Job Description
Our Research Laboratories South San Francisco are focused on driving discovery research. Our new multi-disciplinary discovery research site offers state-of-the-art resources to explore the most promising science combined with our world-class R&D expertise in small molecules and biologics. Located within the heart of the Bay A rea's biomedical community, research conducted in our new laboratories spans exploratory biology through early clinical development and is an integral part of our powerful world-class network of drug and vaccine discovery.
We are inspired by the belief that a research-driven enterprise dedicated to scientific excellence can create medicines and vaccines that save and improve lives. Every employee is building on our proud legacy of scientific breakthrough. Our ability to impact the lives of patients worldwide depends on the integrity, creativity, humility and scientific acumen of our team. We are creating a diverse organization that is inspired by invention and founded on a culture of respect and collaboration. At our Research Labs South San Francisco, you'll have the opportunity to expand your knowledge and skills through collaboration with talented and dedicated colleagues while advancing your career.
Our company is currently seeking a highly motivated and exceptional scientist with a focus on advanced AI/ML approaches for small molecule modeling in the Computational and Structural Chemistry department at our South San Francisco site. The successful candidate will join multidisciplinary, highly collaborative discovery teams both locally and across the global network to contribute to the invention of novel medicines. This role involves both the development of innovative computational methods involving machine learning and computational chemistry, as well as direct appl ication of advanced computational approaches to the invent ion of novel medicines .
Key Responsibilities:

• Developing new workflows, including deep learning workflows, that enable the discovery of new medicines
• Contribute to virtual screening and multi-parameter lead optimization for small molecules, peptides, and antibody-drug conjugates
• Collaborate with interdisciplinary discovery teams to apply a variety of informatics and modeling techniques to identify new drug discovery leads and accelerate the evolution of leads to drug candidates
• Continuing r esearch in areas of machine learning and molecular modeling relevant to drug discovery , and m aintaining an external scientific presence through high-impact publications and presentations
• E ducation , mentoring, and sharing of AI/ML knowledge across the department and adjacent groups

Position Qualifications:
Required Education:

• Ph.D. (or close to completion) in b iophysics, b iochemistry, c hemistry, computational chemistry, computer science, applied math, engineering or related discipline

Required Experience and Skills:

• A minimum of one (1) year experience with at least one major deep learning framework ( Py T orch or equivalent)
• E xperience developing and applying computational chemistry and machine learning approaches towards chemistry problems of biological interest
• Proficiency in Python for scientific computing
• Knowledgeable in machine learning best practices
• Experience with Linux and high-performance compute (HPC) environments
• Multiple publications and/or external presentations demonstrating creative application of computational approaches to problems of biological interest
• Strong written and oral communication skills

Preferred Experience and Skills:

• Two (2) or more + years of machine learning and deep learning experience
• Demonstrated ability to develop and apply machine learning to problems of chemical or biological interest
• Experience with chemistry modeling packages such as MOE, Schrodinger, or OpenEye
• Experience with Python toolkits such as OE Chem and RD K it
• Experience a pply ing computational methods involving molecular dynamics or quantum chemistry to pr oblems of biological interest
• Experience working in multidisciplinary teams that include experimental scientists

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#DATA2024
Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.
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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, generally Tuesday, Wednesday and either Monday or 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".
Under New York State, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. 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 salary range:
$151,900.00 - $239,200.00
Available benefits include bonus eligibility, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. For Washington State Jobs, a summary of benefits is listed here .
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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
VISA Sponsorship:
Yes
Travel Requirements:
No Travel Required
Flexible Work Arrangements:
Not Applicable
Shift:
1st - Day
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, Project Management, Software Development, Stakeholder Relationship Management
Preferred Skills:
Job Posting End Date:05/15/2024
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:R290099