We are actively recruiting a Senior Data Scientist within the Quantitative Biosciences Department at our Research Laboratories located in South San Francisco. This role will lead statistical analyses, the implementation of novel data pipelines, and develop machine learning models that enhance our ability to discover new therapeutic targets and drug candidates (molecules).

This role will apply rigorous biostatistical and computational methods to assist scientists in generating novel hypotheses for lead optimization across multiple modalities and analyzing data types from in vitro assays and in vivo models. The role also includes designing and developing agentic AI assistants that enable self-service data analysis, data visualization and summarization, mathematical modeling and data simulation, rapid information retrieval and QC, synthesis of decision-critical information, and support for medical writing of regulatory documents. Working closely with bench scientists and cross-functional partners, you will provide stakeholders with an in-depth understanding of complex data while developing novel computational pipelines and methodologies., * Become part of a creative and flexible team; collaborate and work closely with scientists in biology, pharmacology, chemistry, and data science to develop strategies and novel computational approaches to detect meaningful patterns and connections in sources of biological data (e.g., biochemical, biophysical, cellular, and in vivo)

• Help define and contribute to our data analysis and visualization infrastructure development, including the development and implementation of new agentic solutions
• Collaborate with bench scientists, therapeutic area discovery teams and across functional teams to develop biological hypotheses for computational interrogation
• Publish and present your data at conferences, Research Curiosity Chemistry Pipelines Innovation Statistics Compassion TensorFlow Agentic AI Simulations Biochemistry Epidemiology Data Science Data Analysis Biostatistics Data Modeling Deep Learning Drug Discovery Data Wrangling Data Pipelines Bioinformatics Self-Motivation Medical Writing Computer Science Data Integration Machine Learning Telephone Skills Natural Sciences Assay Development Programming Tools Biochemical Assays Data Visualization Chemical Structure Software Engineering Regulatory Documents Contingent Workforce Mathematical Modeling Information Retrieval Computational Biology Intellectual Curiosity Artificial Intelligence Pharmaceutical Sciences R (Programming Language) Self Service Technologies Python (Programming Language) +0

Google IT Automation with Python Senior Data Scientist Merck & Co., Inc

South San Francisco, CA*On-Site

Biology Research Curiosity Chemistry Pipelines Innovation Statistics Compassion TensorFlow Agentic AI Simulations Biochemistry Epidemiology Data Science Data Analysis Biostatistics Data Modeling Deep Learning Drug Discovery Data Wrangling Data Pipelines Bioinformatics Self-Motivation Medical Writing Computer Science Data Integration Machine Learning Telephone Skills Natural Sciences Assay Development Programming Tools Biochemical Assays Data Visualization Chemical Structure Software Engineering Regulatory Documents Contingent Workforce Mathematical Modeling Information Retrieval Computational Biology Intellectual Curiosity Artificial Intelligence Pharmaceutical Sciences R (Programming Language) Self Service Technologies Python (Programming Language) +0

Curiosity Chemistry Pipelines Innovation Statistics Compassion TensorFlow Agentic AI Simulations Biochemistry Epidemiology Data Science Data Analysis Biostatistics Data Modeling Deep Learning Drug Discovery Data Wrangling Data Pipelines Bioinformatics Self-Motivation Medical Writing Computer Science Data Integration Machine Learning Telephone Skills Natural Sciences Assay Development Programming Tools Biochemical Assays Data Visualization Chemical Structure Software Engineering Regulatory Documents Contingent Workforce Mathematical Modeling Information Retrieval Computational Biology Intellectual Curiosity Artificial Intelligence, We invite motivated candidates from computational disciplines (for example, statistics, biostatistics, data science, computer science, bioinformatics, or related fields) as well as from natural sciences (including biochemistry, chemistry, biology, pharmacology, or related fields) to apply. The ideal candidate will have a strong foundation in data science, AI, and software engineering, and/or working fluency with assay development and pharmacology in drug discovery and an interest in working at the interface of both.

The candidate will be highly motivated, creative, curious, and collaborative, with a passion for uncovering insights hidden within large data sets. This is an excellent opportunity for individuals who are intellectually curious and analytically minded. You should be able to communicate results clearly, concisely, and effectively., * Master’s (with 3+ years) or Ph.D. in epidemiology, biostatistics, computational biology, bioinformatics, computer science, chemistry, biochemistry, biology, pharmacology or related field and relevant computational experience, * Strong background with computational methods (such as statistics, machine learning, AI, or software engineering) and/or in natural sciences (such as biology, chemistry, pharmacology, or related fields)

• Experience analyzing data using tools such as Python or R
• Possess an interest in applying computational and/or experimental scientific expertise to problems in early target and drug discovery
• Collaborative, curious, and motivated to work across disciplines and build fluency outside your core area of expertise

Preferred Experience and Skills:

• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Proficient in data wrangling, mathematical modeling and data simulation, and comfortable working with large databases
• Have a track record of scientific contribution, which may include publications, impactful project work, or other research achievements
• Prior experience with pharmaceutical research projects supporting early target and drug discovery
• Experience with multiple data modalities, e.g. high content cell/tissue imaging and/or chemical structure data, integration with other data formats and performing interpretations

EligibleforERP, Bioinformatics, Biostatistics, Computational Biology, Computational Methods, Data Modeling, Data Science, Machine Learning, Pharmaceutical Research, Python (Programming Language), R Programming, Software Engineering, Statistical Analysis

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

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The salary range for this role is $159,600.00 - $251,200.00

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.