SLAS, headquartered in Oak Brook, IL, is a tax exempt organization under section 501 (c) (3) of the United States Internal Revenue Code. It is a professional society representing a global community of more than 18,000 life sciences professionals—from academia, government and industry—collectively focused on leveraging the power of technology to achieve scientific objectives. We consider a primary part of our mission to unite great minds in life sciences discovery and technology for the advancement of all research.

Industry: Non-profit Organizations
Company Size: 11-50 employees

SLAS (Society for Laboratory Automation and Screening)

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**Company Description**

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Biotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within AbbVie’s R&D, is a global organization that is responsible for discovering and optimizing drug candidate molecules for biotherapeutic modalities (monoclonal antibodies, multispecifics, proteins, conjugates, etc.) and genetic medicines (AAV, LNPs, siRNA etc.) for all therapeutic areas across discovery.

**Job Description**

The Principal Data Architect is a visionary leader in the development and success of our cloud-native data platform, which supports the development and integration of predictive and generative machine learning solutions in drug discovery scientist workflows. This role requires a strong ability to see both the big picture and the details, and to work cross-functionally with both wet lab scientists, ML engineers, software engineers, data engineers, and data infrastructure engineers, among others.

This position reports to the Head of AI/ML in Biotherapeutics and Genetic Medicine (BGM) and will serve as a trusted advisor to senior leadership. This role is pivotal in driving our organization towards becoming a leader in the application of artificial intelligence, ensuring that AI and ML initiatives are built on a robust, resilient, and scalable data foundation that grows with the organization.

**Key Responsibilities**

- Drive the vision, execution, implementation, adoption, and continuous improvement of a robust, scalable data platform as the foundation for the execution of AbbVie’s AI/ML strategy, particularly within BGM.

- Define data models and architectures that collect, store, structure, access, and connect datasets generated across a dozen different lab groups, enabling downstream uses (ML model development, operational reports, lab documentation, etc.).

- Collaborate closely with wet lab scientists, especially the Head of Lab Data Products, and automation engineers to maximize the utility of data captured by lab automation workflows.

- Collaborate closely with data scientists, and deployment engineers, to ensure data pipelines support both machine learning model development and deployment into production.

- Co-develop and execute a strategy that maximizes FAIR-fication of BGM data and in concert with wider BGM strategic goals.

- Communicate the impact of a robust data platform to AbbVie’s drug pipeline, using both user stories and KPIs that allow measurement of the value added.

- Multiply impact of the data platform by championing and communicating the principles behind connected data, data stewardship, data-as-a-product, and cloud-first and cloud-native architectures.

- Collaborate with data infrastructure and data governance experts across AbbVie to ensure that data governance principles and policy are optimally implemented.

- Ensure alignment and coordination of data infrastructure initiatives with existing AbbVie initiatives such as Convergence, and ARCH.

Qualifications

**Qualifications**

- BS, MS, or PhD in computer science, data science, computational biology, computational chemistry, computational biophysics, or related field with typically 14-16+ (BS) years, 12-14+ (MS) years, or 6-8+ (PhD) years of experience in data architecture with a track record of designing enterprise data platforms.

- Deep technical skills in data modeling, data integration, implementation of data storage solutions, data pipelines, and integration with AI/ML.

- Production programming expertise in SQL, python, or Java.

- Experience building cloud data infrastructure solutions using AWS, Azure, or GCP.

- Familiar with both wet and dry lab scientific principles and processes, able to foresee and prevent data platform-originating failure modes.

- Experience with cross-functional team leadership, and track record of collaboration excellence.

- Previous experience in the pharmaceutical or biotechnology sectors.

- Experience managing both team member delivery and career development.

- Exceptional interpersonal and communication skills, and strong evidence of ability to build stakeholder alignment.

- Ability to integrate data governance principles into everyday decision making.

- The position is located at Worcester, MA site as a full time in office or hybrid (3 days per week) role.

- Position will be hired based on level of experience - Principal Research Scientist I or Principal Research Scientist II

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at thetime of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future.

- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

- This job is eligible to participate in our short-term incentive programs.

- This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of anybonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's soleand absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Principal Research Scientist II - Data Architecture, Biotherapeutics and Genetic Medicine

BioSpace is the digital hub for life science news and jobs. We provide essential insights, opportunities and tools to connect innovative organizations and talented professionals who advance health and quality of life across the globe.

Industry: Internet News
Company Size: 11-50 employees

BioSpace

**Company Description**

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us atwww.abbvie.com. Follow @abbvie onX,Facebook,Instagram,YouTube,LinkedInandTik Tok.

Biotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within AbbVies R&D, is a global organization that is responsible for discovering and optimizing drug candidate molecules for biotherapeutic modalities (monoclonal antibodies, multispecifics, proteins, conjugates, etc.) and genetic medicines (AAV, LNPs, siRNA etc.) for all therapeutic areas across discovery.

**Job Description**

The Principal Data Architect is a visionary leader in the development and success of our cloud-native data platform, which supports the development and integration of predictive and generative machine learning solutions in drug discovery scientist workflows. This role requires a strong ability to see both the big picture and the details, and to work cross-functionally with both wet lab scientists, ML engineers, software engineers, data engineers, and data infrastructure engineers, among others.

This position reports to the Head of AI/ML in Biotherapeutics and Genetic Medicine (BGM) and will serve as a trusted advisor to senior leadership. This role is pivotal in driving our organization towards becoming a leader in the application of artificial intelligence, ensuring that AI and ML initiatives are built on a robust, resilient, and scalable data foundation that grows with the organization.

**Key Responsibilities**

- Drive the vision, execution, implementation, adoption, and continuous improvement of a robust, scalable data platform as the foundation for the execution of AbbVies AI/ML strategy, particularly within BGM.

- Define data models and architectures that collect, store, structure, access, and connect datasets generated across a dozen different lab groups, enabling downstream uses (ML model development, operational reports, lab documentation, etc.).

- Collaborate closely with wet lab scientists, especially the Head of Lab Data Products, and automation engineers to maximize the utility of data captured by lab automation workflows.

- Collaborate closely with data scientists, and deployment engineers, to ensure data pipelines support both machine learning model development and deployment into production.

- Co-develop and execute a strategy that maximizes FAIR-fication of BGM data and in concert with wider BGM strategic goals.

- Communicate the impact of a robust data platform to AbbVies drug pipeline, using both user stories and KPIs that allow measurement of the value added.

- Multiply impact of the data platform by championing and communicating the principles behind connected data, data stewardship, data-as-a-product, and cloud-first and cloud-native architectures.

- Collaborate with data infrastructure and data governance experts across AbbVie to ensure that data governance principles and policy are optimally implemented.

- Ensure alignment and coordination of data infrastructure initiatives with existing AbbVie initiatives such as Convergence, and ARCH.

**Qualifications**

**Qualifications:**

- BS, MS, or PhD incomputer science, data science, computational biology, computational chemistry, computational biophysics, or related field with typically 14-16+ (BS) years, 12-14+ (MS) years, or 6-8+ (PhD) years of experience in data architecturewith a track record of designing enterprise data platforms.

- Deep technical skills in data modeling, data integration, implementation of data storage solutions, data pipelines, and integration with AI/ML.

- Production programming expertise in SQL, python, or Java.

- Experience building cloud data infrastructure solutions using AWS, Azure, or GCP.

- Familiar with both wet and dry lab scientific principles and processes, able to foresee and prevent data platform-originating failure modes.

- Experience with cross-functional team leadership, and track record of collaboration excellence.

- Previous experience in the pharmaceutical or biotechnology sectors.

- Experience managing both team member delivery and career development.

- Exceptional interpersonal and communication skills, and strong evidence of ability to build stakeholder alignment.

- Ability to integrate data governance principles into everyday decision making.

- The position is located at Worcester, MA site as a full time in office or hybrid (3 days per week) role.

- Position will be hired based on level of experience - Principal Research Scientist I orPrincipal Research Scientist II

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:

- The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at thetimeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location,andwemay ultimatelypay more or less than the posted range. This range may be modified in thefuture.

- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.

- This job is eligible to participate in our short-term incentiveprograms.

- This job is eligible to participate in our long-term incentiveprograms

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of anybonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employee remains in the Company's soleandabsolutediscretion unless and until paid andmay be modified at the Companys sole and absolute discretion, consistent withapplicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visithttps://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

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