Data science chemistry jobs
The successful candidate will support numerous research and development, and test and evaluation projects related to defense, forensics, and national security. The candidate must be motivated to contribute in a team environment, collaborate across multiple scientific and technical disciplines, and be excited to develop new skills. The candidate must have the flexibility to balance multiple on-going tasks while operating efficiently with minimal supervision. As needed, the candidate should be able to direct others to accomplish project tasks.
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Assistant Professor, 9 Month Salaried (Data Driven Chemistry and Biochemistry )
Log in Get free job alerts. Get free job alerts. Data Scientist, Innovation in Analytical Chemistry. Job Company. Job Description Key Responsibilities: Lead or contribute to multidisciplinary and multi divisional flavor and fragrance-related research projects through management and advanced processing of new and existing data.
Represent the global analytical chemistry team within a community of data scientists. Maintain awareness of relevant state-of-the-art technologies and knowledge relevant to data science and analytical chemistry. Identify opportunities to improve and automate procedures, protocols and systems. Participate in data interpretation and information sharing with the global analytical chemistry teams. Develop data science pipelines and prototype analysis tools. Apply programming capabilities and advanced chemometric techniques to analysis and interpretation of large data sets.
Communicate results internally and externally via meetings, presentations, conferences, peer-reviewed publications and patents. Provide training to colleagues to allow them to discuss knowledgably with data scientists, communicate needs and understand possibilities Requirements: Advanced degree in data science, or related discipline, with strong foundation in chemistry and demonstrated understanding of analytical chemistry.
Demonstrated expertise in statistics, data science and coding. Track record of independently leading and delivering complex projects with demonstrated success in interdisciplinary projects. Must be a strong team player, self-motivated, a strong communicator, and detail oriented.
Leadership skills with a capability to inspire colleagues. We value: Enthusiastic, well-organized collaborators who enjoy working with experts in other scientific fields Individuals who are driven to learn and share The motivation and ability to develop digital solutions for complex technical problems We offer: The opportunity to be a part of a highly creative, diverse and imaginative team in a company which values digitalization. A fast-paced environment surrounded by some of the biggest talents and brands in the flavors, beauty and fragrance industries.
An opportunity to conduct research that both tackles fundamental scientific questions and has direct business impact. START company match. Sign up new jobs posted daily. This job was posted on Wed Dec 08 and expired on Tue Dec 14 Tasks Analyze and interpret statistical data to identify significant differences in relationships among sources of information. Identify relationships and trends in data, as well as any factors that could affect the results of research.
Determine whether statistical methods are appropriate, based on user needs or research questions of interest. Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data. Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students. Report results of statistical analyses, including information in the form of graphs, charts, and tables.
Design research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses. Process large amounts of data for statistical modeling and graphic analysis, using computers. Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
Report results of statistical analyses in peer-reviewed papers and technical manuals. Evaluate sources of information to determine any limitations, in terms of reliability or usability. Develop and test experimental designs, sampling techniques, and analytical methods. Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used.
Supervise and provide instructions for workers collecting and tabulating data. Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
Prepare and structure data warehouses for storing data. Develop software applications or programming to use for statistical modeling and graphic analysis. Apply sampling techniques or use complete enumeration bases to determine and define groups to be surveyed. Skills Reading Comprehension - Understanding written sentences and paragraphs in work related documents. Active Listening - Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
Writing - Communicating effectively in writing as appropriate for the needs of the audience. Speaking - Talking to others to convey information effectively. Mathematics - Using mathematics to solve problems. Science - Using scientific rules and methods to solve problems. Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. Active Learning - Understanding the implications of new information for both current and future problem-solving and decision-making.
Complex Problem Solving - Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions. Judgment and Decision Making - Considering the relative costs and benefits of potential actions to choose the most appropriate one. Knowledge Computers and Electronics - Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.
Mathematics - Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications. English Language - Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar. HexaCorp Type Company - Private. Website Visit Website. Total job postings in the past Based on job boards, duplications excluded. Job category Distribution 6 months 1 year IT Show More.
Job Title: Sr. Net Developer Preferred Skill:. Show more jobs. Similar jobs.
What can I do with my chemistry degree?
Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data , [1] [2] and apply knowledge and actionable insights from data across a broad range of application domains. Data science is related to data mining , machine learning and big data. Data science is a "concept to unify statistics , data analysis , informatics , and their related methods" in order to "understand and analyze actual phenomena" with data. However, data science is different from computer science and information science. Turing Award winner Jim Gray imagined data science as a "fourth paradigm" of science empirical , theoretical , computational , and now data-driven and asserted that "everything about science is changing because of the impact of information technology " and the data deluge. A data scientist is someone who creates programming code, and combines it with statistical knowledge to create insights from data.
Jobs & Careers
Skip to main content. Open to new ideas. Since The University of Vienna is a research university with high international visibility and a wide range of degree programmes. We are committed to basic research that is open to applications and to research-led teaching, as well as to the dialogue with economy and society. The appointment of particularly qualified researchers to university professors is an important strategy of the University of Vienna. Become part of this vibrant and future-oriented organisation.
Postdoc in Data Science (R/Python/...)
We have compiled a list of data science and analytics jobs that opened last week. The list consists of jobs from startups to larger companies across cities such as Bangalore, Chennai, Hyderabad, Pune and more. This is a cumulative list of jobs from various online job portals and are sorted according to the years of experience required. Apply here. Skills Required: Data models, database design development, data mining , reporting packages Business Objects, etc.
Data Scientist
Skip to main content. All applications need to include a CV, a motivation letter and a certificate of your PhD. Our preferred start date for this fellowship is 1st February , but please clearly indicate your availability on your motivation letter. At Roche, over , people across countries are pushing back the frontiers of healthcare. To innovate healthcare, Roche has ambitious plans to keep learning and growing — and is seeking people who have the same goals for themselves.
cheminformatics data scientist jobs
Find available jobs in Computational Chemistry. Receive job alerts that match your preferences. Granutools is currently looking for a Particle Scientist with a passion for Science and Technology to work closely with customers on applications of the instruments developed by Granutools. The Hector Fellow Academy offers you the opportunity to realize a self-developed research project under supervision Prof. Patrick Cramer. He is one of the Hector Fellows, a community of outstanding professors from different research institutions a Launched in , WKU
Together, we can Defeat Degeneration
Data connects the world we live in and its people, which makes it key to innovative solutions. Then join Data Science at Bayer today! At Bayer, generating and analyzing data, then turning it into insights is more than daily business — it can change the lives of individuals.
SCM is a growing and profitable scientific software company in Amsterdam, developing and marketing software in computational quantum chemistry and materials science for over 25 years. We have grown quite rapidly to around 20 developers over the last few years. To enhance our physics-based modeling with data-based modeling, we now create a job opening with intention of permanent employment for a scientific software developer with Machine Learning ML expertise. Together with our current mathematics and Machine Learning developers, you will work on developing new functionality where state-of-the-art ML techniques are applied to problems in computational chemistry.
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help. We help build better lives. Together with our customers, partners and the gl.
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