Senior Machine Learning Scientist, Foundation Model

Merck; Cambridge (MA); Hybrid; USD 145,000 - 228,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) retirement plan

Paid holidays and vacation

Sick days

Job summary

Merck is seeking a Senior Machine Learning Scientist to develop and train large-scale Foundation Models for biology, using state-of-the-art AI/ML techniques on high-performance GPU clusters. You will collaborate with computational biologists, data scientists, engineers and researchers across the company.

The role emphasizes transformer models, diffusion methods, and representation learning, with opportunities to publish findings and contribute to therapeutics development.

Qualifications

• PhD required in a relevant STEM field.
• Expertise in modern AI/ML approaches and large transformer-based Foundation Models.
• Experience with pre-training large-scale, multi-modal models on multiple GPUs.
• Proficiency in Python and PyTorch, with strong collaboration skills.

Responsibilities

• Collaborate with cross-functional team to identify research questions and data requirements, and develop AI/ML solutions.
• Design, train, and implement transformer-based Foundation Models for Target and Biomarker discovery using large biological data.
• Stay updated with AI/ML advancements and apply them to improve methodologies and models.
• Publish research findings in conferences/journals and contribute to the scientific community.

Skills

Transformer models

Python

PyTorch

Large-scale training

Diffusion models

Education

PhD in Computer Science, Applied Math, Physics, Computational Biology, Biostatistics, Bioinformatics, Engineering, AI/ML, Genetics/Genomics, or related STEM field

Tools

PyTorch

Job description

Job Description

Our Artificial Intelligence and Machine Learning (AI/ML) capabilities are critical accelerators of our mission to invent 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 Senior Machine Learning Scientist, you will be responsible for developing and training large scale Foundation Models based on biological data. Your work will advance our understanding of complex diseases and support the development of innovative therapeutic strategies. In this pursuit, you will have at your disposal high-performance clusters with several hundred state-of-the‑art GPUs, access to biological, computational, and engineering experts from across Our Company and external vendors. You will be part of a broader, cross‑functional team of computational biologists, data scientists, software engineers, and machine learning researchers who strive to identify therapeutic targets and biomarkers.

Primary Responsibilities

• Collaborate with cross‑functional team to identify research questions, data requirements, and develop appropriate, modern AI/ML solutions.
• Design and develop, train, and implement novel ML algorithms particularly transformer‑based Foundation Models for Target and Biomarker discovery leveraging large scale biological data.
• Stay up to date with the latest advancements in modern AI/ML approaches and apply relevant advancements to improve existing methodologies and models.
• Publish research findings in relevant conferences and journals, and actively contribute to the scientific community through knowledge sharing and collaborations.

Required Education, Experience, And Skills

• PhD in Computer Science, Applied Math, Physics, Computational Biology, Biostatistics, Bioinformatics, Engineering, AI/ML, Genetics/Genomics, or a related STEM field.
• Strong expertise and experience in modern AI/ML approaches, training and working with large transformer‑based Foundation models, representation learning, diffusion models, and related methodologies.
• Experience with pre‑training large‑scale and/or multi‑modal Foundation Models on multiple GPUs.
• Proficiency in programming languages such as Python, and experience with standard deep learning frameworks like the PyTorch ecosystem.
• Interest in life sciences problems and disease biology, and willing to learn from and teach others.
• Excellent communication skills and ability to work collaboratively in multi‑disciplinary team.

Preferred Skills And Experience

• Familiarity and prior experience with biological data and biological foundation models are strong pluses.
• Relevant publications in scientific journals and experience contributing to research communities, including NeurIPS, ICML, ICLR, etc.

US And Puerto Rico Residents Only

We are committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities.

Requirements

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
EEOC Know Your Rights
EEOC GINA Supplement
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

The salary range for this role is
$144,800.00 - $227,900.00
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long‑term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

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

Employee Status

Regular

Relocation

Domestic

VISA Sponsorship

Yes

Travel Requirements

10%

Flexible Work Arrangements

Hybrid

Shift

Not Indicated

Valid Driving License

No

Hazardous Material(s)

n/a