Job Description

CooperSurgical is a leading fertility and women’s healthcare company dedicated to putting time on the side of women, babies, and families at the healthcare moments that matter most in life. As a division of CooperCompanies, we're driven by a unified purpose to enable patients to experience life's beautiful moments. Guided by our shared values – dedicated, innovative, friendly, partners, and do the right thing – our offerings support patients throughout their lifetimes, from contraception to fertility and birth solutions, to women’s and family care, and beyond. We currently offer over 600 clinically relevant medical devices to healthcare providers, including testing and treatment options, as well as an innovative suite of assisted reproductive technology and genomic testing solutions. Learn more at www.coopersurgical.com.

• Designs and implements a Statistical Process Control (SPC) framework for key quality indicators extracted from the existing LIMS, including the development of control charts (e.g., X-bar/R, I-MR, CUSUM) for critical laboratory parameters.

• Develops data pipelines or query scripts to extract, transform, and load (ETL) relevant quality data from the LIMS into an analytical environment suitable for SPC analysis and visualization.

• Builds interactive data visualization dashboards that present SPC outputs, trend analyses, and key performance indicators (KPIs) in a clear, accessible format for laboratory and quality management stakeholders.

• Collaborates with QC Engineers and laboratory staff to understand data structures, measurement types, and quality specifications relevant to IVF media and medical device manufacturing.

• Documents all developed tools, scripts, and methodologies in accordance with GMP documentation requirements, ensuring traceability and reproducibility.

• Performs statistical analysis to identify out-of-control signals, process shifts, and trends, and communicates findings to senior staff.

• Supports the validation or qualification of developed tools as required by the quality management system, including preparation of user requirement specifications (URS) and testing protocols.

• Assists in training QC personnel on the use of the developed SPC dashboards and visualization tools.

• Participates in cross-functional meetings to align data analytics deliverables with operational and regulatory priorities.

• Complies with GMP, ISO, FDA, OSHA, and company quality and safety standards in all assigned activities.

• Performs other duties as assigned by management.

Knowledge, Skills and Abilities:

• Proficiency in at least one programming or scripting language commonly used for data analysis, such as Python (pandas, matplotlib, scipy) or R.

• Foundational knowledge of Statistical Process Control concepts, including control charts, process capability indices (Cp, Cpk), and common cause vs. special cause variation.

• Experience or coursework in data visualization tools or libraries (e.g., Power BI, Tableau, Plotly, Dash, or equivalent).

• Ability to work with relational databases or query structured data using SQL or equivalent query languages is a plus.

• Strong analytical and problem-solving skills with attention to detail and accuracy in data handling.

• Ability to communicate technical findings clearly to non-technical stakeholders in both written and oral form.

• Ability to work effectively in a collaborative, cross-functional team environment.

• English language proficiency at a B1 level or higher.

• Familiarity with GMP, regulated laboratory environments, or LIMS platforms is a plus but not required.

Experience:

• Academic project or coursework experience involving data analysis, statistical methods, or dashboard development is preferred.

• No prior industry experience required; this is an entry-level internship position.

Education:

• Advanced student (currently enrolled, not yet graduated) in a Bachelor's degree program in Data Analytics, Computer Science, Industrial Engineering, Statistics, Information Systems, or a related field.

• Must be available to complete an internship as part of their academic program requirements (Trabajo Comunal Universitario, practica supervisada, or equivalent).