Rematching todays data for tomorrows agriculture

Work with us

Agrematch is a data driven discovery start-up in the field of agriculture. Agresense™, our discovery tool, is based on big-data science combined with agronomy know-how and machine learning algorithms. We analyze chemistry and biology data to identify compounds with high potential to be beneficial agriculture products.

Project Manager

To expand our development team, we are looking for a full-time, skilled, enthusiastic Project Manager. This person will join us in creating, developing and improving our products and processes. We are looking for a purpose-focused, self-motivated, experienced agronomists who will be accountable for the design and implementation of crop protection product programs.

Job Description:

Design and execute the development process of new crop protection compounds
Manage and oversee various aspects of product development activities including formulation and regulatory processes
Perform lab and field trials

Requirements:

PhD or MSc in Weed Science or Agronomy discipline and 3+ years of technical experience in product or project management
Strong interpersonal and organizational skills
Strong leadership experience, such as, experience in influencing through others and taking the initiative to deliver high quality results
Outstanding communication and presentation skills
Strong technical knowledge in herbicides, including their competitive positioning
Practical understanding of the agricultural marketplace
Product Development experience in the crop protection products market
Excellent research and problem-solving skills

Data Scientist

To expand our innovative computational team, we are looking for a full-time, skilled, enthusiastic data scientist. The successful candidate will join our strong team and will be a key player in the development of our technology. We are looking for someone with the following skills and qualifications:

Requirements:

Hands-on software engineering experience; Fluent in both reading and writing code in several languages and technologies (R, python)
Excellent coding skills, with an appreciation for elegant and clean code
Keen interest in biology, chemistry, bioinformatics and the various computational challenges they pose - an advantage
Excellent understanding of machine learning techniques and algorithms
Proficiency in using query languages such as SQL
Team player
Creative, self-motivated, responsible

Computational Chemist

To expand our innovative computational team, we are looking for a qualified Computational Chemist to join our multidisciplinary team of computer scientists, biochemists and agronomists. The successful candidate will apply bioinformatics, molecular modelling and computational chemistry techniques to help design the next generation of sustainable agricultural products.

Requirements:

PhD/MSc in Computational Chemistry
Strong track record of research accomplishments in the area of computational chemistry
Understanding of the physico-chemical properties of small-molecules and their interactions with proteins
Basic knowledge of organic chemistry
Scripting capabilities (Python, R)
Excellent understanding of machine learning techniques and algorithms – a plus
Strong communication skills and enthusiasm for working in an interdisciplinary environment
Creative, self-motivated, responsible

Python/R Programmer

To expand our innovative computational team, we are looking for a full-time, skilled, enthusiastic Python/R Programmer to join our growing team. The successful candidate will be a key player in the development of our technology. We are looking for someone with the following skills and qualifications:

Requirements:

Hands-on programming experience; Fluent in both reading and writing code in several languages and technologies (R, python)
Excellent coding skills, with an appreciation for elegant and clean code
Proficiency in using query languages such as SQL
Team player
Creative, self-motivated, responsible

Advantages:

Understanding of machine learning techniques and algorithms
Interest in biology, chemistry, bioinformatics and the various computational challenges they pose