Assoc. Dir , Information Architecture

Merck Sharp & Dohme LLC
Boston, MA, United States
2 days ago
Apply on www.juju.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$142,400.0 - $224,100.0
Working hours
Regular working hours
Job source

Tech stack

Bioinformatics Business Process Modeling Electronic Data Capture Graph Database Information Sciences Laboratory Information Management Systems Operational Data Store Raw Data Requirements Management Semantic Web SPARQL Information Technology
+2 more
Data Management GXP

Job description

We are seeking a highly skilled Senior Information Architect to lead the design, organization, and standardization of scientific data spanning across pre-clinical discovery and manufacturing process and method development. In this critical role, you will be responsible for working with scientists and scientific leaders to understand information needs of biopharma innovation and help define information architectural constructs (Ontologies and data models), controls and processes to improve quality and context of data in support of innovation.

You will partner closely with R&D scientists, process engineers, and IT teams to harmonize complex biological, chemical, and operational data-from raw scientific outputs to GxP-compliant manufacturing data lakes.

Key Responsibilities

  • Work with stakeholders to understand their key outcome needs and Insights from data that can support these outcomes

  • Embed in product teams enabling capture and consumption of scientific data, to help define/adopt ontologies and data models that support capture and consumption of data in service of these research outcomes

  • Working as a part of data capture product team, be a voice of activation for, and help define standards and controls for data and metadata to improve quality and context of data at capture

  • Lead the adoption and integration of industry-standard ontologies (such as BioAssay Ontology (BAO) and others) to contextualize scientific datasets (e.g., Raman spectra raw data, assay results) and manufacturing process parameters.

  • Develop and maintain best practices for capturing current state of information capture and consumption for entities relavent to research processes to help improve investment in data

Requirements

  • Education: Bachelor’s or Master’s degree in Life Sciences, Computer Science, Bioinformatics, Information Science, or a related field.

  • 5+ years of experience as an Information Architect or similar role within the Biopharmaceutical or Life Sciences industry.

  • Proven, hands-on experience working with industry-standard scientific ontologies, semantic web technologies (RDF, OWL, SPARQL), and knowledge graphs.

  • Hands on experience working with stakeholders to understand data needs in support of insights and defining data models to deliver reusable data products for a spectrum of needs

  • Domain Knowledge:

  • Deep understanding of pre-clinical discovery workflows and manufacturing process/method development.

  • Strong familiarity with dominant lab data capture solutions (LIMS, ELN, CDS, and lab endpoint software).

  • Experience with industrial time-series data and contextualization tools (e.g., OSIsoft PI).

  • Technical Skills:

  • Hands on experience with data modeling tools

  • Hands on experience with ontology management tools such as CENTree

  • Excellent analytical, problem-solving, and communication skills, with the ability to bridge the gap between scientific stakeholders and technical engineering teams., Business Enterprise Architecture (BEA), Business Process Modeling, Data Management, Data Modeling, Data Science, Requirements Management, Stakeholder Relationship Management, Strategic Planning, System Designs, Technical Advice

Benefits & conditions

  • Competitive salary and comprehensive benefits package (including top-tier savings and pension plans).

  • Opportunities to work on cutting-edge data architecture and AI-driven initiatives in biopharma., We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts (https://www.msdprivacy.com/us/en/CCPA-notice/)

The salary range for this role is

$142,400.00 - $224,100.00

About the company

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:13 min

Core components of the internal Optimize ecosystem

Dominik Schneider Dominik Schneider ¡ World Congress 2025

4:09 min

Challenges of interpreting raw data with language models

Clemens Vasters Clemens Vasters ¡ World Congress 2025

1:40 min

Managing complex heterogeneous data in life sciences

Jeremy Murray Jeremy Murray ¡ World Congress 2026 Europe

3:30 min

Approaching data problems with an engineering and strategy mindset

Becky Gandillon ¡ LIVE

2:09 min

Uncovering hidden coordinate manipulation communities in binary data

Nolan Royalty ¡ Coffee With Developers

3:42 min

Building data pipelines and managing machine learning features

Hauke Brammer ¡ World Congress 2021

Videos

See all

Related articles

See all