Senior Research Scientist - Data Science (Chemistry)

Goa, India

Applications have closed

Company Description

Syngenta is one of the world’s leading agriculture innovation company (Part of 23 Billion USD Syngenta Group this is the 2020 no. so we remove. Syngenta Crop Protection and Syngenta Seeds are part of Syngenta Group, one of the world’s leading agriculture companies. Our ambition is to help safely feed the world while taking care of the planet. We aim to improve the sustainability, quality and safety of agriculture with world class science and innovative crop solutions. Our technologies enable millions of farmers around the world to make better use of limited agricultural resources.

A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet.

Job Description

ROLE PURPOSE   

 

 

 

Build end-to-end digital and data capabilities & lab automation solutions for PT&E to support the lab operations aligned with the PT&E digital transformation.  This would involve supporting all the technical functions within PT&E with capabilities including Design of Experiment (DoE), programming, automation and smart technologies to enhance and proactively drive the efficiency of lab operations, decision making, continuous improvement and data quality to support the PT&E strategy.

 

 

ACCOUNTABILITIES

 

·       Development and provision of data and data Models supporting management and operational function-level business intelligence dashboards and scorecards.

·       Development and provision of advanced analytical models supporting the site PT&E science functions.

·       Work with colleagues to identify and promote opportunities to improve the productivity of lab work and experimental strategies using tools such as DoE.  Help and support colleagues with expertise aligned to specific projects and general training.

·       Proactively engage and partner with colleagues across the different PT&E science functions to identify opportunities to improve the productivity of generation, handling and curation of data aligned to the PT&E data strategy

·       Collaborate with colleagues to ensure that data is managed in line with the broader PT&E and IS strategies.

·       Identify opportunities and drive the implementation of ‘smart lab’ technologies within the PT&E site activities.

·       Actively engage with the Continuous Improvement activities in PT&E, learning and using tools in day-to-day activities and identifying aspects of quick-win projects that would benefit from data support and expertise.

·       Keep up to date with developments, both internal and external, in scientific computing tools and best practices for data management by joining internal networks, following relevant literature and through external collaborations and partnerships as appropriate.

·       Maintain organizational awareness of PT&E and CP R&D IT function globally and collaborate and drive project implementation in PT&E functions.

·       Maintaining confidentiality of all Syngenta intellectual property.

·       To maintain highest standards of HSE in the group operations thus contributing to the site HSE performance.

 

Qualifications

  • Formal training and/or qualification in a Chemistry, Biology, Engineering or Computer Science discipline (degree or equivalent may have MSc / Ph.D.) plus 3-5 years hands-on experience in similar or related roles
  • A broad understanding of science within the function: like Product Technology & Engineering (PT&E) Chemistry, Biology or Engineering
  • Knowledge and practical experience of Operational Excellence/LEAN Six Sigma
  • Expert and demonstrable experience of some software tools like SQL, VBA, R/Python, and awareness of other standard technologies used in scientific computing in R&D
  • Experience and understanding of basic statistical analysis principles and techniques
  • Experience analytical science and associated data integration

Additional Information

Preferred Requirements

·    Strong planning and organizational skills

·    Good awareness of the activities of colleagues and others in own work area

·    Proactive approach

·    Good communication skills

·    Good influencing and persuading skills

·    Interest in automating equipment and data analysis using tools like e.g., python or other programming languages, gaining more insight from data using Design of Experiments (DoE), and using continuous improvement to optimise processes.

·     Requires in-depth knowledge/experience to respond to non-routine situations and to choose the best solution or approach from a range of options, with the ability to consider the short-term implications of each

·     Process analysis: An ability to understand problems outlined by colleagues, extract the process they undertake from inputs (raw data, identifiers, etc.) to required outputs & what happens at each step

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Biology Business Intelligence Chemistry Computer Science Data analysis Data management Data quality Data strategy Engineering Python R R&D Research SQL Statistics

Perks/benefits: Career development

Region: Asia/Pacific
Country: India
Job stats:  10  1  0

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