Senior Scientist, Biostatistics
Merck
Job Description
Our Research Scientists are our Inventors. We identify and target steps in disease mechanisms or pathways that could be inhibited or enhanced. Our goal is to isolate a compound that is effective against a disease target. Using innovative thinking, state-of-the-art facilities and robust scientific methodology we collaborate to discover the next medical breakthrough.
This position is for a Statistician who will contribute to identifying, developing and validating oncology biomarkers that can be used to support our companys oncology programs, and/or to serve as companion diagnostics. The position is also responsible for supporting regulatory filing related to oncology biomarkers. This position requires solid statistical knowledge, excellent communication skills and strong programming capability. A successful applicant is expected to be self-motivated and innovative.
Primary responsibilities:
Lead translational oncology biomarker statistical analysis plan development, statistical analyses, discussion, results sharing and publication.
Provides statistical support for companion diagnostics development including cut point selection and bridging analysis for regulatory approval.
Interacts with Discovery and Translational, Clinical, Regulatory, Statistical Programming, and other Research Laboratories scientists in analyzing oncology biomarker and clinical data.
Primary activities:
Serves as the lead statistician to support biomarker research for early oncology programs or late-stage oncology indications.
Develops scientific statistical analysis plans for oncology biomarker projects.
Analyzes biomarker and clinical data and interprets the results.
Prepares oral presentations and written reports to effectively communicate analysis results to multidisciplinary teams.
Identifies technical or other potential problems arising in the biomarker projects, proposes solutions and carries them out.
Participates in biomarker related meetings to gain high-level understandings of the projects, and to ensure the quality of the data and the analysis.
Conducts research for innovative statistical methods and their applications in biomarker projects.
Position Qualifications :
Education Minimum Requirement:
A PhD degree in statistics/biostatistics or related areas, or
A Master’s degree in statistics/biostatistics with at least 4 years of relevant work experience
Required Experience and Skills:
Solid knowledge of statistical analysis methodologies especially in Bayesian inference (including hierarchical modeling), logistic regression, and survival analysis
Solid knowledge of statistical and data processing software, especially R language
Strong oral and written communication skills
Ability to function well both independently and collaboratively
Strong project management skills
Demonstrated interest in statistical methodology research and in the application of novel methods to real-world data analysis problem
Demonstrated ability to learn, be proactive and motivated, and consistently focus on details and execution
Ability to collaborate with scientists and work on multidisciplinary teams
Preferred Experience and Skills:
Knowledge and experiences in Bayesian modeling and analysis with jags, stan or customized MCMC procedure using R is highly desired.
A specialization and relevant job experience in oncology
An understanding of the process to generate biomarkers, and the biology of disease and immunology
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.
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”.
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:
$111,400.00 – $175,300.00
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 (https://www.benefitsatmerck.com/) .
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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.
Employee Status:
Regular
Relocation:
Domestic
VISA Sponsorship:
Yes
Travel Requirements:
10%
Flexible Work Arrangements:
Hybrid
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
10/25/2024
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.
Job Posting End Date: 10/25/2024
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.
Requisition ID: R314642