Job description
Who You'll Work With
You will work based out of the McKinsey Office in London. Within our Life Sciences practice, you’ll be part of our team’s global LS Intelligence team which consists of around 100+ professionals across analytics, knowledge, and capability and insights.
You would be involved in transforming drug discovery and development processes with data science, designing analytical and digital solutions through machine learning.
You will be central to our client development, client service, and knowledge management for the unit. You will work closely with the practice leadership to advance the strategic priorities of the practice. You will establish yourself as an indispensable member of the leadership team, offering valued judgments, oversight and insights on a wide range of practice issues.
What You'll Do
As part of the Life Sciences team, the key responsibilities are as follows:
Knowledge and capability creation - You will contribute to major knowledge and capability initiatives (e.g., development of new tools and vendor partnerships), often co-leading critical initiatives (e.g., scaling of current capabilities), managing and mentoring junior colleagues, developing external reputation building ideas and approaches (e.g., building a network of relationships with outside industry and academic experts), and assisting with the development of white papers and articles. It is envisioned that this would represent ~50% of the role.
Expert client service team and client development support - You will provide expert support to client service teams, particularly in the early stages of engagements as team members are getting up to speed on the IT-enablement issues and deploying our tools. You would also be an interface in some instances between the client service team and Life Science management. This should represent roughly ~40% of the role.
Service line facilitation - You will facilitate the ongoing development of knowledge and capabilities in service line areas, helping to shape and prioritize the knowledge agenda, develop training curriculum for new associates, overseeing knowledge management tools and systems, and facilitating regular meetings and calls with the relevant practitioners. This should represent ~10% of the role.
Qualifications
- Expertise in Drug Discovery and Development in Life Sciences
- Ability to design digital solutions with Advanced Analytics (Machine Learning, AI)
- Advanced degree in relevant field
- 7+ years of relevant experience
- Demonstrated track record of having built distinctive knowledge
- Passion for knowledge development
- Strong sense of entrepreneurship
- Familiarity with core Life Sciences approaches
- Relationship skills and the ability to deliver impact working through others
- Superior problem-solving, analytical, and quantitative skills
- Strong communication skills
- Strong project management skills
- Strong interpersonal skills, solid people development skills
- Tolerance for ambiguity
McKinsey & Company
www.quantumblack.com/careers
London, United Kingdom
Jeremy Palmer and Alex Singla
Unknown / Non-Applicable
201 to 500 Employees
Company - Private
Business Consulting
2009