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Eurofins Lancaster Laboratories Professional Scientific Services, Laboratory Automation and Programming Specialist in Kalamazoo, Michigan

Company Description Are you looking for an exciting opportunity, a rewarding, enriching, and fulfilling career, and the opportunity to grow to greater levels of success with a company that values you? Then look no further! Join Eurofins PSS: a world class company that is growing by leaps and bounds while making a difference to humanity. At Eurofins PSS, you will gain experience working in state-of-the-art laboratories, and be a part of a team that is dedicated to testing, development, and advancement of life-saving drug products to make the world a healthier and happier place to live in. Our people are our chemistry and we need talented people like you now more than ever. Eurofins PSS is an international life sciences company, providing a unique range of analytical testing services to clients making life and our environment safer, healthier and more sustainable. Eurofins PSS works with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate. Why Eurofins? * A focus on your professional development because your growth is our growth * A chance to step in to the pharmaceutical/biopharmaceutical industry and move up the ladder of success to help you achieve your career goals * Healthy work/life balance, an essential need for employee satisfaction * Excellent benefits such as tuition reimbursement, mentoring and leadership programs, 401k, medical/vision/dental insurance, PTO, and much more! * Opportunity for involvement in several innovative committees surrounding sustainability, equality, development, and much more! Job Description * Working closely with scientists to discuss and understand their work for business analysis purposes; help them to design data collection, analysis, and visualization approaches especially with understanding of potential artifacts and consumption of data by other groups. * Sample handling including small and large molecule compounds and mAbs/proteins (preparation, dilution, transfer, plating), biospecimens (preparation, dilution, transfer, plating of plasma, serum, urine, etc.), and nucleic acids (DNA/RNA extraction, aliquoting, and storage) * Basic programming and use of automation equipment (Hamilton Liquid Handling Systems, Agilent Bravo, Scinomix Tube Labeler, Hamilton TekCel, Agilent BioCel, etc.) * Working knowledge of MS Excel, Visual Studio, R, Python, JSON, and/or SQL/relational databases for data management and analysis * Thinking independently and innovating within one's own project while efficiently collaborating with other team members * Working with partner lines to define and develop solutions for data ingestion, prepping, blending and visualization across various data sources. Qualifications The ideal candidate would possess: * Strong computer, scientific, and organizational skills * Excellent communication (oral and written), and attention to detail * Ability to effectively manage time and prioritize multiple tasks * Ability to work independently and as part of a team and be self-motivated, adaptable, and a possess a positive attitude * Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies * Ability to lift up to 25 lbs regularly * Work in a BSL-2 environment Basic Minimum Qualifications: * Bachelor's degree in biology, cell biology, biochemistry, chemistry, computer-science or other related degree concentration, orequivalent directly-related experience (two years of directly-related industry experience is equivalent to one full-time year of college in related major) * Experience with sample handling including small and large molecule compounds and mAbs/proteins (preparation, dilution, transfer, plating), biospecimens (preparation, dilution, transfer, plating of plasma, serum, urine, etc.), and nucleic acids (DNA/RNA extraction, aliquoting, and storage) * Computer skills preferred: R and/or Python, JSON, Spo

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