Business Producer, New Business Development and Strategy for Pharmaceutical Companies

The role leads a business development function focused on creating new business impact for pharmaceutical companies through the use of medical big data. The person discusses opportunities with pharmaceutical clients, identifies their business issues and needs, proposes and develops data-driven solutions, and leads the company's positioning as a business partner in the pharmaceutical sector.

Responsibilities include formulating strategy and business plans for new businesses using medical big data; developing relationships with pharmaceutical company executives and departments such as marketing, sales, and R&D; hearing customer issues and identifying needs; planning, proposing, implementing, and evaluating solutions; planning new data products and services and proposing improvements to existing services; and taking responsibility for delivery through project management, progress control, and quality management of deliverables.

Example themes include early diagnosis support for potential patients using machine-learning models, visualizing patient journeys and deepening disease understanding through data, developing pharmaceutical businesses using group-company data and technology, supporting the creation of specialist organizations that maximize the use of real-world data within pharmaceutical companies, and planning the collection and use of new healthcare data through partnerships.

The required background is at least three years of practical experience at a financial institution such as a commercial bank, investment bank, or securities company, plus experience in at least one of the following areas: quantitative data analysis; company, industry, or market research; financial modeling and business valuation; or extracting insights from complex data and reporting them. Healthcare industry experience or knowledge is not required.

Preferred qualifications include experience proposing or executing new businesses or investment projects; practical knowledge or experience in statistical analysis or machine learning, including Python or R; experience covering the healthcare or pharmaceutical sector as an analyst; and experience analyzing large-scale, non-structured data such as real-world data. The position works with consultants, physicians, data scientists, engineers, and product managers and is expected to demonstrate leadership in team building and independently drive the launch and operation of new businesses.

The initial workplace is expected to be the Tokyo office in Minato-ku, Tokyo. The working arrangement is a flextime system with core hours from 11:00 to 15:00, a standard working time of eight hours per day, and a 60-minute break. The position is full-time. Benefits and systems stated in the posting include social insurance, a commuting allowance of up to 150,000 yen per month, a corporate defined-contribution pension plan, parental and nursing-care leave, condolence payments, and an employee stock ownership plan. The office is smoke-free in principle indoors, with a smoking room available.