About the role:
10x is looking for an outstanding Data Analyst to join the Manufacturing Systems Engineering (MSE) team. This is a key position for MSE and the broader Operations team to ensure development of data pipelines, ensure accessibility of data, and design of data analytics tools.
The ideal candidate will have a strong background in data engineering, data visualization and data analysis. Knowledge and hands-on experience with development and maintenance of scalable data visualization tools, trend analysis, data storage architecture and developing statistical process control for manufacturing is required. Candidates should also have a strong working knowledge of Operations processes and KPIs.
Individuals applying for this position must be self-starters, strategic thinkers, action driven, flexible in changing direction and methods, thrive in a fast-paced environment, excel at managing multiple priorities, succeed in communicating with all levels within the organization and provide immediate contribution.
What you will be doing:
Collect requirements for data visualization/analysis projects and work with stakeholders to fully define and prioritize projects. Transform business requirements into technical requirements for data visualization/analysis projects. Create and maintain analysis tools and dashboards. Partner with the stakeholders, ensuring minimal disruption to data workflows, and implement and optimize ETL processes to develop and scale data integration and analysis of quality-related data (quality control, nonconformances, manufacturing data) and from various sources. Write custom database queries to extract and aggregate MES, SCADA, and QC data from multiple sources, analyze this data and establish trends and guard bands for process control. Contribute to CAPA investigations and remediation. Provide data analysis and support for root cause investigations. Produce reports on process / method capabilities, component variability and ANOVA. Maintain accurate and detailed records of testing, conduct in-depth data analysis, and clearly communicate these results through documentation and presentations. Collaborate with stakeholders (e.g., customer-facing support teams, centralized data team, finance, logistics, manufacturing engineering, quality, and R&D) to understand data requirements and ensure data is readily available for analysis. Document data engineering processes, standards, and best practices to ensure knowledge sharing and maintainability. Continuously evaluate and adopt new technologies and tools to improve data engineering processes and efficiency.
Minimum Requirements:
Degree in Computer science, Data science, Engineering, Statistics, or related field, with an emphasis in statistical process control and monitoring. BS with 9+ years of experience, or MS / PhD with 5-8 years of experience. Relevant experience developing process control for the manufacture of successful products. Proficiency in programming languages such as Python and JavaScript Experience with ETL development and proficiency in SQL; experience with transactional and relational databases (e.g., MySQL, Oracle, PostgreSQL). Experience with cloud-based data platforms & services (e.g., Snowflake, AWS Services). Experience with standard statistical analysis software (e.g. JMP, R, CHARTrunner, Minitab, Matlab) is required. Experience with data visualization tools (e.g., Tableau, Retool). 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 a must. Familiarity with Next Gen Sequencing data and key sequencing pipelines and metrics a must.
#LI-MH1 #on-site
Below is the base pay range for this full time position. The actual base pay will depend on several factors unique to each candidate, including one’s skills, qualifications, and experience. At 10x, base pay is also just one component of the Company’s total compensation package. This role is also eligible for 10x’s equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. Your 10x recruiter can share more about the Company’s total compensation package during the hiring process.
Pay Range$161,500—$218,500 USDAbout 10x Genomics
At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.
We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.
Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference.
Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.
10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.