EY Data Architect - Life Sciences Sector 

United States, New York, New York 

889405674

Our Data and Analytics team helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of that, you’ll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems (some that have not been solved before). No two days will be the same, and, with constant research and development, you’ll find yourself building knowledge that can be applied across a wide range of projects now and in the future. This is a high-growth area with plenty of opportunities to enhance your skill set and build your career.

Skills and attributes for success

• Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget.
• Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes.
• Managing expectations of client service delivery.
• Staying abreast of current business and industry trends relevant to the client's business.
• Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.
• Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counselling and mentoring of junior consultants within the organization.
• Developing and maintaining long-term client relationships and networks.
• Partnering with information architecture to build logical/canonical and physical data models aligned with conceptual data models
• Develop, organize, and manage clinical trial protocols, including study design, selection criteria, and protocol writing.
• Perform statistical modeling and simulation to optimize clinical trial designs.
• Implement advanced statistical methods to analyze, interpret, and visualize complex clinical data.
• Collaborate with clinical and research leaders to understand data needs and apply appropriate methodologies.
• Assess the feasibility of proposed clinical trials based on statistical modeling.
• Apply innovative strategies to manage missing data, model selection, and validation.
• Provide statistical expertise and guidance to clinical teams and stakeholders.
• Ensure all clinical trial activities comply with regulatory standards.
• Prepare comprehensive reports of clinical trial results, and present findings to stakeholders.
• Keep abreast of new trends and advancements in the field of clinical trials and statistical modeling.

To qualify for the role you must have

• A bachelor's degree and approximately five years of related work experience; or a graduate degree in the same and approximately four years of related work experience.
• Deep knowledge of Life Sciences Research and Early Discovery(R&ED) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab – Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas
• Strong Life Sciences R&ED Data Information Architecture Development – Functional and Technical experience
• Proven experience as Clinical Trial Developer researcher or a relevant role, preferably in a senior position.
• Proficiency in statistical modeling and clinical trial design.
• Experience with statistical analysis software (SAS, R, Python, etc.).
• Excellent understanding of clinical trial regulatory and submission processes.
• Familiarity with clinical trial data management systems.
• Strong analytical thinking and problem-solving skills.
• Excellent written and verbal communication skills.
• Knowledge of industry standards like CDISC SDTM, ADaM, and Define-XML.
• Ability to work both independently and as part of a team.
• A minimum of four years’ experience providing consulting services with a strategic focus in helping clients achieve transformational value by improving performance through the use of data and analytics solutions.
• A willingness to travel to meet client needs. A valid driver’s license in the US

Ideally, you’ll also have

• Master's or PhD in Biostatistics, Statistics, Mathematics, or a related field.
• Experience with big data platforms and cloud (Snowflake, AWS, Azure, etc)
• Experience with data and systems architecture (APIs, messaging, etc.)
• Experience with master data management and data governance
• Experience with data visualization tools such as Power BI and Tableau.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.