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Data Architect - Life Sciences Sector - Manager - Consulting - Location OPEN image - Rise Careers
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Data Architect - Life Sciences Sector - Manager - Consulting - Location OPEN - job 1 of 4

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.The exceptional EY experience. It's yours to build.EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.The opportunityOur 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.Your key responsibilitiesWe are searching for an experienced and dynamic Senior Clinical Trial Developer and Modeler to join our team. The successful candidate will be primarily responsible for conceptualizing, developing, and optimizing clinical trial designs and predictive models with our clients. You will help them streamline clinical trial processes, and ensure Clinical Research methods are efficient, cost-effective, and meet the highest standards of accuracy and validity.There is no such thing as a typical day. You will run multiple client engagement teams, work with a wide variety of clients to help them navigate the complex world of advanced analytics. We’ll look to you to provide our clients with a unique business perspective on how advanced analytics can transform and improve their entire organization — starting with the key business issues they face.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 USIdeally, 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.What we look forWe’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the analytics industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.FY25NATAIDWhat we offerWe offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124,300 to $227,900. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.• 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.EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.For those living in California, please click here for additional information.EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com
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What You Should Know About Data Architect - Life Sciences Sector - Manager - Consulting - Location OPEN, EY

As a Data Architect - Life Sciences Sector - Manager at EY, you’ll be stepping into a role that’s as unique as you are. Imagine a workplace where your creativity and expertise are not only welcomed but celebrated. At EY, we help our clients navigate the intricacies of advanced analytics by employing cutting-edge technologies and innovative methodologies. This position allows you to dive deep into the world of clinical trials, optimizing processes and ensuring that they meet the highest standards in efficiency and accuracy. Working collaboratively with diverse teams and engaging directly with clients, you will not only conceptualize and develop clinical trial designs but also utilize statistical modeling to solve complex problems that haven't been tackled before. It’s a dynamic environment, so no two days will be alike! You’ll be managing various client engagement teams while continuously building your knowledge across a broad range of projects. With opportunities to mentor junior consultants and foster innovative thinking, this is a perfect avenue for those looking to make a significant impact. Your proficiency in data architecture and life sciences research will be indispensable as you leverage analytics to improve organizational performance. If you're passionate about making a real difference in the life sciences sector while shaping your career, we’d love to have you join our team!

Frequently Asked Questions (FAQs) for Data Architect - Life Sciences Sector - Manager - Consulting - Location OPEN Role at EY
What are the primary responsibilities of a Data Architect - Life Sciences Sector - Manager at EY?

As a Data Architect - Life Sciences Sector - Manager at EY, your main responsibilities include conceptualizing and optimizing clinical trial designs, conducting statistical modeling, and collaborating with a diverse set of clients. You will run multiple client engagement teams while assessing the feasibility of clinical trials and ensuring compliance with regulatory standards.

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What qualifications do I need to apply for the Data Architect - Life Sciences Sector - Manager position at EY?

To qualify for the Data Architect - Life Sciences Sector - Manager position at EY, you should have at least a bachelor’s degree with five years of relevant experience or a graduate degree with approximately four years of experience. Additionally, expertise in Life Sciences Research and a strong background in statistical modeling are essential.

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What skills are essential for the Data Architect - Life Sciences Sector - Manager role at EY?

For the Data Architect - Life Sciences Sector - Manager role at EY, essential skills include strong analytical thinking, proficiency in statistical analysis software, and excellent communication abilities. You must also show competence in fostering client relationships and managing diverse teams effectively.

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What opportunities for career growth exist for a Data Architect - Life Sciences Sector - Manager at EY?

At EY, a Data Architect - Life Sciences Sector - Manager has ample opportunities for career growth. You will gain exposure to various projects, mentor junior consultants, and be at the forefront of innovative analytics solutions, positioning yourself for advancement within the firm.

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Is travel required for the Data Architect - Life Sciences Sector - Manager position at EY?

Yes, the Data Architect - Life Sciences Sector - Manager position at EY may require travel to meet client needs. Flexibility is important, and having a valid driver’s license is a prerequisite.

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Common Interview Questions for Data Architect - Life Sciences Sector - Manager - Consulting - Location OPEN
Can you describe your experience with clinical trial designs as a Data Architect?

In answering this question, emphasize your previous roles where you conceptualized or developed clinical trial protocols. Discuss specific methodologies you've applied and how your statistical modeling led to improved trial outcomes, showcasing your ability to impact research efficiency.

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How do you stay updated with the latest advancements in the life sciences and data analytics field?

To respond effectively, you might mention specific journals you read, conferences you attend, or online courses you take. Highlight your commitment to continuous learning and how it informs your work as a Data Architect - Life Sciences Sector - Manager.

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What strategies do you utilize to foster relationships with clients?

In your response, discuss your communication style and the importance of understanding client needs. Share specific examples where your approach to relationship building led to successful project outcomes, emphasizing how it fosters trust and collaboration.

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How do you approach statistical modeling for clinical trials?

You should showcase your analytical skills by detailing your systematic approach to statistical modeling. Discuss specific software tools you've used, the type of data you've worked with, and how your strategies have optimized clinical trial designs.

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What experience do you have with data visualization tools?

When answering this question, mention specific data visualization tools you've used, such as Power BI or Tableau. Provide examples of how you've utilized these tools to present complex data in a comprehensible manner to stakeholders.

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How would you manage multiple client engagement teams effectively?

To answer, discuss your organizational skills, leadership style, and how you prioritize tasks. Detail specific techniques you employ to ensure alignment among teams while maintaining high-quality service delivery.

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Describe a time when you had to solve a complex problem involving advanced analytics.

Share a real-world example that showcases your problem-solving skills. Highlight the complexity of the challenge, the analytics techniques you applied, and the outcome, emphasizing your role in driving the solution.

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What role do you think innovation plays in data architecture within life sciences?

Focus on the importance of innovative strategies for improving processes and overcoming challenges. Discuss how being proactive with new technologies can provide a competitive advantage and lead to better patient outcomes.

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Can you explain regulatory compliance in the context of clinical trials?

When discussing this, provide insights into the key regulations that impact clinical trials. Emphasize your understanding of compliance processes and how you ensure your trial designs align with industry standards.

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What do you find most challenging about being a Data Architect in the life sciences sector?

Reflect on the common challenges faced in this position such as managing vast amounts of data or ensuring compliance, and discuss how you have successfully navigated these challenges in your previous roles.

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Full-time, hybrid
DATE POSTED
December 1, 2024

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