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Job Description

Purpose of the role

  • In this position you are responsible for implementing, managing, and leading globally the interface between business and IT in the chemoinformatics area, which includes the process and data analysis. In this position, you will work closely with both our stakeholders and scientists in the R&D Drug Discovery Chemistry, Antiparasitics and Antiinfective Teams as well as with interdisciplinary IT Development Teams (e.g., data science, database, product teams). The requirements/roles are project-dependent and differ from project to project.
  • In this position you will provide computational guidance and solutions to support solving chemistry-related problems.
  • In this position you will implement, coordinate, and use machine learning approaches to accelerate the research and capabilities in new areas relevant to chemistry in small molecules drug discovery and development.

Main responsibilities

  • You will collaborate with our Animal Health and Human Health Drug Discovery teams on multiple innovative projects evaluating, analyzing, applying, visualizing, and optimizing existing Machine Learning Models to answer and predict novel scientific questions.
  • Translate business and user needs into proper solutions using the right tools in the High-Performance Clusters (HPC) and cloud based infrastucture.
  • Work with IT development teams to implement and ensure that they fully understand the specifications.
  • Work in various intercultural local and virtual global teams in cooperation with business representatives and different IT groups in providing innovative cheminformatics solutions in discovery of novel pharmaceuticals.
  • Proactive coordination and communication between the different business stakeholders, IT developers and the supporting functions across the interdisciplinary team including adaptation of Business Intelligence and Modeling Tools.

The primary activities include but are not limited to:

  • Lead and Contribute to the development of data analysis workflows and chemoinformatic next generation machine learning solutions.
  • Support and partner with drug discovery researchers and external collaborators in the planning, analysis, interpretation, presentation, and publication of diverse chemical and biological data sets.
  • Responsible for analyzing and interpreting chemical and biological data, analyzing, and testing virtual screening data, and support in the decision-making process of the project teams for potential drug candidates.
  • Additionally, lead, develop and validate predictive models, collaborate with multidisciplinary teams, and contribute to software and tool development.
  • Provide chemoinformatic consulting and software training to researchers.
  • Provides computational guidance/simulations to support solving chemistry-related problems.
  • Defines use of machine learning approaches to enhance modeling capabilities in new areas relevant to chemistry-related drug discovery and development.

Detailed Activities:

  • Data Analysis and Interpretation: Accountable for analyzing and interpreting chemical and biological data using computational tools, algorithms, and statistical techniques. Derive meaningful insights from the data to support decision-making in drug discovery projects.
  • Data Mining and Analysis: Extract meaningful information from chemical (Biovia, Perkin Elmer products) and biological databases (Activity Base, IDBS), enabling the identification of patterns, relationships, and trends that aid in the discovery of novel chemical entities and optimization of existing molecules.
  • Virtual Screening: Employ computational methods to efficiently screen large chemical databases, accelerating the drug discovery process by identifying potential drug candidates or bioactive compounds.
  • Collaborate with cross functional teams globally on AI/ML initiatives. Knowledge to analyze models, tools, and methods in this area like Stardrop, MOE, RDKit, Spotfire, PyMOL etc is a plus.
  • Cheminformatics Software Development: Contribute to the development of software tools and algorithms tailored for chemical data processing, analysis, and modeling, testing, and enhancing workflow efficiency, data management, and facilitating access to powerful computational methods for the scientific community.

What we offer in the Czech Republic:

  • Exciting work in a great team, global projects, international environment
  • Opportunity to learn and grow professionally within the company globally
  • Hybrid working model, flexible role pattern (e.g. even 80% full-time is possible in justified cases)
  • Pension and health insurance contributions
  • Internal reward system plus referral programme
  • 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
  • Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card
  • Vodafone, Raiffeisen Bank, and Mall.cz discount programs
  • Parking in the garage, showers, refreshments, massage chairs, library, music corner
  • Competitive salary, and many more

Ready to take up the challenge? Apply now!

Current Employees apply HERE

Current Contingent Workers apply HERE

Secondary Language(s) Job Description:

Education:

  • Academic level – e.g., graduated bachelor or master’s degree in Chemoinformatic.

Ideally a PhD in a Life Science and a strong background in implementing chemoinformatic approaches for drug discovery small molecules including common tools like Revvidy Signals VitroVivo and high-throughput platforms from Biovia, Perkin Elmer and IDBS

  • Extensive and broad experience in the computational chemistry
  • Familiarity with AWS cloud environments and big data approaches
  • Solid programming skills and knowledge of statistical methods

Skills Required:

  • Experience manipulating, analyzing, and interpreting chemical and biological data.
  • Knowledge in Python, SQL, ETL Tools like Informatica, Spotfire, Power BI
  • Data Science, Machine Learning good understanding.
  • Database Modeling And Design
  • Very good analytical and problem-solving skills working closely with the business areas in an interdisciplinary team.
  • Effective at working with business partners to understand their needs to translate them into clear requirements.
  • Very good communication and coordination skills to align and manage activities, ideally with agile methodologies.
  • Can pro-active coordinate and operate independently.
  • Fluent in English; excellent communication skills.
  • High-Performance Computing is a plus
  • Ideally knowledge in AI/MLOPS like ADA Dataiku, Datalab and Posit (R-Studio), Databricks, Streamsets

Competencies

  • Customer Focus
  • Business and Technical analysis of biological and chemical datasets
  • Productive Communication

Search Firm Representatives Please Read Carefully 

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:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills:

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management

Preferred Skills:

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Confirmed 12 hours ago. Posted 6 days ago.

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