g., data tables, graphs, charts, study reports) to KMK extended teams.
• Create and customize template of all deliverables including project proposal and statement of work, protocols, statistical analysis plan, mock table shells, final deliverable documentations and presentations, project management tracker, internal and external case study and sales/marking materials. 
• Effectively communicate research findings and business impact and solutions internally and externally.
• Effectively manage and track client engagement, current and future projects, KMK team resource utilization and planning, KMK team skills and capabilities improvement. Foresee potential issues and impact on client engagement and provide suggestions on best path forward for engagement success.
• Heavily involved in KMK recruitment and performance management activities. Develop and implement effective screening and appraisal process to identify and retain top talent and drive growth of KMK HEOR/RWE capacity and capabilities. 
• Participate in business development activities as subject matter experts and assist in revenue generation.
• Ensure team is effectively trained and adopt latest methodologies and analytical techniques consistently. Lead and build training materials and team-wide knowledge sharing sessions.
• Contribute to the continuing education of relevant line functions on HEOR/RWE knowledge and methodologies.
    

Requirements

• Minimum MS in statistics, biostatistics, epidemiology, health economics and outcomes research, health policy, or similar. 
• At least 5 years' hands-on experience in managing client relationship and long-term engagement, managing end-to-end RWE projects, and managing RWE team(s) specialized in conducting observational data studies.
• In-depth understanding and hands-on experience providing client-facing services in a team environment of statistical methodology and RWE programming.
• Excellent interpersonal communication and management skills.
• Ability to take detailed HE&OR study results and communicate them in a clear, non-technical manner to internal cross-functional teams, using language that resonates with the teams, while maintaining the integrity of key findings.
• Ability to work effectively in a constantly changing, diverse, and matrix environment.
• Ability to proactively identify new opportunities and solutions
• Strong working knowledge of the Microsoft Office Suite (Word, PowerPoint, Excel) 

Qualifications:

• Positive attitude/interested: Good candidates care about the result and how the result be used. They are willing to spend more time to explore more in addition to what is requested. They are able to readily take ownership of responsibilities
• Good problem-solving/critical thinking skills: Good candidates are able to understand problems clearly. They ask the right questions, break problems down into hypotheses and propose solutions in a coherent manner.
• Solid programming and analytical skills: Good candidates demonstrate competence in the application of statistical techniques and professional in programming which includes good programming habit and self-QC process.
• Good communication skills: Good candidates are able to take detailed study results and communicate them in a clear, non-technical manner to internal cross-functional teams, using language that resonates with the teams, while maintaining the integrity of key findings.
• Great at time and task management: Good candidates are able to estimate the amount of time needed to complete a task, communicate this to client clearly and deliver it on time.
• Quick learning capability/Self-motivated: Good candidates have the ability to learn new technologies on their own.
• Good team player

Technical requirements:

• Preferred MS in statistics, biostatistics, epidemiology, computer science, or other quantitative analysis fields. 
• Demonstrated competence in the application of statistical techniques, such as hypothesis testing, regression analysis, machine learning, etc..
• Professional programming skills with SAS and SQL. R and/or Python programming experience is plus.
• Strong working knowledge of the Microsoft Office Suite (Word, PowerPoint, Excel).

About KMK consulting Inc

KMK Consulting brings together a range of functional competencies in marketing science, market research, forecasting and sales force effectiveness to provide our biopharma clients with fully integrated solutions that support their commercial success.