Scientific Account Manager

Danaher • Lexington, MA

3d • $85,000 - $105,000

About The Position

Are you a scientist or computational biologist with an interest in analyzing and interpreting NGS and multi omics datasets for cutting edge R&D projects? Does the idea of working in partnership with the world’s leading biopharma, agribusiness and industrial biotechnology companies to solve big data challenges sound exciting to you? If so, we would like to talk with you as we seek to grow our interdisciplinary scientific consulting and application support team in our East Coast Office.
The role is designed for an inquisitive scientist who has strong communication skills and a solid background in genomics. Creative problem solving and the ability to present complex issues in a simple and rational way are essential. As a member of the Genedata Selector team, you will work closely with our partners on a wide variety of innovative projects and collaborate with internal and external stakeholders to solve big data problems. You will provide expert scientific and technical support to customers, investigate customer workflows and IT infrastructures, design solutions, and manage projects to ensure that scientific and business requirements are met. You will also support our sales team with product expertise, scientific presentations, and software demonstrations.

Requirements

• PhD or MSc. in molecular biology, bioinformatics, or similar discipline
• 1+ years related business experience working in a biopharma, industrial biotech, agribusiness or related life sciences environment using standard bioinformatics tools and databases
• Proficient working in a UNIX environment and with using a scripting or programming language (e.g. Perl, Python, Java)
• Hands-on experience with NGS applications (RNA-seq, DNA-seq, etc.) and data processing (read alignment, quantification, quality assessment, etc.)
• Experience with statistical analysis and interpretation with NGS or other ‘omics datasets
• Must be able to work independently, while participating as part of a team
• Must be legally authorized to work for any employer in the U.S.

Nice To Haves

• Some familiarity with SQL and relational databases (e.g. Oracle) is a plus
• Highly motivated self-starter

Responsibilities

• Provide scientific consulting and professional services to support customer projects
• Troubleshoot scientific and technical support issues and capture user feedback and customer use cases
• Define NGS data analysis workflows, analyze datasets, and present the results
• Collaborate with scientific and IT partners to solve problems related to the analysis and management of genomics data
• Identify customer needs and map them to the capabilities of the Genedata Selector platform
• Learn about trends and novel approaches in biopharma R&D/manufacturing and contribute insights to the team. For example, up and coming genomics applications for cell and gene therapies
• Coordinate activities internally with the scientific consulting and professional services team, business account managers, and product management
• Present the product vision of Genedata Selector to prospects and customers
• Provide Internet-based and on-site product training sessions with customers
• Identify new business opportunities together with business account managers
• Define appropriate service projects with customers to fulfill unmet needs

Benefits

• Genedata offers an attractive Total Reward Package comprised of a competitive salary and attractive benefits in return for your contribution to our success.
• As an equal opportunity employer, Genedata proudly celebrates diversity and believes in an inclusive workplace.
• Genedata, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives.
• Whether it’s a health care program or paid time off, our programs contribute to life beyond the job.
• We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree