MSD Director Information Architecture Hybrid 

United States, New Jersey, Rahway 

37341830

Responsibilities:

Information Architecture Development:

• Design and develop information architecture frameworks and models for organizing and classifying biomedical data related to target and biomarker discovery, chemistry, Biologics, Vaccines, safety, and process and analytical R&D.

• Collaborate with cross-functional teams to identify and understand data requirements and develop strategies for data organization, integration, and retrieval.

• Define and implement data standards, taxonomies, and ontologies to ensure consistent and accurate data representation.

Data Management and Integration:

• Oversee the management and integration of diverse biomedical data sources, including Omics data (genomics, transcriptomics, proteomics, metabolomics), patient-level data, compound libraries, chemical structures, safety data, and analytical results.

• Develop data integration strategies and methodologies to enable efficient and seamless access to relevant information across multiple systems and platforms.

• Establish data quality control processes to ensure data accuracy, completeness, and consistency.

Instrument and Software Integration:

• Possess a strong knowledge of instruments and software commonly used in early biopharma research, such as high-throughput screening devices, liquid handling systems, mass spectrometers, gene sequencing platforms, and laboratory information management systems (LIMS).

• Collaborate with IT and research teams to integrate instrument-generated data and experimental workflows into data management systems.

• Ensure seamless interoperability between instruments, software applications, and data repositories.

System Development and Optimization:

• Collaborate with IT teams to design and implement data management systems, tools, and infrastructure to support biopharma research activities.

• Identify opportunities for system optimization and drive continuous improvement initiatives to enhance data accessibility, usability, and performance.

• Stay up-to-date with emerging technologies and trends in information architecture and recommend innovative solutions that align with organizational goals.

Popular Data Sources Familiarity:

• Possess familiarity with popular public and commercial data sources that enable biopharma research, such as public Omics databases (e.g., GenBank, GEO), clinical trial repositories (e.g., ClinicalTrials.gov), patient-level data platforms (e.g., OMOP, Optum), and disease-specific databases (e.g., Cancer Genome Atlas).

• Stay informed about the availability, quality, and limitations of various data sources and their relevance to biopharma research.

Cross-functional Collaboration:

• Collaborate with scientists, researchers, bioinformaticians, and other stakeholders to understand their data needs and provide guidance on data organization, retrieval, and analysis.

• Foster strong relationships with internal teams to ensure effective communication, coordination, and alignment of information architecture efforts with business objectives.

• Act as a subject matter expert and provide training and guidance on information architecture principles and best practices.

Qualifications:

• Bachelor's or Master's degree in Information Science, Computer Science, Bioinformatics, or a related field.

• Proven experience working in a Senior information architect or similar role, preferably in the biopharmaceutical or life sciences industry.

• Strong domain knowledge in biopharma research, including target and biomarker discovery, chemistry, Biologics, Vaccines, safety, and process and analytical R&D.

• Expertise in information architecture concepts, methodologies, and tools.

• Proficiency in data modeling, taxonomies, ontologies, and data integration strategies.

• Experience with data management systems and technologies (e.g., relational databases, data warehouses, big data platforms).

• Familiarity with instruments and software supporting early biopharma research, including high-throughput screening devices, liquid handling systems, mass spectrometers, gene sequencing platforms, and LIMS.

• Familiarity with popular data sources enabling biopharma research, such as public Omics databases, patient-level data platforms, and disease-specific databases.

• Strong analytical and problem-solving skills with the ability to handle complex data sets and multidimensional relationships.

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

• Familiarity with relevant regulatory guidelines and compliance requirements in the biopharmaceutical industry.

In accordance withcurrentposition prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached yourset forthDescriptionlongereligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.

Current Contingent Workers apply

US and Puerto Rico Residents Only:

if you need an accommodation during the application or hiring process.

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, generally Tuesday, Wednesday and either Monday or Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by aagreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

Expected salary range:

$175,440.00 - $276,200.00

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Business Enterprise Architecture (BEA), Business Process Modeling, Data Management, Data Modeling, Data Science, Requirements Management, Stakeholder Relationship Management, Strategic Planning, System Designs, Technical Advice

Architecture Development, Architecture Development, Architecture Management, Biochemical Analysis, Biochemical Assays, Biochemical Tests, Bioinformatics, Biology, Biopharmaceuticals, Biotechnology, Cell-Based Assays, Cell Biology, Cell Physiology, Chemical Biology, Clinical Trials, Computer Science, Data Architecture, Data Integration, DNA Microarray, Immunoassays, Immunochemistry, Immunology, Information Architectures, IT Project Lifecycle, Laboratory Informatics {+ 9 more}

05/08/2024

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