Technical Sales Engineer

Overview

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Genedata, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact. You’ll thrive in a culture of belonging where you and your unique viewpoint matter. By harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life. The biopharmaceutical industry is undergoing a digitalization revolution, adopting data-driven R&D approaches to develop innovative therapies quicker.

Genedata’s market-leading enterprise software is fueling this revolution, enabling leading biopharma, biotech, and CRDMO companies worldwide to automate processes and leverage biopharma R&D data analytics. Join this digital transformation and help scientists around the world accelerate the pace of biopharma R&D. Learn about the Danaher Business System which makes everything possible.

Role Purpose

As a Technical Sales Engineer for Genedata Profiler, you will play a pivotal role in driving the success of our sales efforts by providing expert technical support and guidance throughout and beyond the sales process. Your primary purpose will be to bridge the gap between our innovative software solutions and the unique needs of our clients in the biopharma sector. You will collaborate closely with the sales, scientific, product and development teams to design tailored solutions, conduct pilots, facilitate onboarding, deliver compelling demos, and lead discovery sessions to ensure both our clients and sales achieve their goals.

We are particularly interested in candidates with strong technical or scientific backgrounds with advanced coding proficiency (Python/R) who are passionate about technical solutioning, presales engineering, and bridging between complex data science and client business needs.

Compensation

The salary range for this role is $95 000 to $127 000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay.

Role Responsibilities

• Provide technical expertise and support about the product throughout the sales cycle, including post-sales implementation.
• Conduct in-depth needs assessments and present customized solutions to customers.
• Demonstrate the capabilities and values of Genedata Profiler through presentations and product demos.
• Develop and maintain strong relationships with clients to ensure their ongoing satisfaction and success.
• Advise and collaborate with the sales, marketing, product and scientific teams to expand the market and shape the product roadmap.
• Stay up-to-date with industry trends and advancements in AI, data management solutions, and data analytics.

Knowledge, Skills And Experiences

• Degree in Computer Sciences, Data Science, or quantitative scientific field with a demonstrated understanding of software development principles applied to life sciences.
• Strong foundation in working with scientific, experimental, or computational data, ideally in a life sciences or biopharma context.
• Technical Expertise:
  • Proven experience in data engineering and analysis, particularly with pharmaceutical R&D data (experience with data products, data models is a plus).
  • Competent in programming languages such as Python or R.
  • Experience with setting up and maintaining ETL workflows, dashboard development, and big data analytics platforms.
  • Familiar with AI and advanced analytics for biopharma applications.
• Presentation and Communication
  
  Skills:
  
  
  • Expertise in Python or R is required, with ability to build custom scripts, prototype data workflows, and develop technical proof-of-concept during pre-sales cycles.
  • Solid experience working hands-on with scientific, R&D, or data-driven problems in biotechnology, pharmaceutical research, or scientific software environments – experience in CMC is a plus.
  • Background in roles such as sales engineer, data scientist, bioinformatician, application scientist, or…