Jobs · Analyst · Pennsylvania

Senior Scientist, Computational Safety & Exploratory Pharmacology

Merck · West Point, PA · 3 wk ago
Analyst$106k–$167k/yrFull-time

Our Nonclinical Drug Safety (NDS) division is seeking a motivated biomedical engineer or integrative systems scientist with experience in signal processing and/or computational modeling using physiologic signals to join our Safety & Exploratory Pharmacology group. This team collaborates with discovery research, preclinical, and clinical development partners to identify and develop safe, effective therapeutics through a blend of standard screening tools, regulatory-enabling assays, and innovative solutions.

About the role

We are looking for an MS or early-career PhD-level individual contributor to complement existing expertise, expand the team’s capabilities, and drive future innovation. The successful candidate will develop their career toward increasing responsibility and independence within the team.

Responsibilities

  • Analyze physiologic signals to contribute to risk assessment evaluations and develop data visualizations for scientific exploration.
  • Build new in vivo analysis tools (signal processing, machine learning, AI) for nonclinical data and refine or develop new endpoints.
  • Work with external vendors to identify and incorporate potential solutions.
  • Collaborate with internal data science and IT teams to implement data tools.
  • Integrate new analysis workflows into the Safety & Exploratory Pharmacology (SEP) group.
  • Contribute to SEP initiatives to develop and characterize novel alternative methods (NAMs) with in vitro scientists.

Requirements

  • Bachelor’s (with 7+ years), Master’s (with 4+ years), or Ph.D. in Biomedical Engineering, Bioengineering, Computational Biology, or a related scientific field.
  • Relevant experience in the collection and computational analysis of physiologic signals (e.g., ECG, EEG, blood pressure).
  • Background in pharmacology, physiology, biology, biomedical sciences, or toxicology.

Skills

  • Required:
    • Experience with nonclinical signal analysis.
    • Proficiency with programming tools (Python, MatLab, R) for physiological signal analysis, feature extraction, and/or development of computational models (including AI tools and workflows).
    • Previous experience working with physiological, continuous, time-series data sets (including visualization, analysis, and/or interpretation).
    • Motivation and enthusiasm to expand programming/analysis skill set and learn new software tools.
    • Ability to work within teams as a contributor and enable collaborations across departments.
    • Ability to collaborate with both laboratory scientists and data scientists/IT specialists.
    • Excellent communication skills and ability to translate complex technical issues to laboratory scientists.
  • Preferred:
    • Nonclinical signal analysis experience in cardiovascular, neuroscience, or respiratory endpoints.
    • Experience with statistical and data visualization tools and libraries.
    • Experience with cloud computing environments.
    • Exposure to data science best practices and reproducibility.
    • Prior experience working in a multidisciplinary environment within the pharmaceutical industry.
    • Willingness to influence safety pharmacology science through external consortiums, publications, and/or scientific presentations.

Pay

The salary range for this role is $106,200.00 – $167,200.00. An employee’s position within the salary range will be based on factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

Benefits

  • Medical, dental, vision, and other insurance benefits (for employee and family).
  • Retirement benefits, including 401(k).
  • Paid holidays, vacation, compassionate, and sick days.

Employee Status: Regular
Relocation: Domestic
VISA Sponsorship: No
Travel Requirements: No travel required
Shift: 1st - Day

Similar jobs