Cheminformatics Scientist at Cytiva
Vancouver, BC V6P 6T7, Canada -
Full Time


Start Date

Immediate

Expiry Date

26 Sep, 25

Salary

110000.0

Posted On

27 Jun, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Cloud Computing, Availability, It, Aws, Python, Technology, Azure, Commission, R

Industry

Information Technology/IT

Description

BRING MORE TO LIFE.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Cytiva, 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. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.
Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.
At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.
Learn about the Danaher Business System which makes everything possible.
The NANM Cheminformatics Scientist is responsible for developing and running a high throughput screening and data analytics tool. The scientist will have experience with wetlab assays, analytical processes, data processing and analytics, and machine learning.
This position reports to the Director of Engineering and is part of the Nucleic Acids and Nanomedicine Business Unit located in Vancouver, B.C. and will be an on-site role.

IT WOULD BE A PLUS IF YOU ALSO POSSESS PREVIOUS EXPERIENCE IN:

  • Experience with statistical data analysis tools (such as R, Python), cloud computing (such as AWS, Azure), AI/ML dev platforms (such as Snowflakes, DataBricks, Sagemaker) and data visualization app development (such as R Shiny or Shiny for Python)
  • Structured root cause analysis
  • Biological or Bioanalytical background
    Cytiva, 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. Check out our benefits at Danaher Benefits Info.
    The salary range for this role is $110k-140k CAD. 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.
    We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and RPP contributions to eligible employees.
    Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. #LI-SL21
    Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
    For more information, visit www.danaher.com.
Responsibilities
  • Create an mRNA drug delivery development platform that supports complex in-vivo and gene editing applications
  • Work with the team to develop an application specific data management and processing system
  • Analyze data and make recommendations using statistical methods, machine learning and where applicable, an appropriate form of AI
  • Work with an automation team to constantly improve our data collection system
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