Data Science Manager - Chemical Insights Research Institute

Job Description

We have an exciting opportunity for a Chemical Safety Data Science Manager at UL Research Institutes.

The Chemical Safety Data Science Manager will design, develop, and maintain the data analysis infrastructure to support the Chemical Insights Research Institute (CIRI) mission of advancing human and environmental health. This role focuses on delivering efficient data analysis pipelines, ensuring efficient data exchange and interoperability across diverse platforms and scientific disciplines, and the application of advanced machine learning/AI methods and statistical frameworks to identify and quantify trends or patterns in complex, large scale datasets. The Lead Chemical Safety Data Scientist works closely with CIRI scientists and external collaborators to deliver high-quality scientific data that inform chemical risk assessment, hazard assessment, regulatory decisions, and public health guidance.

UL Research Institutes:

At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking the tough questions because we believe a safer world begins with knowledge.

Build a safer, more secure, and sustainable future with us.

Chemical Insights Research Institute (CIRI):

The Chemical Insights Research Institute (CIRI) contributes to the protection of public health and well-being by conducting scientific research. Our research and initiatives let people around the world know what chemicals are in the air we breathe and how they affect human health and the planet. We share our research and knowledge through information and application tools with leaders in the scientific, business, and policy communities to raise awareness of human health risks stemming from emerging technologies. To learn more, visit: chemicalinsights.org/

What you'll learn and achieve:

As the Chemical Safety Data Science Manager, you will play a key role in the rapid growth of UL as you:

• Lead a team of data scientists in designing and implementing cutting edge data science methods for chemical safety.

• Guide the development of sustainable, ontology-driven workflows to enhance semantic interoperability across chemical, toxicology, and exposure databases.

• Oversee the extraction, curation, and harmonization of structured and unstructured chemistry, toxicology, toxicokinetic, and exposure data.

• Direct the design and implementation of artificial intelligence and machine learning solutions to automate data extraction, curation, and quality evaluation of structured and unstructured data.

• Lead the development and implementation of data mapping and extraction, transformation, and load (ETL) pipelines for efficient exchange of data between established chemical safety data systems (e.g., IUCLID, ToxRefDB).

• Lead the development and maintenance of the data analysis pipelines for high-data content and high-throughput screening assays.

• Lead the implementation and maintenance of laboratory information management system (LIMS) and electronic laboratory notebook for CIRI.

• Collaborate with toxicologists, exposure scientists, and toxicokinetic scientists to provide solutions for linking cross-disciplinary data, computational modeling, and interpreting experimental results.

• Work closely with software and database engineers to provide high-quality chemical safety data for on-line software applications and decision support tools.

• Effectively communicate complex technical concepts, methodologies, and results to diverse audiences, including senior management, amplification partners, and data stakeholders.

• Stay up-to-date with the latest research and advancements in data science, machine learning, and artificial intelligence, and contribute to the development of new methodologies and best practices.

• Present research findings at scientific conferences, stakeholder meetings, and technical forums.

• Serve as primary author on technical reports and peer-reviewed publications.

• Lead and assist in writing research proposals and securing funding from internal and external sources.

• Provide technical support and troubleshooting for data-related issues.

• Perform other duties as assigned.

What you'll experience working at UL Research Institutes: We have pursued our mission of working for a safer, more secure, and sustainable world for nearly 130 years, embedding conscientious stewardship into everything we do.

• People: Our people make us special. You'll work with a diverse team of experts respected for their independence and transparency and build a network, because our approach is collaborative. We collaborate across disciplines, organizations, and geographies to build the global scientific response that today's global challenges require.

• Interesting work: Every day is different for us here. We see what's on the horizon and use our expertise to build the foundations of a safer future. You'll have the opportunity to push the boundaries of human understanding as part of a team working to advance the public good.

• Grow and achieve: We learn, work, and grow together through targeted development, reward, and recognition programs.

• Values. Four core values guide our work: collaboration, respect, integrity, and beneficence. By living our values, we inspire the trust essential to fulfilling our mission and foster the partnerships that enable us to pursue a beneficent future in which we all can thrive.

• Total Rewards: All employees at UL Research Institutes are eligible for bonus compensation. We offer comprehensive medical, dental, vision, and life insurance plans and a generous 401k matching structure of up to 5% of eligible pay. Moreover, we invest an additional 4% into your retirement saving fund after your first year of continuous employment. Depending on your role, you may be able to discuss flexible working arrangements with your manager. We also provide employees with paid time off, including vacation, holiday, sick, and volunteer days.

What makes you a great fit:

While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:

• Advanced proficiency in programming and statistical languages (e.g. Python, Java, R).

• Advanced knowledge of machine learning, statistical modeling, and data visualization tools.

• Working knowledge of chemistry, toxicology, toxicokinetics, and exposure science.

• Familiarity with semantic web technologies, ontologies (e.g., UMLS, GO, BAO), and knowledge graph frameworks.

• Proficiency with cloud computing and AI/ML frameworks.

• Strong understanding of relational and non-relational database systems and data engineering principles.

• Pipelining and analysis of high-throughput screening data including transcriptomics.

• Proven ability to lead multidisciplinary teams and manage complex projects in a research setting.

• Exceptional project management skills, including planning, execution, and performance evaluation.

• Excellent problem-solving and analytical capabilities, with the ability to adapt to new challenges and prioritize competing demands.

• Willingness to learn and research new concepts and technologies in quick Proof of Concepts.

• Strong interpersonal skills with the ability to communicate with technical and non-technical internal and external stakeholders.

• Skilled in versioning best practices, i.e. GitHub, Gitlab, Code Commit.

Professional education and experience requirements for the role include:

• Ph.D. in Environmental Health, Computational Toxicology, Data Science, Statistics, Biology, Chemistry, or a related field and a minimum of 6 years of relevant experience in data science

• Solid technical knowledge and experience working with R, Java and Python programming languages.

• Solid technical knowledge of relational (SQL, Postgres) and non-relational databases (MongoDB).

• Demonstrated familiarity with semantic web technologies, ontologies (e.g., UMLS, GO, BAO), and knowledge graph frameworks.

• Proficiency in using artificial intelligence methods for extraction of chemical safety data.

• Experience in the extraction and curation of toxicity data.

• Prior experience working to develop data science and analysis solutions in chemical safety in a research environment.

About UL Research Institutes and UL Standards & Engagement

UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data, convene experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being.

Our affiliate, UL Solutions, stands alongside us in working for a safer and more sustainable world. UL Solutions conducts testing, verification and certification, and provides training and advisory services, along with data-driven reporting and decision-making tools, for customers around the world.

To learn more, visit our websites UL.org and ULSE.org.

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