Merck
Sr Spclst, Decision Science, Data Science
Cambridge, MA
May 23, 2025
Full-time
Full Job Description

Job Description

Our IT team operates as a business partner proposing ideas and innovative solutions that enable new organizational capabilities. Our team is a diverse collection of scientists and engineers working towards the same goal - enabling and accelerating the next generation of pharmaceutical sciences. We collaborate closely with laboratory and in-silico scientists, and other IT colleagues on the value chain to propose and implement innovative solutions that enable new organizational capabilities.

Decision Science is seated within the Data Science and Scientific Informatics (DSSI) team of Research and Development Sciences IT (RaDS-IT. We are responsible for developing and applying techniques for quantitative cost-risk-benefit analysis of complex scenarios in R&D. We deeply engage with stakeholders to understand challenges in real-world processes, extract domain knowledge, and design solutions. Our solution process involves mathematical modeling of data and processes implemented through efficient and modular computational tools to enhance business intelligence and decision-making capability for our stakeholders.

A successful application will engage with stakeholders to understand and formalize real-world problems; will apply data and/or process modeling techniques to represent problems in computation, use methods of dynamical systems, Bayesian inference, simulation, uncertainty quantification and AI/ML; and will be responsible for sustained, meaningful engagement with stakeholders to iteratively refine problem understanding/formalization and present results; work with other IT product teams to discover, develop, and deploy products and tools, and work with Business Technology Partners to handle shifting priorities. The position will collaborate with scientists, IT product teams, and engineers across the entire breadth of the pharmaceutical pipeline, from discovery to clinical assessment. The position presents an opportunity to apply cutting-edge mathematical and computational techniques to an emerging field with exciting and impactful applications in drug discovery and development.

Education

  • M.A./M.S. or PhD in Applied Mathematics, Computer Science, Operations Research/Industrial Engineering, Data Science, Bioinformatics/Informatics, Statistics, Computational Biology, Physics, or can demonstrate equivalence qualifications in related fields with some experience in the above domains.

Qualifications

  • Theoretical knowledge and practical experience in some of the following domains: constrained optimization, database design, dynamical systems, machine learning, Bayesian statistical modeling, logic programming.

  • Experience in applied mathematics or informatics in a medical, healthcare, public health, and/or pharmaceutical domain.

  • Fluency in at least one programming language commonly used in scientific domains, e.g., Julia, Python, MATLAB/Octave, R

  • Experience interacting with subject matter experts and stakeholders outside the domain of applicant's expertise to deliver reports or solutions.

  • Demonstrated ability to engage scientists in many fields, and a willingness to acquire necessary domain knowledge.

  • Manage project schedule, communicate with stakeholders, and deliver results on a timely basis with a high level of independence and discipline.

  • Provide guidance and mentorship for junior employees and collaborators within and outside the organization.

  • Identify opportunities for methodological innovations and execute on real problem areas.

  • Excellent team player and coordination

  • Excellent verbal and written communication skills

Preferred

  • Experience with the Julia programming language, and relevant package ecosystems (SciML, AlgebraicJulia, Turing, etc.)

  • Experience in data/knowledge representation and reasoning, e.g., ontologies, SQL/NoSQL, knowledge graphs/OWL, Datalog.

  • Experience with process modeling, e.g., Petri nets, discrete event simulation, Resource Task Networks, Business Process Modeling Notation.

  • Experience in high performance computing, GPU computing.

  • Publication history in related fields.

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.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills 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".

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:

$126,500.00 - $199,100.00

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:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a


Required Skills:

ABC Programming Language, Business, Business Intelligence (BI), Business Processes, Business Process Modeling, Business Technology, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Industrial Engineering, Machine Learning, Pharmaceutical Sciences, Process Models, Programming Logic, Project Management, Reporting Management, Report Preparation, Social Collaboration, Software Development, Stakeholder Relationship Management, Waterfall Model


Preferred Skills:

Job Posting End Date:

06/19/2025

*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:R350482

PDN-9efa15ec-3e38-473b-9dcb-00433ca7056f
Job Information
Job Category:
Pharmaceutical
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Sr Spclst, Decision Science, Data Science
Merck
Cambridge, MA
May 23, 2025
Full-time
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