Key responsibilities will include:

• Develop and implement effective AI/ML and cheminformatics workflows to impact all aspects of the Design, Make, Test, and Analyze (DMTA) cycles, including compound idea generation, library design, synthesis planning, and data analysis.
• Apply novel ML, statistics, and cheminformatics techniques to improve hit identification and hit-to-lead processes for different screening technologies (mRNA display, DNA-Encoded Libraries, high-throughput screening, virtual screening).
• Deliver optimized informatics algorithms and workflows to expedite drug discovery pipelines for a broad portfolio of modalities, such as peptides, antibody-drug conjugates, and targeted protein degraders.
• Identify opportunities, and collaborate with research scientists, IT specialists, and data scientists to find creative cheminformatics solutions to data, workflow, infrastructure, analysis, and modeling challenges.
• Lead aspects of capability builds while participating in cross-functional matrix teams to advance computational drug discovery.
• Identify and evaluate new cheminformatics and AI/ML technology and software from commercial sources, open innovation, or external collaborations.
• Effectively communicate scientific results internally and externally through presentations and publications.
• Provide scientific mentoring and training to maximize team impact on pipeline and capability deliverables.

Position Qualifications:

Education Minimum Requirement:

• Ph.D., Master's, or Bachelor's degree in cheminformatics, computational chemistry, chemistry, chemical engineering, or related fields

Required Experience and Skills:

• 4+ years of experience applying cheminformatics and AI/ML approaches to problem-solving in drug discovery, including data mining, method implementation, and workflow automation, or 8+ years with a Master's degree, and 12+ years with Bachelor's degree.
• Comprehensive knowledge of drug discovery and medicinal chemistry, with the ability to effectively communicate with collaborative scientists from diverse backgrounds.
• Broad understanding of modern data science methods, particularly machine learning, in advancing drug discovery (e.g., predictive modeling, generative modeling, retrosynthesis prediction, active learning, explainable ML).
• Excellent oral and written communication skills, with the ability to positively influence team decisions.
• Strong problem-solving skills with meticulous attention to detail.
• Proficiency in scripting (Python and/or R), SQL, and cheminformatics toolkits (OEChem, RDKit, DeepChem) with practical application of these skills.
• Expertise in machine learning libraries (TensorFlow, Keras, PyTorch, Pandas, Scikit-Learn).
• Familiarity with workflow applications and data analytics software (Pipeline Pilot, Knime, Spotfire).

Preferred Experience and Skills:

• Track record of scientific publications in peer-reviewed journals.
• Leadership and people management experience.
• Expertise in data analysis and modeling in fields such as high-throughput experimentation, DNA-encoded libraries, mRNA display screening, virtual screening, screening hit identification, lead optimization, modality drug design.
• Experience with IT infrastructure such as database systems, cloud computing (such as Databricks, AWS), and high-performance computing in Linux environments.
• Experience leading scientific initiatives or capability builds in a matrixed environment relevant to drug discovery.

NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

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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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We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas 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:
$151,900.00 - $239,200.00

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:
Not Applicable

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:
12/15/2024
*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.

Requisition ID:R318584