Associate Principal AI/ML Engineer, Data AI & Genome Sciences

Job Description

Our Artificial Intelligence Machine Learning (AI/ML) capabilities are critical accelerators to our mission to delivering towards inventing new medicines that save and improve lives. Core to the Data, AI, and Genome Sciences (DAGS) function is an AI/ML-first approach to improving target and biomarker discovery, validation and selection and elucidating complex disease mechanisms. As Associate Principal AI/ML Engineer, you will build state-of-the-art AI/ML tools and pipelines to accelerate discovery.  You will be part of a cross-functional team of computational biologists, bioinformaticians, data scientists, software engineers, and other AI/ML engineers that strive to identify therapeutic targets.

Primary Responsibilities:

• Provide tactical and strategic technical support for AI/ML Engineers and Data Scientists.

• Drive research, design, and development of cutting-edge, high-performing AI/ML algorithms, frameworks, infrastructure, and operations.

• Contribute to the development of software and reusable/reliable/scalable AI/ML workflows that can be integrated into AI/ML applications.

• Collaborate with cross-functional teams to identify research questions, data requirements, and develop appropriate AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research and operations to proactively propose innovative approaches aligned with industry standards that enhance our internal capabilities.

Required Experience and Skills:

• One of the following credentials

  • PhD in Computer Science, Physics, Electrical Engineering, Biomedical Engineering, or a related field with 4+ years academic medical or industry experience,

  • Masters with 7+ years of experience, or

  • Bachelors with 11+ years of experience.

• Candidates must be an Engineer with a passion to focus relentlessly on the enablement of their teammates with best-in-class tools and pipelines in a fast-paced industry environment.

• Candidates must have excellent communication/interpersonal skills and a team-focused collaborative mindset to provide technical support to code-heavy AI/ML Engineers and Data Scientists and to collaborate more broadly in a multi-disciplinary department.

• Candidate must be a self-starter and be able to lead projects independently.

• Candidates must have experience with Python, Torch, AWS, Docker, GitHub, and GitHub Actions CI/CD workflows.

• Candidates must have experience building/deploying/scaling novel AI/ML pipelines, particularly foundation models and representation learning to support downstream tasks.

• Candidates must have experience with the full SDLC of maintaining Python Packages following modern DevSecOps best practices.

• Interest in life sciences problems and disease biology.

• Willingness to learn from others and to teach others.

• Excellent communication skills and ability to work collaboratively in multi-disciplinary team.

#EligibleforERP

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

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We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace.  All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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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, Monday - 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 a collective-bargaining agreement (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”.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

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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. 

Employee Status:

Regular

Relocation:

Domestic/International

VISA Sponsorship:

Yes

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Required Skills:

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

Preferred Skills:

Job Posting End Date:

01/21/2025

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.