Senior Machine Learning Engineer ( Multiple Openings) - United States Pharmacopeia

Description

Who is USP?

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's top authorities in health and science to develop quality standards for medicines, dietary supplements, and food ingredients. USP's fundamental belief that Equity = Excellence manifests in our

core value of Passion for Quality through our more than 1,300 hard-working professionals across twenty global locations to deliver the mission to strengthen the supply of safe, quality medicines and supplements worldwide.

At USP, we value inclusivity for all. We recognize the importance of building an organizational culture with meaningful opportunities for mentorship and professional growth. From the standards we create, the partnerships we build, and the conversations we foster, we affirm the value of Diversity, Equity,

Inclusion, and Belonging in building a world where everyone can be confident of quality in health and healthcare.

USP is proud to be an equal employment opportunity employer (EEOE) and affirmative action employer. We are committed to creating an inclusive environment in all aspects of our workan environment where every employee feels fully empowered and valued irrespective of, but not limited to, race, ethnicity, physical and mental abilities, education, religion, gender identity, and expression, life experience, sexual orientation, country of origin, regional differences, work experience, and family status. We are committed to working with and providing reasonable accommodation to individuals with disabilities.

Who is USP Looking For?

Job Duties:

• Design and develop structured, vectorized Python code that leverages best practice coding methodologies.
• Lead efforts to source, import, and integrate new supply chain data into the Medicine Supply Map.
• Perform exploratory data analysis, test working hypotheses, and uncover relationships within the Medicine Supply Map. Build, maintain, and support existing machine learning models as well as develop techniques for evaluating model performance.
• Collaborate with other technical team members to create requirements, support development, and resolve technical issues.
• Partner with IT to drive functionality enhancements to existing platforms.
• Design and build compelling data visualizations, dashboards, and reports for internal and external stakeholders.
• Present and communicate insights to internal and external stakeholders. Set and manage internal and external partner expectations related to specific deliverables.
• Telecommuting benefits available.

Job Description:

Employer will accept a Bachelor's degree in Computer Science, Data Science, Health Informatics, or related field and 48 months of experience in job offered or in a Machine Learning Engineer-related occupation.

Position requires 48 months of experience in the following:

• Pharmaceutical supply chain data;
• Descriptive and inferential statistics;
• Writing scalable, productionable Python code;
• Project management;
• Implementing large-scale data science projects including defining requirements and presenting findings to internal/external stakeholders;
• Sourcing and integrating data into tech stack;
• Analyzing downstream modeling implications to build visualizations;
• Implementing appropriate algorithms, developing model and validation and interpreting model output;
• AWS cloud platform and version control software;
• Matplotlib and Seaborn; and
• Statistical analysis in hypothesis testing and research design.

Alternatively, the employer will accept a Master's degree in Computer Science, Data Science, Health Informatics or related field and 24 months of experience in job offered or in a Machine Learning Engineer-related occupation.

Position requires 24 months of experience in the following:

• Pharmaceutical supply chain data;
• Descriptive and inferential statistics;
• Writing scalable, productionable Python code;
• Project management;
• Implementing large-scale data science projects including defining requirements and presenting findings to internal/external stakeholders;
• Sourcing and integrating data into tech stack;
• Analyzing downstream modeling implications to build visualization
• Implementing appropriate algorithms, developing model and validation and interpreting model output;
• AWS cloud platform and version control software;
• Matplotlib and Seaborn; and
• Statistical analysis in hypothesis testing and research design.

Please apply online at https://usp.jobs/ Refer to Job code #SMLE/20421.52.4.

Supervisory Responsibilities

None.

Benefits

USP provides you with the benefits you need to protect yourself and your family today and tomorrow. From company-paid time off, comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial wellbeing are protected.

About USP

The U.S. Pharmacopeial Convention (USP) USP is an independent scientific organization that collaborates with the world's top experts in health and science to develop quality standards for medicines, dietary supplements, and food ingredients. USP brings together more than 1,100 talented professionals across five global locations to deliver its mission to strengthen the supply of safe quality medicines and supplements worldwide. USP is proud to be an equal employment opportunity employer (EEOE) and affirmative action employer. Employment selection and related decisions are made without regard to sex, race, age, disability, religion, national origin, color, veteran status, sexual orientation, gender identity or any other protected class. We are committed to working with and providing reasonable accommodation to individuals with disabilities. USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information. 41 CFR 60-1.35(c)

Job Category Information Technology

Job Type Full-Time