Senior Manufacturing Data Engineer at 10x Genomics
, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

09 Jan, 26

Salary

0.0

Posted On

11 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Software Development, Data Analytics, Data Visualization, Statistical Process Control, Python, JavaScript, Cloud Infrastructure, AWS, GCP, Snowflake, Statistical Analysis Software, Lean Methodologies, Six Sigma, Problem-Solving, Communication, Collaboration

Industry

Biotechnology Research

Description
Contribute to fast pace CAPA and Non-Conformance investigations and remediation Degree in Engineering, Computer science, Data science, Statistics, or related field BS with 5+ years of experience, or MS / PhD with 3+ years of experience. Demonstrated ability to develop software and data solutions for manufacturing processes. Experience with data analytics and implementing data visualization Understanding of manufacturing statistical process control and monitoring Ability to travel internationally (up to 20%) is required. Experience in developing process controls for the manufacture of successful life science products. Proficiency in programming languages such as Python and JavaScript Experience with cloud infrastructure, such as AWS or GCP Experience with Snowflake Data Warehousing Technology and modeling Experience with standard statistical analysis software (e.g. JMP, R, CHARTrunner, Minitab, Matlab) Strong problem-solving skills and attention to detail Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment Desire to be part of a rapidly evolving organization, with a compelling technology, and taking products and processes to the next level Working knowledge of Lean and/or Six Sigma methodologies. Familiarity Compliance Quest and/or Arena PLM. Six Sigma Green Belt or Black Belt Certification
Responsibilities
Contribute to fast-paced CAPA and Non-Conformance investigations and remediation. Develop software and data solutions for manufacturing processes.
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