Postdoctoral Research Fellow- Data Scientist (Hybrid)

Merck & Co. • Rahway, NJ

275d • $75,000 - $86,000 • Onsite

About The Position

Our Research Laboratories' Postdoctoral Research Fellow Program aims to be a best-in-industry program for industrial postdoctoral researchers, designed to provide you with an academic focus in a commercial environment. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery. An opportunity to join an innovative data analytic team and make concrete impacts on improving human life! Our company is a global healthcare leader with a diversified portfolio of prescription medicines and vaccines. Our company's Research Laboratories is a scientific research institute of tomorrow and is taking our company's leading pharmaceutical R&D expertise to create breakthrough science that radically changes the way we approach diseases.

Requirements

• Candidates must currently hold a PhD OR receive a PhD within one year in Statistics, Data Science, Bioinformatics, Computer Science, or related disciplines.
• Solid knowledge of imaging analysis, preferably with histology images.
• Demonstrated strong programming skills, especially in R language and Python.
• Strong oral and written communication skills.
• Ability to function well both independently and collaboratively.
• Demonstrated interest in data analytic methodology research and in application of novel methods to real-world problems.
• Demonstrated ability to learn, be proactive and motivated, and consistently focus on details and prompt execution.
• Ability to collaborate with scientists and work on multidisciplinary teams.

Nice To Haves

• Knowledge of various Machine Learning methods, including deep learning.
• Knowledge of generating, processing, and analyzing large and complex data generated by modern life science technologies.

Responsibilities

• Provides data analytic solutions to a multi-omics-based approach in target discovery and biomarker development leveraging both digital imaging and molecular data types.
• Ensures that sound scientific principles and analytic methods are applied.
• Utilizes data analytic methods including statistical modeling, machine learning, and visualization.
• Interacts with people with diverse background and expertise, including research scientists, clinical scientists, regulatory experts, IT specialists, and other teams in our Research & Development Division.
• Develop/modify an in-house, deep learning based digital pathology pipeline for primitive identification in the liver microenvironment (LME).
• Extraction of human interpretable features (HIF) from LME and integrate HIF with other molecular data modalities such as bulk RNAseq, spatial transcriptomics, and proteomics.
• Development and implementation of subgroup analysis methods to identify the underlying response/resistance mechanisms of patients to different treatments, using a multi-omics approach.
• Serves as data analytic representative in the cross-functional teams.
• Identifies technical or other potential problems arising in the design, conduct, and analysis of the projects, proposes solutions and carries them out.
• Identifies opportunities to add value to drug/vaccine R&D programs.
• Develops software programs, algorithms, and automated processes.
• Applies and implements various data analytic techniques and methods.
• Orally presents and prepares written reports to effectively communicate analysis results to audience with diverse background and expertise.
• Is involved in research activities for innovative statistical methods.

Benefits

• Bonus eligibility
• Health care and other insurance benefits (for employee and family)
• Retirement benefits
• Paid holidays
• Vacation
• Sick days

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Chemical Manufacturing
• Education Level: Ph.D. or professional degree