Job Abstract

Job Description

Our company is a global healthcare leader with a diversified portfolio of prescription medicines, vaccines, and animal health products. Our company's success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Our company's is on a quest for cures and is committed to being the world’s premier, most research-intensive biopharmaceutical company. Our company's Research Laboratories is a true scientific research facility of tomorrow and will take our company's leading pharmaceutical R&D expertise to create breakthrough science that radically changes the way we approach serious diseases. 

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our company’s renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.

Responsibilities:

• Provide data analytics solutions for real-world tasks, with a focus on complex data types such as images, signals, and text.

• Utilize modern statistical and AI/ML methods, including deep learning and generative AI.

• Apply sound scientific principles and data analytic methods to Pharmaceutical Research and Development (R&D) projects.

• Understand customer requests and effectively communicate analysis results to customers.

Primary activities:

• Serve as data analytic representative in cross-functional teams for pharmaceutical R&D.  

• Collaborate with people from diverse background and expertise, including research scientists, clinical scientists, regulatory experts, IT specialists, etc.

• Identify opportunities to add value to different phase of pharmaceutical R&D projects.

• Identify potential data and data-analysis related problems, propose solutions, and implement them. 

• Analyzes data and interpret results.  

• Communicate analysis results effectively to audience with diverse background and expertise through both oral presentations and written reports. 

• Provide responses to data and analysis related queries from research scientists, clinical scientists, and regulatory agencies.  

• Engage in AI/ML and statistical methodology research.

Education Minimum Requirement:

• Ph.D. or equivalent degree in Statistics/Biostatistics/Data Science/Computer Science or related disciplines. OR

• Master's degree with a minimum of 4 years of relevant work experience.

Required Experience and Skills:

• Solid knowledge of AI/Machine Learning and statistical principles and methodologies.

• Demonstrated strong programming skills, particularly in Python and R languages.

• Strong oral and written communication skills.

• Ability to work well both independently and collaboratively.

• Demonstrated interest in methodology research and the application of novel methods to real-world problems.

• Ability to learn, be proactive and motivated, and consistently focus on details and prompt execution.

• Ability to collaborate with scientists and work effectively on multidisciplinary teams.

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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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

Current Contingent Workers apply HERE

Secondary Language(s) Job Description

Our company is a global healthcare leader with a diversified portfolio of prescription medicines, vaccines, and animal health products. Merck’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Merck is on a quest for cures and is committed to being the world’s premier, most research-intensive biopharmaceutical company. Merck Research Laboratories (MRL) is a true scientific research facility of tomorrow and will take Merck’s leading pharmaceutical R&D expertise to create breakthrough science that radically changes the way we approach serious diseases. 

In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our company’s renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.

Responsibilities:

• Provide data analytics solutions for real-world tasks, with a focus on complex data types such as images, signals, and text.
• Utilize modern statistical and AI/ML methods, including deep learning and generative AI.
• Apply sound scientific principles and data analytic methods to Pharmaceutical Research and Development (R&D) projects.
• Understand customer requests and effectively communicate analysis results to customers.

Primary activities:

• Serve as data analytic representative in cross-functional teams for pharmaceutical R&D.  
• Collaborate with people from diverse background and expertise, including research scientists, clinical scientists, regulatory experts, IT specialists, etc.
• Identify opportunities to add value to different phase of pharmaceutical R&D projects.
• Identify potential data and data-analysis related problems, propose solutions, and implement them. 
• Analyzes data and interpret results.  
• Communicate analysis results effectively to audience with diverse background and expertise through both oral presentations and written reports. 
• Provide responses to data and analysis related queries from research scientists, clinical scientists, and regulatory agencies.  
• Engage in AI/ML and statistical methodology research.

Education Minimum Requirement:

• Ph.D. or equivalent degree in Statistics/Biostatistics/Data Science/Computer Science or related disciplines. OR
• Master's degree with a minimum of 4 years of relevant work experience.

Required Experience and Skills:

• Solid knowledge of AI/Machine Learning and statistical principles and methodologies.
• Demonstrated strong programming skills, particularly in Python and R languages.
• Strong oral and written communication skills.
• Ability to work well both independently and collaboratively.
• Demonstrated interest in methodology research and the application of novel methods to real-world problems.
• Ability to learn, be proactive and motivated, and consistently focus on details and prompt execution.
• Ability to collaborate with scientists and work effectively on multidisciplinary teams.

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

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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, 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:

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.

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 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.