Research Coordinator - Life Sciences

Research Research Coordinator - Life Sciences Job ID: 90707 Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. Who You'll Work With You will work as a Research Coordinator on a temporary basis (1-year contract) in Boston as part of our global Life Sciences and Client Capabilities Network. This is a hybrid role, with 2-3 days per week working in-person from McKinsey's Boston office. Colleagues in our global Client Capabilities Network (CCN)deliver distinctive client impact through assets and expertise and are driven by a culture of innovation. Within CCN you will be working with the Life Sciences (LS) practice, which has grown to be the second largest industry group in the firm. We have knowledge professionals in major hubs in Boston, New Jersey, London, Brussels, Poland, India, Japan, and China. In this role, you will have opportunities for high levels of interaction with consultants and the rest of the knowledge team. You will be the primary point of contact between many consultant teams and our global Life Sciences Intelligence team. We believe the Life Sciences team has exciting years ahead. We plan to expand our service offering to internal and external clients, to meaningfully develop and advance our portfolio of proprietary analytical and knowledge assets, and to play a bigger role in externalizing our knowledge and broadening our networks. Your impact within our firm You will provide responsive, high-quality assistance through research request handling and project support. You will be working with McKinsey colleagues to scope business questions and understand, disaggregate, and prioritize their information needs in client engagements. You will problem solve across various international, cross-functional knowledge & intelligence teams to determine the most appropriate solutions to key issues, effectively balancing quality, availability, timelines, and cost factors. You will leverage proprietary and third-party data and tools (analytical, industry-specific, and function-specific) to perform primary research and required analyses with the highest rigor. You will also perform analytical analyses on various third-party and proprietary data, leveraging a variety of analytical approaches and tools (e.g., Excel, R, Generative AI tools). You will then communicate insights and deliver end products to consulting teams in a variety of formats, including memos, PowerPoint presentations and tables. Your qualifications and skills University degree in business, economics, or a STEM related field Interest in conducting business research work in a dynamic environment Superb people skills and professional attitude Strong team orientation Possesses high quality standards, a commitment to completing tasks within deadlines, and the ability to work under pressure Attention to detail High level of proficiency with Microsoft Excel, Word, PowerPoint, and data manipulation Experience or interest in drafting clear, effective, and relevant prompts for Generative AI models Understanding of general business concepts and terminology Passion for, and some understanding of, the pharmaceutical and/or overall healthcare landscape, potentially including clinical experience Ability to multi-task in fast paced, deadline-driven environment Drive creatively to solve problems through intellectually challenging projects Excellent verbal and written communication skills Please review the additional requirements regarding essential job functions of McKinsey colleagues. Apply Now Apply Later FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $80,000 - $84,600 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance. Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites. Job Skill Group - N/A Job Skill Code - JCIA - Junior Capabilities and Insights Analyst Function - Industry - Life Sciences Post to LinkedIn - Yes Posted to LinkedIn Date - Wed Aug 28 00:00:00 GMT 2024 LinkedIn Posting City - Boston LinkedIn Posting State/Province - Massachusetts LinkedIn Posting Country - United States LinkedIn Job Title - Research Coordinator - Life Sciences LinkedIn Function - Analyst;Consulting;Research LinkedIn Industry - Management Consulting;Research LinkedIn Seniority Level - Entry level

Created: 2024-10-29