Job Description
The Nonclinical Drug Safety (NDS) division at our company is seeking a motivated Computational Biologist/Toxicologist for our Computational Toxicology group. The successful candidate will have a passion for using computational biology and advanced data science approaches, including artificial intelligence (AI) and machine learning (ML), to inform drug development and safety.
Key Responsibilities:
- Individual contributor role, requiring mentorship of junior scientists
- Leverage expertise in computational biology, bioinformatics, and machine learning to create a pipeline for the analysis of multimodal data including but not limited to multi-omics, chemistry, drug metabolism and pharmacokinetics, and in vitro/in vivo toxicology data, aiding in the comprehension of toxicity mechanisms
- Lead the development of AI/ML models to construct advanced models for organ-specific toxicity and safety phenotypes across multiple modalities
- Work both independently and collaboratively with toxicologists, compound leaders, and assay owners within NDS, as well as researchers from other functional areas outside NDS, to enhance drug safety evaluations within and across multiple projects
- Influence the regulatory toxicology landscape through active participation in external consortiums, publications, and presentations at key scientific conferences
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Qualifications:
Education:
- Ph.D. (with 8+ years) or Master's (with 15+ years) in computational biology, computational chemistry, bioinformatics, computer science or related data science fields with relevant years of life sciences industry experience
Required Experience and Skills:
- Proven experience in analyzing various data types including transcriptomics, proteomics, metabolomics, molecular, and imaging data
- Demonstrable experience applying advanced AI/ML techniques, including but not limited to Deep Neural Network Frameworks, in problem-solving scenarios
- Proficiency in Python, R programming, and ML frameworks such as TensorFlow and PyTorch is essential
- Experience with version control systems, such as GIT, and related code reproducibility practices, such as documentation, is required
- Exceptional communication, presentation, and interpersonal skills to effectively distill complex technical concepts for a broad range of stakeholders is necessary
- A highly self-motivated individual with the ability to work independently
Preferred Experience and Skills:
- Proficiency in creating effective visualizations using platforms such as seaborn, matplotlib, ggplot2
- Experience with high-performance or cloud computing environments (e.g., AWS) and data lake platforms (e.g., Databricks)
- Prior experience working in a multidisciplinary environment within the Pharmaceutical Industry, Regulatory Agencies, or Academic Institutions
NOTICEFORINTERNALAPPLICANTS
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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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
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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/International
VISA Sponsorship:
Yes
Travel Requirements:
10%
Flexible Work Arrangements:
Hybrid
Shift:
1st - Day
Valid Driving License:
No
Hazardous Material(s):
N/A
Required Skills:
Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model
Preferred Skills:
Job Posting End Date:
01/31/2025
*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:R313427