Part two of our three part blog series where we highlight our employees around the world! For this blog post, we spoke with four employees based in the US, UK, and Germany about their past, present, and future experiences in the industry and at our company.
Each year around this time we release a new version of our software, and this year is no different. As I sit down to write about the v2019 updates to our Spectrus and Percepta Platforms, I find myself thinking about the culmination of customer feedback, the expertise of our worldwide team, the milestone of our 25th anniversary, and the meticulous planning needed to get here.
As a part of our 25th anniversary celebrations, we’ve written a three part blog series to spotlight our employees around the world, sharing what makes them a special asset to our ACD/Labs family. This first blog post is dedicated to team members based in our Canada headquarters!
As part of our 25th anniversary celebration this year we took the opportunity to bring all of the company together in Malaga (Spain) to work together and also spend some time socializing and getting to know one another better. See more in our photo blog!
At ACD/Labs we have assembled an extraordinary amount of experience in helping scientists and their organizations get maximum value from their analytical data. Not only by helping extract answers from data efficiently, but also enabling customers to store the knowledge gained in a scientifically intuitive manner with the context of the original experiment to maximize its value in future review and re-use. How is analytical data viewed in your organization, or are you scared to ask?
With the end of the year quickly approaching, what better time to reflect on the work that your team has accomplished this year and recognize the foundation that lends itself to this success—laboratory culture. As the holidays are a great time to boost employee morale and encourage team building activities, here’s how you can spread holiday, or as I’d like to call it, “chemical” cheer in the lab this year to foster scientific discovery year round.
Data integrity has become an industry buzzword, but do people really understand what it means? A recent survey we conducted with Chemistry & Engineering News (CE&N) showed that scientists think about data integrity differently. Read on to learn more about our survey and the results we found.
Analytical data plays a critical role in R&D by supporting critical decision-making on a daily basis. Whether a synthetic chemist is looking to see if their reaction yielded the product they expected, a group of scientists in development are building an impurity control strategy, or experts in manufacturing are collecting data for regulatory submissions, applications of analytical data are ubiquitous. At a time when the volume of insight-rich data one can gather is extraordinary, chemists working in academic research, industry, and non-profit organizations alike face regular challenges in managing and sharing their data.
Chemical R&D generates a deluge of instrumental analytical data on a daily basis. As critical R&D decisions and regulatory submissions are based on this data, the need for quality data management is more important than ever before. A lot has changed since the days when paper notebooks were the leading data management ‘platform’ among scientists. Advancements in research and instrument hardware continue to increase the amount of data we are able to produce and process. Sanji Bhal sits down with Graham McGibbon, director of strategic partnerships at ACD/Labs, to discuss his outlook on the industry and the pressing need for better management of analytical chemistry data in R&D.
Studying chemistry can open up many career paths since it can be applied in a variety of fields. In fact, an understanding of chemistry helps provide answers to almost every question about the world and helps makes us more informed consumers. To support students pursuing a career in chemistry, ACD/Labs recently collaborated with Pearson to help undergraduate students learn about the relationship between spectroscopic data and chemical structures.