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PwC Clinical R&D Analytics Senior Associate in New York, New York

Specialty/Competency: Operations

Industry/Sector: Pharma and Life Sciences

Time Type: Full time

Government Clearance Required: No

Available for Work Sponsorship: Yes

Travel Requirements: Up to 80%

A career in our Clinical Transformation practice, will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. You’ll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Our team helps organisations define paths to more profitable growth, from core product development to radical business innovation. As part of the team, you’ll help our clients develop new innovative businesses, products and services as well as build lasting internal capabilities, ranging from Innovation Incubators to global research and development centres to product lifecycle systems, that enable sustained, consistent results.

o really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Use feedback and reflection to develop self awareness, personal strengths and address development areas.

  • Delegate to others to provide stretch opportunities, coaching them to deliver results.

  • Demonstrate critical thinking and the ability to bring order to unstructured problems.

  • Use a broad range of tools and techniques to extract insights from current industry or sector trends.

  • Review your work and that of others for quality, accuracy and relevance.

  • Know how and when to use tools available for a given situation and can explain the reasons for this choice.

  • Seek and embrace opportunities which give exposure to different situations, environments and perspectives.

  • Use straightforward communication, in a structured way, when influencing and connecting with others.

  • Able to read situations and modify behavior to build quality relationships.

  • Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences :

Basic Qualifications :

Minimum Degree Required :

Bachelor Degree

Minimum Years of Experience :

3 year(s)

Preferred Qualifications :

Degree Preferred :

Master Degree

Preferred Fields of Study :

Statistics, Data Processing/Analytics/Science, Statistics, Artificial Intelligence and Robotics

Preferred Knowledge/Skills :

Demonstrates thorough abilities and/or a proven record of success conducting data and analytics projects including:

  • Proficient coding and development of predictive modeling, machine learning and AI applications using for R, Python and AWS or Azure native ML tools;

  • Working knowledge of linear and nonlinear regression, random forests, GBM, survival analysis, clustering, neural network models;

  • Having the ability to design and develop user friendly, interactive data and model result visualizations in R or R/Shiny, Python visualization packages, Tableau, Spotfire, PowerBI or other similar tools;

  • Preparing, conforming and analyzing large and complex datasets with preference for experience with clinical trial clinical, operational and quality data, omics data, RWE data (e.g., claims, EMRs); and,

  • Understanding proficient derivation, summarization (in presentations or reports) and presentation of insights from analyses and models to non-analytics consumers; and,

  • Having the ability to guide the work of and review code, analysis and visualizations created by more junior team members and provide actionable improvement recommendations.

Demonstrates thorough abilities and/or a proven record of success in Pharmaceutical and Life Sciences, preferably obtained through one or more of the following:

  • Academic coursework or academic scientific research;

  • Direct work in the industry defined as one or more of the following: Pharmaceuticals, biopharmaceuticals, biotechnology, generic drugs, medical device, instrumentation, diagnostic companies); Contract service organizations to the industry (e.g. CRO); Regulatory health authorities / agencies overseeing the industry (e.g. FDA); Non-profit organizations supporting life sciences scientific advancement; Government agencies supporting life sciences scientific advancement (e.g. NSF, CDC) Analyst / research / benchmarking companies covering the industry (e.g. CMR/KMR); and/or,

  • Consulting companies that deliver services/solutions to the industry as defined above.

Demonstrates thorough abilities and/or a proven record of success as a team leader and member on project engagements and project teams, including the following areas:

  • Understanding personal and team roles and contributing to a positive work environment by building relationships with team members; proactively seeking guidance, clarification and feedback and providing guidance and feedback to more junior team members;

  • Identifying and addressing client needs in a timely manner and building relationships with them; delivering clear requests for information to inform the conduct of analysis or model development; demonstrating flexibility in prioritizing and completing multiple competing tasks, and communicating potential conflicts to a supervisor; and,

  • Researching and analyzing pertinent client, industry, and technical matters; utilizing problem-solving skills; and, communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

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