Job Description

Our Company is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Our Company has codified its 125-year legacy. Our Company's success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

This position will be based in our company's Global Commercial Human Health division where we partner with colleagues from across all geographies and divisions to help serve our patients and customers around the globe. This position is a "hands-on" role working closely with our AI/ML delivery leads across a variety of data science topics.

Day-to-day the role will require writing and integrating code. You will work with data scientists, data engineers, machine learning engineers, business analysts, and user experience/user design professionals to develop our company's data science initiatives. You will work on developing cutting edge modeling pipelines and performing analytics on the numerous data sets we have internally. This can also entail building or rewriting the model from scratch.

We'll look to you to identify required data sources for a given initiative and we'll also lean on you to call out risks with applying different data science methods on our product outputs. Some reporting and visualization skills will come in handy too. Experience with common pharmaceutical datasets is a plus. Coursework in machine learning and advanced statistics will be a benefit. Experience processing or working with unstructured data with common NLP techniques and experience with prompting LLMs is desirable.

Primary Responsibilities:

• Select statistical, machine learning, optimization techniques to solve business problems and support leadership in prioritizing what to build and setting realistic goals for execution

• Quickly utilize and become comfortable with the companies organizational and technical set up

• Bring to the latest best practices being taught in academia

• Be able to report out the work you're performing, telling a data story

• Contribute to innovative experiments by thinking through the technical solution with your colleagues

• Ability to manage up and work provide updates on progress to manager

Education Minimum Requirements:

• Actively enrolled in an accredited MS or PhD University program is required

• BA degree in Science, Engineering, Mathematics, or related quantitative field

Required Experience and Skills:

• Candidates must be able to commit to full-time onsite (or hybrid if applicable) employment for 10 - 12 weeks beginning June 2025

• Some experience in Applied Machine Learning, and applying machine learning to small and large datasets

• 1-2 years experience or previous coursework with scripting languages (e.g. python)

• Previous experience with data querying languages (e.g. SQL)

• Previous experience prompting LLMs

• Self-motivation and proactivity are highly desirable

• Strong interpersonal and communication skills, along with the ability to communicate appropriately and confidently with colleagues from different backgrounds

• Previous undergraduate Internship experience in cross-functional data teams is preferred.

Preferred Experience and Skills:

Coding and deployment:

• Scripting language experience

• Some Experience with deploying to cloud-based infrastructure; AWS, Heroku, Cloud Foundry, Databricks, DataIku

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

MHH2025

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.

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:

EEOC Know Your Rights

EEOC GINA Supplement

Pay Transparency Nondiscrimination

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.

Learn more about your rights, including under California, Colorado and other US State Acts

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".

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:

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

*A job posting is effective until 11:59:59PM on the day BEFOREthe 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:R324160