Job Description

Overview

The Future Talent Program features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals

Become part of a cutting-edge and innovative Quantitative Biosciences department. Using robust scientific methodology, novel translational models, state-of-the-art instruments, and automated equipment, we engage in multidisciplinary collaborations to discover the next medical breakthrough. We have expanded our capabilities to drive higher-resolution interrogation of novel biology and the molecular mechanism of action of molecules that help advance the best drug candidates to the clinic.

Individuals joining us will have the opportunity to address challenging data problems, across multiple modalities with a hands-on influence in delivering solutions directly to biologists and chemists designing the next generation of medicines. We operate in a truly multicultural, collegial, and collaborative work environment that is rich in development and growth.

The Opportunity

As a Data Scientist within the Quantitative Biosciences Department at our company, you will lead statistical analyses and research data science solutions for small molecule and peptide workflows in early drug discovery.  In the Quantitative Biosciences department, you will have the opportunity to explore the complex data output of cutting-edge high-throughput experimentation from across the organization.

You will apply rigorous computational methods to help scientists generate novel and impactful hypotheses for target discovery. The Data Scientist will also provide stakeholders with an in-depth understanding of the data and interpretation of analytical results, providing expertise during the experimental development process.

This is an ideal opportunity for candidates who are intellectually curious, want to work on the interface of computational science and drug discovery and look to grow in their next role. You should be able to communicate results effectively and concisely to stakeholders, both orally and in written format, balance priorities and build strong relationships among multidisciplinary cross-organizational teams.

As a Data Scientist, you will:

• Develop new machine learning workflows, including deep learning workflows, that enable the discovery of new medicines.

• Contribute to property prediction models for small molecules and peptides.

• 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.

• Conduct research in areas of machine learning and molecular modeling relevant to drug discovery.

You are a strong fit for this role if:

• You are proficient in Python for scientific computing.  

• You are knowledgeable in machine learning best practices.

• You have a good working knowledge of biochemistry and/or chemistry.

Nice to have:

• Experience with high performance computing in a Unix/Linux OS environment, or familiarity with cloud computing, e.g., AWS experience.

• Experience with research projects in the pharmaceutical early discovery space.

• You keep up with cutting-edge machine learning applications and are motivated to jump in to see their application to drug-discovery.

• A track record of producing scientific publications.

• Understanding of CI/CD tools.

Qualifications/Education

• Bachelor or Master of Science in Chemistry, Biochemistry, Biostatistics, Computational Biology, Bioinformatics, Computer Science or another relevant quantitative field.

Under New York City, 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:

$39,600.00-$105,500.00 

FTP2025

MRL2025

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.

Current Employees apply HERE

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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”.

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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. 

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