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Associate Director, Biopharma Insights
$160,000 - $180,000
Are you mission driven and want to work for a market leading biotech company who specialize in improving the lives of those who need advanced care? If you have a strong consultative mindset and can work with diverse stakeholders within the biotech, biopharma or diagnostics realm to deliver key insights and recommendations on how customer needs change or evolve, and how that impacts business strategy then this could be the next step in your career.
As the Associate Director, Biopharma Insights, you will be a core part of a growing commercial analytics and strategy team, leading, managing and developing a small team of Research Insights Analysts, focusing on both qual and quant research studies to meet and exceed customer needs across a large product portfolio, setting the strategy for long term business goals. You will:
YOUR SKILLS AND EXPERIENCE:
As an Associate Director, Biopharma Insights, you can expect to earn up to $180,000 (depending on experience), plus competitive benefits.
HOW TO APPLY:
Please register your interest by sending your resume to Jenni Kavanagh via the Apply link on this page
Biotech, Life Sciences, Healthcare, Pharma, Biopharma, Oncology, Medical Devices, Syndicated, Primary Research, Secondary Research, SQL, R, Health, Claims, Strategy, Client facing, Recommendations, Product, Customer Engagement, Consultancy, Statistical Analytics, Conjoint, Survey Design, Market Research Competitor Analysis, Interviews, Market Analysis, Growth, Product Portfolio, SPSS, Excel
£70000 - £75000 per annum
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With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics. Computer Weekly: Microsoft outlines five-year plan for accessibility tech 1 in 5 employers have stated that they would be less likely to hire someone if they were disabled. A damning and worrying statistic highlighting the severe disability divide that still exists in the working world. In a bid to help put a stop to this serious lack of inclusion, Microsoft have teamed up with the Department for Work and Pensions (DWP) to train up to 26,000 members of staff and work coaches to help them create a more accessible recruitment and working experiences for those with disabilities. The three key areas of focus for Microsoft include: Educating workers to have a better understanding of accessibility.Showing how applied sciences can be used to create opportunities for all.Dedicating its cause to constructing inclusive office environments, whether on or offline. Brilliantly summed up by Brad Smith, Microsoft President: “Our work begins by guaranteeing that Microsoft’s personal merchandise are accessible by design, in order that as we advance our options and performance, we can assist everybody throughout the spectrum of incapacity be extra productive.” Read more on this fantastic story here. Analytics India Mag: Why Data Engineering is the fastest growing tech job in 2021 As a result of COVID-19, businesses have had to work hard to not only navigate the ‘new normal’ but thrive in it. Remaining relevant and staying one step ahead of the competition has been, and will continue to be, crucial – and for this reason alone, Data Engineering is undoubtedly going to the fastest growing sector this year and perhaps beyond. During this year’s SkillUp event, Sourav Saha, academic dean at Praxis Business School, and Prasad Srinivasa, assistant vice president at Genpact, spoke about the exciting career opportunities in data engineering. In a world driven by data, it is crucial that companies are using the data they have available to drive the success of their business. From being able to forecast future trends to gather consumer sentiment, data, and data engineers, will undoubtedly drive business success. Srinivasa highlights the three key roles he is expecting to emerge and boom over the next 6 – 12 months: Data OrchestrationData Architecture and Governance Data Strategy To read more on what to expect for the future of Data Engineers, click here. Silicon Republic: How to ensure your Life Science career thrives after COVID Life Sciences became the saviour of the COVID-19 pandemic. Those within the sector worked tirelessly to create and deliver vaccines around the world, giving us all the hope we needed to get to the end of this crisis. However, once we finally see the back of the COVID-19 pandemic, many Life Science specialists beg the question – what next? How do we continue to thrive in our careers and any future prospects post-pandemic? This insightful article from Silicon Republic highlights five key steps to ensure specialists can be prepared to take the next steps in their working journey once the dust has settled. 1. Take control and be proactive Before you do anything else, take proactive steps to look at the opportunities your current employer might be able to present you. Don’t be afraid to put yourself forward. 2. Look for innovation As the whole world adapts to the new normal, it’s more than likely your company is going to innovate to stay one step ahead of the competition. Explore where this innovation is likely to happen and put ideas forward to spearhead change. 3. Upskill across the board From those harder skills, such as technical knowledge, to softer skills, such as communication and empathy, will all need to be revisited and boosted as we come out of the pandemic. Make sure you take your learning into your own hands and show initiative. 4. Reflect on your career options If you’re ready to make the move away from where you are, make sure you’ve got a clear idea of what it is you want next before taking the leap. Tailor your CV, brush up on your knowledge and don’t be afraid to engage with a recruiter if you need guidance. 5. Learn how to present well in remote interviews Computer to computer isn’t the same as face-to-face. Get up to speed with online etiquette and make the best first impression. Read the full article here. TechBullion: 3 sectors revolutionised by AI The pandemic has accelerated many businesses uptake and implementation of AI. But which sectors have we seen reap the most reward from this fantastic technology? TechBullion explores. Insurance: Insurance firms have seen AI boost customer satisfaction like never before. Whether that’s through faster processing of claims, a reduction in fraud or improving loss prevention, AI has been making the sector smoother and more efficient. Entertainment: The likes of Netflix and Spotify have taken AI and used it to transforms how they service consumers. With many users wanting a service that provides a seamless, efficient, and relevant experience, entertainment platforms have been able to create software that can learn personal preferences and offer timely suggestions based on users evolving needs and wants. Education: The use of AI within education has become vast. From making every day learning easier through AI-based games that can be tailored to all learning types and needs to the personalisation of students’ curriculum depending on the results of past tests – the abilities are endless. To read more on this, visit TechBullion here. We've loved seeing all the news from Data & Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at firstname.lastname@example.org.
30. April 2021
Last month we sat down with Kevin Tran, a Senior Data Scientist at Stanford University, to chat about Data Science trends, improvements in the industry, and his top tips for success in the market. As one of LinkedIn’s Top Voices of 2019 within Data & Analytics. his thoughts on the industry regularly garner hundreds of responses, with debates and discussions bubbling up in the comments from colleagues eager to offer their input. This online reputation has allowed him to make a name for himself, building out his own little corner of the internet with his expertise. But for Tran, it’s never been about popularity. “It’s not about the numbers,” he says without hesitation. “I don’t care about posting things just to see the number of likes go up.” His goal is always connection, to speak with others and learn from them while teaching from his own background. He’s got plenty of stories from his own experiences. For him, sharing is a powerful way to lead others down a path he himself is still discovering. When asked about the most important lesson he’s learned in the industry, he says it all boils down to staying open to new ideas. “You have to continue to learn, and you have to learn how to learn. If you stop learning, you’ll become obsolete pretty soon, particularly in Data Science. These technologies are evolving every day. Syntax changes, model frameworks change, and you have to constantly keep yourself updated.” He believes that one of the best ways to do that is through open discussion. His process is to share in order to help others. When he has a realisation, he wants to set it in front of others to pass along what he’s learned; he wants to see how others react to the same problem, if they agree or see a different angle. It’s vital to consider what you needed to know at that stage. Additionally, this exchange of ideas allows Tran to learn from how others tackle the same problems, as well as get a glimpse into other challenges he may have not yet encountered. “When I mentor people, I’m still learning, myself,” Tran confesses. “There’s so much out there to learn, you can’t know it all. Data Science is so broad." At the end of the day, it all comes down to helping each other and bringing humanity back to the forefront. In fact, this was his biggest advice for both how to improve the industry and how to succeed in it. It’s a point he comes back to with some regularity in his writing. “It doesn’t matter how smart you are, stay humble and respect everyone,” one post reads. “Everyone can teach you something you don’t know.” Treating people well, understanding their needs, and consciously working to see them as people instead of numbers or titles—this, Tran argues, is how you succeed in the business. To learn and grow, you must work with people, especially people with different skills and mindsets. Navigating your career is not all technical, even in the world of Data. “The thing that cannot be automated is having a heart,” he tells me sagely. Beyond this, Tran stresses the need for a solid foundation. The one thing you can’t afford to do is take shortcuts. You have to learn the practicalities and how to apply them, but to be strong in theory as well. Understanding what is happening underneath the code will keep you moving forward. He compares knowing the tools to learning math with a calculator. “If you take the calculator away, you still need to be able to do the work. You need the underlying skills too, so that when you’re in a situation without the calculator, you can still provide solutions.” By constantly striving to collaborate and improve, Tran believes the Data industry has the best chance of innovating successfully. If you’re looking for a new challenge in an innovative and collaborative environment, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.
19. March 2020