Kimberly-Clark is leading the world in essentials for a better life. Headquartered in Dallas, Texas, with nearly 57,000 employees worldwide and operations in 36 countries, Kimberly-Clark posted sales of $20.8 billion in 2011. Kimberly-Clark’s global brands are sold in more than 175 countries. Every day, 1.3 billion people trust Kimberly-Clark products and the solutions they provide to make their lives better. With well-known family care and personal care brands such as Kleenex, Scott, Andrex, Huggies, Pull-Ups, Kotex, Poise and Depend, we hold the No. 1 or No. 2 share position globally in more than 80 countries.
As a global company, we are committed to cultivating a fair, respectful and engaging work environment that inspires our diverse global team to thrive professionally and contribute to the communities where we operate. We also have a responsibility to attain a deeper understanding of our impact on the world. Addressing Sustainability issues and incorporating solutions through all levels of Kimberly-Clark is a critical component of our business.
The incumbent will report to a Life Science Manager in Kimberly-Clark’s Corporate Research and Engineering organization and work closely with fellow scientists, statisticians, IT personnel, and other subject matter experts working on fundamental human epithelial research. The successful candidate will aid in the management and analysis of existing or de novo large-scale biological data sets to identify, develop, and recommend novel technology options for existing and/or new products related to skin, vaginal, and wound care. Accordingly, this individual will leverage existing and emerging bioinformatic techniques to resolve key technical challenges and help to establish research projects within broadly defined objectives. The position will be located at our Research & Engineering facility in Neenah, WI.
• Contribute as a team member on large projects and/or lead smaller biological research programs in our Corporate Research & Engineering’s Life Science organization.
• Collaborate with technical and business leaders, internal and/or external subject matter experts, to conduct basic and applied research that delivers against technical objectives.
• Process and analyze biological large-scale data sets (genomic, proteomic, and metabolomic). This task will include data quality assessment, conducting analyses, interpreting findings, and communicating findings with other scientists in meaningful formats. It may also include algorithm development for specialized cases.
• Archive data and findings in appropriate format(s), and recommend next steps.
• Contribute to the experimental design of de novo research.
• Identify and recommend emerging opportunities in bioinformatics to grow internal capabilities.
• Assist in developing bioinformatics capabilities/competency in the organization.
• Protect and promote technologies and products through appropriate use of patents, internal and external publications, conference presentations, and trade secrets.
• Maintain laboratory records sufficient to document findings, procure intellectual property for discoveries, and maintain compliance with regulatory requirements.
• Recent Ph.D. in Bioinformatics, Computational Biology, Biostatistics and/or related field or, alternately, a Master’s Degree in the same with 2 – 5 years of relevant industrial and/or academic research experience.
• Solid functional understanding of the scientific process, molecular biological research and biostatistics.
• History of successful collaboration with diverse research entities for the design and analysis of in vitro and in vivo studies.
• Fluency in English and excellent oral and written communication skills, readily accessible to diverse technical and/or non-technical audiences, a history of meaningful conference/society presentations, seminars, and/or posters.
• Excellent written communications skills as demonstrated by meaningful peer-reviewed research publications.
• Ability to work effectively in in a multi-platform environment, including WINDOWS.
• Able to effectively identify, annotate, and format biological datasets and to assess data quality.
• Fluent in one or more scripting language for file management and data formatting
• Fluent in one or more high level programing languages for application development (e.g. C#, C++, Java).
• Fluent in R or other statistical programming language(s).
• Familiar with emerging and evolving software platforms relevant to bioinformatics and computational biology.
• Proven record of delivering results through collaboration with multi-disciplinary, cross-functional teams.
• Evidence of coaching and mentoring other scientists in area(s) of expertise.
• Travel up to 25% (domestic and international).
• Experience working in a corporate R&D setting.
• Data visualization skills that enable complex findings to be presented in meaningful formats readily understood by others.
• Project management experience.
• Language skills beyond English (such as, for example, Spanish, Mandarin, Korean) are highly valued.
Kimberly-Clark - 19 months ago
Kimberly-Clark engages in worldwide manufacturing and marketing of a wide range of products for personal, business and industrial uses....