Merck 2024 University Recruiting - Real-world Evidence and Data Science (CORE) - Co-op in Boston, Massachusetts
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 Division can provide you with great development and a chance to see if we are the right company for your long-term goals.
The Center for Observational and Real-world Evidence (CORE) is recruiting for one co-op student for 6 months starting in 2024. The co-op student will collaborate with and support a diverse set of scientists in the CORE Real-world Data Analytics and Innovation (RDAI) team to develop advanced, strategic real-world evidence capabilities and support data science imperatives (i.e. disease identification, treatment pattern analyses, etc.). You will bring in skills and classroom knowledge of computer programming, quantitative analysis, and data science and apply them in projects or studies under the supervision of experienced data science experts in the team.
Under routine supervision, the Co-op will fulfill the following responsibilities:
Apply epidemiological, health outcomes, or statistical learning methods to evidence generation projects.
Develop an understanding of Real-World Data (RWD) and their use cases in pharmacoepidemiologic and health outcomes research.
Provide hands-on programming and quantitative analysis support cross to specific therapeutically area projects or studies.
Build machine learning/biostatistical/statistical models for prediction or classification of disease(s) or treatment outcomes.
Effectively communicate novel findings and methodological approaches to internal and external stakeholders
Required Education and Experience:
Candidate is currently enrolled in a graduate (or undergraduate) degree program.
Candidate is majoring in Epidemiology, Biostatistics, Data Science, Biomedical Informatics, Computer Science, or a related computational field.
Candidate has successfully completed 1-2 years of the following courses with – biostatistics, statistics, or machine learning.
Candidate is available to work full-time for 4 to 6 months starting in the 2024.
Candidate resides within the Boston area.
Please note when applying for this position, if the candidate is selected for an interview, the applicant must be prepared to submit two letters of recommendation and a copy of the academic transcript.
If offered position, candidate is expected in Boston office 2-3 days per week.
Preferred Experience and Skills:
Candidate has solid programming skills in R, SAS, SQL and/or Python and familiar with common machine learning and data mining packages/libraries.
Candidate is familiar with platform programming environment.
Candidate is familiar with real-world or health/medical/epidemiological databases.
Candidate is familiar with epidemiology and public health.
Candidate is familiar with data visualization.
Candidate has co-authored scientific presentation or peer-reviewed publication that utilized statistical learning methods.
Candidate has strong attention to detail, with a quality-focused mindset and are diligent about programming and testing.
Candidate is enthusiastic about working in a matrix team of colleagues of different backgrounds
Candidate is effective oral and written communication skills that enable personal impact with senior-level decision makers
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:
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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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”.
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.
Intern/Co-op (Fixed Term)
No Travel Required
Flexible Work Arrangements:
1st - Day
Valid Driving License:
Requisition ID: R259927
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