Do you want to harness your love of science in the wider business world? Then join the Intelligence Division at Hanson Wade.
Hanson Wade Intelligence provides custom market research and scientific consultancy, transforming data into insights allowing our clients to make more informed and better strategic decision, decreasing risk and increasing the chances of success.
Specialising in identifying the niche information needs for rapidly innovating fields in the life sciences, you will have the opportunity to work on bespoke projects that help biopharma clients develop innovative products, form partnerships, access new markets and refine their strategic decision-making.
About the role:
As a Junior Market Analyst, you will be responsible for the execution of bespoke qualitative and quantitative primary and secondary market research projects. Tasks include:
- Project management: Day-to-day project management to ensure logistics run smoothly
- Recruitment: Identification and recruitment of suitable participants for interviews
- Moderation: Moderation of interviews
- Data analysis: Collecting and curating data into specific format, conducting quality control checks and interpretation
- Presentation: Preparation of insights for delivery to client
You will also be expected to support senior team with
business development opportunities and create
marketing collateral.
About you:
- Has a passion for life science industry and advancing scientific discovery
- A clear interest in data analysis and uncovering insights; a curious mind
- The ability to think strategically about implications for client’s business challenges
- Interest in understanding drivers of behaviour
- The ability to deliver premium quality service and being accountable for success
- A friendly, empathetic, reliable, agile, hard-working and proactive approach to working in a team
- A drive for self-improvement to gain new skills and recover from setbacks
Education and experience:
- At least a B.Sc. in a life science subject with a strong academic record: A masters with distinction or PhD degree is preferred
- Prior market research experience not required
Why Choose Us?:
- We offer well-being bonuses such as a personal learning budget, mindfulness sessions in the office, employee assistance programme and well-being champions
- Private health and life insurance
- Hybrid working arrangement – 1 day a week in the office in London Victoria
- A range of different social clubs such as, book club, five-a-side, parents support network, chess club and more…
- 1 extra day of annual leave each year, up to 30 days of annual leave (not including public holidays)
- Access to our Wader Hub benefits platform which include, retail, gym, hospitality, and wellness discounts
- Volunteer day (we offer all our employees the chance to take a day on us to get out there and do some good!)
- Monthly awards and social events (we’re talking sports days, karaoke nights, theatre trips, cooking courses, you name it!)
- Sabbatical options after 2 and 5 years
- Opportunities for professional education sponsorship
- Access to individual career coaching to develop your career from day one
- We offer well-being bonuses such as a personal learning budget, mindfulness sessions in the office, employee assistance programme and well-being champions
Salary: £28,0000 + bonus
Please note: we cannot provide visa sponsorship for this role.
Please be aware of scams!
We have been made aware that individuals are falsely representing themselves as recruiters from Hanson Wade Group to deceive job seekers. These scammers may use false adverts, contact you via email, WhatsApp, or other messaging platforms, offering fake job opportunities and requesting personal information or payments.
Please be advised that:
- All legitimate communications from Hanson Wade Group will come from our official email addresses ending in @hansonwade.com.
- We will never ask for payment or personal financial information during the recruitment process.
- Be cautious of unsolicited job offers, especially those requesting money or personal details.