Senior Specialist, Data Science

Job Description

Are you passionate about leveraging cutting-edge AI/ML technologies to revolutionize drug discovery and development? The Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics (PDMB) department of Research Laboratories is seeking a Senior Scientist specializing in AI/ML to support efforts in transforming the way PDMB leads the assessment of drug candidates. The successful candidate will join a dynamic Data Science team focused on bringing AI/ML approaches to bear to improve the speed and quality of decision-making in drug discovery and development. PDMB aims to leverage Generative AI (GenAI) to enhance document authoring processes, thereby improving efficiency and compliance in regulatory submissions.

The candidate will play a key role in developing, implementing, and optimizing GenAI approaches to streamline the creation and quality control (QC) of regulatory submission documents. The candidate will be part of an interdisciplinary team working closely with other research functions across our Company's global organization. The position is a key collaborator with principal investigators and lab-based colleagues.

Primary Responsibilities:
Design, develop, and deploy GenAI models to automate the compilation and QC of regulatory submission documents and reports .
Collaborate with principal investigators and lab-based colleagues to ensure the integration of GenAI solutions with PDMB's scientific processes.
Work with data engineers and architects in IT to build a data infrastructure that supports PDMB's scientific questions and enhances data-driven decision-making.
Ensure the clarity, accuracy, and conciseness of regulatory documents to facilitate the review process.
Implement strategies to leverage GenAI for improving document quality and consistency.

Education Minimum Requirements:
Ph.D. in Computer Science, Statistics, Applied Mathematics, Bioinformatics, Computational Biology, Chemical Informatics, Engineering, or related fields

Required Experience and Skills:
Proficiency with statistics, algorithm design, and/or machine learning models.

Skilled at GenAI, Natural Language Processing (NLP), and manipulating high-dimensional big data.

Expertise in programming languages including Python, R, SQL, and/or JavaScript.
Keeps current with emerging trends in GenAI and drug R&D.
Strong collaboration and communication skills.
Ability to produce clear, concise, and accurate documentation.

Preferred Experience and Skills:
Knowledge of Chemistry, Molecular Biology, Biochemistry.
The ability to influence scientists to adapt to positive change.
Experience with regulatory submissions and understanding of the review process.
Familiarity with cloud-based data platforms and technologies (e.g., AWS, Azure, Google Cloud).

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

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:

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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.

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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".

The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate's relevant skills, experience, and education.

Expected US salary range:
$126,500.00 - $199,100.00

Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here.

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

Search Firm Representatives Please Read Carefully
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

VISA Sponsorship:
Yes

Travel Requirements:
No Travel Required

Flexible Work Arrangements:
Hybrid

Shift:
Not Indicated

Valid Driving License:
No

Hazardous Material(s):
N/A

Required Skills:
Amazon Web Services (AWS), Applied Engineering, Business, Business Intelligence (BI), Cloud Infrastructure, Database Design, Data Infrastructure, Data Modeling, Data Science, Data Visualization, Drug Discovery Process, Machine Learning, Molecular Biology, Molecular Microbiology, Natural Language Processing (NLP), Python (Programming Language), Software Development, Stakeholder Relationship Management, Waterfall Model

Preferred Skills:
Research and Development Operations, Researching

Job Posting End Date:
06/12/2025
*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.